Tarpan Mishra

Machine Leaning Engineer at FormIQ

San Francisco Bay Area United States
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Summary

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Rockstar
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Tarpan Mishra is a machine learning engineer with a decade of experience building cloud-native, production-grade AI systems and backend services in the San Francisco Bay Area. He designs and deploys scalable microservice architectures and inference pipelines—leveraging FastAPI, Celery, Kubernetes, and cloud providers—to support high-throughput video analysis with sub-300 ms frame processing. His work blends applied ML (XGBoost, random forests) with real-time data engineering (Kafka, Redis, PostgreSQL) and domain-specific solutions from biomechanics to water infrastructure monitoring. At FormIQ he introduced retrieval-augmented agents using LangChain for adaptive exercise insights, and his research background includes using simulation and deep learning to detect cyber attacks on water systems. A UC Berkeley applied math and CS student by training, he pairs rigorous quantitative foundations with hands-on deployment skills and an active npm presence (tarepan) that signals ongoing open-source experimentation.
code9 years of coding experience
bookApplied Mathematics and Computer Science, Applied Mathematics and Computer Science at University of California, Berkeley
bookHigh School Diploma, Computer Science, High School Diploma, Computer Science at Dougherty Valley High School
languagesEnglish, Odia
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Github Skills (145)

spectrogram10
python10
voice-conversion10
infrastructure10
pitch10
deep-learning10
speech10
librosa10
representation-learning10
apc10
dtw10
audio10
voice10
ai10
conversational-ai10

Programming languages (11)

TypeScriptDockerfileCSSC++RustCJavaScriptShaderLab

Github contributions (5)

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tarepan/MultibandRNNMS

Dec 2021 - Nov 2022

Contributions:22 commits, 12 pushes, 2 branches in 11 months
tarepan/S3PRL_VC

May 2022 - Nov 2022

Contributions:77 commits, 28 pushes, 2 branches in 5 months
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