AI Software Engineer with expertise in developing and scaling advanced diagnostic engines and AI-driven features. Proven ability to significantly enhance precision, recall, and throughput through GPU acceleration and optimized model training. Skilled in building robust Flask REST APIs, React/TypeScript dashboards, and Dockerized data pipelines. Adept at benchmarking LLMs and implementing traceable algorithms, contributing to explainable AI solutions. Seeking to leverage deep learning and software engineering skills to drive innovation.
- Languages: Python, C++, Java
- Artificial Intelligence: NLP, Large Language Models (LLMs), Unsupervised Learning, LangChain, PyTorch, Scikit-Learn
- MLOps & Infrastructure: MLflow, Data Version Control (DVC), LangSmith, Docker
- Cloud & Databases: AWS, Google Cloud Platform (GCP), Neo4j, PostgreSQL, SQLite
- Full-Stack Development: FastAPI, React, Node.js, TypeScript
- Bachelor of Science in Computer Science
- Minor in Mathematics
- AWS Certified AI Practitioner
- Specialization in AI Systems Design: Transitioning model-centric workflows to scalable, reliable AI ecosystems.