B2B SaaS and AI Product Manager shipping 0-to-1 platforms and AI agents under real-world compliance constraints (SOC2, ISO 27001, GDPR).
B2B SaaS and AI Product Manager with a proven track record of shipping enterprise platforms across legal tech, compliance automation, and payment infrastructure. Specialized in zero-to-one builds, AI agent workflows, and scaling platforms under strict enterprise compliance constraints.
upGrad in collaboration with Microsoft | Certification
Focused on foundational LLM concepts, agentic design patterns, and application integrations.
M S Ramaiah Institute of Technology | Aug 2015 - Jun 2019
Graduated with a GPA of 8.53. Specialized in engineering foundations, software development processes, and systems analysis.
Freelance | May 2025 - Present
StackBOX Services Pvt. Ltd. | Jul 2022 - Jan 2025
Algo Legal | Dec 2020 - Jun 2022
Decabits Software | Aug 2019 - Nov 2020
Structuring discovery across user interviews to validate product-market fit. Designing product scopes and go-to-market sequencing for early-stage AI startups to cut time-to-first-user.
Shipping platforms within highly regulated enterprise compliance frameworks. Closing control gaps and implementing privacy-compliant workflows to shorten B2B security sales cycles.
Building LLM-powered agentic workflows and fine-tuning pipelines. Designing structured evaluation loops to minimize hallucination rates and validate system outputs against domain benchmarks.
Designing flexible API-first platform models. Coordinating integrations with 100+ partner systems and shipping automation layers to reduce operational overhead for high-volume customers.
AI Agent
Problem: GDPR/privacy compliance constraints in production data prevented secure LLM fine-tuning.
Built: An agentic workflow using GPT + n8n for generating privacy-compliant synthetic datasets.
Outcome: Reduced data prep time by ~80% and enabled secure model training.
Chatbot / RAG
Problem: Internal knowledge lookup was slow, driving up customer support ticket volumes.
Built: A RAG-based support agent retrieving context-aware answers from internal documentation bases.
Outcome: Reduced ticket volume and accelerated cross-team internal knowledge retrieval.
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Open to Product Manager and AI/SaaS roles (India/US, remote or hybrid).