💻 Junior Software Engineer focused on building secure full-stack web applications, practical AI/NLP systems, and clean user experiences.

🚀 I’m currently a Software Engineer Intern at Softcodeit Solutions, where I’m working on TalentFlow, a recruitment and interview management platform.

🔭 I’m currently working on
Building TalentFlow, a full-stack recruitment and interview management platform with role-based portals, search, scheduling, feedback, notifications, and analytics.

👯 I’m looking to collaborate on
AI-driven applications, backend systems, authentication platforms, and full-stack projects involving NLP, secure APIs, and scalable architectures.

🤝 I’m looking for help with
MLOps, cloud deployment with AWS/GCP/Azure, and designing production-ready AI systems with CI/CD pipelines.

🌱 I’m currently learning
Machine learning workflows, MLOps, system design, cloud deployment, and cleaner React + TypeScript architecture.

💬 Ask me about
JWT authentication, RBAC systems, REST APIs, NLP with TF-IDF and spaCy, FastAPI, React, and full-stack project delivery.

⚡ Fun fact
I built an AI text-adventure game that adapts to player personality using psychological models — turns out algorithms can read you pretty well 😄

Current Internship Project | Angular, NestJS, MySQL, Redis, Kafka, Elasticsearch, AWS S3

• Building a production-style recruitment platform with Admin, Recruiter, Interviewer, and Candidate portals
• Covers job posting, CV management, candidate pipelines, interview scheduling, feedback, notifications, dashboard analytics, and search
• Practicing modern backend architecture, async workflows, role-based access, and cloud-ready system design

Industry Project | React, Node.js, Express, MySQL, Sequelize, JWT, RBAC, MSAL

• Built a full-stack audit system for Manar Group Ltd, a McDonald’s franchisee in Canterbury, Kent
• Designed secure JWT authentication with access and refresh tokens using httpOnly cookies
• Implemented Role-Based Access Control with Users, Roles, and Permissions
• Created permission-based frontend rendering and protected routes
• Integrated Microsoft Azure AD with MSAL for secure Microsoft Graph file uploads

Full-Stack + NLP | Python, FastAPI, React, TypeScript, scikit-learn, spaCy, Docker

• Built an end-to-end SMS and email spam classifier
• Used TF-IDF features and Linear SVM for classification
• Developed a FastAPI prediction API and React TypeScript frontend
• Added automated tests, Docker support, CI/CD workflows, and Render deployment

🔗 View Repository

Final Year Project | MERN Stack, AI Algorithms

• Developed an AI-powered text adventure game with dynamic story generation
• Used Minimax, Dijkstra’s algorithm, and Huffman encoding
• Applied Big Five personality traits to personalize gameplay
• Combined game logic, full-stack development, and AI algorithm design

Python, Pygame, Graph Algorithms

• Built an interactive visualizer for BFS, DFS, Dijkstra, and A*
• Created real-time grid-based algorithm animation
• Strengthened graph theory, recursion, priority queues, and event-driven UI skills

Python, scikit-learn, Matplotlib

• Applied K-Means clustering to census data
• Used Elbow Method and Silhouette Score to evaluate cluster quality
• Generated visual insights for customer segmentation and financial analysis

• Machine learning workflows
• MLOps and production AI systems
• Cloud deployment with AWS, GCP, and Azure
• System design for scalable web applications
• Cleaner React and TypeScript architecture

Thanks for visiting! Let’s build useful software 🚀