Kartik Khandelwal
Senior Machine Learning Engineer at Atlassian
Mumbai, Maharashtra, India
Summary
🤩
Rockstar🎓
Top SchoolKartik Khandelwal is a Senior Machine Learning Engineer with nine years of experience building production-grade ML systems and APIs, currently at Atlassian after leading generative AI and safety work at Meta. He has deep hands-on expertise in model deployment and API design—contributing OpenAI-compatible REST API features and function-calling support to the notable mlc-llm project—and a strong background in applied research from Carnegie Mellon. His career spans building MATLAB ML tooling at MathWorks, protecting user data with anti-scraping and generative-AI defenses, and shipping high-recall autonomous matching and medical imaging systems. Comfortable moving between research and engineering, he mentors engineers and offers coaching/mentorship publicly.
9 years of coding experience
7 years of employment as a software developer
Bachelor of Technology - BTech Electrical Engineering, Bachelor of Technology - BTech Electrical Engineering at Veermata Jijabai Technological Institute (VJTI)Master's degree Electrical and Computer Engineering, Master's degree Electrical and Computer Engineering at Carnegie Mellon University
Stackoverflow
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Github Skills (10)
api-rest10
rest-api10
openai-api10
language-model10
python10
api-design10
restful-api10
llm10
cprogramming-language9
c-language9
Programming languages (4)
Github contributions (5)
mlc-ai/mlc-llm
Sep 2023 - May 2024
Universal LLM Deployment Engine with ML Compilation
Role in this project:
Back-end Developer & API Developer
Back-end Developer & API DeveloperContributions:7 reviews, 36 PRs, 4 pushes in 7 months
Contributions summary:Kartik primarily focused on developing the REST API for the project, specifically for OpenAI compatibility. They implemented features such as presence and frequency penalties, conversation history support, and parameters like max_gen_len, n, and stop_str. The user also refactored generation configurations and added documentation for parameters. Moreover, they worked on function calling integration within the REST API, enabling tools and function calls.
language-modelllmmachine-learning-compilationtvm
Kartik14/mlc-llm
Oct 2023 - May 2024
Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.
Contributions:2 PRs, 75 pushes, 48 branches in 7 months
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