SLServet Lapardhaja

Engineering portfolio

Servet Lapardhaja, Ph.D., P.E.

AI Engineer Licensed Professional Civil Engineer

I design dependable AI, data, and engineering systems—grounded in research, shaped by real users, and built to be useful.

View experienceA little more about me
Based in
New York City
Current focus
AI & data systems
Portrait of Servet Lapardhaja
Currently atU.S. Department of the TreasuryAI Engineer

About

I’m an AI Engineer at the U.S. Department of the Treasury and a licensed Professional Engineer (P.E.) in New Jersey.

At Treasury, I build AI-enabled systems and data workflows that help modernize financial management. The goal is practical: reduce manual work and avoidable costs, make long-standing processes and legacy systems easier to use, and improve service for taxpayers. I use AI where it makes a task faster, clearer, or more dependable, and pair it with clear interfaces, testing, and documentation.

Before moving into AI engineering, I worked in transportation engineering and research. My work included traffic operations, simulation models, and large datasets—experience that taught me how to break down complicated systems and explain the result clearly.

I earned both a Ph.D. and an M.S. in Civil and Environmental Engineering from UC Berkeley. My doctoral research examined how adaptive cruise control affects traffic flow and urban congestion, combining field data, simulation, and predictive modeling. I also earned a Diploma of Engineering from the National Technical University of Athens, where I studied transportation and surveying engineering.

I am currently pursuing an M.S. in Analytics at Georgia Tech, focused on data science and machine learning. It gives me room to deepen the skills I use alongside my engineering background.

Experience

U.S. Department of the Treasury sealCurrent role

2026—Present · New York / remote

U.S. Department of the Treasury

AI Engineer

I lead development and coordinate delivery of AI tools and data workflows for financial management, with clear interfaces, reliable data, and careful validation at the center.

  • Lead development and coordinate delivery across product, data, and engineering workstreams.
  • Design AI-enabled workflows that make complex financial information easier to work with.
  • Improve data-rich interfaces so people can find, compare, and act on the right information.
  • Use automated build, review, and browser checks to validate delivery.
Read more about this role
  • Coordinate operational needs, product flows, interface requirements, and acceptance criteria across the development lifecycle.
  • Build responsive, accessible data experiences with React, Next.js, and TypeScript, connecting people to the information needed for timely decisions.
  • Work across APIs, PostgreSQL data models, and interface states to make large, detailed records easier to navigate and review.
  • Use Python, SQL, and AI-assisted workflows where they improve analysis or delivery without replacing careful review.
  • Document implementation decisions and maintain automated browser-test evidence so releases are reliable and easy to validate.
PythonTypeScriptReactNext.jsSQLPostgreSQLPlaywrightAI engineering

Education

UC Berkeley · 2020—2023

Ph.D. in Civil & Environmental Engineering

Doctoral research on the effects of adaptive-cruise-control vehicles on urban congestion.

GPA
3.96 / 4.00
Specialization
Transportation Engineering
Minors
Data Science, Machine Learning & City Planning

Licenses & certifications

PE

New Jersey · Professional Engineer

Licensed Professional Civil Engineer

Licensed in the State of New Jersey.

License number
24GE06379100
Profession
Professional Engineer

Graduate Certificate in Applied Data Science

University of California, Berkeley · May 2023

Intelligent Transportation Systems Certificate

University of California, Berkeley · June 2021

Projects

Shared finance · Full stack

Evenly

A responsive receipt-splitting app with item-level allocation, tax and tip distribution, and shareable group balances.
ReactViteMUISupabase AuthPostgreSQLPWAGemini Vision

Computer vision · Compliance

BottleProof

A label-compliance prototype that reads alcohol-label images, extracts key fields, and returns a field-by-field review.
PythonStreamlitTesseract OCROpenCVPillowRapidFuzzpandas

Data visualization · Networks

Visualizing Art

An interactive D3 similarity network for exploring relationships among thousands of museum artworks.
D3.jsPythonEmbeddingsSimilarity dataMetadataImage pipeline

Transportation operations · Planning

Maine Turnpike Lane Closures

A dashboard for analyzing traffic volumes and scheduling lane closures on the Maine Turnpike.
JavaScriptCSV & ExcelVolume heatmapsClosure schedulingProjectionsPDF & Excel export

Financial utility

Mortgage Calculator

A browser-based tool for comparing mortgage payments, amortization, and financing scenarios.
ReactViteJavaScriptAmortizationjsPDFPDF tables

Skills

Software

  • Python
  • TypeScript
  • React
  • Next.js
  • SQL
  • PostgreSQL
  • API design
  • AI workflows

Analytics

  • Data analysis
  • Data science
  • Machine learning
  • Statistical modeling
  • Forecasting
  • Causal inference
  • Simulation
  • Technical writing

Transportation

  • VISSIM
  • Aimsun
  • Synchro
  • FREQ12
  • Traffic operations
  • Dynamic traffic assignment
  • Transit analysis
  • Infrastructure planning

Spatial

  • ArcGIS
  • QGIS
  • AutoCAD
  • MicroStation
  • MATLAB
  • Surveying
  • Photogrammetry
  • Computer vision

Delivery

  • Playwright
  • Browser testing
  • Accessible UI
  • Code review
  • Documentation
  • Requirements
  • Quality assurance
  • Iterative delivery

Publications

2024

ACC, queue storage, and worrisome news for cities

Lapardhaja, S., Godier, J. D., Cassidy, M. J., & Kan, X. D. (2024).

Transportation Research Part C: Emerging Technologies, 167, 104809.

View publication
2024

Commercial Adaptive Cruise Control (ACC) and Capacity Drop at Freeway Bottlenecks

Lapardhaja, S., Gong, Y., Murshed, M. T., & Kan, X. D. (2024).

International Journal of Transportation Science and Technology.

View publication
2024

MicroSimACC: An open database for field experiments on the potential capacity impact of commercial Adaptive Cruise Control (ACC)

Yang, M., Chon-Kan Munoz, P., Lapardhaja, S., Gong, Y., Imran, M. A., Murshed, M. T., Yagantekin, K., Khan, M. M. H., Kan, X. D., & Lee, C. (2024).

Transportmetrica A: Transport Science, 1–30.

View publication
2023

Unlocking potential capacity benefits of electric vehicles (EVs) with adaptive cruise control (ACC)

Lapardhaja, S., Yagantekin, K. U., Yang, M., Majumder, T. A., Kan, X. D., & Badhrudeen, M. (2023).

Transportmetrica B: Transport Dynamics, 11(1), 1894–1911.

View publication
2021

Testing alternative treatments for underused carpool lanes on narrow freeways

Lapardhaja, S., Jalota, D., Doig, J., Almubarak, A., & Cassidy, M. J. (2021).

Transportation Research Part A: Policy and Practice, 149, 139–149.

View publication
2019

Position determination of encoded and uncoded targets on the Large Hadron Collider at CERN

Lapardhaja, S., & Lambrou, E. (2019).

Applied Geomatics, 11(4), 429–437.

View publication

Recognitions

Thomaidio Award

Four-time recipient for the highest GPA in NTUA’s School of Rural and Surveying Engineering.

Papakyriakopoulos Award

Recognized for the highest average grade in Mathematics at NTUA.

2014—2015

Kritikou Scholarship

Awarded for academic performance in Mathematics at NTUA.

2019

Chrisovergi Award

Granted for graduating first in the 2019 NTUA class.

2019

Academic Excellence

Greek State Scholarships Foundation recognition for graduating first in class.

2018—2019

Lambadarios Award

Academy of Athens award for the highest GPA in geodetic courses among Polytechnic graduates in Greece.

2019—2020

UC Berkeley Fellowship

Full fellowship at the University of California, Berkeley.

2022—2023

ITS California & CTF

ITS California and California Transportation Foundation Scholarship.

Professional inquiries

Contact

For conversations about AI engineering, transportation systems, data, or research.

Email

servetlap29@gmail.com

The best way to reach me for professional questions, collaboration, or research.

LinkedInGitHub