Sahith Dambekodi
Machine Learning Engineer at DoorDash
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolSahith Dambekodi is a machine learning engineer with a decade of experience building production ML systems and research prototypes across industry and academia, currently at DoorDash in San Francisco. His background spans reinforcement learning, computer vision, and NLP, with applied scientist roles at 2K and research internships at Mila and IBM where he worked on semi-supervised language models, GAN-based image translation, and speech-driven learning tools. He has contributed to core backend logic and test automation for the AI-focused EvaDB database, implementing and validating expression evaluation that underpins query processing for ML applications. Comfortable moving models from research to product, he teaches reinforcement learning topics and has a track record of shipping robust unit-tested components in both research and engineering contexts. Trained at Georgia Tech (MS Computer Science) and BITS Pilani (EE), he blends academic rigor with practical delivery in large-scale, production-focused environments. Notably, he leverages deep learning research experience to solve real-world game, commerce, and developer tooling problems.
10 years of coding experience
4 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and ScienceMaster's degree Computer Science, Master's degree Computer Science at Georgia Institute of Technology
English, Kannada
Github Skills (20)
unit-testing10
test-driven-design10
python10
evaluation10
expressions10
databases10
eval10
evaluator10
expression10
sql10
relational-databases10
sql-database10
database10
data-structure9
algorithm9
Programming languages (4)
Github contributions (5)
georgia-tech-db/evadb
Nov 2019 - Dec 2019
Database system for AI-powered apps
Role in this project:
Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:16 commits, 3 PRs, 1 comment in 22 days
Contributions summary:Sahith primarily contributed to the development of core expression evaluation logic within the EvaDB database system. They implemented and tested various comparison and arithmetic expressions, including equality, inequality, greater/lesser than, and arithmetic operations such as addition, subtraction, multiplication, and division. Furthermore, the user added logical expressions (AND, OR, NOT) and wrote comprehensive unit tests to ensure the correctness of these expression evaluations. The user's work focused on building the foundational components for query processing within the database.
image-classificationvideogpt-4evaexploratory-video-analytics
SND96/pocketsphinx-scores
Mar 2017 - Jun 2017
Contributions:24 commits, 8 PRs, 19 pushes in 3 months
javascriptrecognitionspeech-recognitionacousticspeech
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