About
Highly motivated Machine Learning Engineer with expertise in Retrieval-Augmented Generation (RAG), multi-agent AI systems, and knowledge graphs. Proficient in Python, LangChain, LangGraph, and vector databases, with demonstrated experience optimizing Large Language Models (LLMs) and enhancing data retrieval efficiency. A fast and eager learner committed to exploring new AI advancements and developing innovative solutions for real-world applications.
Work
→
Summary
Contributing to the development and optimization of AI solutions, focusing on multi-agent systems, RAG pipelines, and LLM performance.
Highlights
Developed and implemented multi-agent AI workflows utilizing LangGraph for advanced automation.
Engineered high-performance Retrieval-Augmented Generation (RAG) pipelines and deployed scalable knowledge graphs, significantly reducing data retrieval time by 60% and enhancing semantic search accuracy by 40%.
Optimized vector search algorithms and prompt engineering techniques, leading to a 25% improvement in Large Language Model (LLM) accuracy.
→
Summary
Gained hands-on experience in developing AI-powered tools and systems, focusing on computer vision, natural language processing, and multimodal analysis.
Highlights
Developed a real-time video background replacement tool leveraging MediaPipe, OpenCV, and FFmpeg for enhanced virtual communication.
Constructed a multimodal confidence predictor, integrating neural networks (LSTM-CNN) for video and audio sentiment analysis, achieving an 85% accuracy rate.
Designed and implemented an AI-powered resume parsing and scoring tool using LangChain and advanced retrieval-based techniques.
→
Summary
Contributed to data analysis and machine learning initiatives within the power and utilities sector.
Highlights
Conducted comprehensive trend analysis on power and utilities data using Power BI, significantly enhancing dashboard usability and increasing operational efficiency by 30%.
Developed and deployed a Machine Learning (ML) model for power metrics prediction, improving forecasting accuracy by 20% and optimizing energy management strategies.
Skills
Programming Languages
C++, Python, MATLAB.
Databases
MySQL, Vector Databases.
AI/ML Frameworks & Libraries
TensorFlow, LangChain, LangGraph, NetworkX, GANs, AI Agents, Fine Tuning LLMs, PyTorch, OpenCV, MediaPipe, FFmpeg.
Data Analysis & Tools
Data Structures, Data Analysis, Machine Learning, Power BI, LSTM-CNN, YOLO.
Hardware/Embedded Systems
Arduino.