Welcome to my GitHub profile! Iβm a Master's student in Computer Science at NC State University (graduating in 2026), passionate about building impactful software and solving real-world problems with technology.
- π Based in Raleigh, NC
- π§ Currently diving deeper into Algorithms, Software Engineering, Object-Oriented Design, DevOps, and Applied AI
- π Previously built full-stack web and mobile applications with applied AI integrations for real-time and intelligent functionality
- π§ Love working with JavaScript, MERN Stack, Python, and Java
Raleigh, NC | Oct 2025 β Present
- Designed and tested scalable backend services using Node.js and Azure PostgreSQL to streamline research data management
- Collaborated with interdisciplinary teams to integrate analytics with software systems, improving usability for agricultural researchers
- Built APIs and data pipelines supporting real-time data analytics for North Carolinaβs sweet potato industry
- Enhanced system reliability through code refactoring, schema design
Remote (Raleigh, NC) | May 2025 β Jul 2025
- Developed scalable backend modules using Node.js and Express, reducing onboarding time by 30% for 500+ users
- Integrated OpenAI Realtime API, Heygen SDK, and Web Audio (VAD) to enable real-time, AI-driven voice interactions
- Optimized avatar response pipelines for near-real-time synchronization, enhancing communication efficiency
- Migrated workflows to AWS with PostgreSQL, improving deployment reliability and implementing CI/CD practices
Android Developer @ MahiTech LLC
Remote (San Jose, CA) | Jan 2024 β May 2024
- Built core features like User Authentication and Interactive Maps using Firebase and Google Maps SDK
- Implemented Room Database for offline support, reducing load time by 25%
- Integrated FCM for push notifications, boosting user engagement
Expertiza (NC State University)
Ruby on Rails, JavaScript
- Reimplemented the Question Hierarchy module to improve maintainability and scalability
- Refactored UI components and enhanced mobile responsiveness
- Cleaned up legacy partials and improved HTML generation logic
AlgoMonster
Python
- Contributed test cases to strengthen problem validation and improve edge case coverage
Tech Stack: React Β· Node.js Β· Express Β· MongoDB Β· Docker Β· JWT Authentication Β· Microservices Architecture
- Designed and implemented a microservices architecture (auth, analytics, reporting) using the MERN stack to improve scalability and maintainability
- Developed a robust reporting module and optimized MongoDB queries, reducing report generation time significantly, powered by JWT authentication
- Integrated Docker into CI/CD pipelines to automate testing and deployment across environments
- Planned automated expense logging through message parsing, enhancing system intelligence and usability
Tech Stack: Python Β· React Β· MongoDB Β· Material UI Β· OpenAI API
- AI-powered meal planner with personalized recipe recommendations based on dietary needs, ingredients, and cooking behavior
- Drag-and-drop meal calendar and auto-generated shopping lists
- Voice-enabled, hands-free cooking mode with interactive timers and guided steps
- Dynamic recipe scaling with serving slider; auto-updates ingredients and nutrition (macros + vitamins)
- Smart ingredient substitutions to reduce food waste and enhance user experience
Tech Stack: Python Β· React Β· MongoDB Β· Material UI Β· OpenAI API
- AI-driven job application tracker with intelligent job recommendations tailored to user skills and preferences
- Resume-to-job comparisons and benchmarking using AI; categorized status tracking (Applied, Rejected, Wishlist, etc.)
- Persistent skill tracking and optimized profile management across sessions
- Past analysis dashboard for deep application insights and continuous improvement
- Smooth UX with bug fixes and performance enhancements
Tech: Next.js, Node.js, MongoDB, Tailwind CSS
- Built a complete research platform to track submissions and peer reviews
- Designed the frontend and led feature development for improved transparency
- This platform was built for my university after faculty members expressed concerns about the inefficiencies of manual processes
Tech: Ruby on Rails, JavaScript
- Refactored item hierarchies and optimized frontend UI
- Improved maintainability and mobile responsiveness
Tech: JavaScript, HTML, PHP, MySQL
- Led the Pharmacy module, automated inventory and order tracking
- Implemented secure RBAC access and optimized patient registration flow
Languages: Python, Java, JavaScript, HTML/CSS, Ruby, SQL
Tools/Frameworks: MERN Stack, Ruby on Rails, Flutter, Git, Firebase
Databases: MySQL, MongoDB, Room
Other: Figma, Zsh/Bash, Homebrew, Packet Tracer
- AWS Academy Cloud Foundations
- AWS Academy Machine Learning Foundations
- NPTEL β Operating Systems
- LinkedIn: anchaltk
- GitHub: anchal-kakadia
- Email: anchalkakadiasde@gmail.com
Thanks for visiting my profile! Always happy to collaborate, learn, and build together.


