GenAI / Full-Stack Engineer. Driven by ✱ building intelligent systems, engineering scalable applications, and ꕤ turning ambitious ideas into real-world products.
01 / EXPERIENCE
AmdocsGenAI Engineer
NOV 2026 — PRESENT
GENAI ENGINEERING · JERSEY CITY
EIS Group LTDAI Software Engineer · Data Engineer
JUN 2023 — OCT 2026
AI + DATA PLATFORMS · SAN FRANCISCO
PandioData Scientist
APR 2021 — MAR 2022
MACHINE LEARNING · SAN DIEGO
Intel CorporationData Scientist · Internship
SEP 2020 — FEB 2021
PREDICTIVE ANALYTICS · SANTA CLARA02 / SELECTED WORK
ABOUT THE PROJECT
Omnigaze brings market signals, emerging themes, and supporting evidence into one focused workspace. It is designed for people who need to scan quickly, investigate deeply, and leave with a clearer point of view.
ABOUT THE PROJECT
Afterglow turns live weather and solar geometry into a calm, bilingual sunset forecast. Upload the real sky for a private in-browser color comparison, then optionally ask OpenAI to interpret the photo against the forecast.
ABOUT THE PROJECT
CourtVision brings real NBA data, visual exploration, and grounded AI research into one connected experience. Ask CV answers questions through bounded, read-only tools over NBA Stats and BALLDONTLIE, with citations to the underlying CourtVision sources.
ABOUT THE PROJECT
Orbit is a calm, bilingual personal operating system that connects long-term direction to daily action. The iPhone app works offline first, syncs securely when enabled, and keeps AI recommendations as proposals until you approve them.
03 / LIFE ROADMAP
01 · FOUNDATION
I earned my B.S. in Data Science from the University of California, San Diego, building the analytical foundation that still shapes how I approach engineering: start with evidence, understand the system, and make the result useful.
The chapter where data became a way to understand—and build—the world around me.
02 · INDUSTRY
An internship with Intel’s predictive analytics team in Santa Clara was my first look at data science inside a global engineering organization. I worked with operational and sensor data, learning how useful models become when they are designed around the people making real decisions.
The chapter where classroom foundations met engineering scale.
03 · FIRST BUILD
Joining Pandio turned machine learning into a production craft. I learned to care as much about repeatable workflows, stakeholder trust, and delivery as model performance.
The chapter where experimentation became engineering.
04 · GRADUATE STUDY
I earned my M.S. in Data Science with a Data Engineering specialization from Northwestern University, deepening the statistical, systems, and data-platform foundations behind the products I wanted to build.
A chapter devoted to rigor: understanding the architecture beneath the outcome.
05 · ENTERPRISE SCALE
At EIS Group, I moved beyond individual models into enterprise AI and data platforms—building research agents, durable integrations, and retrieval systems that connected knowledge across the organization.
The chapter where AI engineering, data infrastructure, and product value converged.
06 · NOW
At Amdocs, the focus is GenAI: building intelligent systems that are useful, resilient, and ready to scale. It is the clearest expression yet of the work I want to keep doing.
The next milestones are still being written.