01 — Brief
I build AI products that hold up in real workflows. 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.
- 13+
- Years across technology and product
- 7+
- Production AI systems delivered
- 15+
- Proofs of concept and R&D
- 2019
- Leading product and engineering since
02 — Mandate
What I’m accountable for.
- 1
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
- 2
Architecture
Direction for AI systems that have to survive production load.
Architecture direction · RAG pipelines and LLM orchestration · Agent-based automation · Cloud microservices on AWS
- 3
Enterprise delivery
Turning demos into rollouts, and rollouts into adoption.
Release planning · Requirement workshops and demos · Client-facing rollout · Escalation handling
- 4
Teams
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
03 — Case files
Three systems in production.
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.
Flow
- 01Skill library
- 02Candidate attempt
- 03Proctoring signals
- 04Code verification
- 05Analytics
Capabilities
500+ skill libraryCoding & data-science testsSource-code verificationRemote proctoringHiring analytics
04 — Architecture
Across the stack.
- Experience
- Recruiter assistant · Assessments · Conversational interviews · Reporting
- Product surfaces
- Orchestration
- Agentic workflows · LLM orchestration · Multi-turn flows
- LangChain · Agents
- Intelligence
- LLMs · NLP · Prompt engineering · Classification
- OpenAI APIs · Hugging Face
- Retrieval & data
- Embeddings · Vector search · Résumé parsing · Analytics
- PostgreSQL · SQL
- Platform
- Microservices · REST APIs · Containers · Serverless
- AWS · Docker
05 — Record
Career record.
Apr 2019 — Present
Product & engineering leadership · Head of Product
Otomeyt AI · Bengaluru
AI hiring technology. End-to-end product thinking with hands-on AI system design.
- — Led productisation of AI across résumé parsing, NLP, video analytics, and code evaluation.
- — Delivered 7+ production AI systems and 15+ proofs of concept, converting several into enterprise-scale features.
- — Helped build and scale the India operation with leadership.
Jul 2017 — Oct 2018
Big Data & AI Consultant
Paness IIHT · Cameroon
AI/ML consulting: chatbots, data mining, and analytics-led business support for clients.
- — Translated business requirements into implementable technical solutions.
- — Trained junior analysts; supported client delivery.
Apr 2014 — Jul 2017
Technical Manager
ASIT
Helped initiate a software-development division and managed delivery of new initiatives.
- — Defined design and functional scope for a job-portal product.
- — Trained employees and freshers on current technologies.
Aug 2013 — Mar 2014
Independent Developer & Trainer
Self-employed
Built college-level software projects and trained students on development practices.
Aug 2012 — Aug 2013
Technical Trainer
NIIT
Technical training for freshers and working professionals.
Education · B.Com. (Hons.) in Accounting, LNT College
06 — Outcomes
On the record.
PoC to production
Converted multiple proofs of concept into enterprise-scale features used in high-volume hiring workflows.
AI-native platform
Embedded agentic workflows and LLM decision layers across screening, assessments, and interviews.
Scaled an operation
Helped build and scale the India operation, partnering on product direction and execution priorities.
Started a division
Helped initiate a software-development division and delivered its first initiatives.
07 — Research file
15+ proofs of concept.
Selected areas. Hover or focus a status for what it means.
- R-01 · Document AI
Résumé intelligence
Structured extraction from unstructured résumés.
- R-02 · Retrieval
Semantic JD–CV matching
Embeddings and vector search over role and candidate context.
- R-03 · LLMs
LLM ranking and shortlist reasoning
Ranking candidates with explainable reasoning.
- R-04 · Generation
Context-aware question generation
Technical questions grounded in the role and the candidate.
- R-05 · Generation
Structured candidate reports
Recruiter-ready summaries from screening signals.
- R-06 · Code AI
Source-code analysis and evaluation
Evaluating submitted code beyond pass/fail tests.
- R-07 · Vision
Video analytics for assessments
Proctoring signals that support human review.
- R-08 · Agents
Agentic interview orchestration
Multi-turn flows with adaptive follow-ups.
- R-09 · Speech + LLMs
Written and spoken answer evaluation
Speech-to-text combined with LLM evaluation.
- R-10 · Voice
Real-time voice turn latency
How turn-taking and latency shape a voice interview.
- R-11 · Conversational AI
Enterprise chatbots
Delivered for consulting clients, 2017–18.
- R-12 · Analytics
Data mining and decision support
Analytics-led business support for clients.
08 — Perspective
“Accuracy alone doesn’t drive adoption. Workflow fit does.”
- Accuracy alone doesn’t drive adoption. Workflow fit does.Feb 2026 ↗
- AI will change things in ways people don’t expect.Mar 2026 ↗
- I asked AI the question everyone is quietly thinking.Sep 2026 ↗
© 2026 Shivam Mishra · Titles are descriptive; employer-built systems belong to their employers.