I’m a Senior Software Engineer with 7+ years of experience building production software, automation systems, data extraction pipelines, backend services, and cloud-integrated applications.
My current engineering direction is focused on:
- Backend Engineering with Python, FastAPI, Node.js, REST APIs, SQL and distributed workflows
- Applied AI & LLM Applications using local models, structured extraction, deterministic logic and human-in-the-loop workflows
- Automation Engineering with Playwright, Puppeteer, Selenium and Cypress
- Cloud & DevOps with AWS, Docker, GitHub Actions and CI/CD
- Data Engineering & Extraction with Python, Pandas, SQL, Scrapy and web-data pipelines
I’m especially interested in roles where backend engineering, automation, data and applied AI meet.
A local-first AI-assisted workflow for evaluating job opportunities against a candidate CV.
What it demonstrates:
- PDF CV parsing and uploaded/default candidate profiles
- Local LLM integration with Ollama / Llama 3.2
- Structured job requirement extraction
- Deterministic and explainable CV-to-job matching
- Skill-gap, experience and language analysis
- AI-assisted cover-letter generation
- Human approval workflow
- SQLite persistence and duplicate-application protection
- FastAPI backend and Swagger documentation
- Docker containerization
- Pytest automated testing
- GitHub Actions CI with automated tests and Docker build verification
Architecture:
CV + Job Description
↓
Local LLM / Parser
↓
Structured Job Data
↓
Deterministic Matcher
↓
Score + Skill Gaps + Recommendation
↓
Cover Letter → Human Approval → SQLite
More technologies I work with
JavaScript, TypeScript, React.js, MongoDB, Redis, Pandas, Scrapy, BeautifulSoup, WebdriverIO, Mocha, REST APIs, Linux, Kubernetes and CI/CD workflows.
What I bring to engineering teams
- Design and implementation of backend APIs and automation workflows
- Large-scale browser automation and web-data extraction
- Production debugging, test automation and reliability improvements
- Dockerized development and deployment workflows
- Cloud-integrated applications and CI/CD pipelines
- Mentoring engineers and collaborating across product, QA and engineering teams
| Project | Focus | Stack |
|---|---|---|
| AI Job Application OS | Local-first AI, CV matching, explainable scoring, workflow automation | Python, FastAPI, Ollama, Docker, SQLite, Pytest, GitHub Actions |
| Distributed Web Scraping Platform | Scalable extraction and processing workflows | Python, Scrapy, Celery, Redis, Docker |
| Browser Automation Systems | End-to-end workflow automation and extraction | TypeScript, Playwright, Puppeteer, Selenium |
| Backend & Data Workflows | APIs, persistence, reporting and processing | Node.js, Python, PostgreSQL, MongoDB |
I’m open to opportunities in Backend Engineering, Software Engineering, Automation, Data Engineering and Applied AI.
Backend • Automation • Data • Applied AI