What I'm Doing Now

Pursuing M.Tech in Machine Learning & Artificial Intelligence at LPU (87.2%). Focused on deep learning research for time-series forecasting and computer vision applications in environmental monitoring.

Building this portfolio from scratch using pure HTML, CSS, and JavaScript — no frameworks. Adding blog posts, case studies, and interactive features as they're completed.

Both ICIPTM papers accepted and in-press on IEEE Xplore: (1) AI/ML review for mosquito species ID, and (2) Ensemble deep learning for Zika vector identification. Awaiting final DOI assignment.

Writing technical deep-dives on the LSTM weather forecasting project and NWP bias correction work — translating IEEE paper content into accessible blog posts with working code examples.

Diving deep into Large Language Models — exploring prompt engineering, RAG pipelines, and building multi-agent workflows using LangChain and LangGraph for autonomous task execution.

Learning end-to-end MLOps practices including CI/CD pipelines for ML, model versioning with MLflow, containerization using Docker, and deploying scalable inference APIs with FastAPI.

• Complete M.Tech thesis and final viva
• Publish 3 detailed blog articles from IEEE paper work
• Deploy Face Authentication system as live demo
• Start job search — targeting ML Engineer / Data Scientist roles
• AWS certification prep