About Me
I'm an AI/ML developer passionate about building intelligent systems using Large Language Models (LLMs) and advanced AI techniques. I specialize in designing and implementing Retrieval-Augmented Generation (RAG) systems that combine the power of LLMs with domain-specific knowledge bases.
My expertise spans agentic AI frameworks that enable autonomous decision-making, vector database optimization for semantic search, and end-to-end AI pipeline development. I build production-ready AI solutions using frameworks like LangChain, LlamaIndex, and vector databases such as Pinecone and Weaviate. I'm passionate about creating AI systems that are efficient, scalable, and powerful.
Featured Projects
RAG-Powered Document QA System
End-to-end Retrieval-Augmented Generation system using LangChain and Pinecone. Indexes multiple document types, enables semantic search, and generates contextually accurate answers using GPT-4.
Agentic AI Research Assistant
Autonomous AI agent using ReAct framework that researches, synthesizes, and summarizes information. Integrates with web search APIs, maintains conversation history, and generates comprehensive research reports.
Vector Database Search Engine
High-performance semantic search engine using Weaviate and embedding models. Implements hybrid search combining lexical and semantic approaches for optimal retrieval accuracy and speed.
Multi-Agent Collaboration Framework
Sophisticated multi-agent system using the Swarm framework with specialized agents for planning, execution, and verification. Implements inter-agent communication and dynamic task delegation.
Fine-tuned LLM for Domain Tasks
Specialized LLM fine-tuning pipeline for domain-specific applications. Implements parameter-efficient methods (LoRA), evaluates performance metrics, and deploys optimized models with reduced inference latency.
Intelligent Data Pipeline
End-to-end data processing and AI pipeline with automated feature engineering, model selection, and optimization. Integrates with vector databases for efficient feature storage and retrieval.
Certifications & Achievements
HTML, CSS, JavaScript Web Dev
Johns Hopkins University
Proficiency: 91%
Comprehensive frontend development with HTML5, CSS3, and modern JavaScript.
Machine Learning with Python
IBM
Proficiency: 90%
Python-based machine learning algorithms and implementation.
Canva for Work
Canva Design School
Proficiency: 97%
Professional design tools and creation with Canva platform.
Exploratory Data Analysis
IBM
Proficiency: 89%
Data analysis techniques for machine learning preprocessing.
Data Structures
UC San Diego
Proficiency: 88%
Fundamental data structures and algorithm design patterns.
Algorithmic Thinking (Part 1)
Rice University
Proficiency: 94%
Algorithmic problem solving and computational thinking basics.
Algorithmic Thinking (Part 2)
Rice University
Proficiency: 95%
Advanced algorithms and complex problem-solving techniques.
Back-End Development with .NET
Microsoft
Proficiency: 93%
Backend development using Microsoft .NET framework.
Building Generative AI Applications
IBM
Proficiency: 92%
Building AI-powered applications using Python and generative models.
Technical Skills
LLMs & Generative AI
RAG & Vector Databases
Agentic AI
AI/ML Frameworks
Technologies & Tools
Get In Touch
Let's Work Together
Have an AI/ML project or collaboration opportunity? I'd love to hear from you!