AI & Machine Learning Engineer
Computer Science graduate with strong proficiency in programming, data structures, and object-oriented design. Experienced in developing clean, efficient software solutions through academic and project work, with solid problem-solving skills and a quick learning mindset. Specialized in Deep Learning and Cloud Architecture, with a unique interest in the Biomedical intersection.
Implemented full CRUD operations using RESTful APIs, layered architecture, and database integration with robust validation and exception handling.
Comprehensive training in Python covering data analysis, preprocessing, visualization, and foundational machine learning techniques using industry-standard libraries.
Led development of a scalable backend pipeline to ingest CSV/JSON data, enforcing schema and data type validations to support downstream ML systems.
Designed an application to categorize incoming emails and generate personalized responses using LLM-based text generation to improve communication efficiency.
Built and tested a machine learning model for forecasting disease likelihood using patient vitals in telemedicine applications.
Developed a model to convert environmental and speech sounds into time-frequency spectrograms for advanced audio feature extraction.