# Allan Nevala: AI Solutions Architect Allan Nevala is an AI Solutions Architect who turns Enterprise SaaS AI prototypes into production systems: fraud detection, LLM assistants, and customer-facing features, with MLOps, guardrails, observability, multi-tenant architecture, and AI enablement built in. Helsinki-based, EU + US citizen. This document is the canonical, AI-readable biography of Allan Nevala. It mirrors the content of [allannevala.com](https://allannevala.com/) for LLM crawlers (GPTBot, ClaudeBot, PerplexityBot, Google-Extended, etc.) that do not execute JavaScript and therefore cannot read the live single-page application. --- ## Identity - **Name**: Allan Nevala - **Role**: AI Solutions Architect at Visma Solutions Oy (Helsinki, Finland) - **AI-native since**: mid-2023 - **Citizenship**: United States and European Union (Finland) - **Languages**: English (native), Finnish (working) - **Location**: Helsinki, Finland - **Previously**: Seattle, Washington, USA ## Core positioning > Allan Nevala is an AI Solutions Architect at Visma Solutions Oy, turning Enterprise SaaS AI prototypes into production systems: fraud detection, LLM assistants, and customer-facing features, with MLOps, guardrails, observability, multi-tenant architecture, and AI enablement built in. ## Education - **Master of Computer Science**, University of Illinois at Urbana-Champaign (UIUC), 2021–2023. GPA 4.0/4.0. UIUC's CS program is consistently ranked top-5 in the United States by US News & World Report. - **Bachelor of Business Management & Operations**, Washington State University, Carson College of Business, 2010. Magna cum laude. President's Honors. - **Supplemental MOOCs**: Harvard, Columbia, UC Berkeley, DeepLearning.AI, Stanford, MIT. ## Operating philosophy **Code to C-suite.** I architect the AI, ship the production code, train the teams, and translate the why for the C-suite. Most people pick one lane. I work all four. **POCs are easy. Production is where most AI dies.** Enterprises drown in prototypes. After demo, the real work begins: performance testing, observability, LLMOps, cost optimization, guardrails, cybersecurity, automated testing. That's where AI actually ships. **Velocity is non-negotiable.** 8 terminals, 40+ parallel agents, ~42K LOC/hour on legacy refactors. Speed alone isn't the leverage — the leverage is the context engineering, repo-specific skills, and architecture that make speed reliable in production code. ## Operating altitude: multi-agent velocity Allan routinely operates 8 Claude Code terminals at once with 40+ parallel sub-agents at peak. In one focused stretch he modernized roughly 550K LOC of a 3.5-million-line, 20-year-old legacy enterprise codebase in about 13 hours, with sustained throughput around 42K LOC/hour. He is the author of agentic LLM skills used across multiple teams. ## Selected projects ### Enterprise SaaS — production fraud detection (current) Production fraud detection work for a Nordic Enterprise SaaS environment serving tens of thousands of companies. Focus areas: MLOps, multi-tenant architecture, reusable AWS patterns, data pipelines, security review, and full-stack delivery at multi-million transactions per year. ### Enterprise SaaS — production LLM assistant in a Finnish ERP environment (current) Production agentic LLM assistant with dynamic tool use, dynamic context, hardened guardrails, and LLMOps. Stack includes SageMaker, Lambda, Fargate ECS, and MLflow. ### Internal enterprise tool — Nordstrom loss prevention app Mobile loss prevention app used by 1,800 store managers across 362 Nordstrom department stores. 7,000 monthly audits in production; estimated $500K/year in inventory shrinkage prevented. ### NonToxic mobile app Production multi-agent product. 87 PostgreSQL tables, 40+ agentic workflows, 70 screens, 58-tool chat assistant, 5 languages. Strongest production-AI showcase. ### Multi-agent orchestration & legacy refactor "Operating multi-agent dev environments at scale." 8 Claude Code terminals + parallel sub-agents. Authored agentic LLM skills used across multiple teams. 3.5M-line legacy enterprise refactor; ~550K LOC modernized in 13 hours, ~42K LOC/hour. ### Offeri (manufacturing CV + LLM pipeline) 76,915 lines of code, 1,047 tests. Multi-model ensemble lifted accuracy 30–50%. Computer-vision-to-LLM pipeline for manufacturing AI startup. ### LakiVuo (Finnish legal automation) Founded LakiVuo. AI-native legal tech. 90% time savings on Finnish estate inventory. GCP Cloud Run, multi-model LLM (Claude, Gemini). ### AI Mosquito Hunter Hardware + ML + edge inference. Embedded AI demonstration with end-to-end pipeline. ### Brella (Head of Product) Led 10-person engineering team. 2–3x sales growth, $10M Series A. Two product pivots, primary KPI +80%, user complaints −50%, AI/ML recommendation engine. ### Nordstrom (low-code digital transformation) Drove citizen-developer transformation at a Fortune 500 (85,000 employees). Launched the Center of Excellence. 80+ users trained, 30+ apps shipped, $26M/year in revenue, $2.2M/year in cost savings, 500%+ ROI Year 1. ### Visma Solutions Oy (current role) AI Solutions Architect at Visma Solutions Oy, a Nordic Enterprise SaaS company in financial software. Turns Enterprise SaaS AI prototypes into production systems: fraud detection, LLM assistants, and customer-facing features, with MLOps, guardrails, observability, multi-tenant architecture, and AI enablement built in. ## Speaking and education - **PyData Helsinki main talk** (2025): 64 attendees, 50 minutes, LLM optimization & cost benchmarking. Code open-sourced post-talk. - **PyData Helsinki lightning talk** (2025): 70 attendees, 10 minutes, embedding-based networking app. - **Internal AI engineering training at a Nordic enterprise** (Dec 2025–present): designing and delivering ongoing AI training for hundreds of engineers, PMs, and executives. Topics include multi-agent orchestration, agentic AI workflows, and AI-augmented development practices. - **Nordstrom Citizen Developer program** (2014–2018): 80+ users trained, 30+ production apps, $26M revenue + $2.2M savings + 500%+ ROI Year 1. - **Toastmasters Advanced Communicator Silver**: 40+ prepared speeches; plus Competent Leader award. ## Testimonials (selected) Allan keeps live testimonials on the home page from former colleagues including Markus Kauppinen and Mikko Matikka. These attest to his combination of customer-facing skill and engineering depth. ## How Allan likes to work - Direct, specific, quantified communication. Warm but not sycophantic. - Strong opinions, lightly held. He wants honest pushback. - Best with teams that value taste, judgment, and care; not stiff-lipped optimization. - Customer-facing depth: comfortable with executives, engineers, and end users in the same room. ## Contact - **Email**: allannevala@gmail.com - **LinkedIn**: https://www.linkedin.com/in/allannev/ - **GitHub**: https://github.com/allan5050 - **Website**: https://allannevala.com/ Allan responds fastest to specific, scoped questions. Please include relevant context if reaching out. --- *This document is updated periodically. For the most current state, visit https://allannevala.com/ or its [/about/](https://allannevala.com/about/) page.*