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Shivam MishraContact

Head of Product · Technology Leader

Product. Engineering. Applied AI.

Product and technology leader working across strategy, architecture, and applied AI — taking ideas from first experiment to enterprise-scale production.

See the systems LinkedIn
13+
Years across technology and product
7+
Production AI systems delivered
15+
Proofs of concept and R&D
2019
Leading product and engineering since

Leadership that spans the whole stack.

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

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

Enterprise delivery

Turning demos into rollouts, and rollouts into adoption.

Release planning · Requirement workshops and demos · Client-facing rollout · Escalation handling

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

Production systems

Three systems, stacked.

01 / 03 · Evaluation● Production

Enterprise Skills Assessment Platform

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.

  1. 01Skill library
  2. 02Candidate attempt
  3. 03Proctoring signals
  4. 04Code verification
  5. 05Analytics
02 / 03 · Screening● Production

AI-Assisted Candidate Screening

A 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.

  1. 01Résumés + JD
  2. 02Parsing
  3. 03Embedding search
  4. 04LLM ranking
  5. 05Questions + report
03 / 03 · Interview● Production

Conversational Interviewing System

An 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.

  1. 01Candidate answer
  2. 02Agentic interviewer
  3. 03Follow-up or code task
  4. 04Signals for review
  5. 05Reviewer insights

Every layer, one point of view.

01ExperienceRecruiter assistant · Assessments · Conversational interviews · ReportingProduct surfaces
02OrchestrationAgentic workflows · LLM orchestration · Multi-turn flowsLangChainAgents
03IntelligenceLLMs · NLP · Prompt engineering · ClassificationOpenAI APIsHugging Face
04Retrieval & dataEmbeddings · Vector search · Résumé parsing · AnalyticsPostgreSQLSQL
05PlatformMicroservices · REST APIs · Containers · ServerlessAWSDocker

Fourteen years in five moves.

2019 — Now

Product & engineering leadership · Head of Product

Otomeyt AI · Bengaluru · Apr 2019 — Present

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.

2017 — 2018

Big Data & AI Consultant

Paness IIHT · Cameroon · Jul 2017 — Oct 2018

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.

2014 — 2017

Technical Manager

ASIT · Apr 2014 — Jul 2017

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.

2013 — 2014

Independent Developer & Trainer

Self-employed · Aug 2013 — Mar 2014

Built college-level software projects and trained students on development practices.

2012 — 2013

Technical Trainer

NIIT · Aug 2012 — Aug 2013

Technical training for freshers and working professionals.

Milestones.

01

PoC to production

Converted multiple proofs of concept into enterprise-scale features used in high-volume hiring workflows.

02

AI-native platform

Embedded agentic workflows and LLM decision layers across screening, assessments, and interviews.

03

Scaled an operation

Helped build and scale the India operation, partnering on product direction and execution priorities.

04

Started a division

Helped initiate a software-development division and delivered its first initiatives.

15+ proofs of concept.

Areas behind the proofs of concept. Several became production capabilities.

  • Document AIProduction

    Résumé intelligence

    Structured extraction from unstructured résumés.

  • RetrievalProduction

    Semantic JD–CV matching

    Embeddings and vector search over role and candidate context.

  • LLMsProduction

    LLM ranking and shortlist reasoning

    Ranking candidates with explainable reasoning.

  • GenerationProduction

    Context-aware question generation

    Technical questions grounded in the role and the candidate.

  • GenerationProduction

    Structured candidate reports

    Recruiter-ready summaries from screening signals.

  • Code AIProduction

    Source-code analysis and evaluation

    Evaluating submitted code beyond pass/fail tests.

  • VisionProduction

    Video analytics for assessments

    Proctoring signals that support human review.

  • AgentsProduction

    Agentic interview orchestration

    Multi-turn flows with adaptive follow-ups.

  • Speech + LLMsDeveloped

    Written and spoken answer evaluation

    Speech-to-text combined with LLM evaluation.

  • VoiceResearch

    Real-time voice turn latency

    How turn-taking and latency shape a voice interview.

  • Conversational AIClient delivery

    Enterprise chatbots

    Delivered for consulting clients, 2017–18.

  • AnalyticsClient delivery

    Data mining and decision support

    Analytics-led business support for clients.

“Accuracy alone doesn’t drive adoption. Workflow fit does.”
Build for real life. Not just the demo room. — LinkedIn, February 2026

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© 2026 Shivam Mishra · Titles are descriptive; employer-built systems belong to their employers.