👋 Hi, I'm Sukrit Goswami
🎯 Aspiring Data Scientist | ML & AI Enthusiast | Backend Developer (FastAPI)

I enjoy learning how AI and Machine Learning can solve real-world problems.
Recently, I had the opportunity to work on a RAG-based LLM project during HackTint 2025, which strengthened my interest in applied AI.

Currently, I’m expanding my skills in ML fundamentals, model tuning, and backend development.

🤖 Worked on a RAG-based LLM assistant as part of HackTint 2025

🛡️ Currently building an Anti-Cheat Simulator, focused on behavior analytics and anomaly detection

🌱 Learning Scikit-learn, model evaluation, and FastAPI-based API development

🔧 Curious about how data-driven systems work under the hood and how to make them efficient

🛠️ Tech Stack

Languages: Python, SQL
ML & Data: NumPy, Pandas, Scikit-learn, Matplotlib
Backend: FastAPI, REST APIs
Tools: Docker, WSL, Git, GitHub, Postman
Extras: Streamlit, Vector Databases (for RAG), JSON APIs

🏆 Experience

Built a RAG-powered campus assistant using embeddings + semantic search

Created ML pipelines for classification, regression, and data cleaning

Improved backend routing and API workflows in FastAPI

Worked on multiple learning-focused projects to strengthen ML fundamentals

🔭 Current Projects

🛡️ Anti-Cheat Simulator
A simulator that uses behavior patterns and anomaly detection concepts to understand cheating scenarios.

🤖 Campus RAG Assistant
Retrieval-augmented assistant built during HackTint using vector embeddings and LLM reasoning.

📚 ML Practice Projects
Exploring algorithms, model tuning, and evaluation techniques.

💬 Ask Me About

Python for Data Science

Machine Learning basics & model development

FastAPI and building backend APIs

RAG/LLM concepts

Dataset preprocessing & visualization

🎓 Education

B.Tech – CSE
a student exploring AI, ML, and backend systems.

⚡ Fun Fact

I often learn by breaking things first… and fixing them later 😄
I like turning simple ideas into working AI prototypes.