Summary
Radhika Nikam is a software engineer with a strong research pedigree, combining a Master's in Computer Science from NYU Courant with an Electrical and Electronics Engineering degree from BITS Pilani and nine years of professional experience across research and industry. She has built production-facing systems at firms like JPMorgan Chase and WePay while previously driving ML research—developing a zero-shot wildlife detection pipeline at NYU that approached ImageNet ZSL performance and improving annotation reliability for MOOC forum studies at NUS. Comfortable across Python, C/C++, cloud platforms, and ML frameworks (PyTorch, TensorFlow, scikit-learn), she bridges model development and deployment using Docker, Kubernetes, and Spark. Notably, she has experience raising annotation quality from poor to substantial agreement and translating academic prototypes into practical engineering results.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Engineering (B.E.), Electrical and Electronics Engineering, Bachelor of Engineering (B.E.), Electrical and Electronics Engineering at BITS Pilani
Masters, Computer Science, Masters, Computer Science at New York University
English, Hindi, French, Marathi