resume

Jay Kaneriya

AI-First Full Stack Engineer | Tech Lead

kaneriyajay3@gmail.com · +91-8487099580 · Ahmedabad, India · linkedin.com/in/kaneriya-jay · github.com/jayk1106

Summary

Full Stack Engineer with 4+ years shipping production systems end-to-end and a track record of taking products from zero to scaled platforms. Founding engineer turned Tech Lead, now working on AI-native products with LLMs, RAG, and agentic workflows. Looking to join an AI-first team building real products.

Core Skills

Programming Languages: TypeScript, JavaScript, Python

Backend: Express, FastAPI, REST APIs, WebSockets, Event-Driven Architecture, Microservices, Redis (caching, pub/sub, queues), PostgreSQL (schema design, query optimization, indexing), CICD Pipeline, Docker

Frontend: React.js, Next.js, modern component architecture, real-time UIs

AI Stack: LLM application development, Retrieval-Augmented Generation (RAG), LangChain, LangGraph, Google ADK

Architecture & Practices: API design, system design, caching strategy, database optimization, code review, technical planning, agile delivery

Leadership: Tech Lead for 3–6 engineers, sprint planning, project management, cross-functional collaboration with design, product, and QA

Experience

Tech Lead & Project ManagerHind SocialJan 2024 – Jan 2026
Ahmedabad, India
Promoted from Backend Engineer → Tech Lead & Project Manager
  • Took the product from a blank slate to a multi-module platform, designing the database schema, core APIs, and foundation services that every feature has been built on top of since.
  • Architected and shipped major modules end-to-end — Social Feed, Events, Library, and Chat — owning database design, API contracts, real-time behavior, and integration with the frontend.
  • Built an AI-driven recommendation system for the Social Feed that personalizes content per user based on engagement signals and content embeddings, replacing the original chronological feed.
  • Designed and shipped an AI-based content moderation pipeline that auto-flags and routes user-generated content (text and media), removing a manual moderation bottleneck.
  • Optimized hot-path APIs with Redis caching, query tuning, and cutting redundant database load on the highest-traffic endpoints.
  • Built a full white-labeling system allowing the product to be re-skinned per tenant — theming, branding, and configurable feature flags — without code forks.
  • Designed a chat store / messaging layer with real-time delivery, message persistence, and read state — including the data model and the React-side state management.
  • Promoted to Tech Lead and later took on Project Manager responsibilities for a team of 3–6 engineers: scoping work, breaking down epics, running sprints, reviewing PRs, mentoring juniors, and reporting progress to product and leadership — while continuing to ship features hands-on.

Stack: Node.js, TypeScript, PostgreSQL, Redis, Express, Next.js, LLM APIs

Full Stack EngineerTerminal TrendsJan 2022 – Sep 2023
Ahmedabad, India
  • Owned client-facing scoping for multiple products — converting unclear requirements into deliverable specs, estimating effort, and shipping features that matched stakeholder expectations on first delivery.
  • Built Forwarder Match-Making platform end-to-end as a full stack engineer — designing data models, APIs, and the React frontend that connected forwarders with relevant opportunities.
  • Developed ERP modules in React.js for an enterprise client — building dashboards, data-heavy tables, and forms tied to an API integration.

Stack: React.js, Node.js, PostgreSQL, REST APIs

Independent Full Stack EngineerFreelanceOct 2023 – Dec 2023
Remote
  • Integrated payments and subscription billing into an existing platform — including plan management, recurring billing flows, webhooks, and edge cases like upgrades, downgrades, and failed payments.
  • Built small single-page applications end-to-end, from setup to delivery.

Selected Projects

ProcuForge — Autonomous Procurement Multi-Agent System
  • End-to-end autonomous procurement platform where two independently deployed multi-agent systems negotiate, decide, and execute purchase workflows over the A2A protocol — built on Google ADK and Vertex AI Agent Engine.
  • Developed the full stack — FastAPI + WebSocket backend, Next.js UI, Firestore audit trail, and Cloud Run / Vertex AI Agent Engine deployment — with human-in-the-loop approval gates for PO, GRN, and completion.

Stack: Python, Google ADK, Vertex AI Agent Engine, A2A Protocol, FastAPI, Next.js 15, Firestore, Cloud Run

Education

B.E. in Information TechnologyGovernment Engineering College, Modasa (CGPA - 8.63)
2018 - 2022

Additional

  • Open to remote and Ahmedabad-based opportunities
  • Interested specifically in AI-first product companies building agentic systems, AI-native SaaS, or LLM-powered developer/consumer tools