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

Bengaluru

Bengaluru









Bachelor of Engineering - BE, Computer Engineering
Thapar Institute of Engineering & Technology
Vashistt Public School, Una(HP)
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Download Tal BossIntern 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
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.
Una
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gemini
langchain
huggingface
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.
Bachelor of Engineering - BE, Computer Engineering, Thapar Institute of Engineering & Technology
Vashistt Public School, Una(HP)
github: https://github.com/madhavkapila
leetcode: https://leetcode.com/SmartKapila
codeforces: https://codeforces.com/profile/smartk