Vetted Technical Documentation Professionals

Pre-screened and vetted.

AW

Senior Full-Stack Engineer specializing in microservices, data pipelines, and cloud platforms

Remote14y exp
MetaUniversity of Chicago
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Denis Siminiuc - Junior Research Assistant specializing in LLMs, NLP, and data systems in Cambridge, MA

Junior Research Assistant specializing in LLMs, NLP, and data systems

Cambridge, MA3y exp
MIT CSAILMIT

Software-focused candidate who built a data monitoring pipeline during a hedge fund internship, integrating real databases and an email API to notify teams when data was ready. Comfortable working through legacy/scrappy code and uses LLMs to accelerate comprehension and delivery, with an emphasis on thorough testing and clear communication with stakeholders/customers.

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JM

Mid-level AI/ML Engineer specializing in LLM fine-tuning, RAG, and scalable inference

Bay Area, CA5y exp
MetaSoutheast Missouri State University

ML/LLM engineer who built and shipped an LLM-powered internal knowledge assistant at Meta, focusing on production-grade RAG to reduce hallucinations and improve trust. Deep experience with scaling and serving (FSDP/DeepSpeed/LoRA, Triton, Kubernetes autoscaling) and reliability practices (Airflow retraining, MLflow versioning, monitoring with rollback), including sub-100ms latency and ~35% GPU memory reduction.

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Vernon Quan - Senior Full-Stack Software Engineer specializing in TypeScript, React, and Node.js in Menlo Park, CA

Vernon Quan

Screened

Senior Full-Stack Software Engineer specializing in TypeScript, React, and Node.js

Menlo Park, CA7y exp
MetaHack Reactor

Meta engineer who owned a heavily used internal goals/performance management feature end-to-end, driving major responsiveness improvements by restructuring frontend data loading and adding backend caching (Memcached), cache warmups, and query/index tuning. Strong focus on production quality: observability, error monitoring, and improving test coverage to prevent regressions during peak review cycles.

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Diego Leyton - Senior Software Engineer specializing in AR/VR, metaverse, and game development in Menlo Park, CA

Diego Leyton

Screened

Senior Software Engineer specializing in AR/VR, metaverse, and game development

Menlo Park, CA14y exp
MetaUniversity of Chile

Unity/C# gameplay engineer from Horizon Worlds with deep experience shipping multiplayer VR and mobile features, especially scalable real-time animation and object interaction systems. Stands out for redesigning a high-overhead RPC-based animation pipeline into a deterministic client-side playback architecture that reduced network load, improved stability in complex worlds, and enabled previously unpublishable worlds to ship.

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DR

Director-level Strategic Partnerships & Business Development leader specializing in tech and healthcare

Los Angeles, CA16y exp
US Tech SolutionsNYU Stern School of Business
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SD

Mid-level AI/ML Engineer specializing in LLM infrastructure and FinTech ML platforms

St. Louis, MO6y exp
AnthropicSaint Louis University
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SM

Senior Python Backend Engineer specializing in cloud-native SaaS and microservices

Spanish Fork, UT11y exp
VercelUtah Valley University
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VK

Mid-level AI/ML Engineer specializing in LLMs, RAG, and scalable MLOps

Cupertino, CA5y exp
OpenAIUniversity of North Carolina at Charlotte
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SS

Mid-level Full-Stack Software Engineer specializing in FinTech analytics and security

San Francisco, CA6y exp
StripeMontclair State University
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OC

Staff AI Platform Engineer specializing in enterprise SaaS and cloud AI systems

Remote, USA16y exp
DatabricksUniversity of Central Florida
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Jack Bridges - Senior Software Engineer specializing in game platforms and player-facing systems in Brier, WA

Jack Bridges

Screened ReferencesModerate rec.

Senior Software Engineer specializing in game platforms and player-facing systems

Brier, WA27y exp
Netflix

Senior engineer with a rare mix of game-platform and mobile content-delivery experience: helped ship the Xbox 360 Party system and later architected the custom multi-catalog asset pipeline behind Netflix Stories. Particularly compelling for teams needing someone who can design scalable, low-memory, high-stability systems for live content across many titles and external partners.

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BK

Senior Strategy & Operations Manager specializing in government consulting and cross-functional delivery

Washington, DC11y exp
DeloitteTufts University

Former Special Assistant at the National Security Council with experience supporting senior federal executives and handling national-security-sensitive information. Helped stand up and standardize operations for a large-scale refugee resettlement effort (60,000 people), creating an executive-driven exception/escalation process and partnering with dev and data teams to prioritize agile sprint work and improve reporting accuracy.

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AK

Senior Technical Project Manager specializing in hardware operations and NPI

Sunnyvale, CA7y exp
Taara ConnectCal Poly San Luis Obispo

Hardware operations and supply chain leader in a startup environment with strong exposure to fundraising dynamics, board-level reporting, and the financial impact of manufacturing and inventory decisions. Has spent several years in Silicon Valley managing teams at scale and brings a rare blend of operational depth, strategic awareness, and entrepreneurial ambition.

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Sara Rubacha - Engineering Manager specializing in databases and distributed systems in Weston, FL

Sara Rubacha

Screened

Engineering Manager specializing in databases and distributed systems

Weston, FL21y exp
UKGUniversity of Buenos Aires

Aspiring founder exploring an AI automation startup focused on automating processes involved in building companies. Not yet developed specific use cases or raised capital, but describes a clear plan to validate ideas through use-case research, building a pilot, and testing with early customers; not familiar with the VC/accelerator landscape yet.

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Dan Olson - Director-level Product Operations & Program Management leader in consumer electronics in San Jose, CA

Dan Olson

Screened

Director-level Product Operations & Program Management leader in consumer electronics

San Jose, CA27y exp
RokuWillamette University

Operations leader with Apple and Roku experience who owned founder-level, cross-functional initiatives including Roku’s Brazil market entry (regulatory, tax/entity setup, manufacturing/logistics, and launch metrics) with direct CEO oversight. Built Roku’s International Business Operations function from zero—standardizing OKRs, dashboards, and country-level P&Ls—and influenced major strategic decisions like exiting a ~$10.5M-loss UK channel business and restructuring Mexico ads go-to-market via partnership.

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SM

Mid-level Machine Learning Engineer specializing in LLMs, generative AI, and MLOps

San Francisco, CA5y exp
Scale AIConcordia University Wisconsin

Built and shipped a production LLM-powered medical scribe that generates structured clinical visit summaries using RAG, strict JSON schemas, and post-generation validation to reduce hallucinations. Experienced in making LLM workflows deterministic and observable (structured logging/metrics/tracing) and in evaluation-driven iteration with metrics like schema pass rate and edit rate; collaborated closely with clinicians and policy stakeholders at Scale AI to drive adoption.

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KL

ken lee

Screened

Senior Software Engineer specializing in distributed systems and FinTech

14y exp
RidgelineUC Berkeley

JavaScript/TypeScript engineer from Ridgeline who built a retry feature for failed staging-to-production promotions with pre-promotion health checks. Brings a backend-scaling mindset to runtime performance work (metrics-first bottlenecking, Big-O analysis, async/parallelism, caching) and leverages Cursor/AI tooling to ramp quickly on large codebases.

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VB

Vishal Bakshi

Screened

Senior Product Manager specializing in SaaS, healthcare IT, and cloud platforms

Seattle, WA21y exp
AmazonUniversity of Chicago

Product leader with experience spanning global health, startup growth, and AWS enterprise systems. Most notably led a telehealth AI initiative at Orbis that launched in 4 months, validated against historical patient cases at 99.9% match to human consults, and evolved from a support feature into a standalone consult product and app. Brings a strong human-centered AI perspective, using automation to extend expert capacity rather than replace professionals.

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