Left Aligned
Motorola Solutions Inc ML Engineer Intern ( May 2023 - Auguest 2023 ) | Principal Investigator : David Hall
Implemented Quantization Aware Training with PyTorch Lightning, resulting in 4x reduction in model size with 98% accuracy. Developed an ML platform integrating filters to extract features from multiple algorithms for video surveillance. Optimized CI/CD via GitHub Actions with Docker & Kubernetes, achieving a 2x faster deployment & enhanced scalability using Helm.
Indian Institute of Technology Madras Software ML Engineer ( August 2021 - Present ) | Principal Investigator : Prof. Raghunathan Rengaswamy
Education Product research and development in collaboration with GITAA Pvt Ltd.
Ericsson India Machine Learning R&D Intern ( July 2020 - June 2021 )
Principal Investigators : Dr. Saravanan Mohan, Dr. Kaushik Dey, Dr. Satheesh Kumar Perepu
Bachelors Thesis - Multiagent Reinforcement Learning with dynamic goals for 5G bandwidth slicing. (Developed custom environments resembling the
5G use case with gym, PyMARL and RLlib frameworks)- Multi-Student Knowledge Distillation: Developed disentangled DL models with a novel loss function to produce highly uncorrelated feature space, reducing the inference time significantly by learning only the essential features.
- Developed an indoor localization technique to enhance indoor Li-Fi technology using camera communication.
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The Alan Turing Institute Data Science Researcher | Data Study Group ( June 2021 - Oct 2021 )
Principal Investigators : Dr Abhirup Banerjee,
Dr Yeung Yeung Leung, Dr Stephen Law,
Dr Andrew Elliott
- Predicting the presence of Amyloid plaques and morphology from the histological and gene expression landscape.
Analysed histological slidesstained for cell types and amyloid beta, a protein that forms plaques inAlzheimer’s disease- Urban Feature Analysis - leveraging LiDAR and spherical street view data for road feature analysis with ordnance survey Northern Ireland.
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Georgia State University Research Associate ( May 2020 - Present ) | Principal Investigator : Prof. Ashwin Ashok
- Developed a non-intrusive web-application for human psychoanalysis using graphology that identifies potential mental disorders and
learning disabilities. (Prospective NIH proposal)- Volunteered as a teaching assistant for the computer vision course
Website Github
