AI & Data Science Student | ML Engineer
Hi! I’m an AI and Data Science enthusiast from K.J. Somaiya College of Engineering who loves turning ideas into intelligent, real-world solutions. I’m driven by curiosity, creativity, and the excitement of solving meaningful problems using technology.
I’ve had the opportunity to work on impactful projects, from building network management systems at L&T Technology Services to developing document processing solutions at Containova. Along the way, I’ve gained hands-on experience in machine learning, computer vision, full-stack development, and working with tools like Python, TensorFlow, Flutter, Docker, and Kubernetes.
When I’m not coding, you’ll find me giving back through teaching at U&I Trust, leading initiatives as Joint Literary Secretary, or exploring my love for public speaking, debating, and creative writing. I strongly believe that the best technology is built at the intersection of innovation, communication, and purpose.
I'm always eager to connect with like-minded individuals and explore new opportunities for growth and collaboration. Let’s connect and create something amazing together!
Bachelor of Technology - AI & Data Science
Sem 1: 10 | Sem 2: 9.74 | Sem 3: 10 | Sem 4: 10| Sem 5: 10
Courses: Operating Systems, Data Structures, Analysis of Algorithms, AI, ML, Networking, Databases
Honors in Data Engineering
Sem 3: 10 | Sem 4: 10 | Sem 5: 10
Courses: Text Analytics, Natural Language Processing, Web Analytics, Web Scraping, APIs, Transformers
CBSE
Class 12: 92.4% (2023) | Class 10: 98% (2021)
Operators and Enterprise Intern
Mumbai, India
Tech Infrastructure Intern
Mumbai, India
Software Development Intern
Navi Mumbai, India
Data Science and Business Intern
Remote
Project Intern
Mumbai, India
Routopia is a GIS-driven truck routing and load optimization project that uses machine learning and pathfinding algorithms to enable coordinated load transfers at overlapping waypoint radii. By combining spatial analysis with intelligent route planning, the system improves vehicle and manpower utilization, reduces redundant trips, and optimizes fleet efficiency and logistics operations.
Assessed the availability, fragmentation, and accessibility of urban green spaces in Queens, New York, using GIS-based spatial analysis of Landsat 9 satellite imagery and OpenStreetMap (OSM) layers to derive spatial indicators and evaluate patterns of urban greenspace distribution and access.
Co-developed Soulace, a digital platform providing personalized mental health support through mood tracking, guided interventions, and curated resources. Focused on user-friendly design and data-driven insights to promote proactive emotional well-being and accessible mental wellness.
Developed an image classification system using feature fusion of pre-trained CNNs (VGG16, VGG19, ResNet50, MobileNet) with SVM and Random Forest classifiers, achieving high accuracy on medical and digit datasets, while exploring feature reduction with Harris Hawks Optimization.
Presented at 2nd International Conference on Technologies for Energy, Agriculture, and Healthcare (February 2025) Mentor: Dr. Nilkamal More, HOD Information Technology, KJSCE
Developed an automated ocular disease detection system using deep learning to classify retinal fundus images into cataract, diabetic retinopathy, and glaucoma. Implemented transfer learning models such as VGG16 and MobileNetV2 with customized layers, along with image preprocessing and augmentation, to enhance diagnostic accuracy. The system was evaluated using standard performance metrics, demonstrating its effectiveness in supporting early diagnosis, reducing ophthalmologist workload, and improving overall healthcare efficiency.
Volunteering & Leadership Impact
Leader
Teacher
Students' Council, K.J. Somaiya College of Engineering | July 2024 - May 2025
Somaiya Debating Society, Somaiya Vidyavihar University | July 2023 - December 2024