Hey, I'm Aditya
AI Researcher, Competitive Programmer, and Developer. I build, break, and reimagine tech for the Gen-Z era.
About Me
I'm Aditya, an AI researcher, competitive programmer, and developer passionate about building impactful tech. I love solving hard problems, exploring new ideas, and pushing the boundaries of what's possible.
My journey blends research, coding competitions, and hands-on development. Whether it's AI, system design, or creative coding, I thrive on challenge and innovation. Let's connect and build something amazing!
Experience
Junior Research Intern
Indian Institute of Technology, Kanpur
May 2024 – July 2024
- Worked on deep learning for medical imaging and generative AI.
- Developed scalable research code and published results.
- Collaborated with top researchers and presented findings.
Undergraduate Researcher
IIIT Delhi
2022 – Present
- Explored computer vision, 3D mesh, and AI-driven systems.
- Published research and contributed to open-source projects.
Teaching Assistant
IIIT Delhi
2022 – Present
- Assisted in Data Structures, Algorithms, and AI courses.
- Mentored 100+ students in coding and research projects.
Projects
Interactive Stick Hero Game
Built an engaging multithreaded JavaFX game replicating Stick Hero, implementing dynamic mechanics to improve player retention by 40%.
Custom Linux Shell Implementation
Developed a Linux shell in C to execute system commands efficiently, with a focus on user-centric design and functionality.
Airlux App Prototype
Designed a user-friendly app prototype with Figma, optimizing UI flow and increasing usability by 30%.
Dynamic Traffic Management System
Created a predictive model using regression techniques to optimize traffic light timings, reducing congestion by 15%.
TripSync Travel Manager
Designed a travel booking app using MySQL backend, providing seamless integration for tickets, hotels, and flights.
Merilife – AI-Powered Neurology Assistant
Designed a multilingual, speech-enabled healthcare chatbot using ReactJS, Django, and FastAPI. Built for neurology departments to automate patient screening and medical report generation. Integrated RBAC, real-time response (≤ 10s text, ≤ 15s speech), and secure JWT/OAuth2 authentication. Used MongoDB, microservice architecture, and speech-to-text APIs for robust multilingual support. Ensured GDPR/HIP compliance and handled 100+ concurrent users.
Wildlife Monitoring System
Built a scalable backend using Flask, Python, and Elasticsearch-py for wildlife activity tracking. Developed a REST API integrating CLIP-based vector embeddings to enable fast and relevant image search. Integrated a grid-count ML model for real-time wildlife density estimation and improved user accessibility.
2D-to-3D Mesh Reconstruction and Inverse Skinning
Implemented a computer vision pipeline converting 2D object pose images into 3D meshes using a MobileNet-based architecture inspired by Pixel2Mesh. Applied free-form deformation and hyperspectral inverse skinning techniques for estimating bone structures and skinning weights. Included metric evaluation and scalability recommendations.
Education
IIIT Delhi
B.Tech in Information Technology
2022 – 2026
CGPA: 9.2/10
Contact
Let's connect! Reach out for research, coding, or collab opportunities.