Top Artificial Intelligence Experts 2025

Pranav Saji is an AI Security and Generative AI expert based in the San Francisco Bay Area, currently Head of AI Security at Symosis Security and a Machine Learning Consultant at LinkedIn. He has delivered over $50M in business impact across Fortune 100 enterprises and startups, founded or led AI at 5+ companies, and built production AI systems spanning security analytics, agentic workflows, and large language model applications. A recognized voice on AI agent and MCP security, he publishes thought leadership in outlets such as HackerNoon and advises enterprises on securing generative AI and agentic systems. He is an accepted trainer at OWASP Global AppSec USA 2026 and a Core Judge for the USAII Global AI Hackathon. He holds a Master's in Computer Science (AI specialization) and CompTIA Security+ and Azure AI Engineer certifications.

Abhijit Choudhary is a seasoned data scientist and AI practitioner with more than 15 years of experience spanning enterprise analytics, machine learning, natural language processing, intelligent automation, and Generative AI across the United States, Singapore, and India. His career has evolved through successive technology waves, from information management and digital transformation to modern AI systems. He holds dual master's degrees from Georgia Tech (M.S. Analytics) and IIT Guwahati (M.S. Mathematics & Computing) and is an IEEE Senior Member. Abhijit has led and contributed to enterprise AI initiatives across financial services, technology, and large-scale business operations, with expertise in Generative AI, large language models, intelligent document processing, information retrieval, AI governance, and the practical challenges of deploying trusted AI systems in production environments. He has presented technical research at Princeton University and NJIT and has been recognized through multiple international industry awards, including the AI Excellence Awards, Stevie Awards, and Globee Awards. Topics available for commentary include Generative AI, enterprise AI adoption, machine learning, natural language processing, AI governance, responsible AI, intelligent automation, and the future impact of AI on business and society. Comments, interviews, and expert opinions are provided in an independent professional capacity and reflect my personal views and experience. They do not represent the views, positions, or policies of my current employer. Additional background, media coverage, presentations, and speaking engagements are available at: https://abhijit-seasoned-ai-data-scientist.netlify.app/

Authored 20 AI research papers. Website: https://prane-eth.github.io/

I help organizations stop treating AI like a science project and start using it to run real work. Currently the senior director of AI strategy at ABBYY, a global leader in Document AI and digital transformation solutions. With over 10 years of experience in the AI field, I lead the creation and execution of the go-to-market strategy for ABBYY's cutting-edge AI technology, delivering value to customers and stakeholders across various industries and domains. My core competencies include product vision and strategy, technology evangelism, customer innovation, and digital transformation. I am passionate about building and launching innovative products that solve real-world problems, leveraging AI capabilities and technology ecosystem. I also enjoy evangelizing technology offerings and sharing my insights and expertise as a thought leader in the AI space. My mission is to help customers and partners achieve their digital transformation goals and unlock new opportunities with AI.

With over 15 years of hands-on experience in affiliate marketing, e-commerce, and digital growth strategy, I’ve helped brands scale profitable online partnerships and build high-performing affiliate ecosystems. As the founder of BestAIFor.com - a fast-growing AI tools directory, benchmark platform, and independent review hub - I now combine my performance marketing background with deep expertise in the AI landscape. I personally evaluate and benchmark hundreds of AI tools every month, tracking real-world metrics like speed, accuracy, pricing shifts, ROI, and usability across productivity, content, marketing, and creative workflows. My work focuses on cutting through the hype to deliver actionable, data-backed insights that help solopreneurs, marketers, and businesses choose the right AI stack for 2026 and beyond. Whether I'm setting up affiliate programs for AI tool makers, optimizing campaign performance with AI-powered automation, or identifying emerging trends through original benchmarks, I’m driven by one goal: turning complex technology into practical growth advantages. I’m passionate about sharing transparent, no-BS analysis and helping the industry move faster with better information. You’ll often find me publishing fresh benchmarks, “State of AI Tools” micro-reports, and strategic guides on BestAIFor.com.

I am Brian Tham, an Applied Artificial Intelligence undergraduate at Singapore Institute of Technology with a strong academic record and practical experience in AI research and development. My work focuses on advancing AI applications, particularly in the areas of model protection, computer vision, and machine learning. You may view my portfolio/website at https://tham.ai As a Research Student at Singapore Institute of Technology, I've contributed to significant work on AI model protection, specifically focusing on defending deep neural networks against model extraction attacks. My research encompasses model watermarking, adversarial robustness, and advanced defense mechanisms, with practical applications in medical imaging through UNet model implementation for brain MRI segmentation. My technical portfolio includes notable projects such as FoodVision, a real-time deep learning food detection system utilizing YOLOv8 technology, and a Speech Emotion Recognition system based on Wav2Vec2. I've also conducted comprehensive analyses of emerging technologies, including a detailed study of ransomware impacts across various industries and an evaluation of AI chatbot capabilities. Previously, I enhanced medical education at Lee Kong Chian School of Medicine, where my e-learning courseware development contributed to a 20% improvement in student test scores. My professional experience extends to the Ministry of Defence of Singapore, where I specialized in data processing automation and visualization using PowerBI and Excel. I hold multiple prestigious certifications, including Google Professional Machine Learning Engineer, Google Business Intelligence, and AI4I® – Proficiency in AI from AI Singapore. My technical expertise spans Python, machine learning frameworks (TensorFlow, PyTorch), and data analysis tools, complemented by a deep understanding of quantum computing, large language models, and autonomous vehicle technologies. This combination of academic excellence, practical research experience, and technical expertise positions me at the forefront of AI innovation and its real-world applications.

Ian Bann is an AI-driven SEO strategist focused on diagnosing how authority and visibility break inside AI-generated search results. His work examines AI search visibility, attribution behaviour, and why strong websites lose visibility despite strong traditional SEO signals. He studies how AI systems interpret, summarise, and reuse website content, and why certain sources are selected while others are ignored. Ian focuses on AI search visibility, entity clarity, and the structural signals that influence attribution and trust in generative search environments. He shares practical observations, analysis and what ai tools to use to tract how AI systems surface information and what changes improve visibility inside AI-generated answers. Edit

Head of AI Foundry at Evergreen Insight Global, where I lead both engineering and sales teams building AI/ML-enabled software for Fortune 500 clients in healthcare, financial services, and biopharma. I specialize in zero-trust AI architectures, enterprise governance frameworks, and production-grade AI guardrails for regulated industries. I've scaled our AI Foundry team from 0 to 70 people while maintaining hands-on technical involvement in client deployments. Previously served as VP of Data & AI at Truist Financial. Academic credentials include Stanford, MIT, and BITS Pilani, with 15+ years of experience spanning corporate banking, AI/ML engineering, and enterprise software development. Recent research contributions include presenting at ICMLA 2025 and being invited as a session chair for their Generative AI track. My work focuses on practical enterprise AI deployment patterns and responsible AI implementation at scale. Available to comment on: enterprise AI strategy, AI governance and compliance, agentic AI systems, AI in regulated industries, building and scaling AI teams, and the gap between AI research and production deployment.

As an AI SEO strategist and high-quality AI content writing expert, I help B2B brands, digital agencies, and SaaS companies scale their content marketing efforts using AI-driven strategies. 💡 What I Do: 👉 Implement AI-powered SEO strategies to improve organic traffic & rankings. 👉 Optimize AI-generated content to ensure human-like quality & searchability. 👉 Help businesses automate & streamline their content production without sacrificing engagement. 📈 How I Can Help Your Business: 👉 Increase search visibility & organic reach through AI-driven SEO. 👉 Develop high-quality, optimized content at scale. 👉 Improve content workflows with AI automation & strategic insights. I share my insights on AI blogging, SEO automation, and content strategy at harisundar.com. Let’s connect if you’re looking for AI-powered solutions to take your content marketing to the next level. Little of my story From battling a chronic illness since childhood to stepping into online marketing. Self-taught SEO, Content Writer, AI tools expert, and Blogger. I spent most of my time learning the latest and industry-leading SEO strategies to grow my blog’s traffic quickly. I am here to help you with your SEO and content writing needs. Rebranding under harisundar.com, I now share insights and reviews, embracing imperfection and continual growth. Through perseverance and learning, I've found purpose and passion in sharing valuable content with others, aiming to inspire and inform.

As the CMO and Founding Member of AiNews.com, I’m passionate about making AI news accessible and understandable to audiences worldwide. My journey in AI journalism and digital marketing has been driven by a commitment to responsible, transparent reporting and a vision of democratizing AI insights. At AiNews.com, we bring the latest in AI developments to a global readership, blending timely, in-depth reporting with cutting-edge storytelling, including AI avatars that bring complex stories to life. I helped found AiNews.com to fill a gap in aggregating trustworthy AI news in one place, helping leaders in AI and tech stay informed on impactful trends while minimizing their time in searching for news. Our team’s dedication to transparency and ethical reporting has established AiNews.com as a respected source among AI enthusiasts, tech leaders, and business decision-makers. Journalists interested in AI's evolving impact on business, society, and emerging tech will find AiNews.com’s perspective invaluable. I'm excited to connect, collaborate, and share insights that contribute to understanding and shaping AI's future.

Founder of Skillenai. AI/ML engineer at SimplePractice. AI engineering and data science leader with 10+ years building production ML and LLM systems, including AI agents, retrieval infrastructure, and large-scale NLP pipelines. Founder with exit: built The Knowledge Roundtable (acquired by Varsity Tutors); scaled to 100k users. Co-inventor on 7 patents in fintech risk modeling and payments infrastructure. Certified AI Engineer (AI Makerspace, 2025).

Monica is the Founder and CEO of Monic AI Systems, where she helps small and mid-sized businesses become visible inside AI platforms like ChatGPT, Claude, Perplexity, and Google AI. With over 20 years of experience across companies including BP, ExxonMobil, and NTT Data, she has led large-scale digital transformation and data initiatives that have driven more than $300M in measurable business impact. Today, she focuses on what she calls “AI Visibility” — helping businesses get recommended by AI instead of lost in traditional search results. Her work combines content strategy, entity positioning, and AI-driven marketing systems to help companies attract customers in a world where “AI does not rank, it selects.” She is frequently sought after for commentary on how AI is changing marketing, search behavior, and customer acquisition.

Dr Sarah J Daly is a leading AI Strategist and Researcher specialising in Trust, Governance, and Human Capability for Enterprise AI. With a PhD and deep expertise in responsible AI adoption, she helps organisations navigate the complex intersection of artificial intelligence, human decision-making, and institutional accountability. As founder of AI 360 Review, Sarah provides evidence-based frameworks that enable enterprises to deploy AI with confidence, clarity, and ethical rigour. She is a sought-after voice on the human dimensions of AI transformation — from workforce readiness to governance design — and brings a rare combination of academic depth and real-world strategic insight to every engagement. Whether advising boards, speaking at industry events, or publishing original research, Sarah translates the complexity of enterprise AI into actionable, trustworthy guidance.

I build infrastructure for emerging technology transitions—and have been doing it for 20 years. Many know me for my work in digital health, where I spent two decades helping the industry understand how technology shapes behavior and decision-making. That work taught me something: every major platform shift creates new vulnerabilities and opportunities, and the companies that thrive are the ones who see them early. Today I'm focused on the agentic era—where AI systems operate autonomously and require fundamentally new approaches to security, commerce, and trust. WHAT I'VE SHIPPED Co-author of the #1 bestselling book ePatient 2015: 15 Surprising Trends Changing Healthcare (featured in Bloomberg, Forbes, and other publications). Co-founder of the FemAging Project, a global initiative driving women's health innovation. Creator of Femalytics, an AI-powered intelligence platform. Author of two FemAging Index studies, including one sponsored by AARP. Founder of Enspektos, LLC (est. 2005), which has evolved through Web 2.0, mobile, and ML eras—always at the intersection of emerging tech and real-world application. WHAT I'M BUILDING NOW AI Security Guard (aisecurityguard.io) is a multi-faceted platform for securing autonomous AI, combining protection APIs, product tooling, education, and original research on the agentic future.

Paul Irolla, I am available for expert insights on: AI ethics & business impact, cybersecurity trends, LinkedIn/creator economy strategies, SaaS product building and machine learning. Let's make complex tech accessible and quotable. My background: - CEO of Meet Lea (AI that manages LinkedIn authentically: content, comments, engagement in your voice – safe & effective). - Ph.D. in Artificial Intelligence and Cybersecurity (Paris-Saclay University). My thesis was on neural networks for Android malware. - International speaker (Black Hat Asia, Chaos Communication Congress, ForSE). - Reviewer of scientific papers for Journal of Computer Virology and Hacking Techniques.

Maid Dizdarevic is a career strategist and 8x LinkedIn Top Voice covering AI in job search, ATS systems, and modern hiring. Her content reaches over 1 million professionals monthly, breaking down how AI is rewriting resumes, interviews, and recruiter outreach in 2026. She is the creator of HIRED, a 90-day AI job search playbook used by job seekers to navigate ATS filters, AI-screened applications, and the new interview landscape shaped by tools like ChatGPT and Claude. Available for commentary on: AI in hiring, ATS optimization, resume strategy, LinkedIn personal branding, the shift away from traditional job applications, career pivots in the AI era, and how candidates can use AI ethically in their search. Based in San Francisco, USA, available for written quotes, async interviews, and timezone-flexible calls with US and UK publications.

Leo Morejon has spent his career at the intersection of technology and human behavior. He got his start at JWT when social media was still new territory for brands, then spent years at 360i running Oreo cookie's social media. That run produced the first Guinness World Record ever achieved through social media and the Oreo Blackout Tweet during Super Bowl XLVII. That single post redefined what it meant for a brand to be present, fast, and human in the moment. This work has been recognized with a Cannes Lion, CLIO, and other awards. He has also taught digital marketing and MarTech as an adjunct professor at Iowa State University and West Virginia University. Today Leo leads social media marketing and influencer marketing in-house for major brands and is a leader in AI. He sits on the AI Center of Excellence for a Fortune 500 company and builds and teaches AI on his own. His projects include JingleMyBrand.com, an AI jingle generator he vibe-coded in a weekend. What drives him isn't the technology itself but the harder questions underneath it: How do we use AI responsibly? What do we owe the people these systems affect? What does it mean to stay human as the tools get faster? Outside of work, Leo is a husband and father to a fearless three-year-old and a pug.

Vinothkumar Kolluru is a Senior Data Scientist at Fractal Analytics with 9+ years of experience in NLP, Machine Learning, and Deep Learning. He builds AI-driven solutions that improve customer experience and decision-making, with a focus on customer segmentation, friction detection, and digital journey optimization for large-scale web platforms. He has delivered end-to-end models across tech, healthcare, and marketing—ranging from NLP-based document summarization and topic categorization to predictive analytics—using transformer architectures (e.g., BERT), sequence models, and classical ML. Vinoth has also led analytics initiatives such as call categorization for healthcare contact centers and relevance modeling to improve campaign targeting and performance. A passionate researcher and contributor to the AI community, Vinoth has 50+ publications and 246 citations (h-index 9). He is recognized with the Dr. Abdul Kalam Young Achiever National Award and holds an MS in Data Science from Stevens Institute of Technology, along with a Gold Medal in Engineering from Anna University. His core toolkit includes Python, SQL, AWS, and Azure, and he enjoys translating complex data into practical, measurable business impact.

David Quaid is a New York–based international SEO consultant and Managing Partner of Primary Position, an SEO-only agency he founded in 2005 after starting in SEO in 2002. With over 20 years of experience, he specializes in technical SEO, content strategy, international and e‑commerce SEO, and AI‑driven search. He is widely positioned as an AI SEO and GEO/LLM search expert, known for explaining how classic ranking signals still drive generative answers and LLM retrieval. Beyond agency work, he advises startups and SaaS companies, appears regularly on podcasts and YouTube, and is cited as one of the top AI and LLM-focused SEO operators in NYC

Dhyey is an AI & computational math researcher at Amherst College. His work sits between statistical learning and mathematical rigor, developing methods and software for robust modeling, efficient computation, and machine-assisted reasoning. He's especially interested in bridging foundations (proofs, geometry, probability) with practical ML systems. Previously he has published novel open-source Python packages amassing 40k+ downloads, and published papers with professors and executives of Fortune 500 companies. He's an active guest author and contributing writer to major industry media publications such as VentureBeat, LeadDev, DZone, etc.