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Shivam MishraConnect

Head of Product · Technology Leader

AI products, built for real work.

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

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Shivam Mishra

Bengaluru, India

Shivam Mishra

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

Strategy. Architecture. Delivery. Teams.

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. Real users. Enterprise scale.

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.

  1. Skill library
  2. Candidate attempt
  3. Proctoring signals
  4. Code verification
  5. Analytics

My role · Product and technology leadership — discovery, prioritisation, architecture direction, release planning, rollout.

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.

  1. Résumés + JD
  2. Parsing
  3. Embedding search
  4. LLM ranking
  5. Questions + report

My role · Built the RAG-based assistant and deployed it with enterprise clients.

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.

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

My role · Architected the agentic interview flow and led productisation.

Architecture

Designed across every layer.

The layers I design and make decisions across, from the cloud platform to the product surface.

Experience

Recruiter assistant · Assessments · Conversational interviews · Reporting

Product surfaces

Orchestration

Agentic workflows · LLM orchestration · Multi-turn flows

LangChainAgents

Intelligence

LLMs · NLP · Prompt engineering · Classification

OpenAI APIsHugging Face

Retrieval & data

Embeddings · Vector search · Résumé parsing · Analytics

PostgreSQLSQL

Platform

Microservices · REST APIs · Containers · Serverless

AWSDocker

PythonLLMsRAGAgentic AILangChainOpenAI APIsHugging FaceEmbeddingsVector searchNLPAWS LambdaECSEC2DockerMicroservicesREST APIsPostgreSQLPower BI
PythonLLMsRAGAgentic AILangChainOpenAI APIsHugging FaceEmbeddingsVector searchNLPAWS LambdaECSEC2DockerMicroservicesREST APIsPostgreSQLPower BI
PythonLLMsRAGAgentic AILangChainOpenAI APIsHugging FaceEmbeddingsVector searchNLPAWS LambdaECSEC2DockerMicroservicesREST APIsPostgreSQLPower BI
PythonLLMsRAGAgentic AILangChainOpenAI APIsHugging FaceEmbeddingsVector searchNLPAWS LambdaECSEC2DockerMicroservicesREST APIsPostgreSQLPower BI

Journey

From the training room to the product room.

  1. 2019 — Now

    Product & engineering leadership · Head of Product

    Otomeyt AI · Bengaluru

    AI hiring technology. End-to-end product thinking with hands-on AI system design.

  2. 2017 — 2018

    Big Data & AI Consultant

    Paness IIHT · Cameroon

    AI/ML consulting: chatbots, data mining, and analytics-led business support for clients.

  3. 2014 — 2017

    Technical Manager

    ASIT

    Helped initiate a software-development division and managed delivery of new initiatives.

  4. 2013 — 2014

    Independent Developer & Trainer

    Self-employed

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

  5. 2012 — 2013

    Technical Trainer

    NIIT

    Technical training for freshers and working professionals.

What it added up to.

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.

The lab

15+ proofs of concept.

A selection of the areas behind them. Many became production features; some stayed research.

“Accuracy alone doesn’t drive adoption. Workflow fit does.”

Build for real life. Not just the demo room. — LinkedIn, February 2026

Writing

Let’s talk.

Open to conversations with founders, boards, and technology teams building AI-native products.

Message on LinkedIn