Yuliang Peng
Transport Policy (2026) Paper Published

Hi, I'm Yuliang Peng.

Actively Seeking Software Engineer & Machine Learning Engineer Roles

Computer Science at University of Maryland. Passionate about building scalable infrastructure, distributed systems, and exploring the mathematics of AI.

02. Industrial History

Work Experience

Software Engineer Intern

ICBC USA · Financial Operations Systems Jun 2026 — Aug 2026 | Los Angeles, CA
  • Built Python/SQL services for exception-processing workflows across four digital-banking operations, validating transaction and document inputs and routing cases through retry, review, escalation, and resolution states.
  • Designed SQL-backed case-state and audit models for 200+ financial exceptions, capturing lifecycle transitions, failure reasons, reviewer actions, and compliance outcomes for end-to-end traceability.
  • Developed reconciliation and monitoring workflows for deposit and card-payment failures, reducing repeated case lookup and follow-up effort by 20% while improving operational visibility and auditability.

Software Engineer (Full-time)

ModeSens · Data Infrastructure Apr 2025 — Sep 2025 | Remote, USA
  • Built Python/AWS data-ingestion pipelines for 30+ external retailer feeds, normalizing heterogeneous product, pricing, availability, image, and purchase-link schemas into unified catalog records.
  • Productionized ingestion and matching workflows with SQL-backed audit, reconciliation, validation, and CI/CD checks, reducing processing failures by 20% and manual duplicate review by 80%.
  • Developed a multi-stage matching pipeline combining depth-derived shape embeddings, perceptual hashing, and SSIM, improving match accuracy by 25% across noisy external data sources.

Software Engineer (Full-time)

Bank of China · Transaction Processing & Reconciliation Jul 2024 — Apr 2025 | Los Angeles, CA
  • Built Java/Spring Boot transaction-processing and reconciliation services exposing APIs for transaction status, retry history, failure reason, settlement state, and downstream reporting.
  • Implemented PostgreSQL transaction models with idempotency keys, lifecycle checks, and audit trails to detect duplicate requests, invalid state transitions, and missing settlements.
  • Resolved 70+ production incidents through log analysis, root-cause isolation, and pipeline fixes; added Grafana monitoring for p95 latency, reconciliation gaps, retries, and failed jobs, reducing incident-triage time by 30%.

Software Engineer Intern

All People Jan 2024 — May 2024 | Remote, USA
  • Built Node.js/Express APIs and optimized SQL queries for a marketplace platform, improving transaction performance by 15%.
  • Built Python ETL pipelines to aggregate user behavior data and support analytics features for recommendation workflows.

Software Engineer Intern

Air China Jun 2023 — Aug 2023 | Chengdu, China
  • Built Spring Boot dashboards and Python data-sync scripts for flight operations, supporting crew scheduling and maintenance logs.
03. Engineering Systems

Featured Projects

InferRoute - LLM Inference Gateway
Google Hackathon Award

InferRoute

Python · FastAPI · Redis · PostgreSQL · Docker
GitHub Documentation Hub

A multi-provider LLM inference gateway integrating OpenAI, Gemini, vLLM, and Ollama with request validation, streaming responses, timeout enforcement, credential isolation, and containerized deployment. Implements TCP Vegas-inspired adaptive concurrency control and sliding-window circuit breakers; sustained 45.2 RPS at 100 concurrent clients with 99.4% success and 120 ms p95 gateway overhead under provider failures. Evaluated on 3.2M WildChat conversations, reducing estimated API cost by 54.2% while retaining 98.8% of baseline quality.

Python FastAPI Redis PostgreSQL Docker Adaptive Concurrency Circuit Breakers LLM Gateway
Quant.ai - Low-Latency Market Replay
High-Performance Quant & Systems

Quant.ai

C++17 · Linux · POSIX Sockets · TCP/UDP · pybind11 · Python
GitHub

A deterministic event-driven market replay and backtesting system featuring a C++17 price-time-priority limit order book supporting amendments, cancellations, partial fills, risk checks, and sequence validation. Implements UDP market-data ingestion and TCP order-entry over POSIX sockets with binary message framing, packet sequencing, gap detection, acknowledgments, timeouts, and reconnect recovery. Profiled with perf/gdb and ASan/UBSan; processed 2.50M events at 507,405 events/sec and 3.8 μs p99 latency with full invariant determinism.

C++17 POSIX Sockets TCP/UDP Limit Order Book pybind11 Python perf & ASan Market Replay
TabIt AI Interface
Featured Systems Project

TabIt - AI Tab Manager

React · TypeScript · Chrome Extension MV3
Store GitHub Documentation

An intelligent web browser workspace extension that implements local semantic grouping of open sessions. Uses custom client-side TF-IDF embeddings and the Leiden clustering algorithm running within multi-threaded Web Workers to resolve similarity mapping across 100+ active browser tabs inside sub-100ms. Runs entirely on-device to enforce user data privacy.

React TypeScript Web Workers TF-IDF Leiden Clustering Manifest V3
03b. More Systems & ML Work

Other Engineering Projects

ApplyPilot AI

ApplyPilot AI

An advanced browser-based AI job application agent. Scrapes page DOM structures, maps fields via heuristics, and leverages Gemini to draft short answers. Persists profiles locally.

React 18 FastAPI Gemini AI Manifest V3
Face Verification MLOps

Face Verification MLOps

Embedding-based face verification evaluated on the LFW dataset. Implements similarity scoring, confusion matrices, and ROC-based threshold calibration. Fully Dockerized CLI verifier.

PyTorch Docker ROC Calibration MLOps
CV & Tactile Depth Prediction

CV & Tactile Depth

Proposed a mathematical framework for sub-micron depth prediction from tactile sensor (DIGIT) images. Reconstructs surface topology using GMM color segmentation and panorama stitching.

Python Computer Vision CNN GMMs
Semantic Product Matcher

Semantic Product Matcher

Architected a high-concurrency ingestion crawler pipeline covering 30+ retailers. Built a similarity engine combining pHash and SSIM to reduce manual validation effort by 80%.

Python Selenium pHash SSIM
Terpiez AR Mobile Game

Terpiez AR Mobile Game

Location-based AR game captured virtual creatures in real-time. Features GPS coordinate tracking, interactive dynamic maps, and player session states using Redis.

Flutter Dart Redis Google Maps
Aviation Resilience Pipeline

Aviation Resilience

Designed analytical pipelines evaluating network-level aviation resilience under systemic shocks. Applied NLP and sentiment analysis to Tripoli and low-altitude review streams.

Python NLP Network Science Sentiment Analysis
Adversarial AI Game Agents

Adversarial AI Agents

Programmed spatial gameplay agents. Implemented pathfinding (A*, DFS), adversarial decisions (Minimax with Alpha-Beta Pruning), and particle filters for state estimation.

Python A* Search Minimax Particle Filter
Neural Network from Scratch

NN from Scratch

Designed and built a zero-dependency deep learning framework from mathematical foundations. Implemented forward/backpropagation, activation layers, and optimizers (SGD, Adam).

Python NumPy Linear Algebra Optimization
04. Scientific Inquiry

Research & Publications

Peer-Reviewed Journal

International Cargo Charter Operations and Preighter Performances in the Context of COVID-19: A Case of China

Chuntao Wu, Xiaohe He, Yuliang Peng
Transport Policy · Vol. 184, Article 104173 · 2026
DOI: 10.1016/j.tranpol.2026.104173
Article Read PDF

Abstract: This research presents the first comprehensive empirical study of international air cargo charter networks and passenger-to-cargo ("preighter") operations under external system shocks. Leveraging a proprietary dataset of CAAC flight permits, we constructed undirected networks at the city level, representing over 80,000 annual flights.

Network Science Methodologies: We formulated the charter logistics system as an undirected graph and computed topological indicators across time-varying snapshots:

  • Average Degree & Path Length: Quantified the densification of hub-and-spoke models, proving structural stability and small-world properties.
  • Node & Edge Betweenness Centrality: Isolated critical routing bridges and tracked dynamic adjustments under intense route volatility.
  • Operational Flexibility: Identified the pivotal structural role of freight forwarders (charterers) who integrated truck-to-air transit to maintain supply-chain robustness.
UMD Research Project

Research Assistant

University of Maryland, College Park Nov 2025 — Apr 2026

GPU-Accelerated Spatiotemporal Event Camera Embeddings

Designed, implemented, and benchmarked event-driven machine learning models. Built custom CUDA kernels to perform high-speed, parallelized feature mapping on sparse spatiotemporal data streams generated by event-based cameras. By merging spatial convolutions with time-decay indices into fused SIMD kernels, achieved microsecond-latency ML inference on continuous high-rate sensory streams.

CUDA C++ PyTorch SIMD Parallelization Event-based Vision
05. Academic Path

Education

Master of Science in Applied Machine Learning

University of Maryland, College Park

Sep 2025 — Expected May 2027 · GPA: 3.8 / 4.0

Relevant Coursework
Data Structures & Algorithms Operating Systems Systems for ML Cloud Computing

Bachelor of Science in Computer Science

University of Maryland, College Park

Sep 2020 — May 2024 · GPA: 3.6 / 4.0 · Dean's List

Relevant Coursework
Machine Learning Computer Vision Robotics Deep Learning Data Structures & Algorithms
06. Core Strengths

Technical Skills

Machine Learning & AI

  • PyTorch
  • TensorFlow
  • CUDA
  • Hugging Face
  • QLoRA
  • PEFT
  • NumPy
  • Pandas

Systems & MLOps

  • Kubernetes
  • Docker
  • AWS
  • GCP
  • Azure
  • Kafka
  • Prometheus
  • Spark
  • PostgreSQL
  • Redis
  • Elasticsearch

Languages & Comms

  • Python
  • C++
  • C
  • Rust
  • Java
  • JavaScript
  • English (Fluent)
  • Chinese (Native)
  • Japanese (Native, N1)