Integrated MTech in Software Engineering
Vellore Institute of Technology, Vellore
CGPA: 7.98 / 10
Software engineering · Full-stack · ML
NAVEEN RAJ M
Software Engineering Student · Full-Stack & ML
Profile
Professional summary
Passionate software engineering student with hands-on experience in full-stack web development, data analytics, and machine learning. Proficient in building secure, scalable web applications from robust backend APIs and database design to responsive frontend interfaces. Experienced in extracting insights from data and integrating AI and ML capabilities into real-world workflows. Grounded in core computer science principles with a practical, build-first approach. Eager to work on challenging problems alongside teams that value engineering quality, intelligent systems, and continuous learning.
Background
Education
Higher Secondary Education (Class XII)
Sunbeam Matric Higher Secondary School, Vellore
Percentage: 84.1%
Selected work
Projects
OneSpot Finance
Personal Finance & Asset Management Platform
Node.jsExpressPostgreSQLPrisma ORMReactTypeScriptREST API
- Engineered a full-stack personal finance platform centralizing expense tracking, liability management, goal planning, and investment monitoring.
- Implemented a dynamic dashboard with Net worth calculation, financial insights, and secure user authentication.
- Designed scalable REST APIs using Express and Prisma ORM with PostgreSQL for efficient data handling.
Flower Classification
Convolutional Neural Networks
PythonTensorFlowCNNscikit-learnOpenCVNumPy
- Designed a multi-class flower image classifier with Conv2D, MaxPooling, and Softmax layers for hierarchical feature extraction and classification across 5 categories.
- Built an end-to-end pipeline covering data preprocessing, model training, and a real-time prediction module with confidence scoring via NumPy, Pillow, and Matplotlib.
Medical Device Predictive Monitoring System
Real-time anomaly detection & alerts
PythonFastAPIPostgreSQLSQLAlchemyscikit-learnStreamlitPlotly
- Developed a real-time predictive maintenance system using Isolation Forest anomaly detection to monitor medical device sensor data and trigger automated critical alerts.
- Implemented role-based JWT authentication (Admin/Technician) with a live monitoring dashboard and device data simulator for end-to-end system validation.
Toolbox
Technical skills
Programming Languages
- Java
- SQL
- Python
- C / C++
- JavaScript
Frontend
- React
- HTML
- Tailwind CSS
Backend & Databases
- Node.js
- Express.js
- REST APIs
- PostgreSQL
- Prisma ORM
- SQLAlchemy
- FastAPI
AI & Machine Learning
- Model Training & Optimization
- Supervised Learning
- Deep Learning
Methodologies & Tools
- SDLC
- Agile (Scrum)
- Version Control
- GitHub
- Microsoft Excel
- Cross-functional Collaboration
Authentication & Security
- JWT Authentication
- Password Hashing (bcrypt)
Core CS Concepts
- Data Structures
- OOP
- DBMS
- Computer Networks
- Operating Systems
Credentials
Certifications
Full Stack Development
Udemy
Beyond code
Interests
Technical
- Generative AI
- Machine Learning
- Cloud Technologies
- Data Analytics
Non-technical
- Videography
- Editing
- Event Coordination
- Stock Market Analysis
Let's talk
Contact
Open to internships, collaborations, and teams that care about solid engineering and continuous learning. Prefer email or LinkedIn for first contact.