Basu Jindal
Machine Learning Engineer at Apple
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolBasu Jindal is a Machine Learning Engineer with 7 years of hands-on experience bridging deep learning research and production-focused engineering across NLP, computer vision, and reinforcement learning. A UC San Diego graduate student now based in New York, he has extended LLMs for multimodal medical inputs at UnitedHealth Group and currently works on inference optimization and quantization at Apple. His open-source work includes a well-received Stable Diffusion optimization that cut VRAM requirements from 7 GB to under 4 GB and earned over 3.1K GitHub stars, demonstrating a knack for practical efficiency gains. He has applied ML to diverse domains—from surgical-robot simulation and traffic-flow RL to explainability for Vision-LLMs—showing both broad curiosity and applied impact. Actively on the job market for full-time ML Engineer/Researcher roles starting March 2024, he maintains a technical blog that surfaces his experiments and insights.
6 years of coding experience
1 year of employment as a software developer
Indian Institute of Technology MadrasMaster's degree, Electrical & Computer Engineering, Master's degree, Electrical & Computer Engineering at UC San Diego Jacobs School of Engineering
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (66)
inpainting10
optimization10
nlp9
parallel9
python9
gpu9
deep-learning9
hyperparameter-optimization9
ray9
pytorch9
large-language-models9
machine-learning9
data-science9
reinforcement-learning9
java9
Programming languages (6)
Github contributions (5)
basujindal/weekendProjects
Mar 2020 - Oct 2022
Contributions:14 pushes, 1 branch in 2 years 6 months
basujindal/nanoGPT_LB
May 2023 - Apr 2024
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Contributions:2 PRs, 75 pushes, 2 branches in 11 months
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