SASHA
LOPASHEV

Founding Engineer & Systems Builder

Let's talk
San Francisco, CA
OPEN TO THE RIGHT OPPORTUNITIES
WHAT ACTUALLY MOVED

Things that mattered.

Scaled API Gateway to 2B daily requests globally — zero outages, major cost reduction.
Indeed
Built production-grade global infrastructure from scratch at two AI startups (GCP + AWS).
Ventrilo + Nebari
Led 350+ technical interviews across engineering roles.
Indeed + Ventrilo + Nebari
Building agentic AI systems and the infrastructure to run them safely.
Nebari
CHAPTERS

The last decade.

2025 — PRESENT
Founding Engineer
Nebari.ai
Stealth • Agentic AI Cybersecurity • San Francisco, CA
• Day-zero infrastructure owner: customer integrations, process-isolated source distribution, and the foundation for fully sandboxed autonomous security agents.
• Shipping toward production-grade agentic systems that operate safely inside isolated, high-trust environments.
CURRENT FOCUS
2023 — 2025
Founding Engineer
Ventrilo.ai
Menlo Park, USA • B2B → B2C
• Built the entire production backend from zero on GCP with full Terraform IaC: multi-region routing, auth, billing, observability, and data pipelines.
• Shipped context-aware AI autocomplete at p95 ~500ms for thousands of users worldwide (browser extension).
• Real-time context ingestion (Python/FastAPI/Redis), RAG post-processing with Spacy + USearch, CRDT/Yjs chat sync, Stripe billing, realtime JWT revocation via PubSub.
Public launch April 2025
2019 — 2023
Staff Software Engineer
Indeed Inc.
San Francisco, CA
• Led full migration to a new API Gateway (vendor evaluation → contract → cutover) on a platform serving 2B+ daily requests at 40k peak RPS. Result: ~80% cost reduction, zero outages (previously every 3–6 months), dramatically richer telemetry.
• Co-owned migration to Apollo Federation v2 supporting 250+ services and 1000+ clients.
• Built internal AI knowledge base (OpenAI embeddings + LangChain/LlamaIndex) used by the engineering organization.
• Mentored engineers, ran 300+ technical interviews, led design reviews and major outage investigations.
2015 — 2019
Software Engineer
Indeed Inc.
Tokyo • Web crawler ecosystem
• Delivered a crowdsourcing platform for human-intelligence tasks — drove >$10M in customer LTV.
• Built a websites classifier on the publicwww.com dataset — ~750k positively identified sites fed into crawler discovery.
• Migrated crawling infrastructure to Selenium Grid; improved auto-repair of crawler rules with heuristics + ML.
• Engineering lead at Indeed University 2017 — interim manager for a 5-engineer cohort.
• Mentored interns, ran tech talks, conducted technical interviews for SWE/TDM.
2009 — 2015
Earlier chapters
Yandex
Web analytics (Metrica) • Java / ClickHouse
Mail.Ru Games
MMORPG mechanics (Allods Online) + high-volume crawling platform that delivered >$10M customer LTV
Mail.Ru Group
kino.mail.ru / afisha.mail.ru
GE Money / Mirantis
Helpdesk systems, batch processing, large-scale data work (during university)
HOW I THINK ABOUT THE WORK

Craft over flash.

SYSTEMS
Systems that remain understandable at 3am during incidents
Platforms teams actually want to build on
Infrastructure as code with real discipline
Observability that surfaces truth under pressure
AI & AGENTS
Production-grade agentic systems with real guardrails
Strong isolation and security boundaries by default
Context engineering that holds up in the real world
Tooling that serves the system, not the other way around
STACK
AWS C++ GCP IaC Java JavaScript k8s Kotlin Python Rust TypeScript
LEADERSHIP
Raising the bar through rigorous design reviews
Zero-to-one ownership with real accountability
Mentoring that actually compounds
Disciplined hiring (350+ interviews and counting)

Right now.

Building the infrastructure and foundations for fully sandboxed, production-grade autonomous security agents.

The work is equal parts systems, security, and agentic product thinking. Everything from day one has to be isolated, observable, and defensible.
THE FOUNDATION

Education &
continuous learning.

Specialist in Mathematics (equivalent to MS)
Computer Security & Cryptography • Saratov State University • 2012
DEEP LEARNING & ML
Deep Learning Specialization — Andrew Ng
Machine Learning with Python — IBM
Scalable ML on Big Data (Spark) — IBM
CS231n (Stanford) — Karpathy et al.
ALGORITHMS & LANGUAGES
Algorithms I & II — Princeton (Sedgewick)
Functional Programming in Scala — Odersky
Kotlin for Java Developers — JetBrains
BLOCKCHAIN & DECENTRALIZED SYSTEMS
Bitcoin & Cryptocurrency Technologies — Princeton
Blockchain Specialization — University at Buffalo
DeFi Specialization — Duke
Blockchain and Money (MIT 15.S12) — Gary Gensler

Let's build something ambitious.

alexlopashev@gmail.com
SAN FRANCISCO, CA • OPEN TO THE RIGHT OPPORTUNITIES