Computer Science undergraduate building practical systems at the intersection of Machine Learning, Backend Engineering, and AI.

I enjoy taking ideas from data → backend → intelligence → deployment and turning them into working end-to-end systems.

💡 Fun fact: I love CP Competitive Programming 😂

• 🏭 Safety Sense — Machinery Health Monitoring System
• 🎓 University Management System — Database & Backend Project
• 💰 FinBud — AI-powered personal finance platform
• 🧠 Strengthening Data Structures & Algorithms
• ⚙️ Deepening Backend Engineering with Django & FastAPI
• 🤖 Learning Deep Learning, LLMs, and Applied AI

AI / ML
   ↓
Data Processing
   ↓
Backend APIs
   ↓
ML / AI Inference
   ↓
Database
   ↓
Frontend / Dashboard
   ↓
Deployment

I enjoy understanding how individual components connect together to build complete systems.

• Machine Learning & Applied AI
• Backend Engineering
• REST API Development
• AI-powered Applications
• Database-driven Systems
• ML Model Deployment
• Scalable Backend Architecture
• End-to-End System Development

Python • NumPy • Pandas • Matplotlib • Scikit-Learn

PyTorch • TensorFlow

Currently learning Deep Learning and neural network architectures.

Prompt Engineering • LLM Workflows • Fine-Tuning

FastAPI • REST APIs

MySQL • PostgreSQL

Docker • AWS

React • Tailwind CSS

Basic frontend development with a focus on backend integration.

Arduino • ESP8266

Data Structures • Algorithms • Competitive Programming

• 🧠 Deep Learning — LSTM, Autoencoders & Time-Series
• 🤖 LLM Applications & Fine-Tuning
• ⚙️ Production Backend Architecture
• 🚀 Scalable APIs & Cloud Deployment
• 🗄️ Database Design & Optimization
• 🌐 Frontend Integration with React
• 🧪 Testing & Software Engineering Practices
• 🐙 Open Source Contribution

I enjoy building systems where different technologies work together:

Sensors
   ↓
Backend API
   ↓
Data Processing
   ↓
ML Model
   ↓
Prediction
   ↓
Dashboard

and:

User
   ↓
Frontend
   ↓
Backend API
   ↓
Database
   ↓
AI / ML Processing
   ↓
Intelligent Output

A machinery health monitoring system combining IoT, backend APIs, and machine learning for early anomaly detection.

• Real-time sensor-based monitoring
• Machine health data processing
• Anomaly detection using Isolation Forest
• FastAPI backend for ML inference
• Dashboard-oriented system architecture
• End-to-end IoT → API → ML pipeline

Tech: Python • FastAPI • Scikit-Learn • IoT • ESP8266

An AI-powered interior design platform that transforms room images into redesigned spaces using computer vision and generative AI.

• YOLO-based object detection
• SAM-based image segmentation
• Stable Diffusion for interior visualization
• AI-assisted 2D floor planner
• Manual floor-plan editing
• Text-to-layout generation using a local LLM
• Hybrid AI architecture combining cloud and local AI

Tech: React • FastAPI • YOLO • SAM • Stable Diffusion • Ollama

A full-stack healthcare ecosystem designed to connect patients, caregivers, hospitals, and doctors.

• Smart prescription parsing
• OCR-based health record processing
• Medication reminders
• Caregiver monitoring
• Hospital queue management
• Healthcare workflow management
• Insurance-related assistance
• AI-powered features
• Privacy-focused architecture

Tech: Next.js • React • FastAPI • Supabase • OCR • Ollama • FHIR

An AI-powered personal finance platform designed to help users understand their finances and make more informed decisions.

• Personal finance dashboard
• Financial goal planning
• AI-powered insurance analysis
• Government scheme recommendations
• Market news AI insights
• Investor-profile-based recommendations
• Risk analysis and key financial insights
• AI-assisted financial information processing

Next.js Frontend
       ↓
FastAPI Backend
       ↓
Supabase Auth / PostgreSQL
       ↓
AI Processing
       ↓
Groq LLM

Tech: Next.js • FastAPI • Supabase • PostgreSQL • Groq • LLMs

A database-driven university management system focused on structured academic and administrative data.

• Relational database design
• SQL queries
• Data relationships
• Backend integration
• Efficient data retrieval
• Scalable database structure

Tech: PostgreSQL • SQL • Backend Integration

Currently exploring and contributing to open-source projects focused on:

• Python
• Backend Engineering
• FastAPI
• Django
• AI/ML
• Testing
• Developer Tools

Learn from real-world codebases, contribute meaningful bug fixes/features/tests, and understand how production software is designed and maintained.

• Build production-quality AI/ML systems
• Become strong in backend engineering
• Contribute consistently to open source
• Strengthen DSA & Competitive Programming
• Learn scalable system architecture
• Deploy ML/AI systems to the cloud
• Work on real-world AI engineering problems

📧 sakthimaran7102006@gmail.com

Building. Learning. Contributing. Repeating.