About Me
Entry-Level AI/ML Engineer with professional internship experience designing, training, and deploying machine learning models, production-grade APIs, and automated data pipelines. Skilled in balancing data science implementation with robust backend software engineering principles (OOP, SDLC).
Skills & Technologies
Work Experience
AI/ML Development Intern
Designed and maintained a modular Python-based OCR + NLP data pipeline, reducing manual entry workflows by ~60%. Developed and deployed over 5 FastAPI microservices integrating ML models with healthcare infrastructure, serving 100+ users weekly. Conducted unit and integration tests using pytest and collaborated in an Agile/Scrum environment.
Projects
Prescription Analysis System
Engineered an end-to-end machine learning pipeline leveraging Computer Vision and Natural Language Processing to extract structured entities from raw medical documents. Designed MySQL schema to store and retrieve structured prescription records, supporting audit trails for clinic staff.
Medical Calling Agent (Voice Automation System)
Developed a scalable conversational microservice integrating automated speech-to-text models to process client voice interactions. Implemented error handling and retry logic for failed calls to ensure delivery reliability.
Colorization of Grayscale Medical Images using Deep Learning
Executed thorough Exploratory Data Analysis (EDA) and data normalization across large imaging datasets to optimize model training. Achieved ~50% improvement in diagnostic image clarity on a dataset of medical scan images.
Education
B. Tech in Computer Science and Engineering
Data Science