I'm a Computer Science student specializing in Data Science, focusing on backend development, Machine Learning (ML), and MLOps.
SWE Intern at TurboML
Ex-SWE Intern at Coinbase and Kelly Technology
My technical interests include:
Developing scalable backend systems and APIs
Implementing and deploying ML models, including Large Language Models (LLMs)
Building ML pipelines and MLOps infrastructure
Optimizing data processing and storage solutions
My goal is to bridge the gap between cutting-edge ML research and production-ready systems.
Highlights
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UAV-Target-Detection
UAV-Target-Detection PublicModel utilizes a finely tuned YOLOv3 with optimized network structure and Darknet53 feature extraction, achieving 87% precision for SCRO
C 1
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Line-of-Sight-for-Communication-Channels
Line-of-Sight-for-Communication-Channels PublicIntegration of doppler effect through communication channels using UCT algorithm
C++
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Rhythm-Generator
Rhythm-Generator PublicForked from Data-Science-Community-SRM/Rhythm-Generator
Rhythm generator using Transformer XL utilizes the model's attention mechanism and context memory to create coherent and expressive rhythmic patterns in sequences for music ideation
Python
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Digital-Box
Digital-Box PublicCustomer communication store with interactive complaint/query capabilities and secure document upload/download at the customer level for Hack - O - Hire Hackathon conducted by Barclays India.
Dart
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