Chandan Akiti
Research scientist at PathAI
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolChandan Akiti is a Staff Software Engineer with 11 years of experience building production-grade machine learning and distributed systems, currently based in San Jose. He blends deep ML research—evidenced by an EMNLP publication and graduate work on semantic parsing—with hands-on engineering at PathAI and Samsung, shipping end-to-end solutions from Visual PPG for healthcare to large-scale ACR and recommendation pipelines. Comfortable across the stack, he has optimized streaming and storage pipelines (Kafka, Cassandra, Redis) and deployed scalable services on AWS, while training and integrating PyTorch models for detection, segmentation, and retrieval. His approach favors “lean tech” for gig-economy scale, pairing research rigor with practical performance gains such as latency and traffic reductions. A product-minded engineer trained at IIT Madras and Penn State, he often bridges academic ideas and deployable systems in constrained-resource environments.
11 years of coding experience
7 years of employment as a software developer
Indian Institute of Technology MadrasMaster's degree, Computer Science, Master's degree, Computer Science at Penn State University
Japanese, Telugu, Hindi, English
Github Skills (34)
cuda8
pytorch7
inference7
transformer6
nlp6
gpt6
natural-language-processing6
entity6
amd6
llm6
adversarial-attacks6
meta6
data-augmentation5
mlops5
machine-learning5
Programming languages (2)
Github contributions (5)
chandan047/RAT-Tracker
Apr 2020 - Feb 2021
Contributions:20 commits, 19 pushes, 1 branch in 10 months
chandan047/MetaLearningForNER
Nov 2020 - Feb 2021
Meta Learning framework for Named-Entity Recognition
Contributions:26 commits, 4 PRs, 23 pushes in 2 months
nlpnamed-entity-recognitionentity-recognitionmeta-learningentity
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