Haranadh Gavara

WORK HISTORY

EDUCATION

SKILLS

ABOUT HARANADH GAVARA

I am a technology leader with experience across AI/ML, data science, big data, cloud, enterprise software, and product development.With an M.S.(Research) in Machine Learning from IIT Madras and a PGCBM from IIM Tiruchirappalli, I combine research depth, technical execution, and business perspective. This blend has shaped my work at the intersection of technology, product, and business outcomes. My background is further strengthened by research and innovation contributions, including an international conference publication and a patent in Singapore. I remain deeply interested in research and intend to continue contributing original work through publications and patents in the near future.My experience spans AI and machine learning, credit risk, fraud analytics, lending, payments, enterprise platforms, clinical and clinical trial data products, large-scale data systems, and startup environments where technology, execution, and business momentum are tightly connected. In recent years, my focus has been on building AI systems, data products, and governance-led operating models that help organisations move from experimentation to reliable adoption at scale.I am particularly interested in building trustworthy, outcome-oriented systems through better data design, semantics, ownership, and operational clarity. With strong enterprise architecture grounding, supported by TOGAF, and a disciplined delivery mindset shaped by PMP, I take a structured approach to designing and scaling systems that align technology with business goals, governance, and regulatory expectations.Across startups, I have held SVP, VP, Acting CTO, and Head of Product roles, building and leading teams and scaling product and technology capabilities through critical growth phases, helping create the business traction that supported a $12M raise at one company and a $6M raise at another.I also write the LinkedIn newsletter AI Systems & Outcomes, where I share perspectives on AI systems, data products, governance-led operating models, enterprise architecture, and the business outcomes they enable.I bring together analytical thinking, engineering execution, architectural judgment, and product perspective to solve complex problems and build systems that create measurable business value.