Hello I'm Milind Ranjan
Computer Science Student
I'm a dedicated Computer Science student with a passion for solving complex problems through clean, efficient code. My focus areas include web development, algorithms, and software engineering. I'm constantly learning and expanding my skillset to stay at the forefront of technology.

Technical Skills
Programming Languages
C++
Python
Java
Kotlin
HTML
CSS
JavaScript
Git
Tools and Frameworks
NumPy
Matplotlib
Seaborn
Keras
Tensorflow
OpenCV
Cloud and Others
Android
Jetpack Compose
AWS
Firebase
Azure
My Experience

PsypherAI
Junior Developer
Feb 2025 - June 2025Built and optimized high-performance FastAPI endpoints, significantly reducing response times by 40%. Integrated OpenAI embeddings and FastAPI into a matching algorithm, boosting accuracy by 30%. Enhanced backend scalability and model serving with the ML team for production-ready pipelines.
Software Development Engineer Intern
Nov 2024 - Jan 2025Developed a full-stack web app using Nuxt.js and Supabase, improving usability and performance. Managed secure authentication and efficient real-time data operations for 1000+ users via Supabase. Improved UI/UX and optimized frontend-backend sync, reducing latency and enhancing experience.

About Me
I'm Milind Ranjan, a passionate Software Developer with a deep interest in crafting innovative solutions that solve real-world problems. My journey in tech began with a fascination for coding and a drive to continuously learn and evolve in this ever-changing field. With experience in various programming languages and frameworks, I specialize in Android development and Deep Learning. My background includes developing user-friendly web and mobile applications and working on deep learning projects, showcasing my versatility and commitment to technology.
When I'm not coding, you'll find me indulging in my hobbies such as singing, exploring space and science, or participating in events that foster creativity and innovation. I'm excited to leverage my skills to build meaningful projects and contribute to impactful solutions.
My Projects

Exoplanet Habitability Prediction
An AI-powered tool that predicts the habitability of exoplanets using NASA data and machine learning algorithms.
Used NASA dataset to develop a machine learning model achieving an accuracy of 87.3%. Implemented comprehensive data pipeline with feature engineering on 20+ parameters and methods. Constructed an interactive Streamlit application enabling real-time habitability predictions. Applied advanced ML techniques including Random Forest, XGBoost, and hyperparameter tuning.
Contact Me
Get in Touch
Something Special
LinkedIn