Prabhav Nalhe
Software Engineer · Infrastructure, Distributed Systems & Reliability
I build distributed systems and reliability infrastructure at hyperscale. Six years across backend and infra, most recently at Meta.
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Experience
Meta · Software Engineer, Reliability Infra
2024 - Present
Service-dependency reliability - a platform addressing ~15% of the company's top-severity incidents.
- Built the canonical dependency graph in Rust - stream-fusion over six telemetry sources at ~20 GB/s.
- Designed dependency notifications and a protection program adopted across 1,200+ services.
- Led a fault-injection program that eliminated risky dependencies, protecting ~$100M in revenue exposure.
- Brought LLM agents into the stack to explain and classify dependency risk at fleet scale.
Fidelity Investments · Software Engineer
2023
Built a 15M-document search and indexing pipeline (AWS Lambda, SQS, Solr) and a real-time reporting system for financial research.
Quest Global · Software Engineer
2018 - 2021
Voice authentication and OTA update infrastructure for automotive ECUs, serving 10K+ users.
Selected Work
Dependency Service - Rust streaming graph fusing six telemetry sources at ~20 GB/s; the platform's source of truth.
Dependency Explanations - LLM agent harness over 16 purpose-built tools; near-100% coverage at ~$0.15 a pair.
Fault-Injection Loop - chaos experiments (fault injection) producing ground-truth labels that make the dependency classifier better over time.
Skills
LanguagesPython, Rust, C/C++, Java, TypeScript, SQL
SystemsDistributed systems, streaming, fault injection, microservices, API design, SLO/SLI
Cloud & DataAWS, Docker, Kubernetes, MySQL, PostgreSQL, Redis, Kafka, Solr
AI / MLLLMs, agent harnesses, MCP, evals, prompt caching, inference routing
Education
Stony Brook University · Masters in Computer Science, GPA 3.92
2021 - 2022
Pune Institute of Computer Technology · Bachelors in Computer Science
2014 - 2018
Publication
Co-author · Deep Learning Driven Natural Language Text to SQL Query Conversion
IEEE TASLP · 2022