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Shivam Mishra

Head of Product · Technology Leader · Bengaluru, India

Product. Engineering. Applied AI.

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

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

Leadership that spans the whole stack.

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.

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.

All work
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.

Read the overview: Enterprise Skills Assessment Platform
  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.

Read the overview: AI-Assisted Candidate Screening
  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.

Read the overview: Conversational Interviewing System
  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.

The layers I design across, from product surface to platform.

01

Experience

Recruiter assistant · Assessments · Conversational interviews · Reporting

Product surfaces
02

Orchestration

Agentic workflows · LLM orchestration · Multi-turn flows

LangChainAgents
03

Intelligence

LLMs · NLP · Prompt engineering · Classification

OpenAI APIsHugging Face
04

Retrieval & data

Embeddings · Vector search · Résumé parsing · Analytics

PostgreSQLSQL
05

Platform

Microservices · REST APIs · Containers · Serverless

AWSDocker

Fourteen years in five moves.

  1. 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.
  2. 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.
  3. 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.
  4. 2013 — 2014

    Independent Developer & Trainer

    Self-employed · Aug 2013 — Mar 2014

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

  5. 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.

  • 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

Recent writing on LinkedIn

Let’s build what ships.

I’m open to conversations with founders, technology leaders, and teams building AI-native products.

Message me on LinkedIn