# Chad Koslovsky
Staff Software Engineer, AI Tools · applied AI product engineering
Loveland, Colorado · chad@koslovsky.xyz

## Target
Staff Software Engineer, AI Tools at Pinterest · United States

## Profile
I turn AI capabilities into product workflows with a clear user, structured outputs, evaluation, and human review where judgment matters. I pair that applied-AI work with full-stack ownership, production architecture, and the ability to move from an ambiguous problem to a usable system.

## Relevant strengths
- Technical leadership and collaboration
- Platform engineering and operations
- Applied AI and automation
- Full-stack product engineering
- Data systems and reliability

## Relevant experience
- **Founder-led product delivery:** Earned Upwork's Top Rated badge and ranked among its top 10% of freelancers before building a referral-based practice. Usually served as the only engineer or lead engineer, helping teams ship products and fundraising systems used in raises totaling millions of dollars and managing smart contracts that held millions in value.
- **End-to-end product platform:** Designed and built a Next.js, TypeScript, PostgreSQL, and containerized platform spanning CRM, support, scheduling, meetings, billing, analytics, infrastructure telemetry, and AI-assisted workflows.
- **Datacenter and platform operations:** Led end-to-end technical readiness and infrastructure remediation for annual SOC 1 and SOC 2 audits under SSAE 18 at a 30,000-square-foot commercial data center in Fort Collins serving enterprise clients, maintaining compliance. Served as the primary technical point of contact for external auditors, translating infrastructure architecture, access controls, and failover protocols into audit artifacts. Owned disaster recovery and backup verification protocols, including automated testing schedules, and drafted and enforced engineering SOPs aligned with audit control objectives; the organization passed every year I led the process. Led the NOC team and served as the primary on-call engineer for escalations while designing and managing monitoring systems. Modernized workloads into Docker, Swarm, and Kubernetes platforms and codified deployment with Terraform, Ansible, and CI/CD. Migrated legacy monitoring from Nagios to Zabbix through a multi-step cutover that included a severely unhealthy legacy database environment costing roughly $10,000 per month in AWS charges.
- **Applied AI inside real products:** Builds AI into product workflows through retrieval, structured outputs, classification, natural-language interfaces, orchestration, evaluation, and human review while keeping architecture and product judgment explicit.

## Focus for this application
The relevant match is the full loop from customer problem and prototype through quality evaluation, product integration, and production ownership.

## Links
- Resume: https://chad.koslovsky.xyz/resume/chad-koslovsky-resume.pdf
- LinkedIn: https://www.linkedin.com/in/chadkoslovsky
- GitHub: https://github.com/Ravonus