R&D Engineer | Full-Stack Development | Cybersecurity & AI/ML Integration
- 💻 R&D Engineer focusing on full-stack and embedded projects, leveraging Node.js, LoopBack 4, Python, and AI/ML integrations.
- 🎓 Holds a B.Tech in Computer Science and Technology from the Indian Institute of Engineering Science and Technology (IIEST), Shibpur.
- 💡 Passionate about architecting scalable backend APIs and microservices and solving complex problems with data-driven features.
- 🛡️ Specializing in Cybersecurity, Machine Learning, Algorithm Optimization, and Data Engineering.
- 🌱 Currently working on projects combining edge processing with robust cloud services.
| Category | Skills |
|---|---|
| Languages | Python, C/C++, JavaScript, SQL, HTML/CSS |
| Frameworks/Libraries | React, Flask, NumPy, Pandas, Scikit-learn, TensorFlow |
| Databases/Tools | Git, Linux, Docker, VS Code, MySQL, PostgreSQL |
| Specializations | Machine Learning, Cybersecurity, Algorithm Optimization, Data Engineering |
| Project Title | Summary of Impact | Key Technologies |
|---|---|---|
| Detection of Phishing URLs Using Nature-Inspired Algorithms | Developed a high-accuracy phishing detection system (96.8% accuracy) using Genetic Algorithms and Particle Swarm Optimization. Engineered a lightweight, browser-compatible pipeline processing 10,000+ URLs/min. | Algorithm Optimization, Data Engineering |
| Quantum-dot Cellular Automata (QCA) Digital Circuit Design | Designed and simulated QCA-based logic gates and registers with 15% improved power efficiency over CMOS. Optimized QCA cell arrangement to minimize latency. | Computer Architecture, QCA Designer |
| E-Commerce Price Monitoring System | Developed a web scraping engine tracking 1,000+ products with real-time alerts. Deployed a REST API using Flask for price history and trend visualisations. | Python, Flask, PostgreSQL, Data Engineering |
- 🔗 LinkedIn: Dinesh Bhattacharya
- ✉️ Email: [email protected]
- 🐙 GitHub: https://github.com/dineshbhattacharya