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Hi, I'm SatyamFull Stack Developer

I am a Full Stack Software Engineer focused on designing and building scalable, production-ready systems that perform reliably under real-world constraints. My core strength lies in architecting backend services with

Node.js

and

Express

, crafting high-performance web applications using

React

and

Next.js

, and designing resilient data models with

PostgreSQL

and

MongoDB

.

Featured

Experience

IIT Mandi logo

Machine Learning Research Intern

June 2024 - August 2024
Mandi, Himachal Pradesh
  • Conducted research on **Computer Vision for small object detection in remote sensing** using advanced deep learning techniques.
  • Developed and optimized **FFCA-YOLO (Feature Fusion and Channel Attention YOLO)** model for improved detection accuracy of small objects in satellite imagery.
  • Implemented deep learning models using **PyTorch and CUDA** for real-time inference and performance optimization.
  • Worked on cutting-edge research in **remote sensing applications** with focus on agricultural monitoring and environmental analysis.
  • Collaborated with research team on **computer vision algorithms** and contributed to ongoing research publications.
  • Gained hands-on experience with **GPU acceleration** and optimization techniques for deep learning models.
PyTorchComputer VisionYOLOPythonCUDADeep LearningRemote SensingObject Detection

Featured

Projects

Formlytics

Google Forms–style form builder with a minimal black-and-white design. Features drag-and-drop form creation, quiz builder, response analytics with Recharts, NextAuth.js authentication, and Prisma ORM with MongoDB for scalable data storage

Technologies

All Systems Operational
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VardaX

ML-powered Web Application Firewall with real-time threat detection using behavioral analysis and anomaly detection. Features lightweight cloud-ready architecture with Python/Scikit-learn for ML models, Redis for caching, and Docker for deployment

Technologies

Ubuntu Clipboard Manager

Native Ubuntu clipboard manager with Windows-style clipboard history. Built with Python and GTK/libadwaita for native desktop UI, D-Bus for system-level clipboard integration, SQLite for local storage, and Systemd for background service management

Technologies

RetroPaste

Terminal-themed pastebin with CRT effects, phosphor glow, and 8-bit sounds. Features AI-powered code analysis for security vulnerabilities and best practices, ephemeral pastes with view limits, auto language detection, and JWT authentication

Technologies

All Systems Operational
View Details

About

Me

About

Satyam

Hey, I'm Satyam. I'm a 3rd-year B.Tech Computer Science student and a Full-Stack Developer with strong Machine Learning expertise, focused on building scalable, production-ready systems. I work across the entire stack, from designing robust backend architectures and APIs to building clean, high-performance user interfaces. Alongside this, I actively develop and experiment with machine learning models for real-world applications, with interests spanning neural networks, natural language processing, intelligent systems, and data-driven decision-making. I enjoy solving complex problems at scale, optimizing system performance, and turning ideas into reliable, user-centric products. My goal is to engineer systems that are efficient, secure, and impactful in real-world environments. Tech Focus: Full-Stack Engineering · Machine Learning · Backend Systems · Scalable Architectures · Intelligent Applications

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GitHub Activity

My coding contributions over the past year

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