shadrack kahindi
@shadrackkahindi
Senior software engineer building scalable web platforms and safety-focused AI systems for enterprise impact.
United StatesWhat I'm looking for
I’m a senior software engineer with 12+ years of experience building scalable web platforms, real-time ML systems, and cloud-native applications. I specialize in turning complex product and safety requirements into reliable platforms that teams can confidently ship and scale.
At HippocraticAI, I led end-to-end engineering of Polaris, a safety-first generative AI agent platform for non-diagnostic, patient-facing workflows. I scaled it from MVP to enterprise deployment with 99.9% uptime, built clinician/operator dashboards that cut onboarding time by 40%, and improved mobile engagement by 25% through a React Native app with WebSocket live updates.
Previously at Google, I helped build Vertex AI and delivered MLOps infrastructure and developer experiences. I architected and launched core components (Vertex Pipelines, Feature Store, and Experiment Tracker) enabling 80% faster model deployment cycles, and I delivered enterprise-grade ExplainableAI using D3.js, React, and TensorFlow to support regulated-industry compliance and transparency.
I’m known for robust backend architectures, responsive UI development, and cross-functional leadership that accelerates product velocity. I mentor engineers, lead testing and quality strategy, and focus on measurable outcomes—throughput gains, performance improvements, and production reliability.
Experience
Work history, roles, and key accomplishments
Senior Software Engineer
HippocraticAI
Jun 2023 - Present (2 years 9 months)
Led end-to-end engineering of Polaris safety-first generative AI agents, scaling the platform from MVP to enterprise deployment with 99.9% uptime. Built clinician/operator dashboards and a cross-platform React Native app with WebSocket live updates, cutting onboarding time by 40% and increasing mobile engagement by 25%.
Led a 50+ person engineering team to build Vertex AI MLOps infrastructure and developer experience using React, Next.js, TypeScript, and Node.js. Architected Vertex Pipelines, Feature Store, and Experiment Tracker components, enabling 80% faster model deployment cycles and delivering explainable AI capabilities for regulated customers.
Spearheaded full-stack development for Universal App Campaigns (UAC) using React, Node.js, and Firebase, delivering real-time dashboards adopted by thousands of advertisers. Designed low-latency ML inference services and auction bidding algorithms, improving advertiser ROI by 30% and reducing CPA across channels.
Developed internal dashboards using AngularJS, HTML/CSS, and Google Cloud to visualize Ads and YouTube ML performance metrics, reducing model iteration time by 20%. Built FastAPI backend services with Redis and PostgreSQL for automated data ingestion and training pipelines, increasing job throughput by 35%, and contributed to migrating from Sibyl to TensorFlow Extended (TFX).
Education
Degrees, certifications, and relevant coursework
University of California, Berkeley
Bachelor's Degree, Computer Science
2010 - 2014
Earned a Bachelor's degree in Computer Science at the University of California, Berkeley from 09/2010 to 03/2014.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
Interested in hiring shadrack?
You can contact shadrack and 90k+ other talented remote workers on Himalayas.
Message shadrackFind your dream job
Sign up now and join over 100,000 remote workers who receive personalized job alerts, curated job matches, and more for free!
