---
title: "Nikhil Lamba - Founding AI Engineer in Bengaluru | Tal"
description: "Meet Nikhil Lamba, Building in GenAI space | Founding AI Engineer @Adopt.ai | Ex-TechLead @HCLTech | M.Tech. AI - NIT Jalandhar based in Bengaluru. AI stack includes claude, cursor, and deepseek. Explore public work links including github and nikhillamba24.github.io."
image: "https://tal.club/meet/nikhil-lamba/share-image"
---

# Nikhil Lamba on Tal

## Headline

Building in GenAI space \| Founding AI Engineer @Adopt\.ai \| Ex\-TechLead @HCLTech \| M\.Tech\. AI \- NIT Jalandhar

## About

Contributed in Deep Learning via patent \[deployed the whole process\] and publication\. My current efforts are in building a product with Adopt AI, where as an AI Engineer, the main focus lies on transforming UI to AX with providing better reliability on agents\.

## Location

Bengaluru

## AI stack

claude

cursor

deepseek

hermes agent

langchain

opencode

## Work experience

Founding AI Engineer at Adopt AI, Mar 2025 \- May 2026 · 1 y 2 mo, Bengaluru, 1\. Building product on agent experience\. \- Building scalable agents, that understands the website/app and performs the grounded tasks\. \- Increasing the precision and accuracy of agents across the integrated app\. 2\. Contributing to transform UI to AX with seamless integration among various levels\. \- Creation of intelligent agents for the improved AX\. \- Agents that interacts with any user given vague prompts and orchestrate well across the available actions\. 3\. Focusing on actions and collaborating with team for building impactful agents\. \- Tasks include improving the core agentic layer to minimal interaction and fully automated action generation\. \- Collaborating with frontend team, to build the support for backend features really quick and deploy in a day or two\. 4\. Engineering remote code execution for effective agent to agent communication stack\. \- Enhanced the autonomous behavior and reduced token usage during agent development by 60%\. \- Implemented complex autonomous conditional tracks, that provides experience as agents working completely out of the box\.

Technical Lead at HCLTech, Oct 2023 \- Feb 2025 · 1 yr 5 mos, Chennai, Tamil Nadu, India, Worked in iDoRAN team \(under Engineering and R&D services\), dedicated work towards LLMs, VLMs and computer vision \(2D &3D\)\.

AI Fellow at Metapix, Mar 2023 \- Jul 2023 · 5 mos, Worked as an AI fellow on style transfer techniques and mainly generative AI \(computer vision\) including ControlNet, etc\. Provided with deployment ready filter on styling via Gen AI\.

AI and ML intern at Proxgy, Apr 2022 \- Jun 2022 · 3 mos, Gurugram, Haryana, India, Was a part of core machine learning team with computer vision tasks\. I contributed with real\-time object segmentation algorithm’s deployment on ML layer of organization’s leading product that included smart helmets\. I also contributed in privacy preserving project of the user for eKYC\.

Computer Vision Engineer \(Intern\) at SkyScout Group, Jul 2021 \- Jan 2022 · 7 mos, Ljubljana, Slovenia, Here, I was a part of innovation team, worked on backend algorithm development and deployment of computer vision pipeline\. My contribution in the team resulted in reduced processing time\(close to real time\) of entire pipeline including player’s detection and tracking, camera calibration, 3D conversion of monocular video for sports clubs\. Our contribution got selected for final PoC\(Proof of Concept\) for Shareholder's meeting\.

## Education

Master of Technology \- MTech, Artificial Intelligence, Dr B R Ambedkar National Institute of Technology, Jalandhar

Bachelor of Technology, Computer Science \(Gold Medalist\), SRM University Sonepat, Haryana

## Public links

- github: https://github\.com/NikhilLamba24
- nikhillamba24\.github\.io: https://nikhillamba24\.github\.io/

[View the original profile](https://tal.club/meet/nikhil-lamba)

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