Aspiring Machine Learning Engineer with hands-on experience in developing AI-driven solutions, specializing in Python, PyTorch, and Transformer models. Adept at building and fine-tuning LLMs and implementing computer vision systems. Strong problem-solving abilities, automation expertise, and a passion for creating impactful machine learning projects. Proven track record in leveraging AI for search summarization, finance automation, and emotion detection.
I am open to collaborating on projects, and I'm always looking for new opportunities to learn and grow.
ThinkAct AI
Remote
2025/06 - Present
Architected and deployed advanced RAG applications with multi-tenant architecture and highly configurable, decoupled components using YAML-based service configurations, scalable vector database integration, robust task management, and optimized retrieval methods. Designed and implemented AI-driven platforms and specialized agents leveraging LangChain, LangGraph, and Model Context Protocol (MCP), including task-specific MCP servers and client integrations. Led a small development team, conducted peer code reviews, and contributed to backend systems using SQL/NoSQL databases and FastAPI-based RESTful APIs.
Dolphant Group LLC
Remote
2025/04 - 2025/06
Fine-tuned open-source large language models (LLMs) on domain-specific datasets using QLoRA and Reinforcement Learning from Human Feedback (RLHF) on AWS. Developed scalable RESTful APIs with FastAPI to integrate LLMs and other backend services.
The Social Purpose Trust
Remote
2025/02 - 2025/04
Developed AI-driven models for climate solutions, including predictive analytics for environmental monitoring and impact assessment. Collected, preprocessed, and augmented climate-related datasets to improve model performance. Automated climate data analysis and reporting, integrating solutions into the Surya Sangam Web Portal to support sustainability initiatives.
Developed an AI agent that conducts interviews with users based on there resume and job description. The agent uses a LLM to generate interview questions, both coding and experience based, and evaluates the user's responses.
Python
Langgraph
Langchain
FastAPI
PostgresSQL
Llama-3.3-70b-specdec
Snake Game with AI combines the classic Snake game with an AI agent trained using reinforcement learning. It features both manual and AI-controlled gameplay, customizable settings, score tracking, and real-time plotting of training progress. The AI uses a Q-network built with PyTorch to navigate the game.
Python
PyTorch
Pygame
NumPy
Matplotlib
Developed a web-based search summarizer using Google Custom Search API, Beautiful Soup, and Langchain for conversational retrieval. Implemented ChromaDB for vector storage and added a history feature with SQLite to track and revisit user queries.
Python
Langchain
Streamlit
Langchain-Huggingface
SQLite
ChromaDB
Mistral-7B-v0.3
Developed Python scripts for automated data collection using Google Custom Search API and built an LLM dataset parser to generate a QA dataset. Fine-tuned an open-source Hugging Face model with the custom dataset to optimize performance. Utilized libraries like Beautiful Soup, PyPDF2, and Python-dotenv for auxiliary tasks.
Python
Transformers
TRL
Bitsandbytes
Accelerate
Google Colab
Epsilon is a 2D physics engine for reinforcement learning, simulating interactions with shapes like rectangles and circles. It features collision detection, response, and basic force application. Currently in development, it aims to improve collision handling and integrate more fully with RL, though issues with circle and rod collisions remain.
Python
Pygame