Full-Stack Web Developer with hands-on experience in crafting end-to-end solutions and a keen interest in pioneering AI/ML and Data Science projects.
Proficient in Python, JavaScript, and frameworks like Flask and Nextjs, having a proven track record of enhancing application performance and user engagement.
Through personal projects, have seamlessly integrated machine learning models into applications, demonstrating a commitment to exploring innovative technologies.
Eager to pursue a carreer in Research & Development, to leverage my diverse skill sets to push the boundaries of cutting-edge technology.
- Full Stack Development
- AI/ML
- Data Science
- Databases
- Generative AI
- Research & Development
- Cloud Computing
- DevOps/MLOps
- DSA
- IoT
- UI/UX & Creative Design
- • • •
Experience
- Working on novel approaches in the field of AI/ML
- Overlook the AI/ML related activities of the student chapter
- Leading a team of 5 co-committee members
- Conducted a workshop on technical project managment using tools like GitHub, to over 50 attendees
- Hosted SYN3RGY, a 24hr hackathon in collaboration with DJS NSDC and DJS ISACA
- Developed responsive UI for various services provided by Trikon using Next.js
- Developed a ERC 4337 Wallet, NFT Marketplace and a Game integration toolkit.
- Designed and developed responsive and dynamic websites for the chapter and the chapter's events like Line of Code Hackathon and Internship Fair
- The Intership fair website recieved over 2000 individual applications from nearly 400 students
AI/ML Research Intern
Indian Institute of Technology, Patna
VCP of Technical Department
DJSCE ACM SIGAI Student Chapter
Frontend Engineer
Trikon Ecosystems
Co-Head InfoTech (Web)
DJSCE ACM Student Chapter
Education
Dwarkadas J. Sanghvi College of Engineering
B.Tech in Artificial Intelligence and Machine Learning
CGPA: 9.15
Indian Institute of Technology, Madras
BS in Data Science and Applications
CGPA: 9.59
B. K. Gadia A-Levels Junior College
A-Levels, Science
Grade: A
D. G. Khetan International School
IGCSE, Science
Grade: A
Projects
- A full-stack web application that uses LLMs and Prompt Engineering for calendar scheduling and time management, built as part of the Innovative Product Development (IPD) course at DJSCE.
- Classified the B2B clients into five tiers using Clustering & Decision Trees, as well as performed sales forecasting via Regression Analysis using real world data from an Architectural Hardware Distributor for the fiscal year 2022-23.
- Image classifier and tagger application built using CNNs from scratch in PyTorch and Transfer Learning using ImageNet models such as ResNet, and achieved an accuracy of 87%
OptimeAI
DJSCE
Client Classification & Forecasting for an Architectural Hardware Distributor
IIT Madras
Certifications & Achievements
AIR-17 in GATE 2024 DA [Score: 896]
GATE 2024
Machine Learning Fundamentals
Udacity – AWS AIML Scholarship
AI Programming in Python Nanodegree
Udacity – AWS AIML Scholarship
Programming in C++
NPTEL
This website is built with Next.js, Tailwind CSS and Typescript inspired by Brittany Chiang.