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aadityaS18/README.md

Hi 👋, I'm Aaditya Shankar

AI / ML Engineer · Full-Stack Developer · Intelligent Systems Builder

Turning data, models, and systems into real-world products.


👨‍💻 About Me

  • 🎓 Computer Engineering undergraduate at Trinity College Dublin (Class of 2027)
  • 🤖 Focused on AI/ML, LLMs, RAG systems, and applied intelligence
  • 🛠️ Builder of end-to-end systems — backend, AI pipelines, frontend, and hardware
  • 📈 Interested in scalable AI systems, experimentation, and real-world deployment

🧠 Research & Experimental Systems

📚 Personalized Tutor — Retrieval-Augmented Generation (RAG)
Python · LangChain · Cohere · FAISS · Ollama

  • Designed a topic-wise PDF ingestion and semantic retrieval pipeline
  • Implemented embedding-based search over educational content
  • Generated grounded, source-aware answers using LLMs
  • Focused on modularity, explainability, and extensibility

🤝 EkaImpact NGO AI Chatbot
Python · Web Scraping · LangChain · Cohere · Mistral

  • Built and deployed an AI chatbot for a live NGO website
  • Automated knowledge base creation via full-site scraping
  • Reduced manual query handling and improved visitor engagement

🚀 Applied AI, ML & Engineering Projects

📈 JBAC AI Trading Coach
Python · FastAPI · AWS · Financial Data · ML

  • Developed an AI-powered trading assistant providing strategy insights and market context
  • Designed modular backend services for data ingestion, analysis, and response generation
  • Focused on explainability and disciplined decision support rather than black-box signals

✋ Sign Language to Speech Translator (In Progress)
Python · OpenCV · MediaPipe · TTS

  • Real-time hand gesture recognition for translating sign language into spoken output
  • Exploring temporal gesture modeling and computer vision pipelines

📊 AI-Powered Job Search Assistant
Python · Web Scraping · Gradio · IBM watsonx

  • Built an intelligent platform to match users with relevant job opportunities
  • Automated job data extraction and relevance-based ranking

🏏 Real-Time Cricket Score & Win Probability Dashboard
Python · Flask · APIs · Machine Learning

  • Computed dynamic win probabilities using live match data
  • Applied statistical models to update outcomes in real time

🤖 PID-Controlled Autonomous Buggy
Arduino · C++ · PID Control · Sensors

  • Implemented closed-loop speed control using PID algorithms
  • Integrated ultrasonic sensing and GUI-based control

🚗 Car Price Prediction System
Python · Machine Learning · Regression Models

  • Trained and evaluated ML models to predict vehicle prices
  • Performed feature engineering and model comparison

🏠 House Price Prediction System
Python · Machine Learning · Data Analysis

  • Built predictive models using historical housing data
  • Focused on data preprocessing and performance evaluation

🎙️ Gender Voice Classification
Python · Machine Learning · Audio Features

  • Classified speaker gender using extracted voice features
  • Explored classical ML pipelines for audio-based classification

🛠️ Tech Stack

💻 Languages

🤖 AI / ML & Data

🌐 Web & Backend

⚙️ Systems, Hardware & Tools


🎯 Core Strengths

  • Applied AI & ML system design
  • RAG pipelines & LLM integration
  • Backend & API engineering
  • Algorithmic problem solving
  • End-to-end project ownership

📫 Connect


Pinned Loading

  1. knowledge-graph knowledge-graph Public

    Python

  2. car_price_predict car_price_predict Public

    Python

  3. portfolio portfolio Public

    CSS

  4. budget-tracker budget-tracker Public

    https://budget-tracker-twnz.vercel.app/

    JavaScript

  5. academiax academiax Public

    TypeScript 1

  6. AnubhavChoudhery/Job-Prep-Agent AnubhavChoudhery/Job-Prep-Agent Public

    Python 2 1