π― Aspiring Backend & MLOps Engineer | π‘ AI & ML Enthusiast | π Project-Driven Learner
I'm a AI/ML student passionate about building intelligent and scalable systems using Machine Learning, Backend APIs, and Cloud-native tools.
- π§ Skilled in Python, FastAPI, Docker, SQL, and MLOps practices
- π Interested in solving real-world problems with intelligent APIs and automation
- π Always learning β from cloud cost optimization to secure ML deployments
- π οΈ Focused on building deployable, production-ready tech from scratch
Recommends optimal AWS resources using user-defined workload, traffic, and budget. Combines ML prediction with a rule-based fallback.
Tech: FastAPI, Docker, Render, ML, Logging, Secure Auth
Detects phishing emails in real-time using Random Forest and TF-IDF. Production-ready with logging, auth, and containerization.
Tech: FastAPI, Scikit-learn, Docker, Render, Logging
Desktop app using inpainting techniques to remove unwanted objects from images through drag-and-select.
Tech: OpenCV, Tkinter, NumPy
Languages: Python, Java, SQL
Frameworks: FastAPI, Django, Express.js
DevOps & Cloud: Docker, Render, Git
Databases: MySQL, MongoDB
ML Tools: Scikit-learn, TensorFlow (basic)
Frontend (basic): React.js, Bootstrap
Visualization: Power BI
- πΌ LinkedIn
- π View My Resume
- π¬ Always open to learning, building, and collaborating!