---
title: "Sunam Kundal - AI Trainee in Bengaluru | Tal"
description: "Meet Sunam Kundal, AI Trainee @ Kuku | Developing AI Solutions based in Bengaluru. AI stack includes claude code, claude, and codex. Explore public work links including github, leetcode, and codeforces."
image: "https://tal.club/meet/sunam-kundal/share-image"
---

# Sunam Kundal on Tal

## Headline

AI Trainee @ Kuku \| Developing AI Solutions

## About

Who I Am I am Sunam Kundal, a recent graduated from NIT Srinagar with a profound passion for Artificial Intelligence, Machine Learning, and Natural Language Processing\. My journey in the technology sector has been marked by a commitment to leveraging cutting\-edge AI/ML solutions to solve real\-world problems and enhance operational efficiencies\. My Expertise My experience includes significant contributions to developing customer support\-focused NLP solutions, where I honed my skills in text preprocessing, model training, and evaluation\. I have also engaged in applied machine learning and artificial intelligence tasks, encompassing model development, experimentation, and deployment support\. My technical toolkit includes Python, Deep Learning frameworks, and a strong understanding of Data Science principles\. My Goals I am actively seeking opportunities to apply my expertise in AI/ML and NLP within the technology industry, aiming to contribute to innovative projects that push the boundaries of intelligent systems\. I am particularly interested in roles that involve developing scalable AI solutions, optimizing machine learning models, and exploring advanced NLP applications to create impactful products and services\.

## Location

Bengaluru

## AI stack

claude code

claude

codex

elevenlabs

gemini

hugging face

## Work experience

AI Trainee at Kuku, Jul 2026 \- Present · 4 mos, Bengaluru

AI/ML Intern at SiMa\.ai, Jan 2026 \- Jul 2026 · 7 mos, Bengaluru, AI/ML Verification, Validation & Performance \- Performed GenAI model performance and accuracy benchmarking to evaluate model quality and system efficiency\. \- Worked on KV Cache Quantization and Long\-Context Performance Improvements to optimize LLM inference\. \- Contributed to GenAI roadmap initiatives, including: \- Pre\-Quantized LLM Support using LLM\-Compressor \- Dynamic LoRA Support \- MoLE LLM Evaluation Framework \- Compiled and validated AI/ML models and uploaded compiled models to Hugging Face for accessibility and deployment workflows\. Automation & Infrastructure \- Developed and maintained LLM\-Compressor automation for model compression and validation workflows\. \- Automated model compilation job execution through Jenkins for both 10x and non\-10x models, improving testing and validation efficiency\. AI/ML Engineering Contributions \- Contributed to the development, experimentation, and validation of AI/ML models, focusing on performance, accuracy, and optimization\. \- Supported deployment and integration of machine learning solutions, ensuring reliable and robust workflows\. \- Gained hands\-on experience with LLMs, model quantization, inference optimization, LoRA, model evaluation, automation, and edge AI infrastructure\.

NLP Intern at Xerzer Developments, Dec 2024 \- Feb 2025 · 3 mos, Jammu & Kashmir, India, Developed and optimized a customer support\-focused Natural Language Processing solution\. Implemented text preprocessing techniques, improving data quality for model training\. Conducted model training and evaluation, enhancing the accuracy of automated customer support workflows\.

## Education

Bachelor of Technology \- BTech, Computer Science, National Institute of Technology Srinagar

Dakshana foundation

## Public links

- github: https://github\.com/sunamkundal01
- leetcode: https://leetcode\.com/sunamkundal
- codeforces: https://codeforces\.com/profile/sunamkundal
- codolio\.com: https://codolio\.com/profile/sunamkundal

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

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