Jaydeep Thik
Machine Learning Engineer at DoorDash
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolJaydeep Thik is a Machine Learning Engineer with 8 years of experience building production ML systems, currently improving ETA models at DoorDash after driving materials informatics and automated data-extraction research at Toyota Research Institute. He blends deep learning, LLMs, RAG, computer vision and scalable data stacks (Databricks, Snowflake, Ray, Dagster) to move research into production, and has hands-on experience with FAISS and DeepSpeed for retrieval and large-model workflows. His projects include a fully automated figure digitization engine that processed 6,000+ PDFs and novel metrics for digitization quality, plus work on sequence-of-operations understanding for materials synthesis. Comfortable across Python, C/C++, SQL and PyTorch/TensorFlow, he also explores quantum computing and transfer learning for tabular battery design, signaling a curiosity for foundational advances beyond applied ML.
8 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Computer Engineering, 9.48 GPA, Bachelor's degree, Computer Engineering, 9.48 GPA at CHAROTAR UNIVERSITY OF SCIENCE AND TECHNOLOGYMaster's degree, Computer Science, 3.78, Master's degree, Computer Science, 3.78 at The Ohio State University
English, Hindi
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (13)
machine-learning10
deep-learning10
gpu10
python10
numpy9
neural-network9
tensor8
acceleration8
autograd8
gpu-acceleration8
tensorflow8
emotion4
emotion-recognition4
Programming languages (1)
Github contributions (5)
jaydeepthik/keras-GAN
Jun 2018 - Feb 2022
Contributions:10 commits, 9 pushes in 3 years 8 months
jaydeepthik/MyStats
May 2022 - Jun 2024
Contributions:1 review, 3 PRs, 15 pushes in 2 years 1 month
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