🚀 Software Developer | Full-Stack Engineer | ML Enthusiast
📍 Ahmedabad, Gujarat, India
I’m a Computer Science Engineer with hands-on experience building scalable web applications, AI-powered systems, and data-driven solutions. I enjoy transforming ideas into clean, performant, and user-friendly products using modern technologies.
- 🎓 Bachelor of Engineering (CSE) – New LJ Institute of Engineering and Technology (CGPA: 8.69)
- 💼 2 Developer Internships in Full-Stack & Software Development
- 🧠 Strong foundation in Web Development, Machine Learning, and AI
- 🌱 Continuously learning and building production-ready applications
- 🏆 Selected for Amazon ML Summer School 2023
- 🥇 5th Rank – CodeWars, Lakshya Techfest (LD College of Engineering)
HealMeRight (Remote) | Jan 2025 – Mar 2025
- Developed key features for a health-tech platform, increasing user engagement by 30%
- Optimized application performance and mobile responsiveness, reducing load time by 15%
- Collaborated with healthcare experts to deliver personalized health plans with 20% improved accuracy
SrashtaSoft (Ahmedabad) | May 2025 – Oct 2025
- Built and maintained core application features using Next.js and Firebase
- Integrated Firebase Authentication and Cloud Firestore for secure data handling
- Designed responsive UI components for consistent cross-device experience
Tech: Next.js, Express.js, Node.js, MongoDB, ShadCN
- Topic-based filtering, article saving, and notification reminders
- Implemented lazy loading, caching, debounced search, and pagination
- Reduced page load time by 40% and external API calls by 30%
Tech: React.js, Firebase, Gemini API, Google Places API
- AI-powered travel itinerary generation based on user preferences
- Integrated real-time travel data, budget tracking, and chatbot assistance
- Used Firebase for authentication and real-time data storage
🔗 GitHub: https://github.com/rohansrivastava5491/Smart-Travel-Planner-and-Companion
🔗 Live Demo: https://smart-travel-planner-and-companion.vercel.app/
Tech: Python, Flask, Bootstrap
- Content-based recommendation system using cosine similarity
- Precision: 85%, Recall: 80%
- Optimized data pipelines, reducing processing time by 20%
- Java, JavaScript, Python
- HTML, CSS, Bootstrap, Tailwind CSS, ShadCN
- React.js, Next.js
- Node.js, Express.js, Firebase, Flask
- MongoDB, MySQL
- NumPy, Pandas, Scikit-learn
- TensorFlow, Keras, PyTorch
- NLP, Generative AI
- Matplotlib, Seaborn, Pickle
- Git, GitHub, Docker
- VS Code, Jupyter Notebook