React and Next.js interfaces engineered with strict state boundaries and performant render cycles. The subject crafts solutions balancing high-density information with fluid responsive aesthetics.
Production computer vision via YOLO architectures, PyTorch neural networks, and automated visual inference pipelines tailored for real-time mobile and edge applications.
Continuous algorithmic problem solving across C++ and Python data structures.
Robust backend APIs built on FastAPI with asynchronous event loops, Pydantic validation schemas, and real-time database synchronisation via Supabase and Firebase.
Logistics telemetry routing, automated scheduling, and distributed state verification.
Undergraduate in Information Technology at JSS Academy of Technical Education, Noida (Class of 2025–2029). Class XII from Purnea College, Bihar.
React and Next.js interfaces engineered with strict state boundaries and performant render cycles. The subject crafts solutions balancing high-density information with fluid responsive aesthetics.
Production computer vision via YOLO architectures, PyTorch neural networks, and automated visual inference pipelines tailored for real-time mobile and edge applications.
Continuous algorithmic problem solving across C++ and Python data structures.
Robust backend APIs built on FastAPI with asynchronous event loops, Pydantic validation schemas, and real-time database synchronisation via Supabase and Firebase.
Logistics telemetry routing, automated scheduling, and distributed state verification.
Undergraduate in Information Technology at JSS Academy of Technical Education, Noida (Class of 2025–2029). Class XII from Purnea College, Bihar.
Pursuing B.Tech in Information Technology at JSSATE, Noida. Architect of ReDo Smart Logistics, training YOLO and Transformer models, and competing in SIH 2026.
Full-stack developer focused on Machine Learning & Generative AI. Hands-on expertise building production logistics networks, computer vision tools, and REST APIs.
Currently studying Information Technology at JSSATE, Noida — working with Python, FastAPI, Flutter, Supabase/Firebase, TensorFlow, and PyTorch.
Logistics platform connecting shippers with truck owners/drivers to monetize unused freight capacity. Features location-based dispatch algorithms, time-bound driver offers, and atomic booking confirmations.
Engineered a real-time study productivity concept using YOLO-based object detection to monitor mobile phone usage during study sessions. Equipped with custom focus timer, real-time distraction alerts, and analytics dashboards.
Web-based enterprise attendance portal developed with React, Vite, and Firebase. Features role-based access control, realtime session logging, cloud database storage, and exportable reports.
Deep learning convolutional network engineered to classify multi-category visual patterns with 94% validation accuracy. Features dropout regularization, Adam optimizer, and convolutional feature map saliency maps.
Substances detected on the subject
| Substance | Code | Frequency | Finding |
|---|---|---|---|
| Python, C++, Dart, JavaScript | PROG-CORE | Daily | Primary Tool |
| Machine Learning (Pandas, NumPy, Scikit-learn) | ML-DATA | Daily | Comfortable |
| Generative AI, LLMs & Transformers (Hugging Face) | AI-LLM | Active focus | Comfortable |
| FastAPI, REST APIs, Pydantic, Node.js | API-BACK | Daily | Comfortable |
| Flutter, Android & React (Vite) | APP-UI | Most days | Primary Tool |
| Supabase, Firebase & Git/GitHub | DATA-OPS | Most days | Comfortable |
| Data Visualization (Matplotlib, Seaborn, Plotly) | VIZ-EXP | Coursework | Comfortable |
| C++ Data Structures & Algorithms | DSA-CPP | 150+ Solved | Comfortable |
Verified from official academic record and GitHub repository commits.
A project in mind, a role to fill, or just a good question - send it through and he'll get back to you.