YASH KHADSE / HYDERABAD, INDIAAI ENGINEER / FULL-STACK BUILDER

AI ENGINEER.FROM MODELTO PRODUCT.

LLM SYSTEMS/RAG/AGENTS/FULL STACK

THE THINKING BEHIND THE BUILD
CONTENTPROCESSKNOWLEDGE

Extract. Saved content becomes structured text.

SOCIAL BRAIN · CONCEPTUAL PIPELINE

I’m Yash. I build AI systems that connect models to the work they need to do — from grounded knowledge assistants to agents that act.

SCROLL TO EXPLORE ENGINEERING THE WHOLE SYSTEM
SELECTED WORKFOUR SYSTEMS / FOUR DIFFERENT CHALLENGES

Built beyond
the prototype.

From personal knowledge to enterprise workflows. A closer look at the systems, the decisions, and what came out of them.

ARTICLENOTEBOOKMARKKNOWLEDGE INDEXpgvector / hybrid searchGROUNDED ANSWER[1] [2] [3] sourcesEXTRACT → ANALYZE → EMBEDARCHITECTURE ILLUSTRATION
FREELANCE SERVICESWEB / APP / AI

What I can
build for you.

Web development

Fast, accessible web apps and marketing sites built with Next.js and React.

App development

Cross-platform mobile apps that share logic with the web, built with React Native and Expo.

AI automations

Automated workflows that connect LLMs to the tools and data you already use.

AI agents & engineering

RAG pipelines, agent orchestration, and voice assistants grounded in your own data.

DISCUSS A PROJECT
THE PERSON BEHIND THE SYSTEMSABOUT ME

An engineer.
Across the
whole stack.

I care about the distance between a model that works and a product people can use.

My work spans AI engineering, full-stack development, and cloud delivery. I completed a Programmer Analyst Trainee period at Cognizant, building and supporting AI/ML solutions for enterprise clients.

Before that, I built voice assistants at NyraAI, delivered AI-augmented applications, and led a six-member development team. The common thread: connect the model, data, and interface into a coherent system.

The full story, in one page
EDUCATION / 2022–2026

B.Tech, Computer Science & Engineering

Data Science · Malla Reddy Engineering College
Hyderabad · Nov 2022–Jul 2026

EXPERIENCE2023 — PRESENT

Learning by
shipping.

Enterprise delivery, early-stage products, and team leadership. Each role added another part of the system.

Mar 2026–Jun 2026

Cognizant

Programmer Analyst Trainee

Built and supported enterprise AI/ML pipelines and FastAPI inference services. Contributed to LLM and RAG accelerators, retrieval tuning, SQL optimization, and delivery quality.

Dec 2025–Feb 2026

NyraAI

AI Engineer

Built a production LLM voice assistant with RAG and agentic workflows, improving context accuracy by 35% and reducing hallucination rate by 40%. Implemented guardrails, monitoring, fallback strategies, and quality regressions.

Sep 2025–Nov 2025

Defence in Depth Solutions

Full Stack Developer

Developed AI-augmented enterprise applications, LLM-powered search, and form parsing. Delivered client-facing POCs, secure APIs, technical designs, and handover documentation.

Jul 2024–Aug 2025

Atharva Data Science Community

Technical Lead

Led delivery of 5+ MERN applications with AI/ML integrations and mentored a six-member development team. Improved MongoDB query and schema efficiency by 30% through data-model optimization.

Nov 2023–Feb 2024

Brutanix

Web Developer Intern

Reduced API latency by 15% and built 20+ reusable React/TypeScript components that improved frontend performance by 40%. Implemented JWT/OAuth authentication and secure API design.

CAPABILITIESMODEL → PRODUCT → PRODUCTION

The working toolkit.

AI systems

Retrieval, agents, and voice interfaces with evaluation built into delivery.

  • RAG pipelines
  • LangChain
  • LangGraph
  • CrewAI
  • RAGAS / DeepEval
  • Tool calling

Product engineering

The APIs and interfaces that turn a working model into a usable product.

  • Python
  • TypeScript
  • FastAPI
  • React
  • Next.js
  • React Native

Data & delivery

Searchable data, asynchronous jobs, and dependable deployment workflows.

  • PostgreSQL
  • Vector databases
  • Redis / BullMQ
  • Docker
  • AWS / GCP
  • CI/CD
LET’S CONNECTYOUR NEXT AI ENGINEER

Good problems.
Thoughtful builds.
Let’s talk.

Have an AI engineering role or a challenging technical problem in mind? I’d like to hear about it.

Say hello