Adam Khan
@adamkhan2
Senior full-stack software engineer building scalable SaaS and AI-powered systems with cloud-native reliability.
What I'm looking for
I’m a Senior FullStack Software Engineer with 13+ years of experience building scalable SaaS platforms, AI-powered applications, and cloud-native systems. I specialize in distributed systems, event-driven architecture, and high-performance APIs, delivering real-world impact across production web environments.
At maxRTE, I architected and launched a multi-tenant workflow orchestration system that automated API-driven operational processes across customer support and logistics, supporting 150K+ daily workflow executions across multi-region Kubernetes environments. I built modular React and TypeScript dashboard systems with real-time WebSocket event streaming, optimized rendering performance, reusable component libraries, and scalable state management—reducing manual operational monitoring by nearly 25%. I also scaled Python and Go microservices for asynchronous event processing, distributed task execution, and background job orchestration across Kubernetes clusters.
I lead AI and reliability efforts end-to-end: I spearheaded an AI-powered incident summarization service integrating LLM APIs, vector search, and semantic retrieval, reducing engineering investigation time during production incidents by ~20%. I defined RBAC authorization standards, audit logging architecture, SSO authentication flows, and tenant-isolated API access control aligned to enterprise compliance requirements. I reduced average API latency from 480ms to 210ms through PostgreSQL query optimization, Redis distributed caching, async request handling, and connection pooling strategies.
I bring strong technical leadership and operational excellence through cross-functional collaboration, mentoring, and observability improvements. I improved service resiliency and observability with distributed tracing, centralized logging, proactive monitoring, and incident response optimization, and I reduced Kubernetes infrastructure costs by optimizing autoscaling behavior, workload scheduling, and container resource allocation.
Experience
Work history, roles, and key accomplishments
Senior Software Engineer
MaxRTE
Oct 2022 - May 2026 (3 years 7 months)
Architected and launched a multi-tenant workflow orchestration system supporting 150K+ daily executions across multi-region Kubernetes environments. Reduced manual operational monitoring by ~25%, lowered API latency from 480 ms to 210 ms, and cut production incident investigation time by ~20%.
Engineered backend infrastructure for AI inference APIs and model-serving services handling millions of monthly inference requests. Built real-time React/Next.js research applications and scaled ingestion pipelines using Kafka and Kubernetes for high-volume, fault-tolerant processing.
Software Engineer
CVS Health
Apr 2014 - May 2018 (4 years 1 month)
Developed pharmacy management and prescription tracking features used across large-scale healthcare applications. Designed microservices and APIs in Python and Node.js to support healthcare data exchange, pharmacy workflows, and transaction processing while improving performance and backend reliability.
Contributed to internal web tooling and frontend performance optimization initiatives. Supported open-source engineering workflows including issue triaging, debugging, and automated testing improvements.
Supported backend infrastructure tooling and cloud service automation initiatives within AWS engineering teams. Assisted with distributed systems monitoring and operational tooling to improve infrastructure reliability.
Education
Degrees, certifications, and relevant coursework
University of California, Berkeley
Bachelor of Science, Computer Science
2008 - 2012
Earned a Bachelor of Science in Computer Science from the University of California, Berkeley (2008–2012).
Availability
Location
Authorized to work in
Job categories
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