About
Generative AI Engineer with hands-on experience designing, developing, and deploying AI-powered applications and production-grade machine learning systems. Experienced in building end-to-end AI solutions, from data processing and model experimentation to deployment, monitoring, and optimization using Docker, Azure, SQL Server, and MongoDB.
Experience2
Software Engineer Trainee
Nov 2025 — PresentiLink Digital
Develop, deploy, and support AI-driven enterprise applications, integrating ML and Generative AI models into production. Build data pipelines using SQL Server and Entity Framework Core to support model-driven reporting and analytics. Work across API, data, and deployment layers on Azure for business process automation.
Consultant Intern
Feb 2025 — Oct 2025iLink Digital
Completed hands-on training in programming fundamentals, database integration, and analytical problem solving. Gained exposure to enterprise workflows, collaborative project delivery, and documentation practices.
Projects3
Link2Hire – AI-Powered LinkedIn Job Processing System
Designed automated data pipelines for extraction, classification, and multi-channel storage (MongoDB + Google Sheets), containerized with Docker for reliable deployment, and owned the system end-to-end, monitoring output quality and iterating on agent logic.
- Python
- FastAPI
- Angular
- MongoDB
- Azure OpenAI
- Docker
Amazon E-Commerce Product Quality Analysis
Built and trained an LSTM deep learning model to classify product quality (good/terrible) using customer review data, handling data collection, cleaning, and feature engineering on large unstructured datasets.
- Python
- Sentiment Analysis
- LSTM
- Scraper API
- Render
LeafCare – Cassava Plant Leaf Disease Detection
Designed and trained a CNN-based image classification model using EfficientNetB0 to detect cassava leaf diseases, achieving 96% accuracy.
- Python
- CNN
- EfficientNetB0
- Streamlit
Education1
Bachelor of Technology
2021 — 2025Karpagam College of Engineering
Artificial Intelligence and Data Science