# Chris Lasher > Product-minded software engineer. Location: Sharon, Pennsylvania, United States Profile: https://flows.cv/chrislasher ## Work Experience ### Staff Software Engineer @ Tiny IG Software Jan 2024 – Present | Greater Pittsburgh Region Helping our clients build software that is maintainable and well-suited to their current and future needs, with a flair for collaboration. • Created a service synchronizing data across two SaaS platforms’ proprietary APIs for stealth-mode compliance startup, opening opportunity for $50M in sales. AWS Lambda, AWS CDK, Node.js, TypeScript, Zod, Hono, OpenAPI. • Prototyped React Router fullstack app deployment to AWS Lambda as target platform. React, Remix/React-Router, Type- Script, Node.js, AWS Lambda, AWS CDK. • Developed a web UI for stealth-mode ERP SaaS. React, Remix/React Router, TypeScript, Node.js, shadcn/ui, Tailwind CSS. ### Staff Software Engineer @ Honor Jan 2022 – Jan 2023 Automated and improved the quality of matching our care professionals to our clients in need of at‐home care. • Converted new-hire matchmaking system to an event-driven architecture. Cut the time new hires waited for work from 1 day to under 2 minutes. Implemented in Amazon SNS and SQS, with a Python worker running in EKS (Kubernetes). • Created a self-service prototype to expose automated matchmaking outcomes to operations staff. Decreased pages by 90% and saved 10+ hours per week for on-call engineers. Prototyped using tracing in Datadog and MySQL for data storage. • Rewrote the automated matching service's API to surface prescient matchmaking outcomes in a new UI for our operations team. Reduced the time to assign staff from 4 hours to under 30 minutes. Defined the RPC API in Apache Thrift, implemented using Flask and Python, and integrated with a React user interface. • Integrated a machine-learning model for market-wide matching into the staffing pipeline, cutting down operations teams' time spent on long-term staffing by up to 50\% in specific markets. Created RPC API to provide market information and receive suggestions, defined with Thrift, and implemented with Flask and Python. ### Senior Software Engineer @ Oden Technologies Jan 2021 – Jan 2021 Improved the collection and presentation of near‐real time data from manufacturing plants to process engineers. • Refactored a critical-path data streaming pipeline, reducing cloud spending costs by 25%. Pipeline implemented in Java Apache Beam on Google Cloud Platform's Dataflow. • Increased observability of production systems by adding distributed tracing, cutting mean time to resolution of production issues from 1 day to 1 hour. Tracing added into a Go GraphQL backend service on Google Kubernetes Engine, through our Python machine-learning Google Cloud Functions, and exported to Honeycomb. • Enabled anomaly detection and investigation of time series data from manufacturing lines. Increased manufacturing process engineers' same-week engagement by 20%. Analysis implemented in Python with SciPy, UI implemented in Highcharts and React with a GraphQL Go backend, microservice interaction over gRPC, with persistence in Google Cloud SQL and Heroic time series DB. • Introduced ensemble programming (mob programming) and pair programming to the team, reducing pull request (PR) wait time from 4+ days to 4 hours, and eliminating 50% of PRs. ### Senior Software Engineer @ Invitae Jan 2019 – Jan 2020 Developed high‐throughput annotation pipelines and report automation of patients’ genetic testing results. • Put the release of a $75M USD investment in non-invasive prenatal genetic screening (NIPS) back on schedule by delivering critical features in our variant annotation pipeline. The NIPS product served 50+ unborn patients and their families per day. Pipeline implemented in Python (Django, SciPy) with a Postgres database. ### Software Engineer @ HI Digital Solutions Jan 2017 – Jan 2019 Produced business intelligence software for Home Instead Senior Care. • Replaced two internal services with serverless technologies, saving $12,000 in cloud spending and 120 hours of support work per year. Azure Cloud Functions implemented in .NET Core (C#) with Azure Cosmos DB. • Delivered a service synchronizing 100+ daily client leads to internal CRM system. The service had zero known or reported bugs and outages during the 3+ years of its lifetime. Service implemented in Python with a SQL Server database. • Led adoption of ensemble programming (mob programming), leading to an 8X reduction in change failure rate while maintaining rate of delivery. ### Software Engineer & Bioinformatics Analyst @ 5AM Solutions Jan 2012 – Jan 2017 | Rockville, Maryland, United States Delivered and optimized cloud‐based assay design pipelines, validation software, and web UIs. • Rewrote an assay design pipeline generating $5M+ annual revenue. Customer wait time decreased 50% while assay quality improved by up to 45%. Migrated pipeline from Perl and Java to Python with an Oracle database. • Led adoption of automated testing, TDD, configuration automation, and continuous integration. Production rollbacks decreased 90% while deployment frequency increased from every 2 months to every 2 weeks. Client satisfaction resulted in closing $10M+ in additional contracts over two years. ## Education ### Doctor of Philosophy - PhD in Genetics, Bioinformatics, and Computational Biology Virginia Tech ### Bachelor of Science - BS in Biology, General The University of Georgia ## Contact & Social - LinkedIn: https://linkedin.com/in/chris-lasher-prod - Website: https://www.gotgenes.com/ --- Source: https://flows.cv/chrislasher JSON Resume: https://flows.cv/chrislasher/resume.json Last updated: 2026-03-22