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Madhav Kapila

Intern at Sarvam | Activate AI Fellow | Amazon MLSS 2025 | B.E. Computer Science | Generative AI | NLP | Backend | Agentic AI | Smart Learner Driving Innovation in Future Technologies | Faith‑Driven & Family‑Oriented

Una

1+ year of work experience

Sarvam
Jun 20263 mosPresent

Bengaluru

Activate
Jun 20263 mosPresent

Bengaluru

Amazon
Aug 20251 moAug 2025

Selected as one of 3,000 students out of ~80000 to participate in the prestigious Amazon ML Summer School 2025. This intensive, four-week program provides an integrated learning experience focused on core machine learning concepts and their practical applications. I attended live sessions led by Amazon scientists and domain experts, covering a comprehensive curriculum that includes: Supervised and Unsupervised Learning Deep Neural Networks (DNN) and Dimensionality Reduction Sequential Learning and Causal Inference Reinforcement Learning Generative AI and LLMs Throughout the program, I engaged in lectures, hands-on exercises, and interactive Q&A sessions with researchers and engineers who build production-ready ML systems and recommendation engines at Amazon. This experience has prepared me to translate advanced training into impactful, real-world solutions.
Creative Computing Society
Jan 20251 yr 1 moJan 2026

– Mentor at CCS Coding Community (5000+ members) providing technical guidance on DSA best practices. – Conduct daily sessions on problem-solving, competitive programming & algorithmic software solutions to real-life applications.

Madhav’s AI Stack

claude code
claude code
codex
codex
cursor
cursor
gemini
gemini
langchain
langchain
huggingface
huggingface

Education

Thapar Institute of Engineering & Technology

Bachelor of Engineering - BE, Computer Engineering

Thapar Institute of Engineering & Technology

20234 yrs2027

Vashistt Public School, Una(HP)

20212 yrs2023

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Headline

Intern at Sarvam | Activate AI Fellow | Amazon MLSS 2025 | B.E. Computer Science | Generative AI | NLP | Backend | Agentic AI | Smart Learner Driving Innovation in Future Technologies | Faith‑Driven & Family‑Oriented

About

As a Junior at TIET pursuing a B.E. in Computer Science, I combine a strong foundation in DSA and daily problem‑solving discipline with a clear focus on the evolving world of Artificial Intelligence and Machine Learning. I’m currently immersing myself into hands‑on AI/ML projects—ranging from predictive analytics and computer vision to natural language processing—and I leverage my web‑development skills to prototype intuitive applications that showcase intelligent capabilities. Known for a structured mindset, adaptability, and collaborative spirit, I thrive in environments where innovation meets execution. My leadership, integrity, and relentless work ethic ensure that I learn quickly and deliver measurable results. My long‑term aim is to bridge business and AI‑driven technology—transforming ideas into products that make a real impact. If you’re working on AI/ML initiatives and share my passion for building the future, let’s connect.

Location

Una

AI stack

claude code

codex

cursor

gemini

langchain

huggingface

Work experience

Software Engineer Intern (Activate Fellow) at Sarvam, Jun 2026 - Present · 3 mos, Bengaluru

AI Fellow at Activate, Jun 2026 - Present · 3 mos, Bengaluru

Apprentice - Amazon ML Summer School at Amazon, Aug 2025 - Aug 2025 · 1 mo, Selected as one of 3,000 students out of ~80000 to participate in the prestigious Amazon ML Summer School 2025. This intensive, four-week program provides an integrated learning experience focused on core machine learning concepts and their practical applications. I attended live sessions led by Amazon scientists and domain experts, covering a comprehensive curriculum that includes: Supervised and Unsupervised Learning Deep Neural Networks (DNN) and Dimensionality Reduction Sequential Learning and Causal Inference Reinforcement Learning Generative AI and LLMs Throughout the program, I engaged in lectures, hands-on exercises, and interactive Q&A sessions with researchers and engineers who build production-ready ML systems and recommendation engines at Amazon. This experience has prepared me to translate advanced training into impactful, real-world solutions.

DSA Mentor at Creative Computing Society, Jan 2025 - Jan 2026 · 1 yr 1 mo, – Mentor at CCS Coding Community (5000+ members) providing technical guidance on DSA best practices. – Conduct daily sessions on problem-solving, competitive programming & algorithmic software solutions to real-life applications.

Education

Bachelor of Engineering - BE, Computer Engineering, Thapar Institute of Engineering & Technology

Vashistt Public School, Una(HP)

Public links

github: https://github.com/madhavkapila

leetcode: https://leetcode.com/SmartKapila

codeforces: https://codeforces.com/profile/smartk