# Amish Kushwaha > Software Engineer | Backend, Distributed Systems & Generative AI | ex-VMware / Broadcom Location: San Francisco Bay Area, United States Profile: https://flows.cv/amishkushwaha I’m an experienced Backend Software Engineer with a strong foundation in building distributed, production systems. I started my career at VMware (later Broadcom), working on large-scale, high-availability backend systems used in enterprise environments. I designed and owned core distributed components for the AVI Load Balancer, including a State Cache Manager that improved reliability, concurrency, and performance at scale. More recently, I’ve been building modern AI native backend platforms at US startups, applying the same systems engineering rigor to Generative AI integrations. I treat LLMs as infrastructure components within larger systems, designing services with attention to latency, cost, observability, failure modes, and real-world usage. Across roles, I focus on owning systems end-to-end, shipping to production, and delivering measurable impact through reliable software and workflow automation. Currently exploring backend / software engineer roles in the US. I’m US-based and authorized to work without sponsorship. ## Work Experience ### Software Engineer (Backend, Applied AI) @ BlueFunda Jan 2025 – Present | Los Angeles Metropolitan Area • Designed and owned the backend architecture for a multi-tenant chat platform handling concurrent LLM workloads across providers (OpenAI, Anthropic, Groq), with a focus on extensibility and reliability. • Built event-driven services using Go, Python, NATS, supporting low-latency streaming, asynchronous execution, and fault-tolerant workflows. • Designed and implemented an extensible “Agents Store” by integrating LLMs with Model Context Protocol (MCP) servers, enabling tool-driven workflows across databases, documents, and SAP systems. • Worked closely with the founder and customers to ship production features, demo the AI platform, gather feedback, and iterate on system design. • Developed and deployed a custom Postgres MCP server to expose structured application data for conversational querying within the BlueRequests platform. • Delivered specialized agents such as a SAP Service Generator that created service artifacts from user specs and supported downstream SAP import workflows. ### Software Engineer (Pro Bono / Volunteer) @ BlueFunda Jan 2024 – Jan 2025 | Los Angeles Metropolitan Area • Designed and built real-time, asynchronous chat and comments infrastructure for the BlueRequests release management platform using Go and NATS. • Developed the initial version of BlueFunda AI assistant chat client that later evolved into the production multi-LLM chat experience. ### Software Engineer (Backend, Applied AI) @ ArceusX Jan 2025 – Jan 2025 | San Francisco Bay Area • Built a platform for the early-stage startup to automate VC investment research and due diligence workflows using agentic LLM workflows. • Reduced manual analysis time from hours to under 10 minutes using LLM-based automation and Retrieval-Augmented Generation (RAG) pipelines. • Engineered entity-extraction and deep-research agents using LangGraph with OpenAI and Perplexity APIs to reduce manual analyst loops. • Built a RAG-driven Document Q&A engine to deliver citation-backed deal insights and significantly reduce analyst effort. • Developed a Doc2Md conversion pipeline integrating multiple parsers (MarkItDown, Docling, LlamaParse, etc) and LLM providers, benchmarking accuracy / latency trade-offs to achieve ~3x faster parsing throughput for pitch decks and investment documents. • Worked closely with founders to shape AI system architecture and delivery priorities. ### Member Of Technical Staff @ VMware Jan 2022 – Jan 2024 | Bengaluru, Karnataka, India • Designed and owned the State Cache Manager (SCM) in Go, a critical distributed component of the AVI Load Balancer used in high-availability enterprise environments. • Improved state processing that reduced state convergence latency by 42% in 25K+ virtual-service environments through concurrency, caching, and data-structure optimizations. • Refactored legacy SCM services and APIs from Python to Go, reducing memory footprint by 30% and improving long-term scalability and testability. • Built and maintained new backend services in Go using gRPC and Redis, operating under strict SLA, reliability, and performance requirements. • Refactored the Config Version service for Global Server Load Balancing (GSLB) using Go worker pools and Redis caching, processing ~5x larger volumes of concurrent updates to reduce version drift and improve reliability under load. • Collaborated with cross-functional teams to deliver production features used by large enterprise customers. ### Member Of Technical Staff intern @ VMware Jan 2022 – Jan 2022 | Bengaluru, Karnataka, India • Worked on the IPAM / DNS subsystem of VMware’s AVI Load Balancer, contributing to core networking and infrastructure functionality. • Assisted in the development of Custom DNS support, enabling customers to integrate external IPAM / DNS providers such as Infoblox. • Developed an end-to-end test plan to validate system behavior across integration points and failure scenarios. • Improved security posture by containerizing control scripts, addressing an identified vulnerability in the existing setup. ### Microsoft Learn Student Ambassador @ Microsoft Jan 2019 – Jan 2022 | Chennai Area, India Microsoft student partners are on-campus students leaders with a passion for sharing technology with their classmates. Gain leadership experiences, get access to resources and develop technical and career skills. ## Education ### BTech - Bachelor of Technology in Computer Science SRM University (Sri Ramaswamy Memorial University) ### Higher Secondary School City Montessori School ## Contact & Social - LinkedIn: https://linkedin.com/in/amishkushwaha - Website: https://amishk.com/ - Website: https://amishk.com/posts/ --- Source: https://flows.cv/amishkushwaha JSON Resume: https://flows.cv/amishkushwaha/resume.json Last updated: 2026-04-05