I'm Nasim — a final-year IT student driven by Machine Learning, Deep Learning, and MLOps.
I focus on building data-driven models, designing robust ML workflows, and turning experiments into reliable systems.
I enjoy working on:
- 🧠 Machine Learning & Deep Learning models across diverse problem domains
- 🔧 End-to-end ML pipelines — data preprocessing, training, validation, and inference
- 📊 Experimentation & optimization — tuning, evaluation, and improving model robustness
I also explore the engineering side of ML:
- 🔧 MLOps fundamentals — Docker, CI/CD, experiment tracking, automated training
- ☁️ Cloud basics — AWS (S3, EC2, ECR), orchestrated pipelines
These are skills I'm actively developing to push ML models closer to production.
And occasionally:
- 🔌 AI-IoT (lightweight models on ESP32/embedded devices) — bringing small DL models to the edge.
My strength and identity lie primarily in ML & DL, supported by evolving MLOps and cloud skills.
"In the vast cathedral of code, each repo is but a flame against the endless night."