AI/ML Engineer
I am a Computer Science and Engineering student and an AI & Machine Learning Engineer with a strong foundation in machine learning, data science, and full-stack application development. I have hands-on experience in building and deploying real-world AI solutions for practical business use cases.
My areas of expertise include Machine Learning, Deep Learning, NLP, Generative AI, Large Language Models (LLMs), AI Agents, and Agentic AI. I build end-to-end AI systems—from data processing and model development to APIs and deployment—with a focus on scalable, production-ready architectures.
I enjoy solving real-world problems through structured thinking and system design, and I aim to deliver measurable impact within industry-driven, innovative technology teams.
| Project | Description | Tech Stack |
|---|---|---|
| Roller Defect Detection | Computer vision system to detect surface defects in industrial rollers using deep learning | Python, OpenCV, YOLO, PyTorch |
| HyperVerge | Built two production-oriented ML models: (1) a loan repayment prediction model to assess whether a user can repay a loan, and (2) a time-series forecasting model using Facebook Prophet to predict future financial transactions | Python, Scikit-learn, Pandas, Facebook Prophet, Time Series Analysis |
| Inference Engine System | Designed an inference engine with model routing, fallback logic, benchmarking, and orchestration | Python, FastAPI, PostgreSQL, Redis |
| Sales Price Prediction | Regression-based forecasting system to predict sales prices from historical data | Python, Scikit-learn, Pandas, Matplotlib |
| Dog Breed Classification | Deep learning-based image classification system to identify dog breeds | Python, TensorFlow / PyTorch, CNN |
| MallData-Customer-Segmentation | Customer segmentation using unsupervised learning to identify purchasing behavior patterns | Python, Scikit-learn, K-Means, Pandas |
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🎓 B.E – Computer Science and Engineering, Kumaraguru College of Technology CGPA: 8.6
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🧠 AI‑ML Virtual Internship – Google for Developers
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📘 Artificial Intelligence, Machine Learning & Data Science Bootcamp – Udemy (Hands‑on projects in ML, DL, and applied AI systems)
- 🏅 MGS Award for the academic year 2023 – 2024
- 🏅 Secured internship opportunity through InnovateX Hackathon
- 🧑🏫 Active member of iQube – AI Domain
- 🚀 Built and deployed multiple end‑to‑end AI projects
- Generative AI & LLMs
- AI Agents & Decision Systems
- Inference Optimization
- System Design for AI Products
💡 Open to collaborating on AI systems, GenAI tools, and research-driven projects.
- 🔗 LinkedIn: https://www.linkedin.com/in/abinesh-b-1b14a1290/
- 💻 LeetCode: https://leetcode.com/u/abinesh_06/
- 📧 Email: abineshbalasubramaniyam@gmail.com
⭐ Feel free to connect, collaborate, or explore my repositories!