Illia

Illia Naumenko
SOFTWARE ENGINEER · AI & BACKEND ENGINEER

Köln, Germany · [відкрити контакти](див. вище в блоці «контактна інформація») · [відкрити контакти](див. вище в блоці «контактна інформація») · [відкрити контакти](див. вище в блоці «контактна інформація»)

SUMMARY

Software Engineer specializing in scalable backend architectures and AI-driven systems. My primary stack is Node.js and Go, and I am also
highly comfortable working with Python and React. I focus on taking complex products from 0 to 1, building high-load data pipelines, and
integrating intelligent automation.
Based in Europe, I am open to full-time remote roles with U.S. or EU companies. I offer flexible hours to ensure significant overlap with EST
time zones and bring a proactive, results-driven approach to engineering challenges.

EXPERIENCE

Co-Founder & Lead Software Engineer Jan 2026 – Present
IM · Remote

Co-founded and engineered a high-performance B2B data analytics platform from concept to a scalable V2 architecture.
Engineered a highly concurrent, distributed data ingestion pipeline in Go.
Designed the data layer (JSONB + pgvector) specifically to support upcoming Multi-Agent LLM workflows and vector similarity search.
Delivered the full-stack ecosystem, bridging a secure API layer with a React-based web platform and Telegram Mini App.

Freelance Software Engineer Jul 2025 – Jan 2026
Self-employed · Remote

Engineered 0-to-1 software products for private clients, specializing in AI automation, web scraping, and data processing.
Developed a Node.js + Puppeteer automation layer to access legacy judicial registries without APIs. Integrated AI to parse intent and deliver
actionable legal insights via a secure messenger bot.
Delivered ongoing architectural improvements, microservices development, and performance optimizations using Go and Node.js for various
client infrastructures.

Software Developer May 2024 – Jul 2025
Donater · Mykolayiv, Ukraine / Remote

Built the backend architecture for a charitable Telegram bot supporting internally displaced persons, leveraging NestJS and OpenAI API to
deliver AI-driven assistance at scale.
Engineered efficient storage solutions with MariaDB and Redis, improving system reliability and high availability for end users.
Contributed to an Agile development lifecycle, maintaining version control standards and participating in cross-functional code reviews.

E D U C AT I O N

B.Sc. · Computer Software Engineering
Admiral Makarov National University of Shipbuilding
Aug 2025 – Present · Enrolled in Year 2 · Distance

LANGUAGES

English German Ukrainian Russian
Upper-Intermediate (B2) Intermediate (B1) Native Native

SKILLS

Languages & Runtimes: AI / ML / Vector:

Go (Golang) Python Node.js TypeScript JavaScript RAG Pipelines LangChain HNSW Milvus Pinecone

SQL Bash OpenAI API Gemini API Anthropic LlamaIndex MLOps

Backend & Data: Scientific Computing:

FastAPI NestJS Microservices gRPC RabbitMQ Gonum NumPy SciPy Pandas PyTorch

PostgreSQL TimescaleDB Neo4j Redis TypeORM

Prisma

DevOps & Cloud: Frontend (working knowledge):

Docker Kubernetes Terraform AWS GCP React React Native

GitHub Actions Prometheus Grafana

PROJECTS

Autonomous Algorithmic Trading Protocol (FinTech) — Core Engine & MVP Built FINTECH

Associated with IM · Core Engine Built · On hold for future development
Role: Solo Backend & AI Engineer. Developed the core backend and mathematical engine for a proactive digital trading ecosystem targeting
energy markets.
Architecture: Engineered a low-latency microservices architecture using Node.js and Go to handle real-time data streams and execute
complex market interactions without delay.
AI & Analytics: Integrated a heavy-duty Python core for Monte Carlo simulations, and deployed cognitive LLM agents to analyze market
sentiment and dynamically adjust risk models.
Business Logic & Risk: Built automated modules for cross-geographic arbitrage and predictive liquidity management to forecast cash flow
gaps and prevent technical defaults.

ANTIA-CORP v2.1.0 — MVP for Procurement Risk Analysis GOVTECH

Associated with IM · Core Engine Built · On hold for future development

Role: Solo Backend & AI Engineer. Engineered a proprietary 3-tier analytical platform designed for predictive monitoring and corruption
anomaly detection in public procurement.
Architecture: Developed a high-speed Go-based data processing engine that maps incoming data into multi-dimensional vector spaces to
instantly compare new tenders against historical anomaly patterns.
AI & Analytics: Integrated advanced NLP for deep document intelligence and built Explainable AI (XAI) pipelines with Graph Network Analysis
to unmask shell companies with transparent, human-readable reasoning.
Deployment: Combined the transactional integrity of PostgreSQL with the high-speed mathematical retrieval of vector databases
(Milvus/Pinecone) to support heavy analytical loads.

AI Legal Assistant — Real-Time Judicial Registry Access LEGALTECH · CLIENT PROJECT

Completed product for a private legal services client

Role: Backend & AI Engineer. Built and delivered a finished internal product for a legal services client working with Ukrainian judicial registries.
Architecture: Developed a Node.js service with a Puppeteer-based RPA layer to access court registries without public APIs, including session
handling, anti-bot mitigation, and structured data extraction.
AI & Analytics: Added semantic analysis and LLM-based summarization to turn raw case data into precedent summaries, case comparisons,
and follow-up recommendations for legal review.
Delivery: Integrated the product with PostgreSQL and a Telegram interface so lawyers could query registries in natural language and receive
structured results in a workflow-ready format.

Digital Ecosystem for Maritime Recruitment PET PROJECT

Personal product prototype for maritime hiring workflows

Role: Solo Full-Stack Engineer. Built a pet project to explore digital workflows for maritime recruitment and candidate screening.
Architecture: Developed a NestJS backend with PostgreSQL and Redis for vacancy management, candidate profiles, recruiter workflows,
and chat-driven interactions.
AI & Product Features: Implemented candidate-job matching, profile gap analysis, recruiter search tools, and an AI assistant for screening
and vacancy-related queries.
Interface: Added a React web interface and Telegram bot flows for recruiters and seafarers to manage applications, communication, and
shortlisting.

C E R T I F I C AT I O N S & C O U R S E S

IBM AI Developer / Coursera IBM DevOps and Software Engineering / IBM Quantum
Issued Apr 2025 · ID: JB4ERI6SVSMP Issued Apr 2025