I am an AI/ML Engineer and Data Scientist passionate about building scalable, high-impact AI systems that connect research with real-world applications.
Currently pursuing my Master’s in Robotics & Artificial Intelligence at Arizona State University, where I also serve as a Research Assistant developing agent-based models into Graph Neural Network (GNN) frameworks for analyzing complex systems.
My expertise spans Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Explainable AI, and Multi-Agent Systems.
I work extensively with Python, PyTorch, TensorFlow, and cloud platforms (AWS, GCP) to translate advanced AI concepts into production-ready solutions.
- 🔍 I approach problems with a mix of research curiosity and engineering discipline.
- ⏱️ I thrive in fast-paced environments, where iteration and adaptability matter more than perfection.
- 🧩 I design solutions with clarity, scalability, and long-term impact in mind.
- 🌍 Experienced in leading and collaborating with distributed teams across multiple time zones.
- 🛠️ I value deep work, structured thinking, and ownership — once I take on a problem, I see it through to the end.
- ✋ I’m ambidextrous — left hand for sports, right hand for academics.
- 💡 Started my tech journey at 18, building an AR brochure app that generated real revenue.
- 🏐 Outside of tech, I play elite-level sports, pushing myself physically as much as intellectually.
- 🔬 I love exploring the edge where AI meets human potential — from real-time voice systems to modeling complex interactions.
- 📈 Discipline over motivation — consistency creates results.
- 🎯 Simplicity in execution — the best solutions are often the clearest and most efficient.
- 📚 Relentless learning — always iterating and improving.
- 🤝 Collaboration with impact — solving meaningful problems with teams that care.
- 📊 Advancing my knowledge of Graph Neural Networks and real-time ML applications.
- 🧮 Sharpening my data structures, algorithms, and system design skills for top-tier engineering roles.
- 🛠️ Building end-to-end AI pipelines — from ideation to deployment.
- 🌟 Preparing for impactful AI roles in industry where scalability, innovation, and real-world value intersect.