PROJECTS
AI and Software Engineering projects: RAG, agents, evals, model adaptation, rigorously evaluated Machine Learning, and reliable backend systems. Each case defines contributions, trade-offs, and evidence.
AI Engineering · RAG · Agents
Production-oriented AI operations copilot with Python/FastAPI, evidence-grounded RAG, hybrid retrieval and bounded LangGraph agents; GitLab actions require human approval.
Evidence-grounded retrieval, deterministic authorization, approval-bound actions, evals and AI observability; independent post-release OpenAI and GitLab sandbox integration evidence.
AI Engineering · Model evaluation
Model evaluation and domain adaptation with a deterministic baseline, local LLM, hybrid policy, frozen held-out and human review; Jev/Laya experiments stay outside the runtime.
System implementation, frozen evaluation, and Laya adaptation with PyTorch/CUDA and validation-based selection; Jev and Laya remain evaluation-only.
AI Engineering · Machine Learning
Defect-risk ranking to prioritize code review. In the historical raw RF evaluation, reviewing ~30% of modules captured 71.26% of known defects.
Evaluation without duplicate-vector contamination, comparisons at equal review capacity, calibration, uncertainty and frozen-artifact inference.
Software Engineering · Reliability · Cloud
Transactional API with idempotency and failure resilience, validated in a temporary AWS lab and a reproducible local Docker benchmark.
End-to-end IaC, temporary deployment, troubleshooting, functional validation, operational evidence, destroy, and resource audit.
Software Engineering · Backend
Backend foundations in TypeScript, Node.js, Express, PostgreSQL and Prisma, with Clean Architecture, domain modeling, TDD, JWT authentication and per-user isolation.
Authored a TDD-developed API with JWT authentication, per-user isolation, ownership-based authorization, data integrity, and production hardening.
Web development · Performance
Web development for the agency website and blogs, including customization, new features, and performance work.
Full-stack work on the agency site and two WordPress blogs, spanning theme customization, performance, and server deployment.
Software · Operations
Development of an internal request management solution integrated with GitLab, in the context of EVAG’s operational needs.
Building the internal support solution and its GitLab integration to give demands a traceable flow.
Automation · Process
Process automation for generating petition pages, connecting Google Drive and WordPress.
Designed and built the automation that turns Google Drive content into published WordPress pages.
LET’S TALK
Professional opportunities, partnerships, or a conversation about AI Engineering, software, and product.
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