Decebal Dobrica
AI Engineer, Architect & Leader
From GenAI strategy to production RAG systems
Other Expertise
About
With 5+ years of AI/ML experience across fintech, SaaS, and enterprise platforms, I help organizations navigate the GenAI revolution. From strategic adoption to production RAG systems, my approach bridges the gap between executive vision and engineering reality, turning AI skeptics into advocates.
At CyberSpark Systems, I led a GenAI transformation that achieved 40% sprint acceleration by reframing AI as a co-pilot rather than a replacement. I created daily intelligence dashboards, rolled out targeted AI tools, and fundamentally changed how the team approached development.
My AI engineering expertise spans the full stack: from building production RAG systems with AnythingLLM and Groq, to integrating LLMs via the Vercel AI SDK, to pioneering AI-assisted development workflows that amplify developer productivity.
Expertise
GenAI Strategy & Adoption
Leading organizations through GenAI adoption, transforming skeptical teams into AI advocates. Achieved 40% sprint acceleration by bridging the gap between engineering and executive vision.
RAG Architecture
Building production RAG systems with vector databases, embeddings, and intelligent retrieval. Expertise in AnythingLLM, LanceDB, and custom RAG pipelines for personalized AI experiences.
LLM Integration
Integrating LLMs into production applications with Groq, OpenAI, Anthropic, and local models. Optimizing for latency, cost, and quality with streaming responses and intelligent caching.
AI-Assisted Development
Pioneering AI-assisted development workflows with Claude Code, GitHub Copilot, and custom tooling. Building systems where AI amplifies developer productivity without replacing human judgment.
Relevant Case Studies
View allRelated Articles
View allRust & AI Weekly #15: Rust on Workers still needs a runtime plan
Cloudflare's experimental Emscripten integration, Deser 0.10, retained-memory profiling with Ying and a fearless_simd follow-up. Plus Rust 1.99 and the coming Windows host-tool change.
Rust & AI Weekly #14: Miri's fix leaves old caches to clean up
Miri's CI cache leak and its fix, rmcp 3.5.0, Symposium's dependency-aware agent guidance, a careful Wild benchmark comparison, and fastlogging's OpenTelemetry support. Plus Allocator's merge and a funded Cargo maintainer.
Rust & AI Weekly #13: the counters looked fine
Today's issue: dial9 records what Tokio is actually doing in production and no longer needs tokio_unstable to do it, the Rust project warns that prominent maintainers are being targeted through fake job calls, and This Week in Rust's Crate of the Week is a JPEG codec most companies cannot use without a licence conversation. Each entry carries maintenance, latest-release, and adoption signals.
Rust & AI Weekly #12: who is paying for this
Today's issue: NVIDIA put its name and a 2027 roadmap behind CUDA Rust, GPU kernels written in Rust itself, and the paper I marked Assess in June is now a crate with two adopters, Rustls turned ten and explained how a TLS library ships 43 releases without breaking anyone, and Oracle's official pure-Rust database driver reached its third beta the same week Go Weekly celebrated Go's, and nobody in Rust noticed. Each entry carries maintenance, latest-release, and adoption signals.
Rust & AI Weekly #11: the default is the decision
Today's issue: Cargo stabilized the supply-chain control I called cheap last week, the official MCP SDK went from 1.7 to 3.2 in fifteen weeks and broke builds through a minor bump on the way, and a machine wrote 16,748 proof harnesses where fifteen months of humans wrote 725. Each entry carries maintenance, latest-release, and adoption signals.
Rust & AI Weekly #10: what runs before your code does
Today's issue: a crate with 245 million downloads shipped a build script that phoned home for 86 minutes, the Rust tool that would have sandboxed it has been sitting there since 2023, and the ecosystem finally put money on the maintainers whose credentials are the attack surface. Each entry carries maintenance, latest-release, and adoption signals.
Other Expertise
Ready to Work Together?
Let's discuss how I can help with your ai engineer, architect & leader needs.
Discuss AI Strategy