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Sathushana/README.md

πŸ‘‹ Hi there, I'm Sathushana Ganeshalingam

πŸŽ“ Final Year Undergraduate
πŸ“Š BSc (Hons) in Statistics and Operations Research
πŸ… First Class Honours – University of Peradeniya
πŸ’Ό Associate AI/ML Engineer


🌟 About Me

I am a highly motivated and curious undergraduate passionate about Machine Learning, Artificial Intelligence, Data Science, and Statistical Analysis. With a solid academic background and hands-on experience through an AI/ML, I aim to solve real-world problems through data-driven solutions and intelligent systems.


🧠 Skills

  • Languages: Python, SQL, R, TypeScript/JavaScript
  • AI & LLMs: LLM orchestration, multi-agent systems, prompt engineering, Ollama, GPT-4, OCR pipelines
  • Machine Learning: Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, PySpark, Deep Learning, Statistical Modeling, Optimization
  • Computer Vision: MediaPipe, ViT, EfficientNet
  • Backend: FastAPI, SQLAlchemy, REST APIs, PostgreSQL, MySQL, MongoDB
  • Frontend & Mobile: Next.js, React, Tailwind CSS, React Native, Expo
  • Tools & Deployment: Git, Railway, EAS, Matplotlib, Seaborn, Excel
  • Soft Skills: Problem-Solving, Collaboration, Adaptability

πŸ† Experience

Associate AI/ML Engineer
Icon Global Digital Β· Feb 2026 – Present

  • Built multi-agent AI systems with LLM orchestration: intent classification, sentiment analysis, domain routing and personalization for conversational AI
  • Added computer vision features (landmark detection, real-time image processing) to production REST APIs
  • Built cross-platform mobile apps with React Native and Expo: OAuth, payment integration, and CI/CD with EAS
  • Built Next.js 14 dashboards (App Router, Tailwind, Zustand) with role-based access control and data visualization
  • Developed async Python backends with FastAPI and SQLAlchemy (PostgreSQL): analytics APIs, revenue reporting, multi-currency handling

AI/ML Engineer Intern
Hexabins Β· Jun 2025 – Jan 2026

  • Designed, tested and implemented machine learning models and algorithms with the team
  • Data analysis, preprocessing and feature engineering to improve model performance
  • Helped build scalable AI solutions and supported deployment and monitoring of models in production
  • Took part in code reviews, brainstorming sessions and knowledge-sharing

AI/ML Engineering Intern
OXZON AI

  • Built and trained machine learning and deeplearning models
  • Applied data preprocessing and feature engineering techniques

πŸ“ˆ Goals

I’m currently seeking opportunities to grow as a Machine Learning Engineer ,AI/ML Engineer, Data Scientist, or AI Researcher, where I can contribute meaningfully and continue learning in a dynamic environment.


Pinned Loading

  1. Speech-Recognition-System Speech-Recognition-System Public

    Create a python program for Speech Recognition

    Python

  2. Implement-LLM-Soultion-for-Medical-Report-Summarization Implement-LLM-Soultion-for-Medical-Report-Summarization Public

    Implement medical report summarization in LLm

    Jupyter Notebook

  3. Brain-Tumour-Classification Brain-Tumour-Classification Public

    develop a deep learning and pretrain model for classify that brain tumour

    HTML

  4. Chatbot-Ordered-Pizza Chatbot-Ordered-Pizza Public

    Create My First Chatbot Ordered Pizza using Dialogflow

  5. Simulated-Annealing Simulated-Annealing Public

    Developed the Algorithm For Simulated Annealing

    Jupyter Notebook

  6. MiniHackathon_2023 MiniHackathon_2023 Public

    This repository contains the code and documentation for the Minihackathon 2023 competition, coordinated by the Stat Circle of University of Colombo

    Jupyter Notebook