Servet Lapardhaja

Engineering portfolio

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

Lead AI EngineerLicensed 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
Portrait of Servet Lapardhaja
Currently atU.S. Department of the TreasuryLead AI Engineer
Based in
New York City
Current focus
AI & data systems

About

I’m a Lead AI Engineer at the U.S. Department of the Treasury, where I lead a team delivering AI-enabled financial management tools while staying hands-on with product engineering. I’m also a licensed Professional Engineer (P.E.) in New Jersey.

At Treasury, I work across team priorities, stakeholder coordination, and hands-on engineering. I build data-rich products and AI capabilities with clear interfaces, reliable data, and careful validation, helping make complex financial workflows easier to use.

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 sealU.S. Department of the Treasury

Oct 2026—Present · Remote

Lead AI Engineer

I lead a team delivering AI-enabled financial management tools while remaining hands-on across product, data, and engineering.

  • Set team priorities and coordinate delivery with finance stakeholders and Treasury leadership.
  • Contribute across React, Next.js, TypeScript, Rust APIs, and PostgreSQL.
  • Built chatbot capabilities to answer finance questions across fiscal years while preserving organization-level access controls.
  • Review changes, coordinate releases, and confirm service health after rollout.
Read more about this role
  • Guide a team building tools for financial management.
  • Balance delivery coordination with hands-on contributions across the product interface, APIs, and data layer.
  • Built chatbot capabilities that answer finance questions across fiscal years while preserving organization-level access controls.
  • Review team pull requests, approve deployments, coordinate releases to staging and production, and confirm service health after rollout.
Team leadershipAI engineeringReactNext.jsTypeScriptRustPostgreSQLDelivery

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