ACTIVE/neuro-symbolic-planner
Neuro-Symbolic AI Study Planner
AI-driven planner integrating complex state management and symbolic reasoning.
View detailsAvailable for opportunities
Jose Setiawan Senjaya
Software Engineer|Dalyell Scholar
Jose Setiawan Senjaya
Sydney, Australia
Building high-performance systems at the intersection of quantitative finance and human-computer interaction. Dual-majoring in Computational Data Science and Financial Economics.
PythonTypeScriptDuckDBPolarsFlutterNext.js
Jose Setiawan Senjaya
Available
Software Engineer & Dalyell Scholar
Sydney, Australia
system_metrics.sh
$ whoami
josesetiawan2@gmail.com
$ cat focus_areas.txt
> Computational Data Science
> Financial Economics
> Human-Computer Interaction
$ uptime
System active since 2026 | 99.97% availability
$_
●feat: implement telemetry dashboard|2h ago
◆API Latency|↓42ms
■Build Status|PASSING
●fix: optimize canvas rendering|5h ago
◆Uptime|↑99.97%
●refactor: modular component architecture|1d ago
◆Response Time|→120ms
■Deployment|ACTIVE
●docs: update API documentation|2d ago
◆Cache Hit Rate|↑94.2%
●feat: implement telemetry dashboard|2h ago
◆API Latency|↓42ms
■Build Status|PASSING
●fix: optimize canvas rendering|5h ago
◆Uptime|↑99.97%
●refactor: modular component architecture|1d ago
◆Response Time|→120ms
■Deployment|ACTIVE
●docs: update API documentation|2d ago
◆Cache Hit Rate|↑94.2%
Performance Metrics
Live
Skill Telemetry
01Full-Stack Development
0%
02Python
0%
03TypeScript/React
0%
04Data Engineering
0%
05DuckDB/Polars
0%
06R/Statistics
0%
07Machine Learning
0%
08System Architecture
0%
Primary
Secondary
Emerging
AVG: 76%
Focus Areas
Full-Stack Engineering
Building scalable web applications with modern frameworks and clean architecture.
Next.jsReactTypeScriptNode.js
Data Engineering
Processing and analyzing large datasets with high-performance tools.
DuckDBPolarsPythonSQL
Quantitative Finance
Developing analytical systems for market data and portfolio optimization.
RPythonStatisticsML
HCI Research
Exploring multimodal perception and assistive technologies for better user experiences.
VLMCHI LabUX Research
Featured Projects
Recent work and ongoing research
DEPLOYED/sydney-ctf
Sydney University CTF Platform
Technical puzzle architecture for multi-university cybersecurity events.
View detailsACTIVE/wealth-automation
Personal Wealth Automation
HFT analytics dashboards built with Python, DuckDB, and Polars.
View details