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A showcase of my personal and technical projects.

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DDPG: Deep Deterministic Policy Gradient (TensorFlow 2.x)
DDPG: Deep Deterministic Policy Gradient (TensorFlow 2.x)
July 2025Completed
GitHubArchitecture DiagramOriginal Paper
A robust, modular, and extensible reimplementation of the DDPG reinforcement learning algorithm (Lillicrap et al., 2015) using TensorFlow 2.x. Built for reproducibility, research comparison, and interactive experimentation with Gym environments.
  • Modular architecture: separate agent, networks, noise, buffer, wrappers
  • Hyperparameter sweeps, YAML config system, and TensorBoard logging
  • Includes full unit test suite and reproducibility controls (seed, version logging)
  • Supports Gym ≥ 0.26, Apple Silicon acceleration (tensorflow-macos, -metal)
🎯Reinforcement Learning🧠DDPG🔢TensorFlow🏋️OpenAI Gym
ACME10-HE-RAGApp: RAG with Vector Search, Knowledge Graphs, and LLMs
ACME10-HE-RAGApp: RAG with Vector Search, Knowledge Graphs, and LLMs
May 2025Completed
GitHubFinal Report
A full-stack Retrieval-Augmented Generation (RAG) application developed for HackerEarth that integrates vector search (FAISS), knowledge graphs (DBpedia), and OpenAI’s LLM to generate traceable, context-rich answers from a Wikipedia-based knowledge base.
  • Developed for HackerEarth using 10,000+ Wikipedia articles
  • FAISS-based vector search for semantic retrieval
  • Knowledge graph context enhancement with DBpedia and SPARQL
  • OpenAI LLM for coherent and natural language answers
  • Dockerized deployment with local dev option
🤖LLM📚RAG🔎Vector Search🗺️Knowledge Graph🛠️Full-Stack📝NLP