Aditya Khandelwal✦

AI Researcher

New Delhi, Delhi, India0 mo experience

Key Highlights

Over 35 freelance projects in mobile app development.
Contributed to open-source through Google Summer of Code.
Focused on AI-first products using Generative AI and LLMs.

Stackforce AI infers this person is a Data Science and AI enthusiast with a strong foundation in software development and product strategy.

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Skills

Core Skills

Machine LearningOpen-source SoftwareProduct Strategy

Other Skills

Adobe LightroomAdobe XDApplication Programming Interfaces (API)Cascading Style Sheets (CSS)Data AnalysisFigmaFlutterGraphic DesignHTMLHTML5InVisionInteraction DesignJavaKotlinMobile app design

About

I'm a Data Science and Machine Learning enthusiast currently studying at IIT Mandi. My journey began with building mobile apps completing over 35 projects as a freelancer which gave me a strong foundation in software development and product thinking. Over time, my interests naturally evolved toward AI and its potential to create meaningful impact. I’ve contributed to open-source through Google Summer of Code (2022) and Google Code-in (2019), and now focus on building AI-first products using Generative AI, LLMs, and applied machine learning. My current work revolves around applying AI to real-world problems in education, healthcare, and productivity combining technical depth with a product mindset to ship things that matter. Always up for meaningful collaborations or conversations around AI, product, and building for the future.

Experience

Google summer of code

Google Summer of Code

May 2022 – Sep 2022 · 4 mos · Remote

In 2022, I was selected for Google Summer of Code to work with Freifunk on Meshenger, a true P2P phone app for voice and video calls without internet or SIM cards. During this project, I redesigned the app in Figma, enhanced its features, and restored call functionality. Additionally, I converted the entire codebase from Java to Kotlin, improving performance and maintainability.

KotlinJavaFigmaMachine LearningOpen-Source Software

Google code-in

Google Code-In Finalist

Dec 2019 – Jan 2020 · 1 mo · Remote

I had the incredible opportunity to participate in Google Code-in with the OpenMRS organization. During this period, I enthusiastically completed 17 tasks, delving deep into various aspects of open-source contribution. This experience marked my inaugural journey into the realm of open source, where I gained invaluable insights into medical record systems, honed my Java skills, delved into FHIR standards, and even explored the art of designing posters and infographics. Being recognized as one of the finalists was truly gratifying and further fueled my passion for contributing to meaningful projects within the open-source community.

JavaOpen-Source SoftwareProduct Strategy