Frisco, Texas, United States
Results-driven AI professional with 7+ years of experience building intelligent systems at the intersection of artificial intelligence, data science, and real-world problem solving. My background in Biology, combined with advanced training in Artificial Intelligence and Machine Learning, allows me to bridge complex domain knowledge with modern AI technologies. While much of my experience has been applied within healthcare and life sciences, my passion lies in developing AI products that transform how people create, learn, communicate, and make decisions. I specialize in: • Generative AI & Large Language Models (LLMs) • Agentic AI & Multi-Agent Systems • Retrieval-Augmented Generation (RAG) • AI Product Development • NLP & Knowledge Systems • Machine Learning & Predictive Analytics • AI Infrastructure & MLOps • AWS Cloud Architecture (Bedrock, SageMaker) • LangChain, LlamaIndex, Vector Databases • PyTorch, TensorFlow, and JAX • Data Engineering & Analytics • Experimentation, Evaluation, and AI Safety Throughout my career, I have designed and implemented AI solutions ranging from healthcare decision-support systems and document intelligence platforms to conversational AI assistants, workflow automation tools, and predictive analytics applications. My recent work has focused on building AI-native applications powered by LLMs, RAG pipelines, agent orchestration frameworks, and cloud-scale machine learning infrastructure. I am particularly interested in the future of multimodal AI, human-AI collaboration, creative AI systems, and intelligent software agents. I enjoy working across the full AI product lifecycle—from research and prototyping to deployment, evaluation, and continuous improvement. Whether the goal is improving clinical outcomes, automating complex workflows, or enabling new forms of creativity, I am passionate about translating cutting-edge AI research into products that deliver measurable impact. My healthcare and life sciences background provides a unique perspective when building AI systems that require accuracy, trust, and responsible deployment, while my broader focus remains on creating scalable AI products that solve meaningful problems across industries.
Created an online tutoring service for the MCAT Created several series of videos breaking down the major topics that will be tested on the MCAT. Communicated effectively with students over Zoom every week Organized activities and lesson plans to keep them ahead of their class and to maximize their time for exam preparation. Organized practice exam reviews separately for students that required it.
Worked under Dr. Li Zhang Used PCR to split and clone fragments of genes to be inserted into plasmid pER-15b and checked for any impurities Measured the expression of the HRG-1 transport protein in cancer and non-cancer cell lines to see if cancer cell lines uptake heme at a faster rate. Research focused mainly on applying advanced heme biology to learning how lung cancer propagates and how to neutralize it
Tutored fellow college students on subjects such as biology, chemistry, and psychology Communicated effectively with students over Zoom every week. Organized activities and lesson plans to keep them ahead of their class and to maximize their time for exam preparation. Started in person, then met up online with the advent of COVID-19
Talked with ballistics trauma patients about the severity of their symptoms and how it affected their physical and mental recovery. Strong focus on the effects of physical wounds on PTSD. Collected and extrapolated data from across the campus to form a detailed write up to direct future studies for this project