Divyaprakash D

Software Architect at TimekeeperX

Gurugram, Haryana, India
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Summary

👤
Senior
🎓
Top School
Divyaprakash D is a software architect with 8 years of experience building scalable systems, currently shaping the technical vision and end-to-end development of TimekeeperX, a multi-tenant HRMS SaaS. He blends academic AI research—having worked on GPT-3 few-shot classification of disaster tweets at Rutgers—with hands-on product engineering across full-stack and quantitative trading projects. Previously he led engineering at AUM Group and contributed to HPC interoperability tooling (Radical CyberTools) and robotics research, demonstrating a knack for bridging research prototypes into production-ready software. His background in computer and electronics engineering underpins a pragmatic approach to system design, from terminal utilities to cloud-native SaaS. Based in Gurugram, he combines curiosity about science and technology with a track record of leading teams and shipping reliable, data-driven products. An often-overlooked strength is his experience translating experimental ML models into practical applications for real-world workflows.
code8 years of coding experience
job6 years of employment as a software developer
bookBachelor's degree Electrical and Electronics Engineering, Bachelor's degree Electrical and Electronics Engineering at Shri Ramdeobaba College of Engineering and Management
bookMaster's degree Computer Engineering, Master's degree Computer Engineering at Rutgers University–New Brunswick
bookMiddle School, Middle School at St. John's School Whitehall, Shillong
bookHigh School, High School at St. Xavier's High School, Nagpur
languagesHindi, English
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Github Skills (12)

structure-from-motion10
stereo10
colmap9
geometry9
intrinsics9
homography9
computer-vision9
face-detector7
face-detection4
hpc2
infiniband2
analytics1

Programming languages (4)

TypeScriptC++RubyPython

Github contributions (5)

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High-performance TensorFlow library for quantitative finance.
Contributions:3 pushes in 3 years 3 months
pythontensorflow-librarymachine-learningperformancestochastic-processes
Best Practices on Recommendation Systems
Contributions:2 pushes in 2 years
recommendation-systemspythonrecommendationweb-applicationmachine-learning
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