Available for opportunities

Hetal Sharma

Full Stack Developer // AI/ML Enthusiast

Building scalable web applications and AI-powered solutions — bridging modern backend systems with intelligent features to create real-world impact.

⬡ View Projects ✉ Contact Me

8.31+

CGPA

2×

Internships

Projects

2×

Certifications

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01 — about_me

Who I Am

I'm a B.Tech CSE (AI & ML) student at Malla Reddy University with a strong passion for building things that work — and work well. My focus lies at the intersection of full-stack development and artificial intelligence.

Whether it's architecting a fast backend with FastAPI, crafting responsive UIs with Next.js, or training machine learning models — I enjoy the full depth of the stack. I'm particularly drawn to NLP, LLMs, and RAG-based systems that bring intelligence into everyday applications.

I believe in building software that solves real problems. Every project is an opportunity to learn something new, ship something clean, and create something useful. Currently exploring the frontiers of agentic AI systems and scalable backend design.

🎓

Education

B.Tech CSE (AI & ML) Malla Reddy University

📊

Academic Performance

CGPA: 8.31 Consistent academic excellence

💡

Focus Areas

Full Stack + AI/ML Backend systems · LLMs · NLP

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Location

Hyderabad, India Open to remote opportunities

✉️

Contact

hetalsharma247@gmail.com

02 — tech_stack

Skills & Tools

A curated set of technologies I work with — from core languages to AI frameworks and infrastructure tools.

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Languages

3 languages

Python JavaScript TypeScript

Python

90%

JavaScript

82%

TypeScript

75%

🌐

Web & Frameworks

6 technologies

FastAPI Next.js React HTML CSS REST APIs

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AI / ML

4 specializations

NLP LLMs Prompt Engineering RAG

🗄️

Databases & Backend

4 technologies

Supabase SQL API Design JWT Auth

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Tools & Platforms

2 tools

Git Streamlit

03 — experience

Work Experience

Hands-on internships that shaped my understanding of both ML engineering and full-stack product development.

AI/ML Intern Feb 2026 - Mar 2026

AI/ML Engineer Intern

EduSkills Foundation — AICTE

Learned the fundamentals of end-to-end ML pipelines, including data preprocessing, model training, and evaluation
Practiced feature engineering and exploratory data analysis on structured datasets
Explored supervised learning algorithms for classification and regression tasks
Gained practical exposure to preprocessing techniques, cross-validation, and hyperparameter tuning

Full Stack Intern Jun 2025 - Jul 2025

Full Stack Developer Intern

NullClass

Integrated live location tracking with a real-time weather UI layer for contextual user experience
Built core social interaction features: media uploads, likes, comments, and user feeds
Focused on improving platform usability and feature discoverability for higher engagement
Collaborated on backend API design and frontend component architecture

04 — projects

Selected Work

Projects that combine technical depth with real-world utility — built with full ownership from architecture to deployment.

project_01

Completed

Social Media App

A full-featured social platform built from the ground up. Combines a powerful FastAPI backend with a Next.js frontend and Supabase for real-time data — featuring a unique rule-based posting system tied to social graph depth.

Auth system with JWT — secure profile creation and session management
Media upload pipeline with profile customization and friend system
Likes, comments, and a dynamic social feed
Unique rule: posting permissions scale with number of friends

FastAPI Next.js Supabase PostgreSQL JWT Auth TypeScript

⌥ GitHub ↗ Live Demo

project_02

In Progress

QuickBrief — AI Document Summarizer

An NLP-powered document intelligence system that distills lengthy documents into concise summaries and enables contextual question answering over any uploaded content.