Core domains
across AI & software
I BUILD INTELLIGENT DIGITAL SYSTEMS.
Developer and AI/ML researcher focused on reliable machine learning, backend systems, cloud deployment, and products that feel exceptionally polished.
ENGINEERING × RESEARCH × DESIGN
I turn complex ideas into clear, useful systems.
I’m Sourav Saha, a Computer Science graduate who enjoys working across intelligent systems, backend engineering, and deployment.
My work spans explainable deep learning for medical imaging, energy-demand forecasting, production APIs, and practical cloud infrastructure. I care about strong engineering fundamentals, measurable results, and interfaces that make sophisticated systems feel simple.
Predictors engineered
in one forecasting system
Best test accuracy
in CKD experiments
Projects built to solve real problems.
MEDICAL AI · COMPUTER VISION
SGA-XTBNet 3.1
A segmentation-guided explainable deep-learning architecture for reliable tuberculosis detection from chest X-rays using anatomical masking and attention guidance.
FORECASTING · MLOPS
Dhaka Energy Forecasting API
Seven-day recursive electricity-demand forecasting with an ensemble of statistical and machine-learning models, packaged behind a production FastAPI service.
ACCURACY
MACHINE LEARNING · HEALTHCARE
CKD Prediction Study
Comparative machine-learning study for chronic kidney disease prediction, including ensemble models and feature-importance analysis.
MY TOOLKIT
A stack built for end-to-end execution.
AI / ML
Deep learning, computer vision, explainable AI, forecasting, model evaluation
Backend
Python, Django, FastAPI, REST APIs, data pipelines, system architecture
Cloud
AWS, EC2, S3, Docker, deployment workflows, production-oriented infrastructure
Research
Experiment design, model comparison, scientific writing, visualization, analysis
The best technology disappears behind a product that feels obvious, fast, and trustworthy.
HAVE AN IDEA?
Let’s build something remarkable.
I’m interested in AI/ML, backend engineering, research collaborations, and ambitious technical products.
your-email@example.com ↗