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Open to Software Engineer roles · Frontend & AI Systems · Pune / Remote

Hi, I'm Abhishek Yadav

Software Engineer building frontend platforms and AI-enabled product systems

I build high-performance React, Next.js, and TypeScript platforms across startups, consulting, and enterprise teams. I’m now extending that experience into AI-enabled systems: automated LLM publishing pipelines, RAG search experiences, AgentOps observability, and developer-facing automation.

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Experience

  1. Independent AI Product Systems

    Pune, India · Remote

    Nov 2025 – Present Current
    • Built the Daily AI Digest ecosystem: a live Next.js/React/TypeScript platform combining scheduled LLM publishing, RAG-based search, Redis-backed guardrails, and AgentOps observability.
    • Automated a success-only publishing workflow using cron runs, log parsing, GitHub commit automation, and Vercel CI/CD, keeping failed AI runs out of public content.
    • Designed AI-assisted engineering workflows using OpenAI Codex to speed up debugging, feature development, and iterative delivery.

  2. Lead Software Engineer · Globant

    Pune, India · Hybrid

    Jun 2022 – Oct 2025
    • Led frontend architecture and delivery for large-scale, multi-market automotive and entertainment web platforms using React, Next.js, TypeScript, SSR, and modern frontend delivery workflows.
    • Modernized key discovery, booking, profile, search, and experience journeys through a CSR-to-SSR migration covering ~70% of shared frontend components, improving internal Lighthouse and SEO scores.
    • Strengthened delivery quality and team execution through release workflows, QA checkpoints, dependency hygiene, mentoring for 3–7 engineers, and AI-assisted practices with GitHub Copilot and Claude Code.

  3. Frontend Engineer · HowNow (Early-stage SaaS startup)

    Mumbai, India · Hybrid

    Jun 2020 – May 2022
    • Owned end-to-end frontend delivery for the HowNow web platform and Chrome extension, from solution design and prototyping to production release.
    • Migrated static UI implementations into dynamic, configurable frontend systems with enterprise-specific theming, reducing change turnaround from weeks to under one day.
    • Built reusable React patterns integrated with Ruby on Rails services, improving maintainability, responsiveness, and frontend consistency while mentoring junior developers.

  4. IT Analyst · Tata Consultancy Services

    Mumbai, India · On-site

    Jun 2015 – Jun 2020
    • Led a small UI development team across multiple project deliveries, improving coordination, frontend quality, and reuse of shared components.
    • Built reusable React, JavaScript, HTML, LESS, and SASS components, utilities, and styling patterns integrated with REST APIs.
    • Translated business and UX requirements into production-ready frontend implementations while training and mentoring 24 trainees in web technologies.
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Featured Work

  • Daily AI Digest Ecosystem

    Live automated LLM publishing system with RAG search and AgentOps monitoring.

    Automated AI platform Live

    A live system that turns scheduled LLM runs into structured AI/tech digests, publishes only successful outputs through GitHub-triggered Vercel deployments, and routes failures into a separate AgentOps dashboard.

    Digest items
    340+
    AI runs tracked
    180+
    Source-linked RAG
    Yes
    Errors captured
    17
    Avg run duration
    2m20s
    • RAG search over historical digest content with source-linked answers
    • Redis-backed query validation and rate limiting
    • Success-only publishing path with separate failure observability

  • Automated Agentic SDLC

    Codex-only Python orchestrator for a deterministic SDLC state machine.

    Agentic engineering system

    A small Python orchestrator sequences codex exec invocations against role-based prompts, with a pure-function planner, gate-before-advance, and a bounded repair loop on DEV phase.

    • All state lives in one JSON file, and the entire run is replayable from it
    • Next-task selection is a pure function, so every run is fully deterministic from the state
    • Every phase transition is gated on docs, lint, build, and per-feature browser tests
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Core Skills

  • AI-Enabled Engineering

    • OpenAI Codex
    • Claude Code
    • GitHub Copilot
    • Agentic workflows
    • LLM pipelines
    • RAG systems
    • Embeddings
    • Vector retrieval
    • AgentOps observability
    • Local LLM tooling

  • Frontend Engineering

    • React
    • Next.js
    • TypeScript
    • JavaScript
    • Node.js
    • SSR
    • SSG
    • Redux
    • Zustand

  • Architecture & Systems

    • Frontend architecture
    • Component architecture
    • SSR migrations
    • CMS integrations
    • API-driven frontends
    • Multi-market platforms

  • Performance & Web Quality

    • Lighthouse
    • Core Web Vitals
    • SEO
    • Accessibility
    • WCAG
    • Responsive design
    • Asset optimization

  • Technical Leadership

    • Solution design
    • Code reviews
    • Mentoring
    • Release planning
    • Frontend standards

  • Testing & Delivery

    • Jest
    • React Testing Library
    • API verification
    • Vercel CI/CD
    • GitHub automation
    • Release workflows
    • Pre-production checkpoints
    • Dependency hygiene

  • Integrations

    • REST APIs
    • OAuth
    • JWT
    • Strapi
    • AEM / content APIs
    • Payment flows
    • Booking flows

  • Design Systems & Styling

    • CSS
    • SASS
    • Tailwind
    • shadcn/ui
    • Responsive UI
    • Theming systems
    • Component styling
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Education

  • Master of Science in Computer Science

    Birla College, University of Mumbai

    2017 – 2019

  • Bachelor of Science in Information Technology

    Birla College, University of Mumbai

    2012 – 2015