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Aadi-112/README.md

Hi, I'm Aadrit Sharan

AI / Machine Learning | GenAI Engineer (Aspiring)

B.Tech CSE @ IIIT Sonepat (2026) · AI/ML & GenAI · India

I build production-oriented AI systems spanning machine learning, deep learning, computer vision, and multi-agent GenAI pipelines.

Tech Stack

Programming

Python C++ Java SQL

AI / ML / GenAI

  • Machine Learning & Deep Learning
  • Multi-Agent Orchestration (LangGraph)
  • Retrieval-Augmented Generation (RAG)
  • Transformers & LLMs (LLaMA 3.3)
  • Fine-Tuning & LoRA

Computer Vision

  • YOLOv8 / YOLOv11
  • OpenCV
  • Image Classification & Object Detection

Frameworks & Tools

PyTorch HuggingFace Streamlit Docker

  • VectorDB: FAISS, Chroma
  • APIs: FastAPI, Flask
  • Deployment: Streamlit Cloud
  • Version Control: Git & GitHub

Featured Projects

Travel Planner with Multi-AI Agents (GenAI)

Tech: LangGraph · LangChain · GROQ API · Streamlit

  • Engineered a multi-agent GenAI system for dynamic travel itinerary generation
  • Orchestrated autonomous agents using LangGraph with advanced prompt engineering
  • Integrated LLaMA 3.3 (70B) via GROQ for high-quality responses
  • Deployed securely on Streamlit Cloud with secrets management

PlateWatch — License Plate Detection (Computer Vision)

Tech: PyTorch · YOLOv11 · OpenCV · Roboflow

  • Trained YOLOv11 on ~10,000 images for license plate detection
  • Achieved mAP@0.5 = 0.96, Precision = 0.97, Recall = 0.91
  • Built a Streamlit app for real-time inference
  • Use cases: smart cities, traffic surveillance, toll automation

Social Media Impact Analysis (Research Project)

Tech: PyTorch · Scikit-learn · Pandas

  • Designed a Multi-Task Learning (MTL) DNN with hard parameter sharing
  • Simultaneously predicted:
    • Productivity (Regression)
    • Stress (Classification)
    • Job Satisfaction (Classification)
  • Processed 30,000 records with Z-score normalization
  • Outperformed baseline Random Forest (R² = 0.82)

Core Focus Areas

  • End-to-end ML & DL pipelines
  • Multi-agent GenAI systems
  • Computer vision model training & deployment
  • Explainability & evaluation
  • Scalable AI application design

Certifications

  • Deep Learning Specialization — Andrew Ng
  • Generative AI with Large Language Models

Leadership & Achievements

Training & Placement Cell – Student Coordinator

  • Coordinated placement & internship drives
  • Organized industry talks and student–company interactions

Highlights

  • Assisted research on Energy-Efficient Routing in WSNs
  • Solved 300+ DSA problems with consistent practice

Contact

Pinned Loading

  1. Travel-Planner-with-Multi-AI-Agents Travel-Planner-with-Multi-AI-Agents Public

    A personalized travel itinerary planner built using LangGraph, leveraging multiple collaborative AI agents to generate customized trip recommendations based on user preferences, constraints, and re…

    Python

  2. Productivity-Stress-and-Job-Satisfaction-analysis-on-social-Media-usage Productivity-Stress-and-Job-Satisfaction-analysis-on-social-Media-usage Public

    Analysis of Social Media Usage and its Impact on Productivity, Stress, and Job Satisfaction using Multi-Task Learning

    Jupyter Notebook

  3. conversation-evaluation conversation-evaluation Public

    Production-ready benchmark for scoring conversation turns across multiple facets

    Python

  4. interactive-Attendance-Manager interactive-Attendance-Manager Public

    A web-based student attendance management system built with HTML, CSS, and JavaScript. It features an interactive Tinder-style swipe interface that makes taking attendance faster, easier, and more …

    JavaScript

  5. Talent-Flow Talent-Flow Public

    Talent-Flow is a React-based candidate management tool built for HR teams to manage Jobs, Candidates and Assessments. It uses a client-side mock API (MirageJS ) and local persistent storage (Indexe…

    JavaScript