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CS ’24; currently Design Engineer @ $80M+ Series B AI startup
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prev Founding Engineer ($10M seed); focused on design for GenAI
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ex-founder; shipped video editing copilot and short-form gen tools
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led Three.js and WebGL engineering for image editing features
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built automated data analysis workflows with AI-in-the-middle evals
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improved transcript accuracy by 40% via AWS serverless and ML
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Founding Engineer with 150+ merged PRs across K8s, vLLM, Istio, containerd
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lead maintainer of multi-host LLM inference tool used by NVIDIA, MistralAI
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maintainer of K8s batch workload repo adopted by Google and IBM
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built distributed inference pipelines for Llama3.1-405B, DeepSeek R1
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adapted vLLM for heterogeneous hardware to enable PageAttention at scale
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KubeCon speaker and K8s SIG Maintainer optimizing GPU scheduling for ML
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Senior SWE @ Cloudflare with 5+ years in high-scale systems and infra
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expert in Rust, Haskell, Go and low-level distributed systems
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built streaming parsers in Rust for global traffic on Cloudflare’s VPN
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optimized file sync planners at Dropbox using property based testing
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integrated Apple userspace file system extensions for core Dropbox engine
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frequent contributor to tokio-rs/tracing, open-telemetry + nextest crates
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Staff Research Engineer at a $10M+ seed-stage AI startup
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7+ years of professional Haskell and Nix experience in production
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built national-scale energy grid stability infra using Haskell and Nix
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expert in declarative builds and Nix workflows across three companies
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active open source contributor to the functional programming ecosystem
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designed FRP web frameworks and typechecked state management systems
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10+ years exp; currently MTS @ AI startup ($50m+ seed)
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Founding Engineer @ robotics startup ($10m+ seed); built the RDK and API
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ex-Director @ public open source tech company; ran 4 cloud platform teams
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reverse-engineered League of Legends client; sold networking stack to Riot
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built core infra for major DBaaS; handled AWS networking and recovery
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led technical integration of a mobile DB acquisition into cloud stack
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Candidate preferences
If it’s a “AI to X” company, not interested. I want to work on truly meaningful, tough problems. I typically operate at a hands on, architect/principal engineer role.
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Product Engineer @ YC unicorn building AI devtools
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prev Founding Eng @ startup; helped achieve €1M ARR in under a year
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built and launched AI coding assistant in 2021; scaled to 1k+ users
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5+ years exp building infrastructure and developer platforms at scale
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lead on-prem to AWS migrations and microfrontend patterns at a major bank
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prev MLH Fellow contributing to Next.js; worked on profiling and ISR
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Candidate preferences
AI, Deep tech, Infra
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Senior MTS @ WEKA; 25+ YOE in kernel, networking & cloud orchestration
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created major open source operating system focused on enterprise storage
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co-founded NVMe storage startup; led international engineering teams
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ex-Chief Architect @ Series A startup; designed unified storage platforms
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invented patented active defense tech for network storage protocols
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prev Senior+ roles at AMD, Oracle, Sun, Qualcomm; designed storage infra
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25 yo, Founding Engineer turned Head of R&D at cloud infra startup
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created open source networking repos with 4k+ stars combined
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built high-perf networking using eBPF XDP hitting 200 Gb/s throughput
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developed zero-downtime migration systems via ingress/egress buffering
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built dynamic service mesh tools and WebRTC-based overlay networks
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designed transport-agnostic RPCs and immutable infra for live migration
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Technical Lead @ YC startup building AI data marketplace
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prev Senior SWE @ a16z startup (Series C); built enterprise FE from 0 to PMF
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contributed to Rasa (open source text & voice based conversational AI)
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scaled frontend team from 1 to 12+ engineers in a 150+ person startup
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led transition of legacy apps to React and modern Node.js microservices
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architected ML-driven scheduling product from ideation to production
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Candidate preferences
I love working in the experience slice (full stack across the part that customers engage with) but have wide knowledge elsewhere.
For the past 5 years have been leading multiple teams across a product
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Customer stories
How the fastest-growing AI and open source companies hire with Algora
How CodeRabbit hired an Applied AI Engineer straight out of his PhD
Erfan Al-Hossami brought research experience from Stability AI and a PhD on AI for code debugging, and has been shipping CodeRabbit's CLI and agent integrations ever since.
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Matt Miller led the development and release of Comfy MCP, bringing natural-language agent control to ComfyUI's 4M users.
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Gergő Móricz joined Firecrawl while it was still a prototype and shipped 1,763 commits as it grew to 150,000 companies.
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