Product strategy
From customer discovery to a roadmap the business can commit to.
Customer and requirement discovery · BRDs and PRDs · Prioritisation and roadmap shaping · 0-to-1 product development
Head of Product · Technology Leader · Bengaluru, India
Product and technology leader working across strategy, architecture, and applied AI — taking ideas from first experiment to enterprise-scale production.
13+ years across software delivery, technical training, data and AI consulting, and product leadership. Since 2019 I have led product and engineering for AI hiring systems: skills assessments, candidate screening, and conversational interviews.
From customer discovery to a roadmap the business can commit to.
Customer and requirement discovery · BRDs and PRDs · Prioritisation and roadmap shaping · 0-to-1 product development
Direction for AI systems that have to survive production load.
Architecture direction · RAG pipelines and LLM orchestration · Agent-based automation · Cloud microservices on AWS
Turning demos into rollouts, and rollouts into adoption.
Release planning · Requirement workshops and demos · Client-facing rollout · Escalation handling
Building the people and operating rhythm behind the product.
Helped build and scale the India operation · Team building and mentoring · Delivery governance · Cross-functional coordination
Production systems
Skills evaluation for enterprise hiring teams: coding and data-science tests, source-code verification, remote proctoring, and analytics across a 500+ skill library.
My role — Product and technology leadership — discovery, prioritisation, architecture direction, release planning, rollout.
Read the overview: Enterprise Skills Assessment PlatformA recruiter-facing assistant combining embedding search and LLM ranking for JD–CV matching, context-aware question generation, and structured candidate reports.
My role — Built the RAG-based assistant and deployed it with enterprise clients.
Read the overview: AI-Assisted Candidate ScreeningAn agentic interview system running multi-turn conversations with dynamic follow-ups, live coding support, identity controls, and LLM-generated insights for reviewers.
My role — Architected the agentic interview flow and led productisation.
Read the overview: Conversational Interviewing SystemThe layers I design across, from product surface to platform.
Recruiter assistant · Assessments · Conversational interviews · Reporting
Product surfacesAgentic workflows · LLM orchestration · Multi-turn flows
LangChainAgentsLLMs · NLP · Prompt engineering · Classification
OpenAI APIsHugging FaceEmbeddings · Vector search · Résumé parsing · Analytics
PostgreSQLSQLMicroservices · REST APIs · Containers · Serverless
AWSDocker2019 — Now
2019 — Now
Otomeyt AI · Bengaluru · Apr 2019 — Present
AI hiring technology. End-to-end product thinking with hands-on AI system design.
2017 — 2018
2017 — 2018
Paness IIHT · Cameroon · Jul 2017 — Oct 2018
AI/ML consulting: chatbots, data mining, and analytics-led business support for clients.
2014 — 2017
2014 — 2017
ASIT · Apr 2014 — Jul 2017
Helped initiate a software-development division and managed delivery of new initiatives.
2013 — 2014
2013 — 2014
Self-employed · Aug 2013 — Mar 2014
Built college-level software projects and trained students on development practices.
2012 — 2013
2012 — 2013
NIIT · Aug 2012 — Aug 2013
Technical training for freshers and working professionals.
01
Converted multiple proofs of concept into enterprise-scale features used in high-volume hiring workflows.
02
Embedded agentic workflows and LLM decision layers across screening, assessments, and interviews.
03
Helped build and scale the India operation, partnering on product direction and execution priorities.
04
Helped initiate a software-development division and delivered its first initiatives.
Areas behind the proofs of concept. Several became production capabilities.
Structured extraction from unstructured résumés.
Embeddings and vector search over role and candidate context.
Ranking candidates with explainable reasoning.
Technical questions grounded in the role and the candidate.
Recruiter-ready summaries from screening signals.
Proctoring signals that support human review.
Multi-turn flows with adaptive follow-ups.
Speech-to-text combined with LLM evaluation.
How turn-taking and latency shape a voice interview.
Delivered for consulting clients, 2017–18.
Analytics-led business support for clients.
“Accuracy alone doesn’t drive adoption. Workflow fit does.”
I’m open to conversations with founders, technology leaders, and teams building AI-native products.
Message me on LinkedIn