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sharmavaibhav31/README.md

Backend & Systems Engineering Student · AIML Intern @ Infosys Springboard · President, Coders Club @ MITE
B.E. Computer Science & Engineering (2027)




🧭 Who I am

I’m a backend & Systems-focused engineering Student who builds software that runs in the real world.

I’ve worked on:

  • A Flutter mobile app used by 10,000+ students across India
  • AI-powered data systems for training machine learning models
  • Secure backend pipelines and cloud-based applications

My core interest sits at the intersection of: Machine Learning · Backend Systems · Security-aware design


💼 Experience

AI/ML Intern — Infosys Springboard

Sep 2025 – Nov 2025
Working on applied ML systems, model pipelines, and real-world AI integration.


Mobile Application Developer — ClubChat (IIIT Delhi Startup)

Jul 2025 – Sep 2025

Worked on a production Flutter app connecting 10,000+ college students across India.

  • Shipped core features used by real users
  • Fixed 20+ production bugs
  • Implemented UI/UX improvements
  • Collaborated with backend engineers & designers
  • Worked inside agile release cycles

🚀 Project Spotlight

These are systems that I have built and tried to solve real problems.

🥇 Synthetic Data Generator

AI-powered tool for generating realistic training data when real datasets are missing.

  • Auto-generates dataset schemas
  • Uses Hugging Face models to synthesize records
  • Exports directly for ML training (CSV / Excel)

Stack: Python · Transformers · Pandas · Flask · Streamlit
🔗 https://github.com/sharmavaibhav31/Synthetic-Data-Generator


🥈 FinTrix — AI Personal Finance System

AI-powered expense tracking & budgeting for students and professionals.

  • Spending analysis
  • Budget forecasting
  • Anomaly detection
  • Personalized insights

Stack: Flutter · Firebase · Supabase · ML Kit
🔗 https://github.com/sharmavaibhav31/PersonalFinanceTracker


🥉 Offline AI Assistant (Mini OS Shell)

A C-based OS shell with an offline local LLM for privacy-first AI use.

Stack: C · OS-level programming · Offline LLM
🔗 https://github.com/sharmavaibhav31/mini-shell-C-programming


🧠 What I focus on

I don’t try to be “everything”.

I specialize in:

  • Backend engineering
  • Machine learning pipelines
  • Data systems
  • Secure, privacy-aware architectures
  • Production-grade applications

🧩 Tech I actually use

Languages
Python · Java · C · Dart

Backend & Cloud
Firebase · Supabase · PostgreSQL · REST APIs · Google Cloud

AI & Data
Hugging Face · Pandas · NumPy · Scikit-learn

Frontend & Mobile
Flutter · React

Security & Systems
Linux · Burp Suite · Wireshark


📊 Engineering Footprint


🎯 What I’m looking for

Backend, ML, or applied AI roles where:

  • Systems matter
  • Data matters
  • Users matter

If you’re building real products, and you need someone who can: understand systems, work with data, and ship code

We Should Talk.


I build systems where intelligence meets reliability.

Pinned Loading

  1. air-notepad air-notepad Public

    Air Notepad: A Simple jupyter notebook that lets users write/draw on a virtual whiteboard using hand gestures. Utilizes MediaPipe's Hand Landmarker model for real-time tracking. Detected gestures a…

    Jupyter Notebook 11 3

  2. FinTrix FinTrix Public

    FinTrix is an AI-powered financial management app designed for students and professionals to plan budgets, track expenses, save smartly, and get investment tips. It promotes financial literacy thro…

    Dart 1 1

  3. MoodHarmonics MoodHarmonics Public

    JavaScript

  4. offline-shell-assistant offline-shell-assistant Public

    Makefile

  5. timetable_management timetable_management Public

    Java

  6. urlshortner urlshortner Public

    Java