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.
YASH KHADSE / HYDERABAD, INDIAAI ENGINEER / FULL-STACK BUILDER
AI ENGINEER.FROM MODELTO PRODUCT.
LLM SYSTEMS/RAG/AGENTS/FULL STACK
THE THINKING BEHIND THE BUILD
Extract. Saved content becomes structured text.
NUCEL · CONCEPTUAL PIPELINEI’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 WORKSIX SYSTEMS / SIX 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.
01 / FEATURED PROJECT LIVE PRODUCT
Nucel
A place for everything you save. A cross-platform knowledge base with an AI assistant grounded in your own sources.
NEXT.JS / REACT NATIVE / PGVECTORExplore the build
02 / Voice AI · Agentic guardrails · Production RAG
NyraAI
A production voice AI platform with low-latency speech synthesis, ChromaDB RAG retrieval, multi-model routing (OpenAI + Anthropic), and proactive safety guardrails.
Voice + RAGGuardrails · multi-model fallback
VIEW PROJECT 03 / Enterprise platform · Full-stack · Cloud infrastructure
NS4 Inc
High-performance digital platform and cloud infrastructure for an enterprise technology solutions firm, featuring Next.js edge rendering, microservices integration, and scalable cloud compute.
100/100Lighthouse score · Sub-second edge delivery
VIEW PROJECT 04 / Retrieval · Evaluation
Enterprise RAG
Answers grounded in a large document corpus. A retrieval system built around relevance, traceability, and continuous evaluation.
HybridRetrieval + cross-encoder re-ranking
VIEW PROJECT 05 / Agent orchestration · Automation
Agent Workflows
Coordinated agents for document-heavy workflows, with human approval gates and a clear view of system behavior.
Human-in-loopApproval gates · LangGraph + CrewAI
VIEW PROJECT 06 / Voice AI · Realtime systems
Voice & Memory
A realtime voice assistant with persistent memory and tools for calendar, CRM, and search.
RealtimeWhisper · GPT-4o · ElevenLabs
VIEW PROJECT 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.
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 development team. The common thread: connect the model, data, and interface into a coherent system.
The full story, in one pageEDUCATION / COMPLETED JUL 2026
B.Tech, Computer Science & Engineering
Data Science · Malla Reddy Engineering College
Hyderabad · Nov 2022–Jul 2026
EXPERIENCE2023 — 2026
Learning by
shipping.
Enterprise delivery, early-stage products, and team leadership. Each role added another part of the system.
Dec 2025–Feb 2026
NyraAI
AI Engineer
Built a production LLM voice assistant with RAG and agentic workflows. Implemented guardrails, monitoring, fallback strategies, and automated regression tests.
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 several MERN applications with AI/ML integrations and mentored a small development team. Improved MongoDB query and schema efficiency through data-model optimization.
Nov 2023–Feb 2024
Brutanix
Web Developer Intern
Improved API response times through schema optimization and query tuning, and built reusable React/TypeScript components. 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