Open to opportunities

Ansh Sharma

@anshsharma1

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AI & Data Science B.Tech student building production ML and REST APIs.

India

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What I'm looking for

I’m looking for AI/ML, backend engineering, or data science internships at startups and growth-stage tech companies—where I can ship production REST APIs, deploy ML models, and build strong data analysis pipelines.

I’m a second-year B.Tech student in Artificial Intelligence and Data Science at NIT Delhi, and I build full-stack AI applications with production-ready REST APIs. I focus on deploying ML models end-to-end and turning data into reliable pipelines for real use cases.

In my projects, I served real-time LSTM predictions through FastAPI endpoints with clean backend/frontend separation, and I integrated Supabase (PostgreSQL) for JWT authentication and persistent prediction history. I also built a Flask-based Student Attendance Pattern Analyzer with CSV upload, automated validation, EDA, and Matplotlib dashboards to deliver actionable insights.

Experience

Work history, roles, and key accomplishments

StockSense AI (LSTM API)

StockSense AI

Jan 2025 - Present (1 year 5 months)

Built an LSTM-based stock price prediction model in PyTorch and exposed real-time inference via FastAPI REST endpoints with JSON responses. Implemented Supabase (PostgreSQL) JWT authentication and persistent storage for prediction history, and deployed the backend on Railway and frontend on Vercel.

fastAPI PyTorch REST APIs React TypeScript Supabase Pandas NumPy JWT

Attendance Pattern Analyzer

Student Attendance Pattern Analyzer

Jan 2024 - Present (2 years 5 months)

Developed a Flask REST API to upload attendance CSV files with automated data validation and processed multi-week datasets for 200+ student records. Produced EDA dashboards (rates, 75% threshold flags, and weekly engagement trends) using Pandas and Matplotlib to automate reporting workflows.

Flask REST APIs CSV Pandas Data Validation Matplotlib Data Visualization Time Series Analysis

Education

Degrees, certifications, and relevant coursework

National Institute of Technology Delhi

Bachelor of Technology (B.Tech), Artificial Intelligence and Data Science

2024 -

Grade: CGPA: 8.73 / 10

Activities and societies: Built StockSense AI (LSTM + FastAPI REST + React + Supabase) and Student Attendance Pattern Analyzer (Flask + Pandas + Matplotlib) with automated CSV validation, EDA, and dashboards.

B.Tech in Artificial Intelligence and Data Science at NIT Delhi. Projects include an LSTM-based stock price prediction system served via FastAPI REST APIs and a Flask-based attendance analyzer with data validation, EDA, and visual dashboards.