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Sagnick Manna
Kolkata, West Bengal
nickslab.app
+91-7908720355
sagnickmanna.dev@gmail.com
sagnick-manna
sagnick11tib
EDUCATION
Techno International Batanagar07/2021--07/2025
B.Tech•CGPA 8.87 upto 7th sem
Kolkata, IndiaMugkalyan High School01/2019--01/2021
Higher Secondary WBCHSE•76.40%
Howrah, IndiaCOURSEWORK / SKILLS
MERN Stack
Next.js
Redux & RTK Query
GIT & GITHUB
Docker
Jenkins CI/CD
AWS
Digital Ocean
Nginx
Linux/Ubuntu
Redis
Prisma (ORM)
Operating Systems
Data Structures & Algorithms
Computer Networking
OOPS Concept
Database Management System (DBMS)
PROJECTS
MERN Stack, Redis, Docker, Digital Ocean
- Developed a full-fledged e-commerce platform with real-time order processing, secure authentication, and an advanced admin panel.
- Implemented Redis caching to reduce API response time by 60%, enhancing performance and scalability.
- Integrated WebSockets for real-time active user tracking, efficiently handling 100+ concurrent users.
- Enhanced payment success rate by 30% using Razorpay for seamless transactions.
- Optimized page load speed by 50% using Cloudinary for image handling and caching.
- Implemented JWT-based authentication with Google, Email/Password, and OTP login, securing access with rate limiting.
- Built an Admin Panel with role-based access: Admin Mode (full access) and Spectator Mode (view-only).
- Utilized Redux & RTK Query for state management, optimizing API calls and reducing client-side latency by 40%.
- Deployed backend using Docker, NGINX, Jenkins CI/CD on DigitalOcean Droplet, ensuring 99.9% uptime.
- Designed a mobile-responsive UI with Dark Mode & Light Mode using Framer Motion for smooth animations.
MERN Stack + IOT Sketch(C++)
- IoT Integration: Utilizes humidity, soil moisture, and ultrasound sensors to monitor plant conditions in real-time.
- Data Handling: Fetches sensor data and sends HTTP requests to a URL, processed using Node.js, Express, and MongoDB.
- Alerts and Notifications: Sends WhatsApp alerts when soil moisture is low, triggers website alerts, and sends SMS notifications for low water levels in the tank.
- Chatbot: Provides regular updates via a chatbot, including soil moisture levels, weather conditions, and water tank levels, with customizable notification settings.
- Mobile App Control: Allows control and monitoring of the system through the Blynk app for easy management from any location.
- Future Enhancements: Plans to train machine learning models to optimize watering requirements based on historical data and specific plant needs.
TECHNICAL SKILLS
Languages
:TypeScript, Java
Developer Tools
:VS Code, Docker, Git, Postman, Linux/Ubuntu
Technologies/Frameworks
:React, Redux Toolkit, Next.js, Node.js, Express.js, MongoDB, Prisma, Tailwind CSS, Redis