Machine Learning Engineer & Data Scientist
Transforming complex data into intelligent solutions. Currently seeking challenging opportunities where mathematical precision meets innovative technology.
Building and deploying ML models with expertise in feature engineering, model tuning, and production deployment. Passionate about creating intelligent systems that solve real-world problems.
Strong foundation in Python, C/C++, and software architecture. Experience with test automation, package development, and debugging complex systems from UI to embedded software.
Transforming raw data into actionable insights through NLP, statistical analysis, and exploratory data analysis. Experienced with modern ML libraries and tools.
Continued building ML and adjacent projects — including financial time series work — while tutoring math and physics and deepening foundations in statistics. Applied to graduate programs and prepared for study through coursework and the GRE. Accepted offer for USF's MS in Data Science & AI, which begins summer 2026.
Deep dive into machine learning engineering at UC San Diego. Built LIRecommend, a personalized job recommendation system, showcasing end-to-end ML development.
Developed test automation frameworks, built Python packages, and debugged embedded software. Gained exposure to embedded C programming and thermal camera signal processing.
First engineering role developing touch screen interfaces for EV charging stations. Learned the fundamentals of robust, maintainable code in a startup environment.
Dual degrees in Mathematics and Physics. Found passion for data science through a team project using NLP to analyze TV show transcripts.
A personalized job recommendation system that learns from user preferences and job posting interactions. Built as my capstone project, it demonstrates end-to-end ML engineering from data preprocessing to model deployment.
Ready to tackle challenging problems with data-driven solutions. Let's connect and explore opportunities together.