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SMRev. 2026.10

Drawing set · Head of Product · Technology Leader

Designing AI systems from first sketch to 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.

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

Fig. 0 — How ideas become systemsNot to scale

Input

Discovery

Input

PRDs

Input

15+ PoCs

Product + Eng

SM

Production

Evaluation

Production

Screening

Production

Interview

Shivam Mishra

Drawn by: Shivam Mishra
Location: Bengaluru, India
Discipline: Product · Architecture · Applied AI

Specification

Leadership, specified.

Spec 01

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

Spec 02

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

Spec 03

Enterprise delivery

Turning demos into rollouts, and rollouts into adoption.

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

Spec 04

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

Series A · Production systems

Three drawings, three systems.

Fig. 1 — Capability flow

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

Skills evaluation for enterprise hiring teams: coding and data-science tests, source-code verification, remote proctoring, and analytics across a 500+ skill library.

Title
Enterprise Skills Assessment Platform
My role
Product and technology leadership — discovery, prioritisation, architecture direction, release planning, rollout.
Status / layer
Production · Evaluation
Sheet
A-01

Fig. 2 — Capability flow

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

A recruiter-facing assistant combining embedding search and LLM ranking for JD–CV matching, context-aware question generation, and structured candidate reports.

Title
AI-Assisted Candidate Screening
My role
Built the RAG-based assistant and deployed it with enterprise clients.
Status / layer
Production · Screening
Sheet
A-02

Fig. 3 — Capability flow

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

An agentic interview system running multi-turn conversations with dynamic follow-ups, live coding support, identity controls, and LLM-generated insights for reviewers.

Title
Conversational Interviewing System
My role
Architected the agentic interview flow and led productisation.
Status / layer
Production · Interview
Sheet
A-03

Series B · Architecture

Section through the stack.

  1. L5ExperienceRecruiter assistant · Assessments · Conversational interviews · Reporting [Product surfaces]
  2. L4OrchestrationAgentic workflows · LLM orchestration · Multi-turn flows [LangChain · Agents]
  3. L3IntelligenceLLMs · NLP · Prompt engineering · Classification [OpenAI APIs · Hugging Face]
  4. L2Retrieval & dataEmbeddings · Vector search · Résumé parsing · Analytics [PostgreSQL · SQL]
  5. L1PlatformMicroservices · REST APIs · Containers · Serverless [AWS · Docker]

Series C · Journey

Fourteen years, to scale.

  1. 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.

  2. Jul 2017 — Oct 2018

    Big Data & AI Consultant

    Paness IIHT · Cameroon

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

  3. Apr 2014 — Jul 2017

    Technical Manager

    ASIT

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

  4. Aug 2013 — Mar 2014

    Independent Developer & Trainer

    Self-employed

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

  5. Aug 2012 — Aug 2013

    Technical Trainer

    NIIT

    Technical training for freshers and working professionals.

General notes

Outcomes on record.

  1. 1

    PoC to production

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

  2. 2

    AI-native platform

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

  3. 3

    Scaled an operation

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

  4. 4

    Started a division

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

Series D · Parts list

15+ proofs of concept.

Selected areas behind them. Status reflects how far each area went.

ItemDescriptionAreaStatus
001Résumé intelligenceStructured extraction from unstructured résumés.Document AIProduction
002Semantic JD–CV matchingEmbeddings and vector search over role and candidate context.RetrievalProduction
003LLM ranking and shortlist reasoningRanking candidates with explainable reasoning.LLMsProduction
004Context-aware question generationTechnical questions grounded in the role and the candidate.GenerationProduction
005Structured candidate reportsRecruiter-ready summaries from screening signals.GenerationProduction
006Source-code analysis and evaluationEvaluating submitted code beyond pass/fail tests.Code AIProduction
007Video analytics for assessmentsProctoring signals that support human review.VisionProduction
008Agentic interview orchestrationMulti-turn flows with adaptive follow-ups.AgentsProduction
009Written and spoken answer evaluationSpeech-to-text combined with LLM evaluation.Speech + LLMsDeveloped
010Real-time voice turn latencyHow turn-taking and latency shape a voice interview.VoiceResearch
011Enterprise chatbotsDelivered for consulting clients, 2017–18.Conversational AIClient delivery
012Data mining and decision supportAnalytics-led business support for clients.AnalyticsClient delivery

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

LinkedIn, February 2026