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.
LLM SYSTEMS/RAG/AGENTS/FULL STACK
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SOCIAL BRAIN · 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.
From personal knowledge to enterprise workflows. A closer look at the systems, the decisions, and what came out of them.
A place for everything you save. A cross-platform knowledge base with an AI assistant grounded in your own sources.
Answers grounded in 10,000+ documents. A retrieval system built around relevance, traceability, and continuous evaluation.
Coordinated agents for document-heavy workflows, with human approval gates and a clear view of system behavior.
A realtime voice assistant with persistent memory and tools for calendar, CRM, and search.
Fast, accessible web apps and marketing sites built with Next.js and React.
Cross-platform mobile apps that share logic with the web, built with React Native and Expo.
Automated workflows that connect LLMs to the tools and data you already use.
RAG pipelines, agent orchestration, and voice assistants grounded in your own data.
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 pageData Science · Malla Reddy Engineering College
Hyderabad · Nov 2022–Jul 2026
Enterprise delivery, early-stage products, and team leadership. Each role added another part of the system.
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.
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.
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.
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.
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.
Retrieval, agents, and voice interfaces with evaluation built into delivery.
The APIs and interfaces that turn a working model into a usable product.
Searchable data, asynchronous jobs, and dependable deployment workflows.
Have an AI engineering role or a challenging technical problem in mind? I’d like to hear about it.
Say hello