🌍 My Mission
Leveraging AI to solve real-world challenges in healthcare and beyond.
As a Computer Science student specializing in AI & Machine Learning, my mission is to build intelligent systems that create real-world impact. I’m passionate about uncovering hidden insights from complex datasets, particularly within the healthcare sector.
From developing deep learning models for non-invasive anemia detection to leading a team of ML interns, I focus on transforming ambitious ideas into impactful solutions. With strong skills in Python, data structures, and software development, I strive to build technology that is powerful, purposeful, and accessible.
💡 My Expertise
Machine Learning
Building predictive models and deep learning solutions for complex problems.
Healthcare AI
Applying AI to medical diagnostics, including sepsis and osteoporosis detection.
Programming
Proficient in Python, Java, C++, and web development technologies.
Problem Solving
Strong analytical thinking and a passion for innovative solutions.
💼 My Experience
Nov 2025 - Present
Machine Learning Intern
Arinova Studio
Designing and developing intelligent chatbots with advanced NLP capabilities. Working on web-scraping pipelines integrated with neural networks for automated data extraction and analysis.
Sept 2025 - Present
Deep Learning Intern (Team Lead)
Centre for Health and Innovations, MRIIRS
Leading 8 ML interns on the AnemoScan project. Developed deep learning models for non-invasive Anemia detection.
May 2025 - July 2025
GUNI Summer Research Program Intern
Ganpat University (Remote)
Applied deep learning and computer vision to estimate age from skeletal X-rays for forensic and medical applications.
Feb 2025 - Apr 2025
Project Associate Intern
Centre of Health and Innovations
Developed models for sepsis detection and knee osteoporosis prediction, leading to a successful journal research paper.
Sept 2024 - Nov 2024
Graphic Designer Intern
Manav Rachna University, CST Department
Conceptualized and created branding materials including newsletters, flyers, and logos for the department.
June 2024 - July 2024
Machine Learning Intern
Center of Health and Innovations
Built cough classification models using MFCCs audio features and developed a Django web interface.
🚀 Featured Projects
AI Powered Travel Planner
A web app using Streamlit and Gemini AI to generate personalized travel itineraries based on user preferences.
Food Freshness Detection
A deep learning system using models like AlexNet to classify fruit freshness from images, achieving 84% accuracy.
Osteoporosis Detection
A system to classify bone X-rays into Normal, Osteopenia, and Osteoporosis with a custom CNN model achieving 89% accuracy.
Ongoing Research
Non-Invasive Anemia Detection
Developing models to detect anemia from images of the eye conjunctiva, palm, and nail beds.
TECH STACK:
Respiratory Conditions Detection
Classifying conditions like wheezing and crackles from audio signals using the ICBHI dataset.
TECH STACK:
Skin Lesion Classification
Building models for Melanoma detection and classification from skin lesion images.
TECH STACK:
Publications
Heart Attack Prediction System using Machine Learning Algorithm
Published in IEEE Xplore | Dec 23, 2024
Read PublicationDiabetics and Risk Prediction Using XGBoost - A Scalable and Interactive Model
Conference: SocProS 2025
A scalable and interactive model for predicting diabetes risk using the XGBoost algorithm.
Deep Learning-Based Multiclass Detection of Osteoporosis from Knee Radiographs
Ongoing WorkStatus: Manuscript Submitted
A deep learning approach for detecting multiple classes of osteoporosis from knee X-rays.
📩 Get In Touch
I'm actively looking for new opportunities and collaborations. Let’s build something amazing together!