π AI & DS Student ~ Quant Enthusiast ~ Backend Logic ~ Cloud Explorer
From manually analyzing stock chartsβ¦ to building scalable backend systems and exploring Machine Learning β my journey into data and logic is just starting!
π B.Tech in Artificial Intelligence & Data Science π« Sri Krishna College of Engineering and Technology
- Architect efficient backend systems using Python and SQL (FastAPI & SQLAlchemy).
- Apply Mathematical Logic and Statistical Probability to software problems.
- Actively manage a personal financial portfolio (Small Caps, ETFs, & Index Funds) using data-driven insights.
- β‘ High-Performance Backend β Built a robust CRUD system using FastAPI + SQLAlchemy + SQLite to handle complex data relationships.
- π Quant & Finance β Passionate about Quantitative Analysis. I manage my own portfolio and am learning to automate analysis using Python.
- βοΈ Cloud & ML β Currently pivoting from local scripts to Cloud Computing and Machine Learning Pipelines.
- π’ Python (Pandas, NumPy)
- π’ DSA
- π’ Backend Architecture (FastAPI)
- π’ Cloud Computing (AWS/Azure)
- π’ Mathematics & Probability
- π’ Machine Learning Algorithms
| Python | SQL | Git |
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I'm always open to discussing Finance, ML, or backend engineering.
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