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Francis NgigiFN
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Francis Ngigi

@francisngigi

Senior full-stack software engineer specializing in high-performance AI infrastructure and scalable production systems.

United States
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What I'm looking for

I am looking for high-impact roles building scalable AI/ML infrastructure or low-latency systems, with fast-paced teams, technical ownership, and opportunities to mentor engineers.

I am a senior full-stack software engineer with 5+ years building high-performance systems at AI startups and quantitative trading firms. I specialize in scalable APIs, distributed databases, and production systems that power large-scale ML and inference workloads.

At a Series B stealth AI startup I led the design and deployment of a distributed vector database supporting 500M+ embeddings with sub-10ms p99 latency and productionized 30+ REST and GraphQL APIs handling 50K+ QPS. I also drove a migration to partitioned and sharded PostgreSQL schemas that cut costs 68% while enabling 10× data growth.

Previously at a quantitative trading firm I developed high-throughput market-making systems in OCaml and Python, maintained 40TB+ time-series SQL schemas, and built internal APIs and trading bots. I am recognized for rigorous problem-solving, extreme attention to detail, and improving system reliability through strong review practices.

I mentor engineers, lead technical teams, and adopt productivity tooling such as coding agents to accelerate delivery. I am immediately available for high-impact sprints and open to contractor engagements with flexible payout terms.

Experience

Work history, roles, and key accomplishments

Jane Street Capital logoJC

Software Engineer

Aug 2020 - May 2022 (1 year 9 months)

Developed high-throughput market-making systems in OCaml and Python processing 2M+ trades/sec with <50µs latency and built REST/gRPC services consumed by 200+ quantitative researchers, improving analytics performance 12×.

Education

Degrees, certifications, and relevant coursework

Stanford University logoSU

Stanford University

Bachelor of Science, Computer Science

2016 - 2020

Grade: 3.9/4.0

Activities and societies: Relevant coursework: Distributed Systems, Advanced Databases, Machine Learning Systems, Compilers.

Completed a Bachelor of Science in Computer Science with a 3.9 GPA, focusing on distributed systems, databases, and machine learning systems.

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