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JoothiswaranPalanisamy
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Adaptable AI & Data Science engineering candidate with strong learning agility. Experienced in full-stack development, AI-agent workflows, and real-time ML systems with solid Python and JavaScript fundamentals.
Experience
1+ Years
Projects
10+
About Me
I'm an AI & Data Science engineering candidate with strong learning agility and the ability to quickly pick up new tools, platforms, and cloud environments.
With hands-on experience in full-stack development, AI-agent workflows, and real-time ML systems, I bring solid Python and JavaScript fundamentals to every project I work on.
Areas of Interest
AI & ML
Deep Learning, TensorFlow, PyTorch
Full-Stack
React, Next.js, Node.js, FastAPI
Data Engineering
SQL, Data Pipelines, ETL
AI Agents
MCP Servers, Automations
Skills & Expertise
Programming Languages
Frontend Development
React, React Native, Next.js
Building responsive and interactive user interfaces with modern frameworks.
Backend Development
Node.js, FastAPI
Creating robust server-side applications and RESTful APIs.
Machine Learning
TensorFlow, PyTorch
Developing and deploying ML models for real-world applications.
Deep Learning
CNN, RNN, GANs, OpenCV
Building neural networks for computer vision and NLP tasks.
AI Agents & Automation
MCP Clients & Servers
Creating AI-powered automation workflows and agent systems.
Data Engineering
MySQL, Firebase, Data Pipelines
Designing efficient data storage and processing solutions.
Version Control
Git, GitHub
Managing code repositories and collaborative development.
Development Tools
VS Code, Linux, Streamlit
Proficient with modern development environments and tools.
REST APIs
API Design & Integration
Building and consuming RESTful web services.
What I Do
Offering expertise across the full software development lifecycle, from concept to deployment
Full-Stack Development
Building complete web applications with React, Next.js frontends and Node.js, FastAPI backends. Responsive, performant, and scalable solutions.
AI Agent Development
Creating intelligent AI agents and automation workflows using MCP Clients/Servers. Building systems that reason, plan, and execute complex tasks.
Machine Learning Solutions
Developing and deploying ML models for real-world applications including computer vision, NLP, and predictive analytics using TensorFlow and PyTorch.
Data Engineering
Designing efficient data pipelines, ETL processes, and database solutions. Transforming raw data into actionable insights for data-driven decisions.
Mobile App Development
Cross-platform mobile applications using React Native. Native-like experiences for both iOS and Android from a single codebase.
MLOps & Deployment
End-to-end ML lifecycle management from model training to production deployment. Ensuring reliable, scalable AI systems in production.
Professional Experience
Software Developer Intern
Dataclap
- Designed and developed the company website while building key product modules using Python.
- Working with AI Agents and building automation workflows.
- Building MCP Clients and Servers for AI-driven operations.
- Developing and maintaining data pipelines for efficient data processing.
Software Team Lead
Rehabionics | Startup
- Led a software team for healthcare product development.
- Coordinated sprint planning, task assignment, and code reviews.
- Delivered full-stack features (React/React Native frontend + Node.js backend).
- Integrated ML modules for real-time product functions.
Featured Projects
A showcase of my work in AI, Machine Learning, and Full-Stack Development
Agentic RAG Chatbot
Built a local agent-driven RAG system that combines LLM capabilities with tool integrations to deliver accurate, contextual AI responses without relying on external APIs.
Key Highlights:
- Implemented a 5-step reasoning pipeline for transparent, auditable reasoning
- Local AI system with tool integrations for contextual responses
- No dependency on external APIs
Accident Detection using Deep Learning
Designed a real-time camera monitoring pipeline to detect vehicle accidents and trigger alerts. Focus on real-time constraints, robustness to noise, and edge deployment considerations.
Key Highlights:
- Real-time camera monitoring pipeline for accident detection
- Object detection with temporal heuristics
- Lightweight alerting backend for instant notifications
Fraud Detection Using GANs
Implemented a GAN-based augmentation pipeline and trained deep classifiers to address extreme class imbalance in transaction data with significant performance improvements.
Key Highlights:
- F1 score increased from 43% to 88% (↑45 percentage points)
- Precision improved from 78% to 91%
- Recall improved from 30% to 85%
Face Recognition Attendance System
A Streamlit-based attendance system that uses facial recognition to automate student attendance tracking with an intuitive web interface.
Key Highlights:
- Automated student attendance tracking using facial recognition
- Web interface for registering students and marking attendance
- View and export attendance records easily
Education & Certifications
B.Tech in Artificial Intelligence & Data Science
Suguna College of Engineering
- Specializing in AI, Machine Learning, and Data Science
- Hands-on experience with real-world projects
- Active participant in technical events and hackathons
HSC – Mathematics with Computer Science
SSBMV Matric. Hr. Sec. School
- Strong foundation in Mathematics and Computer Science
- Developed interest in programming and problem-solving
Professional Certifications
AI Engineer Associate Certificate
Udemy (School of AI)
RSDCA Certificate in Data Analytics
BIA
Database and SQL for Data Science
Coursera (IBM)
Prompt Design in Vertex AI
Google Cloud
Foundation of Prompt Engineering
AWS
Achievements
0+
Hours Coding Marathon
0+
Projects Completed
0+
Certifications
0+
Years Experience
Kalam's World Records
Recognized for continuous 24-hour coding marathon, demonstrating exceptional dedication and endurance in software development.
Vice President - Student Organization
Led events and initiatives as VP, developing leadership skills and coordinating technical events for the student community.
Get in Touch
Have a project in mind or want to collaborate? Feel free to reach out!