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Adam Khan

@adamkhan2

Senior full-stack software engineer building scalable SaaS and AI-powered systems with cloud-native reliability.

United States
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What I'm looking for

I’m looking to build production-grade, cloud-native SaaS and AI systems—leading distributed systems, APIs, and observability. I want a team that values reliability, security (RBAC/SSO), and mentoring while shipping real impact.

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

MA

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%.

Hugging Face logoHF

Senior Software Engineer

Jun 2018 - Jul 2022 (4 years 1 month)

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.

Education

Degrees, certifications, and relevant coursework

University of California, Berkeley logoUB

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).

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