I am a data scientist and software engineer specializing in AI, with expertise in building scalable systems and advanced machine learning solutions. Passionate about combining cutting-edge research with practical applications, I focus on data science, software engineering, and finance domains. I thrive on solving complex problems with innovative, efficient, and impact-driven approaches.
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- ๐น Reinforcement Learning for Stock Trading: Developed deep reinforcement learning agents (DDPG, PPO) to optimize trading strategies using historical market data. Focused on maximizing Sharpe ratio and risk-adjusted returns.
- ๐น Attention-Enhanced Image Captioning: Led the design of a dual-attention architecture combining ResNet50V2 and LSTM for image captioning.
- ๐น Scalable Distributed Key-Value Store: Built a distributed key-value store using Go and gRPC, implementing consistent hashing, Raft-based consensus, and replication. Engineered for fault tolerance, strong consistency, and horizontal scalability.
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Developing advanced ML models for cryptocurrency price prediction using deep learning and sentiment analysis.
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Implementing TensorFlow.js models for browser-based inference and real-time predictions.
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Building scalable ML pipelines with FastAPI, Docker, and Kubernetes for production deployment.
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