About Me

Mon, 01 Jan 0001 00:00:00 +0000

I’m a passionate developer and technology enthusiast with expertise in Python, C/C++, backend development, embedded systems, and Edge AI. My work spans from on-device machine learning and full-stack AI applications to microservices infrastructure and IoT systems.

My Expertise

Programming & Development:

Python, C, C++, JavaScript, SQL
Backend Development with FastAPI, Flask, Node.js, and Express
REST API Design, JWT Authentication, and Microservices (API Gateway patterns)
Machine Learning / Edge AI (LSTM Autoencoders, MobileNetV2, TensorFlow Lite, Model Quantization)
Embedded Systems with ESP32 (Firmware, Sensor Integration, TinyML)
Full-Stack Web Development with React

Technologies & Tools:

Contact

Mon, 01 Jan 0001 00:00:00 +0000

I’m Rupankar Dutta, and I’d love to hear from you! Feel free to reach out through any of the following channels:

Email: 2330108@kiit.ac.in or rupankardutta5686@gmail.com
LinkedIn: linkedin.com/in/rupankar-dutta
GitHub: github.com/BonchitoSky

You can also download my resume or check out my experience page to learn more about my skills and projects.

I typically respond to inquiries within 24-48 hours. Looking forward to connecting with you!

Experience

Mon, 01 Jan 0001 00:00:00 +0000

Engineering Experience

I’m Rupankar Dutta, a B.Tech student and builder with hands-on experience across embedded systems, Edge AI, backend development, and full-stack web applications. My work is centered on practical systems that combine hardware, software, and real-time decision-making.

Focus Areas

Embedded Systems, IoT, and Edge AI

Built decentralized real-time systems on ESP32 for local communication, sensing, and automation
Developed firmware for sensor-integrated devices using MPU-6050, DHT11, MQ-135, PIR, and sound sensors
Worked with ESP32-WROOM-32, ESP32-CAM, and ESP-NOW for low-latency wireless communication
Trained and deployed on-device ML models using TinyML, LSTM autoencoders, int8 quantization, TFLite Micro, Edge Impulse, and MobileNetV2

Backend, Full-Stack, and AI Application Development

Built application backends using FastAPI, Flask, Node.js, and Express
Engineered microservices infrastructure including API gateway patterns with JWT authentication and Redis rate limiting
Developed interactive web experiences using React, Socket.IO, MySQL, and PostgreSQL
Integrated AI services (OpenAI API, Google Vision) into full-stack products with personalization and chat memory
Containerized applications with Docker and set up CI workflows with GitHub Actions

Programming and Tooling

Languages: Python, C, C++, JavaScript, SQL
Tools: Arduino IDE, PlatformIO, EasyEDA, Git, Docker, VS Code
Libraries and utilities: BeautifulSoup, PyPDF2

Project Experience

Edge AI Anomaly Detection System (GitHub)

Built a real-time vibration anomaly detection system running entirely on an ESP32 with an MPU-6050 sensor — no cloud required
Trained an LSTM autoencoder in TensorFlow on normal-only data and quantized it to int8 for TFLite Micro on-device inference
Added a fault-type classifier that identifies the kind of anomaly (drop, shake, imbalance) alongside severity
Developed a Flask + JavaScript dashboard with live reconstruction-error charts, adaptive EWMA thresholding, and CSV-exportable anomaly event logs

CookMind AI – AI-Powered Cooking Assistant (GitHub)

Developed a full-stack AI application using React, Vite, FastAPI, PostgreSQL, and the OpenAI API
Built recipe recommendations from ingredient lists, conversational cooking assistance with chat memory, and image-based ingredient recognition via Google Vision
Implemented JWT signup/login, pantry persistence, cuisine and dietary preferences, and favorite recipe saving
Containerized the stack with Docker (dev and production compose files with an Nginx reverse proxy) and added a CI workflow for backend tests and frontend builds

TheRUPOgate – Microservices API Gateway (GitHub)

Engineered a production-style Node.js API gateway serving as a single entry point in front of microservices
Implemented JWT authentication with role-based header injection for downstream services
Built Redis sliding-window rate limiting that fails open if Redis is unavailable
Added structured JSON logging and a live monitoring dashboard streaming request metrics over Server-Sent Events

Intelligent Decentralized Home Automation System

Developed a decentralized smart home system using ESP32 nodes communicating through ESP-NOW
Implemented local sensing, threshold-based alerts, timing control, and offline automation logic
Integrated DHT11, MQ-135, PIR, and sound sensors into the firmware pipeline
Contributed to a MobileNetV2-based facial recognition workflow for secure access control on ESP32-CAM

Real-Time Multiplayer Quiz Platform

Built a multiplayer quiz application using React, Node.js, and Socket.IO
Implemented private rooms, timed rounds, live score tracking, leaderboard generation, and synchronized gameplay state

Natural Language to SQL Query Generator

Built a Flask and MySQL based application that converts natural language questions into SQL queries
Developed the backend query flow, execution pipeline, and result presentation interface

Dynamic Programming Text Auto-Correction

Developed a C-based text correction system using edit-distance dynamic programming
Focused on optimized string matching, fast suggestion generation, and correction accuracy

Automated Plant Watering System

Built an ESP32-based irrigation system that automates watering decisions from environmental input
Added real-time monitoring and control behavior to improve reliability and efficiency

WiFi Network Scanner

Developed an ESP32 utility to detect nearby WiFi networks and display SSID and RSSI values
Used the system for quick signal analysis and basic wireless environment diagnostics

For more details about my technical background and projects, please refer to my resume.

Resume

Mon, 01 Jan 0001 00:00:00 +0000

Profile

I’m Rupankar Dutta, a B.Tech student at KIIT University focused on embedded systems, the Internet of Things, and edge artificial intelligence. I have hands-on experience building decentralized real-time systems on ESP32, developing sensor-integrated firmware, implementing low-latency wireless communication, and deploying lightweight machine learning models for on-device inference. I also build full-stack AI applications, microservices infrastructure, and system-level solutions that combine software, hardware, and data-driven logic.

Download Resume PDF

Education

Kalinga Institute of Industrial Technology (KIIT)
Bachelor of Technology, 2023-2027
CGPA: 8.4/10

Rupankar Dutta - Full Stack Developer

About Me

My Expertise

Contact

Experience

Engineering Experience

Focus Areas

Embedded Systems, IoT, and Edge AI

Backend, Full-Stack, and AI Application Development

Programming and Tooling

Project Experience

Edge AI Anomaly Detection System (GitHub)

CookMind AI – AI-Powered Cooking Assistant (GitHub)

TheRUPOgate – Microservices API Gateway (GitHub)

Intelligent Decentralized Home Automation System

Real-Time Multiplayer Quiz Platform

Natural Language to SQL Query Generator

Dynamic Programming Text Auto-Correction

Automated Plant Watering System

WiFi Network Scanner

Resume

Profile

Education