- 🚀 About Me
- 🧾 Profile & Achievements
- 🧭 Professional Experience
- 💻 Key Skills
- 🛠️ Technologies & Tools
- 🌱 Currently Focused On
- 📘 Latest Projects
- 📑 Publications
- 📍 Let's Connect!
- ✨ Fun Facts
- 👨💻 My Work
- 📊 GitHub Stats
- 📊 GitHub Analytics
- ⚖️ My Tech Stack
I'm a Software Engineer with a passion for backend development, IoT systems, and scalable cloud-native applications. With experience in Spring Boot, Java, Flutter, and React, I specialize in designing APIs, integrating cloud services, and building reliable enterprise solutions.
Currently, I'm focused on developing EzIoT, an IoT platform for non-technical users, and working on financial applications like Loan Back. I love solving problems, building smart solutions, and continuously learning.
- Name: Pappuraj Bhottacharjee
- Role: Competitive Programmer, Software Engineer, Java Programmer
- Location: Dhaka, Bangladesh
- Email: pappuraj.duet@gmail.com
- Phone: +8801832755401
- B.Sc in Computer Science and Engineering — Dhaka University of Engineering & Technology (DUET), Gazipur (2019–2023)
- Diploma in Engineering (Computer Technology) — Bangladesh Sweden Polytechnic Institute, Kaptai (2014–2018)
- BitTech BD — Co‑Founder, Development Team (Apr 2021 – Present)
- BrainStation‑23 — Flutter Development, Internship (Nov 2022 – Dec 2022)
- Roboment R&D Lab — Android App Developer, Part‑time (Apr 2021 – May 2021)
- Auamy Technology — Android Developer, Part‑time (Apr 2019 – Apr 2020)
- MHSoft — Java Development, Internship (Feb 2018 – Apr 2018)
- Languages: Java, C, C++, Dart, Arduino
- Problem Solving: Dynamic Programming, Backtracking, Divide & Conquer, Math, Hash Table, DFS
- LeetCode: pappuraj — Contest rating ~1446, 260+ solutions, 118 reputation
- Primary Languages on LC: Java (325+), MySQL (12), C++ (6)
- Explore projects and case studies: pappuraj.com
- Email: pappuraj.duet@gmail.com, me@pappuraj.com
- Phone: +8801832755401
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Software Engineer — Project 2morrow Software Ltd.
- Building production-grade fintech and IoT platforms with Java/Spring Boot, Kafka, Redis, Docker, PM2.
- Responsibilities: API design, data modeling, code reviews, CI/CD, production deployments.
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Trainer & Programmer (Part‑time) — Roboment R&D Lab (Feb 2019 – Present)
- Deliver workshops and training in embedded systems, IoT, robotics, and ML; develop custom devices and solutions for education and industry.
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Co‑Founder — BitTech BD (Apr 2021 – Present)
- Led development of IoT and mobile solutions; architected backends and integrations.
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Flutter Developer (Intern) — BrainStation‑23 (Nov 2022 – Dec 2022)
- Built cross-platform features, contributed to app performance and UI quality.
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Android App Developer (Part‑time) — Roboment R&D Lab (Apr 2021 – May 2021)
- Developed Android apps interfacing with sensors/embedded controllers.
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Android Developer (Part‑time) — Auamy Technology (Apr 2019 – Apr 2020)
- Implemented Android features and REST integrations.
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Java Developer (Intern) — MHSoft (Feb 2018 – Apr 2018)
- Worked on Java backends and database CRUD modules.
- IoT & Embedded: ESP32/ESP8266, Arduino, Raspberry Pi; MQTT/REST; real-time data; hardware–software integration
- Machine Learning & CV: TensorFlow, scikit‑learn; detection, XAI/interpretability; time‑series; TinyML/on‑device inference
- Backend & APIs: Java, Spring Boot, Microservices, Hibernate/JDBC, secure data management
- Mobile & Apps: Android (Kotlin/Java), Flutter; companion apps for device control and monitoring
- Data & Cloud: MySQL, MongoDB, SQLite, Firebase
- DevOps: Docker, Linux, NGINX, Git, CI/CD; Kafka, Redis; Kubernetes (basics)
- Programming: Java, Python, C/C++, Dart, SQL, Bash
- Android Development (Kotlin, Java)
- Cross-platform with Flutter and React
- Spring Boot, Firebase, AWS, Docker
- RESTful APIs, Kafka, Redis
- MySQL, MongoDB, SQLite, Room, Firestore
- Git, GitHub, GitLab, Bitbucket
- CI/CD: GitHub Actions, PM2
- Postman, Firebase Crashlytics
- JUnit, Espresso, Mockito
- Mastering Flutter and React for cross-platform development
- Scaling IoT backend using Kafka and Redis
- Contributing to open-source and writing technical blogs
- HPRCC Lab, DUET, Gazipur — Research Assistant (UGC-funded IoT healthcare project)
- CSE Lab, DUET, Gazipur — Research Assistant (IoT egg incubation & DL-based fertility detection)
- Research Activator Lab — Research Collaborator (AI, ML, IoT; IEEE ICCIT 2024 co-authorship)
- MSiP Lab, Daejeon, South Korea — Research Assistant (ML/IoT embedded systems; ongoing journals)
- ORCID: 0009-0002-0202-7891
- Integrated Health-Care for Cripple and Abnormal Person in Home or Hospital — Mohammad Abdur Rouf, Pappuraj Bhottacharjee, Laboni Labonna, Md. Murad Hossain, Jarin Tasnim Tamanna — International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM), 2023.
- Design and Development of an Efficient IoT-based Egg Incubation System — Khawja Imran Masud, Pappuraj Bhottacharjee, Abu Saeid, Md. Golam Mostofa, Md. Obaidur Rahman — International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM), 2023.
- Developing an IoT-based Motorcycle Safety and Monitoring System: An Efficient Solution — Pappuraj Bhottacharjee, Abu Saeid, Mst. Raonik Jannat, Khawja Imran Masud — International Conference on Computer and Information Technology (ICCIT), 2024.
- Interpretability in Hate Speech and Offensive Language Detection: Leveraging Transformers with Explainable AI — Mohammed Amran, Asmita Das Gupta, Rituparna Chowdhury, Md. Hamid Hosen, Pappuraj Bhottacharjee, Naima Tasnia — International Conference on Computer and Information Technology (ICCIT), 2024.
- Egg Fertility Detection and Classification of an IoT-based Egg Incubation System using Transfer Learning: A CNN-based Approach — Khawja Imran Masud, Abu Saeid, Mst. Raonik Jannat, Pappuraj Bhottacharjee, Md. Obaidur Rahman, Md. Rafiul Hasan — [Under review].
- Detection of Monkeypox Disease from Human Skin Images Using a Hybrid Deep Learning Model with Explainable AI (XAI) — Rituparna Chowdhury, Altaf Uddin, Arnab Saha, Pappuraj Bhottacharjee — [In progress].
- Efficient Attention-Integrated YOLO Architecture for Smart Pothole Detection and Driver Alert on Embedded Platforms — Pappuraj Bhottacharjee, Momotaz Begum, Jia Uddin — [In progress].
My research focuses on building reliable, scalable intelligent systems at the intersection of embedded sensing, edge/cloud computing, and applied machine learning. I am particularly interested in:
- Robust real-time systems for IoT/robotics
- Data-driven optimization for cyber-physical systems
- Efficient ML for resource-constrained devices (TinyML, on-device inference)
- Trustworthy, secure, and privacy-aware sensing pipelines
I enjoy translating theory into deployable systems with measurable impact, from device firmware and data engineering to backend services and user-facing tools.
- Machine Learning and AI (TinyML, on-device inference, time-series, NLP)
- Robotics perception and control; ROS2 and real-time middleware
- Computer Vision (detection, XAI, interpretability)
- Embedded systems and IoT sensing/actuation at the edge
- Distributed systems for real-time data (Kafka, streaming, low-latency design)
- Trustworthy, secure, and privacy-aware sensing pipelines
- Mentored juniors in Robotics, Backend and IoT
- Conducting online and onsite class in the Roboment
Let's chat, collaborate, or build something impactful together! 😊
- I enjoy automating real-life systems with IoT and backend APIs
- I experiment with embedded AI models and microcontroller-based sensors
- I often mentor juniors on backend systems, databases, and deployment
- Software Engineer at Project 2morrow Software Ltd.
- Building production-grade fintech and IoT platforms
- Collaborating with UI/UX teams, writing maintainable code
- Reviewing code, fixing bugs, and deploying to production using Docker & PM2
Channel: @pappuraj
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