---
title: "Yash Bansal - Machine Learning Engineer in Bengaluru | Tal"
description: "Meet Yash Bansal, Building RISA | T1 Life | Amazon MLSS based in Bengaluru. AI stack includes anthropic apis, claude code, and claude."
image: "https://tal.club/meet/yash-bansal-5/share-image"
---

# Yash Bansal on Tal

## Headline

Building RISA \| T1 Life \| Amazon MLSS

## About

Passionate about Software Engineering and Machine Learning applications with extensive experience in full stack development and machine learning, passionate about creating exceptional products that deliver meaningful user experiences\. My expertise spans various technological landscapes, and I have successfully designed and launched multiple applications that solve real\-world problems\. During my time as a Software Engineering Intern at Kalpavriksh Super Speciality Center, I developed a carbohydrate counting tool and automated bolus dose calculation using reinforcement algorithms, resulting in a 90% patient acceptance rate\. I also contributed to the development of a Node\.js backend and a web application for patient data monitoring, enhancing the efficiency of healthcare professionals\. As a Teaching Assistant at Coding Ninjas, I conducted daily interactive sessions on Machine Learning and Data Structures & Algorithms, achieving high student satisfaction rates\. My commitment to education and technology has fueled my drive to innovate and lead projects\. Some of my notable projects include Messiah WAMR, an all\-in\-one solution for WhatsApp issues, and iPDF, an ad\-free app for converting images into PDF files, both highly rated on Google PlayStore\. I also developed Gify, an algorithm for converting bitmaps into high\-quality GIFs, and Chotilulli\.life, a touch typing practice website with real\-time speed and accuracy tracking\. I am currently pursuing my B\.Tech in Computer Science and Engineering at Vellore Institute of Technology, and have been selected for Amazon's ML Summer School 2024, where I am mastering cutting\-edge machine learning concepts\. My skills include C\+\+, Java, JavaScript, MERN stack, Kotlin, TensorFlow, and more, making me adaptable to various tech stacks and project requirements\. I am always eager to connect with like\-minded professionals and explore opportunities that challenge me to grow and innovate\.

## Location

Bengaluru

## AI stack

anthropic apis

claude code

claude

cursor

## Work experience

Machine Learning Engineer at RISA, Jul 2025 \- Present · 1 yr 4 mos

Principal Engineer at T1 Life, Feb 2025 \- Present · 1 yr 9 mos, Hybrid

Engineering Intern at RISA, Apr 2025 \- Jun 2025 · 3 mos, Bengaluru, Karnataka, India

Amazon MLSS Mentee at Amazon, Jul 2024 \- Aug 2024 · 2 mos, India, \- Mastered advanced ML concepts, including Reinforcement Learning and Generative AI\. \- Engaged in Q&A sessions with Amazon Scientists\.

Teaching Assistant at Coding Ninjas, Jul 2023 \- Mar 2024 · 9 mos, \- Conducted daily live interactive Machine Learning sessions\. Resolved 95% of student doubts, receiving a rating of 4\.5/5\. \- Facilitated daily doubt sessions on DSA\. Achieved a 96% doubt resolution rate with an average rating of 4\.3/5\.

Software Engineer Intern at Kalpavriksh Healthcare, Jan 2023 \- Jun 2023 · 6 mos, \- Worked on the app, designed for Type 1 diabetes patients, which suggests the appropriate insulin dosage intake\. \- Automated bolus dose calculation using a reinforcement algorithm in the app, with 90% patient acceptance\. \- Built a Node\.js backend and web application for doctors to monitor patient data\. \- Worked on CI/CD pipeline using GitHub Actions to automate the deployment on Azure\.

## Education

Bachelor's degree, Computer Science, Vellore Institute of Technology \(VIT\)

[View the original profile](https://tal.club/meet/yash-bansal-5)

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