Experience
Remote · Sep 2021 - Present
Generate and curate high-quality training data that sharpens software engineering AI models.
- RESEARCH programming concepts and craft prompts that stress-test large language models.
- Author, execute, and review code across PYTHON, GO, JAVA, C#, and other languages to validate outputs.
- Provide actionable feedback through CODE REVIEW to elevate dataset quality and model reliability.
- Audit AI-generated explanations to ensure training materials align with sound engineering practices.
Remote · Mar 2020 - Sep 2021
Designed scrapers, automations, and lightweight tooling tailored to client workflows.
- Built serverless web scrapers with PYTHON, SELENIUM, and AWS LAMBDA to collect and clean critical data.
- Automated financial tracking with Google Sheets dashboards that surfaced real-time insights for clients.
- Improved WOOCOMMERCE inventory security and veterinarian data pipelines with custom integrations.
- Adapted quickly to new domains, including PINESCRIPT analytics and Word/Excel document generation.
Projects
https://bunny.recipes (locked) demo @ https://bruteforc.ing
AI-assisted meal planning platform that converts recipe URLs into editable, structured cooking workflows.
- Parsed food blogs through the OPENAI API to normalize ingredients, steps, and nutritional estimates into a custom JSON schema.
- Built SVELTE-based recipe cards and a calendar planner where users tweak portions or request AI-driven adaptations (e.g., vegetarian variations).
- Aggregated weekly and monthly nutrition insights as users drag-and-drop meals to schedule across the app.
Database Management Course Capstone
Led a team of four to build a decentralized web mapping system backed by MySQL and Cassandra.
- Implemented GO‑based crawlers and REST APIs to distribute scraping workloads across machines.
- Seeded domain data with an ICANN DNS zone transfer file and orchestrated MICROSERVICES for ingestion.
- Combined relational and NOSQL queries with PYTHON to deliver fast, federated search results.
Engineered a microservice architecture that tracks keyword trends and engagement in real time.
- Scraped live chats with GO, SELENIUM, and CHROMEDRIVER to capture streaming conversations.
- Piped metrics into PROMETHEUS and GRAFANA dashboards to visualize sentiment shifts.
- Introduced RABBITMQ for reliable message queuing and high-throughput processing.
Authored a Go framework that lets teams register custom routines triggered by Telegram events.
- Leveraged GO reflection to support dynamic argument parsing and execution.
- Handled concurrent updates with goroutines alongside robust error management.
- Managed TELEGRAM API integration and JSON payload parsing for real-time interactions with GO.
Skills
Education
B.S. Computer Science · May 2024 Bachelor of Science in Computer Science.