CRESTS by Sukhdev

An engineer who turns complicated systems into clear experiences.

Hello from Sukhdev

Scroll to see the work

SELECTED WORK

Four ideas with somewhere important to go.

Computer visionResearchPatent

A System and Method for Facial Detection in Unconstrained Environments

Research focused on helping computer vision identify faces more effectively when lighting, angles and real world conditions are unpredictable.

Good research asks difficult questions before the demo does.
MobilityStudent accessSustainability

MAY Student Mobility Concept

An independent mobility startup concept designed to help students and travelers under 25 spend less while choosing shared journeys with a lighter environmental impact.

More movement. Less wallet drama.Independent portfolio concept with no affiliation to similarly named organizations.
Risk signalsDecision systemsData platform

Fraud Transaction Risk Scoring Platform

A decision platform that brings transaction behavior, account signals and risk indicators into one understandable scoring flow so investigators can focus attention where it matters.

Because “it looks unusual” deserves better evidence.
AutomationValidationException routing

Automation Work

Automation systems that reduce repetitive investigation steps, connect data, validate outcomes and route exceptions to the right people with clear context.

I automate repetitive work because the coffee deserves my full attention.

PIECES I BUILD WITH

A useful toolbox, not a buzzword museum.

Languages

PythonJavaTypeScriptJavaScriptSQL

Intelligent systems

Machine learningGenerative AIVector searchRisk scoring

Platforms

APIsGraphQLEvent processingCloud services

Data

PostgreSQLSnowflakeDatabricksKafka

Delivery

DockerTerraformGitHub ActionsObservability

EXPERIENCE NOTES

Places that shaped the way I build and explain systems.

SOFTWARE AND DATA AUTOMATION

Verizon

Engineering across cloud services, data workflows and useful interfaces.

COMPUTER SCIENCE AND GRADUATE TEACHING

University of North Carolina at Charlotte

Research, learning and teaching grounded in practical computer science.

THE SHORT VERSION

I like systems that are thoughtful inside and pleasantly boring in production.

01

Computer Science

Master of Science from the University of North Carolina at Charlotte.

02

Engineering

Backend, cloud, data and intelligent product development.

03

CRESTS

An entrepreneurial studio for useful ideas with more personality.