Life OS
Designed a local-first productivity command center for habits, todos, water, steps, workouts, finance, life score, XP and levels.
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SELECTED WORK
Productivity systems, ML automation, semantic search, 3D reconstruction, cloud-security modeling and developer tooling.
Designed a local-first productivity command center for habits, todos, water, steps, workouts, finance, life score, XP and levels.
Designed a low-code ML automation platform to shorten model-building workflows and reduce setup friction.
Modeled IAM exposure paths and sensitive-data risk to support defensive cloud-security prioritization.
EXPERIENCE
Recent work across Palo Alto Networks, aiRender, Sirch, IBM, BuddiAI and research programs.
Automated validation, evidence collection, refresh checks, CI/CD governance, and cloud-operations reporting for enterprise platforms.
Prepared Gaussian Splatting inputs for 3D reconstruction and integrated LLM-backed semantic search into product retrieval workflows.
Evaluated healthcare AI, clinical NLP, GANs, imbalanced data, and applied ML through internships and research programs.
RESEARCH & STACK
Published work, competition results and a practical technical stack for shipping reliable systems.
Published works across ML, deep learning, NLP, bioinformatics, healthcare AI, and LLM resume classification.
Python, C++, Java, SQL, PyTorch, TensorFlow, GCP, Cloud Spanner, GitHub Actions, Harness, SonarQube and Docker.
Runner-up in IBM zDatathon for Social Good and ranked 331/2500 globally in AWS DeepRacer July League.