Egor Folley photo

EGOR FOLLEY

End-to-End AI Deployments for Enterprise

Building AI systems to solve enterprise problems from business audit, solutions architecture and system design, to production deployment.

Lead FDE
for a $2M AI transformation
12+
agentic projects shipped
2X
AI founder

Background

7+ yrs of client-facing AI engineering. Delivered 12+ end-to-end GenAI systems for startups, SMBs, and enterprises, from customer discovery and solution architecture through production deployment, adoption, and handoff.

Built 2 AI startups:

Selected Work

Private equity · AI transformation

Enterprise AI for PE Deal Diligence

Owned: discovery, architecture, evaluation design, and production handoff for a $2M program and team of 8.

Built a six-agent, ontology-first system over unstructured diligence materials, with governed retrieval and GraphRAG.

Outcome: diligence reduced from ~4 months to ~1 hour.

Enterprise knowledge operations

Agentic GraphRAG Copilot for Cross-Team Data Retrieval

Problem: operational teams were losing hours locating reliable information across documents, databases, and internal tools.

Designed a GraphRAG copilot with source-grounded retrieval and regression evaluation.

Outcome: cross-team data-retrieval time reduced by ~82%.

Change adoption · manager enablement

All-in-One Agentic Platform for Managers

Problem: managers took weeks to adopt new tools and navigate fragmented internal knowledge.

Built a multi-agent platform connecting documentation, project data, and internal tools around their daily workflow.

Outcome: technology-adoption time cut from 6 weeks to 3.

Founder-built · construction safety

Vision AI Agent for Jobsite Safety

At Modalina AI, an NVIDIA Inception startup, built my second AI startup: a construction-safety system with five VLM agents using NVIDIA NIM for visual inspection and incident triage. The MVP is complete; production hardening is underway.

Outcome: ~15 hours/week returned to safety supervisors.

View BuiltWorlds demo →

Founder-built · physical AI

Autonomous Drone Navigation

At ARTIAL (Techstars Berlin <> AUDI '23), solo-built autonomous visual navigation for a self-flying drone on NVIDIA Jetson Nano, using C++/ROS, PX4, and ORB-SLAM3.

Outcome: five live indoor and outdoor flight demonstrations.

View autonomous-flight demo →

View all projects on GitHub →

Technical Fluency

Python/JS/TS/C++; Agentic AI & Multi-agent systems, RAG, Knowledge Graphs & Ontologies, LLMOps (evals, guardrails, tracing); LangGraph/LangChain/CrewAI, LangSmith, MCP, PostgreSQL, Redis, AWS/GCP/Azure, Docker; NVIDIA NIM, NVIDIA Jetson Nano, C++/ROS, PX4, ORB-SLAM3; Google Vertex & AI Studio, Microsoft Foundry, Palantir AIP

Founder & Public Proof

Press Coverage

Client Recommendations

Danny Ellis
Danny Ellis
Ex-CEO SkySpecs, Advisor
"Over 2024, I advised Egor on his startup journey. He has a solid understanding of software development, from rapid prototype planning to execution. Moreover, Egor is skilled at building customer development roadmaps, setting KPIs, and validating problem-market fit. He encompasses strategic thinking with a proactive approach to solving business challenges."
Boina Babu
Boina Babu
AI Founder, ex-Spotify, Client
"I met Egor at Techstars, where he demonstrated solid AI domain expertise. His technical proficiency was matched by his keen understanding of core problems. His proactive solutions and strategic insights were invaluable, helping us navigate challenges and stay competitive. I highly recommend Egor to any team looking to leverage AI to innovate and improve operations."

View all recommendations on LinkedIn →

Have a workflow that is slow, expensive, or risky?

I can help scope the opportunity, establish a baseline, and define a credible path to a production system your team can run.