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