About
I'm Justin, a cleared veteran and current computer science gaduate student focused on full-stack ETL pipelines and cloud deployment. I enjoy building data-driven applications and deploying scalable cloud infrastructure.
Technical Skills
- Languages: Python, SQL, C/C++, JavaScript/TypeScript
- Frameworks: FastAPI, React, Plotly
- Cloud & DevOps: AWS (EC2, S3, RDS, IAM, CloudWatch, Lambda, CloudFront, Route 53), Docker
- Data & ML: ETL pipelines, PostgreSQL, NLP / sentiment analysis, ML fundamentals
Projects
Real-time financial dashboard built with FastAPI, React, and Tailwind. Streams pricing data and renders interactive charts.
Containerized data pipeline that ingests RSS feeds, deduplicates articles, and applies NLP sentiment scoring to estimate per-ticker market signal. Scheduled via CloudWatch and Lambda, with PostgreSQL storage and S3 archival.
Interactive visualization of Collatz sequences, and others, backed by a PostgreSQL store, with Plotly and Matplotlib for exploring trajectory length and stopping time.
Currently Working On
- Stock Sentiment Pipeline v2: migrating from VADER to a finance-tuned transformer (FinBERT), adding scheduled automation via EventBridge + Lambda, and building a backtest module to evaluate signal quality against historical price data.
- AWS Solutions Architect Associate: certification prep.
- Behavioral analytics side project: early-stage work on forensic-psychology-grounded threat and risk indicators in text data.
github.com/jarchiw
linkedin.com/in/justinarchi