Bhumika Biyani-Portfolio

About Me

Hi there!
I’m a Computer Science undergraduate specializing in Artificial Intelligence and Machine Learning, with a strong foundation in software development. I enjoy designing and building scalable applications, combining clean architecture principles with modern frameworks. My passion lies in solving complex problems—whether it’s developing backend services, integrating APIs, or implementing AI-powered features. I’m eager to apply my skills in fast-paced environments, contribute to impactful projects, and keep exploring new technologies that improve performance, usability, and user experience. A quick learner and strong team player, I’m driven by curiosity and a commitment to delivering reliable, high-quality software.

Name: Bhumika Biyani
Date of birth: January 19, 2004
Address: Bengaluru, Karnataka, INDIA
Zip code: 560034
Email: biyanibhumika121@gmail.com

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Resume

Summary

Bhumika Biyani

Final-year B.Tech student in AI & ML and SDE Intern at Hella Infra Market. Skilled in full-stack development, AI, and ML-powered solutions using Golang, Python, TypeScript, React Native, NLP pipelines, Docker, and Kubernetes. Experienced in building projects like a movie booking system, LLM-powered shorts extractor, and AI chatbots. Recognized among the top 5% in Data Analytics and SQL, and winner of IMHAX 2025 inter-company hackathon.

Education

Bachelor of Technology in Computer Science (AI / ML)

2021 - 2025

Lovely Professional University, Punjab , IN

Performance: 8.43 CGPA

Higher Secondary School

2019 - 2021

CBSE, IN

Performance: 89%

Professional Experience

SDE Intern

10-2024 - Present

Hella Infra Market Pvt Ltd, Bangalore

Developed end-to-end features for both web and mobile platforms using React (Web) and React Native (Android & iOS) with TypeScript for type safety and maintainability.
Built a custom Backend-for-Frontend (BFF) from scratch using Node.js and Express, tailored to frontend needs.
Created a unified Redux architecture as a proof-of-concept to dynamically manage API calls and shared state across modules.
Implemented a dynamic form generation system based on JSON configuration, enabling scalable and reusable UI workflows.

Live Project at network18

10-2023 - 02-2024

Network18 Media and Investments, IN

Worked with large data sets, trained and fine-tuned ML models, and utilized MS Excel for data analysis.
Developed a tool to create news shorts from long news videos using Gemini API, LLM models, Assembly AI and NLP pipelines.
Learned and applied text preprocessing, vectorization, normalization and basics of neural networks.

My Skills

Golang Development

90%

Python Development

95%

Java Development

50%

React Native & React (TypeScript)

90%

Redux Observables

85%

Machine Learning & Data Science Concepts

90%

NLP Pipelines & LLM Models

85%

Docker & Kubernetes

50%

SQL (PostgreSQL, MySQL)

85%

Automation & Web Scraping

80%

Projects

Movie Booking System (React Native & Golang)

Full-stack cross-platform movie ticket booking app with Golang backend (DDD architecture) and PostgreSQL database.
Dynamic seat selection with real-time availability and reactive state management using Redux Observables.
Containerized with Docker and deployed on Minikube (Kubernetes) for scalable local testing.

Shorts Extractor (NLP & LLM)

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

Music Recommendation System (Machine Learning)

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

I'm Bhumika Biyani

Software Developer

I'm an UG from India