Curriculum Vitae · 2026

Sergiusz
Jergolski

AI Automation Engineer / Technical Delivery Lead
~/ warsaw, pl
team led 30 engineers
focus llm / agents / automation
01

Summary

// about

AI automation engineer and technical delivery lead with close to 10 years of experience in IT projects, infrastructure, integrations, and applied AI.

Most recently, I led 30 engineers building an AI assistant for Android TV boxes. I also design LLM workflows, RAG systems, speech pipelines, and local AI deployments for sensitive data.

I work on both the technical and delivery sides: requirements, architecture, debugging, and evaluation. I prefer simple, testable systems over complicated demos.

02

Experience

// 5 roles
2024 -
2026
2 yrs 3 mo

Technical Project Manager / Lead Engineer

SDMC Technologies · Jun 2024 - Aug 2026 AI · hardware
  • Led a team of 30 engineers building an AI assistant for Android TV boxes, including hardware, software, and service integration
  • Oversaw development of gesture detection, background noise reduction, live subtitles, and real-time translation
  • Turned client requests into requirements, priorities, and acceptance criteria for the engineering team
  • Ran technical discussions and tracked delivery in Jira, YouTrack, and TAPD
  • Helped diagnose compatibility, performance, and reliability problems, then coordinated fixes across teams
2020 -
2024
3 yrs 9 mo

IT Project Manager

GlobTel GmbH · Sep 2020 - May 2024 AI · infra
  • Modernized IT infrastructure and led hardware and database integrations
  • Built and supported a customer-facing AI application and added AI to existing workflows
  • Used data and machine learning to support personalization and decision-making
  • Coordinated requirements, implementation, and support with technical and business stakeholders
2020 -
present
~6 yrs

Founder

HelixWorks · Jul 2020 - Present consultancy
  • Run a consultancy that builds AI automation, integrations, and workflow tools for business clients
  • Design self-hosted n8n workflows connecting LLMs, webhooks, custom APIs, WordPress, Slack, Telegram, Twilio, and ElevenLabs
  • Build prototypes for private RAG, OCR, transcription, voice agents, and local inference with Docker and GPU hardware
  • Map business processes, write technical documentation, and prepare implementation plans for clients
2018 -
2020
1 yr 10 mo

Service Engineer

Huawei · Nov 2018 - Aug 2020
  • Diagnosed and repaired devices as an authorized engineer
  • Improved internal processes to reduce turnaround time
2017 -
2018
1 yr 2 mo

IT Analyst

IKEA · Oct 2017 - Nov 2018
  • Provided L1/L2 support with fast issue resolution
  • Supported internal IT projects and infrastructure stability
03

Selected projects

// 6 featured builds

AI content operations pipeline

Built an n8n workflow that researches topics, generates structured JSON with an LLM, publishes to WordPress, and sends drafts to Slack for review. Publishing stays behind a human approval step.

n8nLLMsJSONWordPress

Private legal RAG and evaluation

Built a legal document search workflow that runs locally. It uses OCR, hybrid retrieval, a vector database, and SQL metadata. I used LangChain and LangGraph, then tested answer quality with LLM evaluations.

RAGLangChainLangGraphSQL

Call-center QA agents

Built AI agents that transcribe and evaluate call-center conversations, then monitor call quality. The local pipeline uses WhisperX, Pyannote, GPU acceleration, and separate transcription and analysis stages.

AI agentsWhisperXPyannoteGPUDocker

Voice agent and post-call automation

The workflow connects Twilio and ElevenLabs to Telegram and a post-call webhook. It collects caller information and sends a structured summary.

TwilioElevenLabsTelegram

Local and edge AI infrastructure

Built and tested local inference on NVIDIA, AMD, and Axelera hardware. Packaged services with Docker, exposed OpenAI-compatible APIs, and deployed FastAPI endpoints for speech and edge AI workloads.

NVIDIAAMDAxeleraDockerFastAPI

Document-to-AI ingestion

Built an OCR-to-Markdown workflow for scanned documents. It preserves headings, tables, checkboxes, and layout structure for later automation and RAG indexing.

OCRMarkdownDocument AIRAG
04

Education

// academic
2008 - 2013
Bachelor's Degree in Law
Institute of Law · Belarus