About Me
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.
Skills & Technologies
Work Experience
Software Engineer Trainee
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
Completed hands-on training in programming fundamentals, database integration, and analytical problem solving. Gained exposure to enterprise workflows, collaborative project delivery, and documentation practices.
Projects
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.
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.
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.
Education
Bachelor of Technology
Artificial Intelligence and Data Science