I'm Dax Reilly Manning, a Senior Software Engineer based in Calgary. I design and scale backend systems, AI-assisted features, and full-stack applications, with a focus on C#, Python, JavaScript, Go, and cloud-native API development. I've successfully integrated ML models into production APIs, built distributed architectures, and delivered high-performance services. I enjoy collaborating with founders and product teams in fast-moving remote environments and taking hands-on ownership to deliver reliable intelligent systems.

Dax Reilly Manning

I'm Dax Reilly Manning, a Senior Software Engineer based in Calgary. I design and scale backend systems, AI-assisted features, and full-stack applications, with a focus on C#, Python, JavaScript, Go, and cloud-native API development. I've successfully integrated ML models into production APIs, built distributed architectures, and delivered high-performance services. I enjoy collaborating with founders and product teams in fast-moving remote environments and taking hands-on ownership to deliver reliable intelligent systems.

Available to hire

I’m Dax Reilly Manning, a Senior Software Engineer based in Calgary. I design and scale backend systems, AI-assisted features, and full-stack applications, with a focus on C#, Python, JavaScript, Go, and cloud-native API development.

I’ve successfully integrated ML models into production APIs, built distributed architectures, and delivered high-performance services. I enjoy collaborating with founders and product teams in fast-moving remote environments and taking hands-on ownership to deliver reliable intelligent systems.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Language

English
Fluent

Work Experience

Senior Software Engineer at Crunchbase
September 1, 2022 - October 1, 2025
Designed and implemented distributed backend services using C#, Python, and Go, improving data throughput by 47 percent while supporting multimillion-record ingestion pipelines. Integrated ML models into production APIs including inference services, scoring pipelines, and model versioning workflows. Built scalable REST and GraphQL APIs using containerized microservices on AWS and GCP with automated CI/CD and improved infrastructure reliability. Collaborated with founders and product leadership to define architecture for AI-enriched features, aligning backend design with measurable business outcomes. Optimized service performance, reducing latency by 33 percent through query tuning, caching, and asynchronous processing. Implemented cloud-native observability to improve stability under high traffic.
Software Engineer at QuickFacts Inc
June 1, 2021 - August 1, 2022
Built backend systems using Python, JavaScript, and Ruby to deliver structured public data sets with API reliability exceeding 99 percent for government and enterprise customers. Developed Go-based microservices for ETL and analytical workloads, accelerating processing speed across large demographic datasets by 41 percent. Integrated early stage ML models for trend detection and data quality scoring pipelines. Deployed APIs to AWS and Azure environments, implementing CI/CD workflows and containerized deployments to ensure predictable release cycles. Delivered stable API contracts that supported interactive dashboards and real time filtering; improved dataset consistency using SQL and statistical validation.
Full Stack Engineer at GeologicAI
February 1, 2020 - May 1, 2021
Built production backend services using C#, Python, and JavaScript to process geospatial and geological datasets for scientific partners. Applied ML models for classification and recognition tasks, integrating inference systems into backend pipelines for near real time prediction. Architected cloud hosted microservices on GCP and AWS using Docker and container orchestration workflows. Delivered API first backend features that supported full stack applications used by geological analysts, improving processing reliability by 29 percent. Collaborated with domain scientists to translate mathematical and ML models into stable production services. Implemented monitoring and automated testing practices, reducing regressions and improving uptime across internal tools.

Education

Bachelor’s Degree in Computer Science at University of Calgary
January 1, 2018 - January 1, 2021

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet