This is my portfolio website.

Successfully developed AdAstra Marketing Intelligence Campaign Optimization Engine, a next-generation AI system using LangGraph that transforms raw campaign data into strategic, revenue-driven deci…

Successfully developed a Healthcare AI Clinical Decision Support System, leveraging LangGraph, GPT-4o-mini, and PubMed to deliver real-time patient risk stratification, evidence-based treatment rec…

Successfully developed an AI-powered Investment Portfolio Optimization Workflow using LangGraph that infers user risk profiles, selects tickers, fetches market data, and simulates & optimizes portf…

Successfully developed a state-of-the-art AI-driven credit underwriting engine using LangGraph and FastMCP that orchestrates multiple specialized agents to evaluate risk, detect fraud, and generate…

Successfully developed a cutting-edge, intelligent, and adaptive learning platform using LangGraph that personalizes lessons, exercises, and assessments in real-time, seamlessly integrating AI-driv…

Successfully developed a mini-GPT model from scratch using PyTorch to provide auto completion of the sentences.

This repository contains hands-on notebooks and end-to-end examples demonstrating how to build Generative AI and RAG (Retrieval-Augmented Generation) applications using LlamaIndex.

This repository covers all the code materials covered within Jose Portilla's Langchain with Python Bootcamp on Udemy.

This repository contains the implementation of YOLOv26 l-seg model for pothole image segmentation.

This repository contains LangGraph tutorial code for building complex LLM-powered applications. It showcases practical examples of using LangGraph to manage multi-step workflows and stateful logic …

Successfully developed a real-time AI backend using FastAPI and WebSockets with low-latency LLM streaming. Implements conditional tool calling, multi-turn state management, and Supabase-based persi…

Successfully developed a Travel Planner Assistant powered by LangGraph and MCP, integrating real-time flights, hotels, weather, places, and timezone tools. Features modular MCP servers, OpenAI agen…

Successfully developed a real-time AI-powered Insurance Advisor CoPilot that converts customer queries into actionable insights, guiding users effortlessly through insurance coverage. It delivers i…

Successfully established a robust Pistol Object Detection system using Faster R-CNN with ResNet50 RPN, capable of accurately identifying and localizing firearms in images. Integrated the model into…

Successfully developed a CNN-based image classification model to accurately identify and categorize various animal species.

Successfully developed a CNN-based model to predict age groups such as young, middle and old from facial images, enabling accurate age classification for applications in security, personalization, …

Successfully developed a Multi-Source Knowledge Intelligence Agent - an advanced agentic AI application that integrates multi-format document and web data processing with LLM-powered analytics and …

An end-to-end AI Financial Research & Advisory Agent built using LangGraph, LLMs, and machine learning for automated market analysis, compliance validation, and investment advisory. Integrates real…

This repository contains an implementation of the Q-learning algorithm using Gymnasium environments. It demonstrates training, evaluation, and visualization of an agent’s policy in a simple reinfor…

This repository covers extensive tutorials on how to integrate LangSmith with LangChain with LangGraph to incorporate observability, monitoring, alerting, evaluation, etc. within complex LLM workfl…

This project encompasses end-to-end ETL and ML pipeline development. Data ingestion from TMDB API covered top-rated, current, upcoming, and popular movies with genres. Performed EDA to derive sever…

Successfully performed a comprehensive analysis of trader behavior in relation to Bitcoin market sentiment (Fear vs. Greed) using real-world trading and sentiment datasets. Key data-driven insights…