Author: Navin Kabra
Navin Kabra
Role: Software Technology Professional | Educator | Entrepreneur | Author
Experience: 30+ Years in Software Technology (India & US)
Current Roles: Co-Founder & CTO, ReliScore.com | Visiting Professor of Practice, TrustLab (CSE Dept., IIT-Bombay) | Advisor, Innoviti | Advisory Committee, NIDHI-EIR-PEP & NIDHI-PRAYAS-PC (Govt. of India) | Mentor, GenWise | Creator, TheFutureIQ (YouTube Channel)
Education: Ph.D. in Computer Sciences, University of Wisconsin (1999) | B.Tech. in Computer Science, IIT-Bombay
Doctoral Advisor: David DeWitt
Patents: 18 US Patents | 2 European Patents | 1 Japanese Patent
Technical Interests: Highly Scalable Systems, Distributed & Fault-Tolerant Software, Text Search, Information Retrieval, Unstructured Data Analytics
Teaching Areas: AI, Generative AI, Cryptography, Game Theory, Blockchain, Critical Thinking
Publication: Contributor, ENTECH Magazine
Subject Expertise: Scalable Systems Design, Distributed Computing, Information Retrieval, AI/ML, GenAI, Cryptography, Blockchain, Critical Thinking, Skills-Based Hiring, Fintech, Startup Mentorship, and Technology Education.
Short Bio
Navin Kabra is a seasoned software technology professional with over 30 years of experience in the industry. He has a deep passion for teaching—whether it's high school students or seasoned professionals. Currently, he is the co-founder and CTO of ReliScore.com, a startup that helps companies filter job candidates by evaluating real, job-related skills. In addition, he is a visiting professor of practice at TrustLab, Computer Science and Engineering Department, IIT-Bombay. He also serves as an advisor for Innoviti, a fintech company in the payments processing space, and is part of the Advisory Committee for NIDHI-EIR-PEP and NIDHI-PRAYAS-PC—Government of India initiatives in the innovation and incubation space. Beyond this, he teaches high school students at GenWise, covering topics like AI, GenAI, cryptography, game theory, blockchain technologies, and critical thinking. He also runs TheFutureIQ, a YouTube channel where he explores these subjects further. Navin's career has spanned both large corporations and startups. He has worked in India and the US, experienced both a successful exit and a dotcom failure, contributed to product development as well as research, and written everything from consumer software to enterprise applications. Over the years, he has taken on roles as a developer, architect, and even a manager—though he didn't particularly enjoy the last one! He earned his Ph.D. in Computer Sciences in 1999 from the University of Wisconsin, where he worked with David DeWitt, and completed his B.Tech. in Computer Science from IIT-Bombay. He holds 18 US patents, 2 European patents, and 1 Japanese patent. His interests span highly scalable systems, distributed and fault-tolerant software, text search, information retrieval, and analyzing unstructured information.Extended Bio
Navin Kabra has spent three decades building software systems at every scale—from consumer applications used by millions to enterprise platforms that power critical business operations. But what defines him most is not the systems he has built, but his compulsion to teach others how to build them.He is currently Co-Founder and CTO of ReliScore.com, a startup tackling one of the most persistent problems in hiring: how to evaluate candidates based on actual job-related skills rather than credentials or self-reported expertise. The platform uses structured assessments to give employers a reliable signal about what candidates can actually do—a mission that combines his technical depth with his belief in meritocratic, evidence-based evaluation.He is also a Visiting Professor of Practice at TrustLab, in the Computer Science and Engineering Department at IIT-Bombay, where he brings real-world industry experience into the classroom. He serves as an advisor to Innoviti, a fintech company in the payments processing space, and is part of the Advisory Committee for NIDHI-EIR-PEP and NIDHI-PRAYAS-PC, both Government of India initiatives supporting innovation and incubation.His teaching extends well beyond the university. At GenWise, he teaches high school students about AI, GenAI, cryptography, game theory, blockchain technologies, and critical thinking—subjects that are typically reserved for graduate-level study but that he believes can be made accessible to younger learners with the right approach. He also runs TheFutureIQ, a YouTube channel where he explores these topics for a broader audience.His career has taken him from large corporations to startups, from India to the US, from research to product development. He has experienced both a successful exit and a dotcom failure, written consumer software and enterprise applications, and worked as a developer, architect, and manager (though he admits the last role was not his favorite). This breadth of experience gives him a rare ability to see the big picture—how technology, business, and people interact.His academic credentials are equally impressive. He earned his Ph.D. in Computer Sciences in 1999 from the University of Wisconsin, where he worked with the legendary David DeWitt, a Turing Award-level figure in database systems. Before that, he completed his B.Tech. in Computer Science from IIT-Bombay. His research contributions are recognized through 18 US patents, 2 European patents, and 1 Japanese patent, filed while working with three different companies.His technical interests center on highly scalable systems, distributed and fault-tolerant software, text search, information retrieval, and analyzing unstructured information—the foundational technologies that power everything from search engines to modern data platforms.He writes for the software engineer looking to understand scalable systems design, the student exploring AI and cryptography, the educator seeking fresh approaches to teaching complex topics, the startup founder navigating the challenges of building a technology company, and anyone who believes that the best way to learn is to teach.Primary Beats
- Scalable Systems Design & Distributed Computing: Architecting systems that handle millions of users without breaking; principles of fault tolerance, consistency, and performance at scale; lessons from three decades of building distributed software; the evolution from monolithic to microservice architectures.
- AI, GenAI & Emerging Technologies (Cryptography, Blockchain, Game Theory): Making complex technologies accessible to students and professionals; understanding the capabilities and limitations of generative AI; the mathematical foundations of cryptography and blockchain; applying game theory to technology design and strategy.
- Skills-Based Hiring & Talent Evaluation: Building systems that assess real job-related skills; moving beyond resumes and credentials to evidence-based evaluation; the technology and methodology behind ReliScore; the future of hiring in a skills-first economy.
- Technology Education & Critical Thinking: Teaching computer science at every level—from high school to graduate school; cultivating critical thinking skills alongside technical knowledge; the art of explaining complex ideas simply without losing accuracy; building curiosity and capability in the next generation of technologists.