Featured Software Quality Assurance Experts

Experienced Software QA Engineer with over 5 years of expertise in software testing, specializing in high-quality software delivery through meticulous test planning and execution. Proficient in various testing methods for web and mobile applications, and skilled in analyzing user requirements and developing comprehensive test strategies.

AI & Enterprise Systems Reliability Expert and IEEE Senior Member (SMIEEE) with over 19 years of experience in enterprise software quality engineering across telecom, retail, and financial domains, including work at IBM. Specializes in distributed systems, transaction validation, and AI-driven testing frameworks, with a strong focus on identifying hidden correctness failures in large-scale enterprise platforms. Has contributed to research on system correctness, AI governance, and observability challenges, and actively participates in peer review for international journals such as Informatica and other peer-reviewed venues. Passionate about improving reliability and correctness in complex enterprise systems and advancing quality engineering practices in AI-enabled environments.

Satish Reddy Budati is a Test Service/Automation SME and IEEE Senior Member with over 18 years of experience in software quality engineering, specializing in large-scale distributed systems across retail, supply chain, and energy domains. He has led end-to-end validation strategies for complex enterprise ecosystems, including OMS, WMS, inventory, logistics, and financial platforms, ensuring data integrity and system reliability at scale. His expertise spans API testing, CI/CD automation, backend validation, and defect analysis across microservices architectures. Satish is also an active peer reviewer and contributor to research in continuous testing, API security, and privacy-enhancing validation frameworks.

Kiran Paul Kanikaram is a Principal Engineer, Testing in Majesco, with over 15 years of experience in software quality engineering across insurance, retirement services, healthcare, and fintech SaaS platforms. He leads enterprise QA initiatives for cloud-native SaaS products, with a focus on AI-driven test automation, agentic testing pipelines, risk-based quality engineering, and enterprise test automation architecture built on Selenium, Python, and CI/CD frameworks. His recent work centers on integrating AI into modern QA practice, including AI-assisted test generation, intelligent regression optimization, and self-healing automation, work that has driven measurable reductions in regression cycle time while increasing automation coverage and defect detection across large-scale enterprise implementations. He is a member of IEEE, ACM and AST.

I am an award winning highly quantitative Product Development Engineer who specializes in transforming raw silicon characterization data into predictable, high-yield products ready for mass production, with direct experience on cutting-edge 3nm and 2nm processes crucial for next-generation AI and ML hardware. My expertise is rooted in applying Statistical Design of Experiments (DOE) and advanced methodologies like Six Sigma directly to post-silicon issues. I leverage deep data analysis to quickly pinpoint and eliminate root causes of complex parametric and functional failures within System-on-Chip (SoC) architectures. Notably, I personally conceptualized and implemented the entire Yield Management System for ARM, a multi-billion dollar entity, delivering a mission-critical infrastructure solution at virtually zero dollar cost. This rigorous, data-driven approach is key to achieving robust product quality and accelerating the time-to-market for every new silicon generation. I was also as named a Thinkers360 Top 25 Global Thought Leader and Influencer in the "Engineering" category and a Top 50 Global Thought Leader and Influencer in the "Future of Work" category for 2025.

As a Product Manager at Featured, I work with a team of developers and leadership to create and improve a Q&A platform that connects subject matter experts with top publishers. Our goal is to provide exposure for experts and content for publishers, creating a win-win situation for both parties. I have a BSBA in Marketing from the University of Arizona Eller College of Management, where I was involved in various extracurricular and internship activities, such as AdCats Consulting Club, Markitors SEO Agency, and Each Brain Matters Non-Profit Foundation. I have developed skills in customer relationship management, partnership marketing, and product management, which I apply to my current role and projects. I am passionate about creating engaging and informative content that benefits both experts and publishers, and I am always eager to learn from others and explore new opportunities.

Nurlan is a Content Strategist at Aqua Cloud, where he drives brand growth through data-led content sprints and SEO-focused strategies. He collaborates cross-functionally to create high-performing content, leveraging AI-powered design tools and performance analytics to ensure every piece is both engaging and impactful.

Narasimha Chaitanya Samineni is an AI-driven data quality and compliance engineer with 15+ years of experience designing large-scale, regulated data platforms in financial services. His work spans privacy-preserving data engineering, automated regulatory validation (CCAR/IFRS9), and AI-enabled controls for cloud-based financial systems managing trillions in assets. He frequently serves as a peer reviewer, industry judge, and conference speaker on applied AI in regulated environments.

AI Quality Analyst and Editor who started her career as a tech writer before expanding into AI testing and quality assurance. She evaluates how AI systems perform across ethics, accuracy, safety, and user experience, currently testing AI tools and products for the AI companion platform Intimeros.

Mobile QA and Engineering leader with 15+ years of experience delivering high-quality iOS and Android releases in fast-paced, global product organizations. I specialize in modernizing QA practices, strengthening release governance, and building automation-first teams to ensure stable, predictable mobile experiences. At Tinder, I led a hybrid QA team, scaled automation from 0% to 30%, and reduced production hotfixes by 70% while enabling weekly releases. At Ring (Amazon), I improved automation coverage to 40% and delivered complex IoT and security features, including 2FA, passwordless login, and end-to-end video encryption. Known for calm, collaborative leadership, I focus on operational excellence, scalable quality, and building cross-functional alignment. Technical expertise includes Appium, Selenium, Playwright, Java, TypeScript, AWS, CI/CD, and mobile/API test automation.

Kanika Vatsyayan, Vice-President – Delivery and Operations at BugRaptors, brings over 10 years of IT experience, leading quality assurance and control strategies for client engagements. Kanika is proficient in agile testing practices, including automation test planning, test documentation, requirement analysis, and test case execution. Kanika is passionate about exploring cutting-edge technologies to optimize business models. She actively contributes to the testing community through her informative blog posts on automation and manual testing.

Rohan Parmar is a software engineer at Mecka AI, where he works on data quality, evaluation, and reliability systems for physical AI. He previously co-founded Docula, a bootstrapped medical-AI company acquired by Mecka in 2026. His work focuses on the infrastructure required to move AI from impressive demonstrations into dependable real-world systems: trustworthy training data, failure analysis, model evaluation, provenance, long-horizon robot memory, and human-in-the-loop learning. He also researches how multimodal human signals—including egocentric video, gaze, and portable EEG—could help AI systems learn intent, uncertainty, surprise, and correction. Rohan can comment on physical AI, robotics training data, model reliability, data contamination, evaluation systems, persistent memory for robots, brain–computer interfaces, AI infrastructure, medical AI, and the practical challenges of building and deploying production AI products. His perspective combines hands-on engineering with experience founding and selling an AI company.

Ankit Kumar Honey is a Senior Engineering Manager at GitHub (Microsoft), where he leads the Dependabot team within the Supply Chain Security organization. His team builds and operates the most widely adopted automated dependency security platform in the world - monitoring over 20 million repositories across 30+ package ecosystems and serving 180+ million developers globally. As the Directly Responsible Individual (DRI) for Dependabot, Ankit led the architectural migration of the platform from AWS to GitHub Actions - a system processing 40million+ jobs per month across 20+ million repositories - with zero user disruption. This migration eliminated huge cost per year in infrastructure and unlocked critical capabilities including self-hosted runner support and private network integration, enabling government and high-compliance organizations to adopt automated dependency security within their sovereign environments. Dependabot is actively used by U.S. federal agencies including CISA, NASA, NIH, the Department of Defense, and the General Services Administration, as well as UK government entities including the Ministry of Justice and the Government Digital Service (GOV.UK). With over 17 years of progressive engineering leadership across Amazon Web Services, Verizon, Toshiba, and Wipro, Ankit specializes in building large-scale security automation systems at the intersection of AI and software supply chain defense. He is currently pursuing a Master's degree in Data Science at Harvard University Extension School with a focus on artificial intelligence. Ankit is a published author in the Times of India on AI-driven software protection, co-authored the Bazel project's official blog post on Dependabot ecosystem expansion, and has spoken at Microsoft Reactor on AI agents and vulnerability remediation. He has been invited to appear on the CyberWire Daily podcast to discuss closing the gap between vulnerability detection and remediation at global scale.

👋 Hi, I'm a software engineer with over a decade of experience building thoughtful, maintainable software. I currently work at a startup - Featured.com, where I enjoy tackling complex challenges and contributing to products that move fast but are built to last. Before Featured, I worked at a multinational investment bank, where I learned the value of stability, scale, and clear-thinking under pressure. I take pride in anticipating problems early, finding practical solutions, and writing code that’s easy to live with long-term. I'm also quick to pick up new tools and ideas—something I find essential in today’s ever-evolving tech landscape.

I’m an AEO (Answer Engine Optimization) expert specializing in optimizing content for AI-driven search platforms and large language models. I focus on improving brand visibility across search engines and AI tools by combining technical SEO, structured data, and intent-driven content strategies to drive high-quality organic traffic and leads.

Naga Santhosh Reddy Vootukuri, a seasoned professional with over 17+ years working at Microsoft, reflects on his journey from India to the USA. Graduating from Sreenidhi Institute of Science and Technology in 2008, he now serves as a Principal Software Engineering Manager for Azure SQL. His role involves leading his team through software development cycles, ensuring successful product launches. Currently, Naga focuses on a significant initiative in Azure SQL Deployment, emphasizing high availability for SQL customers during feature rollouts. Previously, he managed Master Data Services (MDS) within SQL Server, gaining community connections and contributing actively to Microsoft forums. Currently his focus is mainly on AI LLM's and he shares his knowledge through detailed articles. Aside from technical responsibilities, Naga engages in Microsoft hackathons as judge and mentors junior engineers, finding fulfillment in guiding their career paths. He also champions diversity and inclusion, advocating for equality within the tech industry. Naga sees himself not only as a technical leader but also as a catalyst for positive change at Microsoft. He was featured on several media articles including yahoo, Aol, MSN, Business insider, jotforms, informationweek to name a few.

A SaaS SEO & LLM Growth Expert with 5+ years of experience helping startups and software companies scale organic traffic, improve search visibility, and drive high-intent leads through modern SEO strategies. Spent over 3.5 years at Simplified, contributing to major organic growth by increasing domain authority, ranking competitive AI-focused keywords such as AI Writer and AI Presentation Maker, and scaling website traffic from 0 to 100K+ through content strategy, technical SEO, and link building. Specializes in SEO for the new era of AI search including LLM SEO, Answer Engine Optimization (AEO), and discoverability across platforms like Google SGE, ChatGPT, and other AI-powered answer engines. Also experienced in performance marketing and Google Ads, supporting businesses with a balanced approach of paid acquisition and long-term organic growth. Focused on building sustainable, search-driven growth engines that deliver measurable results for SaaS, AI-first, and high-growth digital businesses. Areas of Expertise: SaaS SEO • LLM SEO • Organic Growth • Keyword Strategy • Content Marketing • Technical SEO • Link Building • Google Ads • AI Search Optimization Always open to collaborating with founders, marketers, and teams looking to scale through search-led growth.

Karthikeyan Ramdass a seasoned cybersecurity professional with over 18 years of experience securing mission-critical systems for leading Fortune 500 companies across industries including aviation, finance, automotive, and technology. I have played a pivotal role in protecting organizations such as Southwest Airlines, Wells Fargo, Morgan Stanley, Toyota Motors North America, AIG, Cognizant, Salesforce, and Deluxe Corporation. Specializing in application security, vulnerability management, secure architecture, and supply chain defense, led the design and implementation of enterprise-scale security frameworks, CI/CD pipelines, and advanced security testing solutions. Extensive experience in SAST, DAST, SCA, zero-day vulnerability management, and penetration testing, ensuring compliance with global standards such as NIST CSF, PCI DSS, and OWASP Top 10.

Sandeep Kumar Bomthapalli is an automotive functional safety expert specializing in the safety of AI-driven vehicles and the semiconductor chips that power them. He is one of a small number of professionals certified in both ISO 26262 and the newly published ISO 8800 — the first international standard specifically addressing AI safety for road vehicles. Expertise: Autonomous vehicle safety, AI safety standards, ISO 8800, ISO 26262, automotive semiconductors, self-driving car technology, edge AI in vehicles

Anwar Khan is a Senior Staff Software Engineer in Enterprise AI at John Deere, where he designs and secures production-grade AI systems that run on real industrial and operational data. With more than 16 years in software and AI, he specializes in agentic AI and multi-agent orchestration, large language model and retrieval-augmented generation (RAG) systems, AI and tool-server security (including the Model Context Protocol), MLOps and AI evaluation and observability, cloud architecture, and large-scale data platforms. He is known for moving AI from pilot to dependable production, and for the view that the quality ceiling of any AI system is set by how the data is prepared, not by which model is chosen. He can speak to why enterprise AI works in a demo but breaks in production, why security for AI agents that touch real systems is still an afterthought, and how organizations can adopt AI responsibly and at scale. Anwar holds AWS Solutions Architect Professional and DevOps Engineer Professional certifications, has authored peer-reviewed publications, writes and speaks on enterprise AI, and serves as a technical reviewer for industry publications. He is available for expert commentary on artificial intelligence, agentic AI, AI security, generative AI, and enterprise technology.