Welcome to my portfolio! I’m a passionate and driven software engineer specializing in machine learning and full-stack development. With a strong foundation in data structures, algorithms, and AI systems, I thrive on building innovative solutions to real-world problems. I am constantly exploring cutting-edge technologies like NLP, computer vision, and distributed systems, and I’m dedicated to delivering efficient, scalable applications. Whether it's crafting intelligent systems or optimizing complex processes, I approach every project with curiosity, creativity, and a commitment to excellence. Explore my work and join me on this exciting journey of innovation and discovery!
I am currently pursuing my Bachelor's Degree in Computer Science and Engineering at D.Y. Patil College of Engineering and Technology, maintaining a CGPA of 9.76/10. My technical expertise spans machine learning, full-stack development, and AI research, with proficiency in Python, Java, C/C++, React.js, Next.js, Django, and TensorFlow.
I approach projects with precision and a problem-solving mindset, consistently delivering innovative and scalable solutions. My internships and hands-on experience have strengthened my ability to tackle complex challenges and collaborate effectively.
I am committed to continuous learning, staying updated with emerging technologies, and pushing the boundaries of software engineering. Feel free to explore my work, and don't hesitate to reach out for collaboration or inquiries.
My academic journey and certifications
Programming
Data Analyst
Computer Networking
Online Summer school on Usefulness of Remote Sensing
My professional experiences
My technical and soft skills
C++
Java
Python
JavaScript
SQL
React
Next.js
Django
Docker
Kubernetes
Figma
Unity
AutoCAD
Jenkins
Jenkins
Problem Solving
Communication
Teamwork
Leadership
My creative work
An AI-driven platform to evaluate resumes and conduct virtual interviews with real-time behavioral analysis.
A health bot that predicts diseases and recommends medicines based on medical reports and prescriptions.
Engineered a CNN model from scratch using Mel Spectrograms and ResNet to classify environmental sounds with high accuracy. Features a real-time visualization dashboard.
An AI-powered code review system that detects issues in real-time and classifies AI vs. human code with 90%+ accuracy, boosting review efficiency by 40%.
An AI-powered system to detect cheating behavior in real-time using YOLO and DLib.
A recommendation system that suggests movies based on user preferences and collaborative filtering.
A functional clone of the Myntra e-commerce website built using HTML, CSS, and JavaScript.
A Python-based text-to-speech application that converts text into speech using the pyttsx3 library.
A task management application built using React to create, update, and delete tasks.
Get in touch!