---
title: "veeresh S K - Applied AI Engineer & co-ops Intern in Bengaluru | Tal"
description: "Meet veeresh S K, AI Engineer & Full-Stack Developer · MERN + LLMs · Multi-Agent Systems · RAG Pipelines · BCA Hons @ RVU × Kalvium based in Bengaluru. AI stack includes anthropic apis, claude, and langchain. Explore public work links including github and medium."
image: "https://tal.club/meet/veeresh-s-k/share-image"
---

# veeresh S K on Tal

## Headline

AI Engineer &amp; 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 &amp; co\-ops Intern at EnsanAI, Aug 2025 \- May 2026 · 10 mos, Remote, Applied AI Engineer &amp; 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 &amp; 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

[View the original profile](https://tal.club/meet/veeresh-s-k)

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