I am a passionate AI Developer and Machine Learning Engineer focused on building intelligent, data-driven systems. I work across the full machine learning lifecycle — from data engineering and model development to evaluation, optimization, and deployment using Docker, GitHub, and Kubernetes.
My expertise spans deep learning, NLP, computer vision, and predictive modeling using Python, TensorFlow, PyTorch, NumPy, and Pandas.
This profile highlights my strongest AI/ML projects and technical achievements.
A machine learning–powered platform designed to identify alternative therapeutic applications for existing drugs.
Uses molecular similarity, biological pathway insights, and predictive models for repurposing analysis.
Deep learning workflows for protein sequence design, structure prediction, and stability optimization.
Implements modern computational biology techniques for generating and evaluating new protein variants.
⚡ ZenFlow
A workflow and productivity enhancement platform integrating automation, task intelligence, and analytics.
Designed with clean backend architecture and ML-driven recommendation components.
A robust fraud detection pipeline using feature engineering, imbalance handling, and ensemble ML algorithms (Random Forest, XGBoost, etc.).
Built to classify fraudulent transactions with high accuracy on real-world datasets.
Deep learning system for classifying retinal fundus images into diabetic retinopathy severity levels.
Includes preprocessing pipelines, augmentation, CNN architecture experimentation, and performance optimization.
📄 Research Paper:
"Enhancing Diabetic Retinopathy Detection Using Optimized Deep Learning Techniques with ResNet"
Published in IJCSE, Vol.13, Issue 4, April 2025
🔗 Read here: https://www.ijcseonline.org/full_paper_view.php?paper_id=5792
- Python, C++, R
- TensorFlow, PyTorch, Keras, Scikit-Learn
- NumPy, Pandas
- Matplotlib, Seaborn, Plotly
- CNNs, RNNs, Transformers
- NLP Pipelines, Generative AI
- AWS, GCP
- Docker, Kubernetes
- SQL (MySQL, PostgreSQL), MongoDB
- Git & GitHub
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- LinkedIn: https://www.linkedin.com/in/tansugangopadhyay/
- Kaggle: https://www.kaggle.com/tansugangopadhyay
- GitHub: Open to collaboration or discussions via issues or pull requests.
⭐ Thanks for visiting! Feel free to explore my projects or reach out for collaborations in AI, ML, and research.