🚀 Full-stack & AI-focused Software Developer with 3+ years of experience delivering production-grade systems at Reliance Jio and building AI-enabled platforms.
🎓 Graduate Certificates in Applied AI/ML and Reporting Systems & Database Development from Conestoga College, Canada.
💼 Actively seeking Software Developer / Full-Stack / Java Developer roles in Canada.
🌐 Passionate about building scalable, reliable, and intelligent software with a strong foundation in Data Structures & Algorithms and cloud-native development.
Languages: JavaScript, Python, Java, C/C++, SQL, Lua
Web/Backend: ReactJS, Node.js, Spring Boot, Express
AI/ML: TensorFlow, Keras, Deep Q-Learning, Reinforcement Learning
Databases: MongoDB, MySQL, PostgreSQL, SQL Server
DevOps & Tools: Docker, GitHub Actions, Kafka, Jenkins, Azure, JIRA, Linux
Concepts: Data Structures & Algorithms (DSA), REST APIs, Microservices, OOP, JWT Auth, CI/CD, TR-069
- Migrated embedded UIs from LuCI (Lua) to ReactJS on JioWRT (OpenWrt), improving maintainability and cutting UI latency by 35%.
- Engineered RESTful APIs between React frontends and Lua backends for real-time configuration and telemetry.
- Optimized performance-critical firmware in C for resource-constrained hardware, improving stability under tight CPU/memory limits.
- Automated QA validation & log parsing with CLI scripts, reducing manual debugging effort by 60%.
- Orchestrated TR-069 provisioning and zero-touch device onboarding with cross-functional teams.
- Maintained CI/CD pipelines in Azure DevOps and triaged production issues with traceable fixes.
- Built reusable ReactJS components with responsive design and optimized rendering.
- Gained hands-on experience in RailNet, UTS, Optical Fiber Communication, and railway telecom systems.
ReactJS | Node.js | Express | Clerk | Sentry
- Developed a production-ready job marketplace with candidate & employer flows: job posting, search/filter, applications, and dashboards.
- Integrated Clerk for secure authentication/authorization and Sentry for error monitoring & performance tracing.
Python | TensorFlow | Keras | OpenCV | Streamlit
- Developed and trained a Convolutional Neural Network (CNN) to classify chest X-rays as Normal or Pneumonia with high accuracy.
- Preprocessed medical imaging datasets with OpenCV and applied data augmentation to improve model generalization.
- Implemented an end-to-end ML pipeline in Python & TensorFlow, covering training, evaluation, and metric visualization.
- Built an interactive Streamlit app to deploy and visualize predictions for real-world usability.
Spring Boot | Kafka | MongoDB | Docker | ReactJS
- Built distributed microservices for appointments, notifications, and audit logs with Kafka-based eventing.
- Implemented secure JWT authentication, RBAC, and real-time analytics dashboard.
I share guides, JS tricks, backend tips, and project breakdowns:
- 📘 SQL For Everyone – The Ultimate Starter Guide
- ⚙️ Backend: NodeJS + Express + EJS + REST – Part 1
- 🧠 SimonSays JS – Memory Game
- 📝 To-Do App With JavaScript
- 💻 Spotify Clone HTML/CSS Guide
“Code is like humor. When you have to explain it, it’s bad.” – Cory House