Yash Sharma

Product Manager

Greater Delhi, Delhi, India2 yrs experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in deploying LLM products in real-world applications.
Strong experience in forward-deployed engineering with government stakeholders.
Proficient in full-stack development with a focus on AI solutions.

Stackforce AI infers this person is a Fullstack AI Engineer specializing in real-world applications and government projects.

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Skills

Core Skills

PythonFastapiMern StackReact.js

Other Skills

Next.jsLangGraphLangChainMCPOpenAIPostgreSQLAWSMongoDBExpressReactNode.jsTailwind CSSFlutterRetrieval-Augmented Generation (RAG)shadcn

About

I'm an Applied AI engineer who ships LLM products into the real world — agents, RAG systems, and the full-stack apps around them — and stays close to the people actually using them. Most "AI engineers" stop at a demo. My background is forward-deployed: I've worked on-site with government and enterprise stakeholders, turned vague requirements into working software, and owned it from prototype to production. What I build: → Autonomous & multi-agent systems with LangGraph, LangChain, and MCP → RAG pipelines over vector DBs (Pinecone, Qdrant, pgvector) with evals to keep them honest → LLM fine-tuning, prompt optimization, and tool-use orchestration → FastAPI / Next.js backends that put models in front of real users Stack: Python, FastAPI, Next.js, TypeScript, PostgreSQL, AWS. Strong CS fundamentals — DSA and systems — from my B.Tech at NSUT, Delhi. Open to Forward Deployed & Applied AI roles — remote, or US/EU-timezone contracts. 🔗 GitHub: github.com/yash558 · Portfolio: yashsharma24.vercel.app

Experience

2 yrs

Total Experience

8 mos

Average Tenure

7 mos

Current Experience

Flamboyant technologies

AI Full Stack Engineer

Nov 2025 – Present · 7 mos · Gurugram · On-site

Building production AI features end-to-end — from the LLM/agent backend to the Next.js interface users actually touch.
Design and ship LLM-powered features, integrating models and agent workflows (LangGraph, MCP) into the product.
Build FastAPI services that expose LLM tools and connect them to a Next.js frontend.
Own features across the full stack — model integration, backend, and UI — turning ambiguous product ideas into shipped functionality.
Stack: Python, FastAPI, Next.js, LangGraph, LangChain, MCP, OpenAI, PostgreSQL, AWS.

PythonFastAPINext.jsLangGraphLangChainMCP+3

Dreamcare developers

Software Engineer

Nov 2024 – Nov 2025 · 1 yr · Pune District · Remote

Forward-deployed engineer on citizen-facing digital policing platforms rolled out across multiple Maharashtra districts (Thane Rural & City, Pune Rural, Konkan Range, Kolhapur).
Worked directly with senior IPS officials to translate ambiguous, high-stakes requirements into a secure, production digital platform.
Delivered citizen-accessibility and digital-safety features for a real-world, multi-district deployment.
Owned implementation on the ground — from requirements to rollout — the core of forward-deployed engineering.
Stack: MERN (MongoDB, Express, React, Node.js).

MERN StackMongoDBExpressReactNode.js

Circlepe

Software Developer

Apr 2024 – May 2024 · 1 mo · Gurugram, Haryana, India · On-site

Spearheaded the development of the CirclePe company website from scratch, including two user-specific pages tailored for tenants and landlords, improving user navigation and engagement.
Designed and implemented a chatbot to efficiently collect lead data and streamline user onboarding.
Engineered a complete landlord journey to collect comprehensive personal and property details, featuring an advanced rent estimation tool to help landlords evaluate rental value accurately.
Developed a rent agreement generation system using Node.js and PDFMake, enabling automated PDF creation and successfully deployed the service on AWS.

React.jsNode.js

Techlane ai

Software Engineer Intern

Jul 2023 – Dec 2023 · 5 mos · Delhi, India · On-site

Developed lify.ai, an AI-powered platform that transforms long-form YouTube study videos into concise summaries, Q&A sets, and auto-generated notes using advanced machine learning models. Built a seamless web interface with React.js and Tailwind CSS, and launched a companion mobile app using Flutter for cross-platform accessibility.
Engineered OPDSure, a scalable Health Insurance Platform with multi-user dashboards to manage claim settlements. Integrated robust admin capabilities for real-time updates of user information and claim statuses post-document verification, enhancing operational efficiency.

React.jsTailwind CSSFlutter