██████╗ ██████╗ ██████╗ ████████╗███████╗ ██████╗ ██╗ ██╗ ██████╗ ██╔══██╗██╔═══██╗██╔══██╗╚══██╔══╝██╔════╝██╔═══██╗██║ ██║██╔═══██╗ ██████╔╝██║ ██║██████╔╝ ██║ █████╗ ██║ ██║██║ ██║██║ ██║ ██╔═══╝ ██║ ██║██╔══██╗ ██║ ██╔══╝ ██║ ██║██║ ██║██║ ██║ ██║ ╚██████╔╝██║ ██║ ██║ ██║ ╚██████╔╝███████╗██║╚██████╔╝ ╚═╝ ╚═════╝ ╚═╝ ╚═╝ ╚═╝ ╚═╝ ╚═════╝ ╚══════╝╚═╝ ╚═════╝
user@portfolio:~$
./whoami.sh
Cezar Trusca
Software Engineer & Data Scientist
user@portfolio:~$
cat bio.txt
NAME::=Cezar Trusca
ROLE::=Software Engineer · Data Scientist · ML Engineer
LOCATION::=Las Vegas, Nevada 🇺🇸
LANGUAGES::=Python · Rust · SQL · TypeScript · R · Bash
INTERESTS::=Network Analysis · Bioinformatics · Systems Design · ML Ops
STATUS::=✔ Available for new roles (remote / hybrid / relocation)
BIO::=Data scientist and backend engineer who likes turning messy real-world data into clean, actionable insights. Currently building multiomics network analysis pipelines for inflammatory bowel disease research. Strong believer in reproducible code, good documentation, and systems that are boring in the right ways.
user@portfolio:~$
cat skills.json | jq .
Languages
Python95%
[████████████████████░] advanced
SQL88%
[█████████████████░░░░] advanced
Rust70%
[██████████████░░░░░░░] intermediate
TypeScript75%
[███████████████░░░░░░] intermediate
R80%
[████████████████░░░░░] proficient
Bash / Shell82%
[████████████████░░░░░] proficient
Data & ML Stack
PyTorch / scikit-learn90%
[██████████████████░░░] advanced
Apache Spark78%
[███████████████░░░░░░] proficient
DuckDB / Postgres87%
[█████████████████░░░░] advanced
Docker / Kubernetes72%
[██████████████░░░░░░░] intermediate
Network Analysis85%
[█████████████████░░░░] advanced
Cloud (AWS / DNAnexus)76%
[███████████████░░░░░░] proficient
user@portfolio:~/projects$
ls -la --color=auto
DIGEST
★ multiomics
Graphical LASSO + network diffusion pipeline for IBD multiomics on UK Biobank (89K participants). Prior-informed sparse network across genomics, metabolomics, proteomics, and exposome layers.
RustBot
★★ systems
High-performance FPS game bot in Rust using YOLO11/ONNX for real-time object detection. Three-tier decision architecture: Utility AI, Behavior Trees, and direct action layer.
BigData Pipeline
★ analytics
Distributed ETL pipeline with Apache Spark and DuckDB for large-scale data cleaning, schema normalization, and analytical queries. Covers MapReduce, RDDs, and DataFrames.
iOS Agent Loop
★ automation
Apple Shortcuts-based AI agent with tool-calling via delimiter parsing, Reminders integration, App Store metadata lookup via iTunes API, and Claude Haiku orchestration.
user@portfolio:~$
git log --oneline --graph --decorate
a3f1c8d
Graduate Researcher — University of Twente
M.Sc. Thesis · Bioinformatics & Network Science
📅 Sep 2024 – Present · Las Vegas, Nevada
- Designing and implementing DIGEST: a prior-informed Graphical LASSO + network diffusion pipeline for IBD multiomics on UK Biobank data (N≈90K)
- Processing and integrating 4 omics layers: genomics, NMR metabolomics, proteomics, and exposome on DNAnexus RAP cloud platform
- Developed reproducible analysis notebooks with synthetic validation strategies
7b2e944
Data Engineering Intern — Tech Startup
Backend · Data Pipelines · API Design
📅 Jun 2023 – Aug 2023 · Remote
- Built and maintained ETL pipelines processing 5M+ daily events using Spark and Postgres
- Designed REST APIs in Python/FastAPI for internal data platform serving 3 product teams
- Reduced query latency by 40% via query plan analysis and indexing strategies
d9c4f17
Junior Software Developer — Freelance
Full Stack · Automation · Tools
📅 2021 – 2022 · Remote
- Delivered web apps and automation scripts for 6+ clients across e-commerce and analytics domains
- Built scraping + reporting pipelines in Python reducing client manual work by ~70%
user@portfolio:~$
man education
EDUCATION(1)
Academic Manual
EDUCATION(1)
NAME
Cezar Trusca — data scientist, researcher, and engineer
SYNOPSIS
M.Sc. Data Science [2023–2025] University of Twente, Las Vegas NV
B.Sc. Computer Science [2019–2023] University of Applied Sciences
B.Sc. Computer Science [2019–2023] University of Applied Sciences
DESCRIPTION
Master's program with specialisation in intelligent systems and data engineering.
Thesis focus: multiomics network analysis for inflammatory bowel disease using UK Biobank cohort data,
applying Graphical LASSO, network diffusion (MONIKA),
and prior-knowledge integration across biological data layers.
Bachelor's programme covered algorithms, databases, software architecture, and systems design. Graduated cum laude with distinction in distributed systems module.
Bachelor's programme covered algorithms, databases, software architecture, and systems design. Graduated cum laude with distinction in distributed systems module.
RELEVANT COURSEWORK
Big Data (5294BIDA6Y) · Reinforcement Learning · Statistical Learning Theory ·
Bioinformatics · Cloud Computing · Advanced Algorithms · Deep Learning
SEE ALSO
skills(1), projects(1), contact(8)
University of Twente
2025
EDUCATION(1)
user@portfolio:~$
./send_message.sh --interactive