Headline

AI Engineer & Full-Stack Developer · MERN + LLMs · Multi-Agent Systems · RAG Pipelines · BCA Hons @ RVU × Kalvium

About

I'm an AI engineer and full-stack developer pursuing BCA (Hons) at RV University × Kalvium. My focus is on building production-grade AI systems from multi-agent LLM frameworks and RAG pipelines to real-time voice AI with a strong foundation in full-stack engineering using the MERN stack. At Ensan.AI, I architected a CollabLLM-inspired multi-agent simulation framework for healthcare AI, built RAG pipelines processing 50K+ monthly records, and developed a multilingual voice AI agent (STT → LLM → TTS) with sub-4s latency. I improved NLP accuracy from 85% to 92% through fine-tuned embeddings and optimised vector search. On the product side, I've shipped Phytech a full-stack hardware marketplace with AI-powered recommendations and engineered a gesture-controlled gaming interface using Python, OpenCV, and MediaPipe. Tech stack: Python · JavaScript · TypeScript · React.js · Node.js · Express.js · FastAPI · LangChain · OpenAI APIs · RAG · FAISS · Qdrant · Pinecone · MongoDB · PostgreSQL · Docker · AWS I'm open to AI engineering or full-stack internship roles where I can work on systems that matter. Let's connect. Portfolio: https://veereshsk.netlify.app/

Location

Bengaluru

AI stack

anthropic apis

claude

langchain

langgraph

mcp

PydanticAI

Work experience

Applied AI Engineer & co-ops Intern at EnsanAI, Aug 2025 - May 2026 · 10 mos, Remote, Applied AI Engineer & Founding Engineer Intern · Aug 2025 – Apr 2026 • Architected a CollabLLM-inspired multi-agent simulation framework for healthcare AI, enabling large-scale multi-turn evaluation across realistic clinical workflows. • Designed multi-turn reward systems (relevance, safety, empathy, efficiency) to evaluate end-to-end dialogue quality and drive continuous model improvement. • Built and scaled RAG pipelines processing 50K+ monthly records; reduced latency through optimised retrieval, embedding caching, and batching strategies. • Improved NLP accuracy from 85% to 92% by retraining pipelines with fine-tuned embeddings and optimised vector search (FAISS/Qdrant). • Developed a real-time multilingual voice AI agent (STT → LLM → TTS) with sub-4s latency and interrupt handling, enabling seamless patient interactions. • Engineered streaming, API-first AI systems (FastAPI/Flask), reducing processing time by 30% across production workflows.

Contributor at GirlScript Summer of Code, Jul 2025 - Sep 2025 · 3 mos, Hybrid

Member of Domain Team at Google Developer Groups On Campus, RV University, Oct 2024 - Feb 2026 · 1 yr 5 mos, Bengaluru, Karnataka, India

Quality Assurance Engineer at Lohia Corp Limited, Aug 2023 - Jul 2024 · 1 yr, Bengaluru, Karnataka, India, Quality Assurance & Sales Engineer · May 2023 – Jul 2024 • Contributed to 8% YoY sales growth by identifying optimisation opportunities and improving technical product positioning in competitive markets. • Provided technical clarity during negotiations, improving client trust and increasing successful deal conversion rates. • Acted as liaison between technical and business stakeholders throughout the solution delivery lifecycle.

Education

Bachelor's degree, Computer Engineering, Rv university

Tool and Die Technology/Technician, NTTF (Nettur Technical Training Foundation)

Public links

github: https://github.com/VEERESH069

medium: https://medium.com/@veereshskbca24