As a hybrid AI Engineer and Full-Stack Developer with 2 years+ experience, I bridge the gap between advanced machine learning models and scalable web architectures. Currently pursuing my Bachelor of Informatics (3.97 GPA) with a focus on Artificial Intelligence, my expertise lies in engineering modern, data-driven applications from the ground up.
My technical narrative spans frontend architecture, robust backend APIs, and deep learning model deployment. Recently, I architected a high-performance single-page application that integrated the Gemini API with RAG architecture for context-aware interactions. On the machine learning side, I have fine-tuned BioBERT transformer models to achieve an 81.55% F1-score for biomedical QA , and developed CNN-based computer vision systems for emotion detection.
What sets me apart is my proven ability to execute under pressure and lead technical teams. I have directed a 59-member cross-functional team as Vice Chairperson of PUMA Informatics , mentored over 200 students in AI technologies , and validated my problem-solving skills by securing 1st Place at the Golden Code Hackathon and 3rd Place at the International BeachHacks.
I am actively targeting Full-Stack AI Developer, Machine Learning Engineer, or Backend Engineering roles where I can drive end-to-end product innovation—from dataset processing and model training to deploying scalable RESTful APIs."