Hello!

I'm Bhumika Biyani

Software Developer

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About Me

Hi there!
I'm a Software Developer at Hella Infra Market with a B.Tech in Computer Science (AI & ML) from Lovely Professional University. I build scalable full-stack applications across web and mobile platforms, combining clean architecture with modern frameworks like React, React Native, Node.js, and Golang.

My passion lies in solving complex engineering challenges — from designing Backend-for-Frontend services that cut network calls by 30%, to building AI-powered interview platforms. I'm a 1st-place winner at IMHAX 2025 (inter-company hackathon). Always eager to learn, ship, and make an impact.

  • Name: Bhumika Biyani
  • Role: Software Developer
  • Location: Bengaluru, Karnataka, India
  • Email: biyanibhumika121@gmail.com

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Resume

Summary

Bhumika Biyani

Software Developer at Hella Infra Market with expertise in full-stack development, AI-powered applications, and scalable system design. Proficient in Node.js, React Native, TypeScript, Golang, and Python. Winner of IMHAX 2025 inter-company hackathon.

Education

B.Tech in Computer Science & Engineering (AI-ML)

Sep 2021 – Aug 2025

Lovely Professional University, Jalandhar, Punjab

CGPA: 8.3 / 10.0

Coursework: Data Structures, Algorithms, DBMS, OS, CN, Cloud Computing, AI, ML, NLP

Professional Experience

Software Developer

Aug 2025 – Present

Hella Infra Market Pvt Ltd, Bangalore

  • Designed and implemented a custom Backend for Frontend (BFF) using Node.js and Express to aggregate 8+ microservice APIs, reducing frontend network calls by 30%.
  • Designed a scalable Redux architecture to centralize API state management across modules, improving maintainability and reducing duplicated data-fetching logic.
  • Developed a dynamic form generation framework using JSON-driven configurations, enabling 10+ configurable forms without additional frontend code.

Software Developer Intern

Oct 2024 – Aug 2025

Hella Infra Market Pvt Ltd, Bangalore

  • Developed end-to-end features across web (React) and mobile (React Native: Android & iOS) platforms using TypeScript, improving reliability and reducing runtime errors.
  • Integrated UI flows with backend microservices via well-structured REST APIs, improving data flow and reducing load time across key user journeys.

Live Project Intern

Nov 2023 – Feb 2024

Network18 Media & Investments Ltd, Remote

  • Created a video summarization and clip extraction pipeline using Python, spaCy, AssemblyAI, MoviePy, and Generative AI techniques.
  • Applied text preprocessing, vectorization, normalization, and NLP pipelines for content analysis and shorts generation.

Technical Skills

Languages

Python JavaScript TypeScript Golang

Frontend & Mobile

React React Native Redux Next.js

Backend & APIs

Node.js Express FastAPI Flask REST APIs

Databases & Tools

PostgreSQL MySQL Redis Docker Git AWS

AI / ML

Machine Learning NLP LLM Applications Generative AI

CS Fundamentals

DSA OOP DBMS OS Computer Networks
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Years Experience
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Full Stack Projects
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Prod Apps Shipped
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Hackathon Winner

Projects

AlgoMentor - AI Mock Interview Platform
★ Featured

AlgoMentor

Next.js FastAPI Python PostgreSQL LLM AWS Polly
  • Production-ready AI mock interview platform simulating real FAANG-style DSA interviews with adaptive questioning and automated evaluation.
  • Integrated Groq Llama-3.3-70B for LLM inference, AWS Polly for neural TTS, and JWT + Google OAuth authentication.
  • Realistic voice interaction, structured scoring, persistent history, and personalized feedback.
View Live
Movie Booking System

Movie Booking System

React Native Golang PostgreSQL Docker
  • End-to-end movie ticket booking system with real-time seat selection, show scheduling, and concurrency-safe seat locking.
  • RESTful APIs with Go (transactions + schema design) and cross-platform app using React Native & TypeScript.
View on GitHub
Shorts Extractor

Shorts Extractor

Python NLP LLM AssemblyAI Streamlit

Automated YouTube-style shorts from long videos using AssemblyAI for transcription, spaCy for similarity analysis, Google Generative AI for scripting, and MoviePy+FFmpeg for trimming. Deployed on Streamlit.

View on GitHub
Music Recommendation System

Music Recommendation System

Python Scikit-learn Pandas NumPy

ML-based system that recommends songs based on user preferences using collaborative filtering and content-based filtering. Built with Python, Pandas, NumPy, and Scikit-learn.

View on GitHub

Achievements

IMHAX 2025 Winners

🏆 1st Place — IMHAX 2025

Won the prestigious inter-company hackathon at Hella Infra Market. Competed against top talent to deliver an innovative, scalable tech solution in under 48 hours.

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LeetCode Top 29% Globally

🔥 LeetCode — Top 29% Globally

Solved 364+ problems across Easy, Medium, and Hard — ranking in the top 29.92% globally with a contest rating of 1,560. Earned the 100 Days Badge 2024.

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I'm Available for full-time roles & collaborations

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