Pranav Kulkarni
Machine Learning & Signal Processing Algorithms Engineer at Apple
Pasadena, California, United States
Summary
👤
Senior🎓
Top SchoolPranav Kulkarni is a Machine Learning and Signal Processing Algorithms Engineer with eight years of experience bridging theoretical research and production-grade ML for Human Interface Devices. He completed an advanced signal-processing PhD track at Caltech where he developed novel DOA estimation methods, rational coprime array theory, and periodicity-aware denoising that blend number theory, combinatorics, and ML. At Apple he applies those algorithmic and mathematical strengths to real-world HID challenges, while earlier internships translated research into grid topology and power-system algorithms and interpretable generative models. He has a strong academic foundation (IIT Bombay BTech, Caltech MS/PhD work), proven teaching experience in signals and DSP, and a track record of turning rigorous proofs into practical algorithms robust to noise and hardware constraints. Colleagues would note his taste for elegant, math-driven solutions and a relaxed personal style—“just a guy chillin’”—that keeps collaboration grounded.
8 years of coding experience
8 years of employment as a software developer
Indian Institute of Technology BombayCalifornia Institute of TechnologyCentral Board of School Education, 98.2%, Central Board of School Education, 98.2% at Jnana Prabodhini Prashala
English, Marathi, Sanskrit, Hindi
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (32)
transformers10
socket-io10
pytorch10
javascript10
language-model10
react-native10
web-application10
python10
electron10
typescript10
machine-learning10
websocket10
apache10
seq2seq10
flax10
Programming languages (3)
Github contributions (5)
MadElf1337/MadElf1337
Sep 2021 - Feb 2025
Contributions:2 pushes, 1 branch in 3 years 5 months
MadElf1337/Cryptocurrency-price-prediction
Oct 2021 - Sep 2023
Contributions:6 pushes, 1 branch in 1 year 11 months
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