Eleftherios – Python, AWS, Microsoft Azure, experts in Lemon.io

Eleftherios

From Germany (UTC+2)flag

AI Engineer|Senior

Eleftherios – Python, AWS, Microsoft Azure

Eleftherios is a senior AI engineer with deep expertise in Python, AWS, Azure, MLOps, and production AI system architecture. He has led multi-modal retrieval and RAG platforms from prototype to enterprise deployment, demonstrating strong system design, pragmatic risk management, and end-to-end product ownership. His communication is direct and client-facing, with a structured, decision-focused approach!

25 years of commercial experience in
Art and creativity
Asset management
Automotive
Business intelligence
Cloud computing
Fashion
Food and beverages
Productivity
Retail
AI platform
Agentic automation
Main technologies
Python
7.5 years
AWS
15 years
Microsoft Azure
15 years
AI
8 years
LLM
3 years
RAG
5 years
Vector Databases
5 years
LangChain
2 years
Additional skills
C#
Angular
DevOps
MLOps
Java
Kubernetes
CI/CD
Direct hire
Possible
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Experience Highlights

Tech Lead / Senior AI Engineer
Dec 2022 - Ongoing3 years 7 months
Project Overview

Distributed Vector Architecture & High-Concurrency Ingestion - Image/attribute similarity search platform transforming raw and complex data into a searchable product ecosystem that streamlined design-to-production workflows

Responsibilities:
  • Owned the global transition of an R&D initiative into a production-ready enterprise service across the US, EU, LATAM, and APAC.
  • Provided the technical authority for deep dives and demos, influencing multi-million dollar deal closures with global retailers.
  • Built high-concurrency Python ingestion pipelines and a Java-based ML microservice bridge to embed real-time multimodal search within the Centric8 PLM core.
  • Developed custom Airflow connectors and DAGs to synchronize complex domain attributes into a decoupled, high-performance service layer.
  • Engineered a distributed, cloud infrastructure supporting 3M+ image/embeddings
  • Leveraged Kubernetes (K8s) and Zilliz Serverless Cloud to manage a high-concurrency Milvus architecture, maintaining 99.9% availability and millisecond-latency discovery at an enterprise scale.
  • Built the next level event-driven "Intelligence" platform, a serverless Python ingestion framework using AWS Lambda and Kinesis to stream high-throughput data into Amazon Aurora and Bedrock, automating chunking and knowledge extraction to power context-aware AI Agents.
Project Tech stack:
Python
Apache Airflow
AWS Lambda
Bedrock
PostgreSQL
Serverless Computing
MLOps
Kubernetes
Hugging Face
LlamaIndex
Vector Databases
Senior Software Engineer / AI Engineer
Dec 2021 - Jan 20231 year 1 month
Project Overview

Azure-based integration engine between Visual Boards and a platform for visually comparing products with sales targets, syncing data between different systems and complex domain models, helping product owners shape go-to-market strategies, and tracking pre/after sales outcomes.

Responsibilities:
  • Designed and implemented a bidirectional Azure-Based integration engine between Visual Boards and the platform.
  • Enabled near real-time synchronization of user-driven changes, bridging the gap between creative visual planning and technical execution.
  • Supported end-to-end delivery across backend development, cloud integration, enterprise workflows, and front-end implementation in a complex product environment.
Project Tech stack:
AWS
Azure Functions
Azure SQL
Python
Node.js
FastAPI
Redis
Senior Full-Stack Engineer
Nov 2017 - Jul 20188 months
Project Overview

Built custom software components for a new Manufacturing Execution System (MES), helping connect shop-floor production control with enterprise planning systems across vehicle manufacturing plants.

Responsibilities:
  • Co-designed and implemented custom MES components for manufacturing operations in car production plants.
  • Co-designed integration and communication flows between MES and ERP systems across several production sites.
  • Designed and developed a custom BI dashboard for a vehicle production line, providing visibility into specific stages of the manufacturing process.
  • Worked on manufacturing software bridging shop-floor execution with enterprise systems to support coordinated plant operations.
Project Tech stack:
Node.js
Angular.js
Java
Kibana
Business intelligence
Microsoft SQL Server
MongoDB
AWS
Senior Software Engineer
Nov 2015 - Nov 20172 years
Project Overview

Document management and secure data room technology focused on structured asset documentation, secure collaboration, and seamless document workflows.

Responsibilities:
  • Architrave Sync Client for Office Integration: Designed and implemented a Windows sync client to connect a state-of-the-art, secure data room solution with Microsoft Office.
  • Enabled users to securely access assets via the browser while editing documents locally through a seamless synchronization experience.
  • Helped improve the usability of secure document workflows by combining local productivity tooling with controlled document access.
Project Tech stack:
C#
REST API
Windows Presentation Foundation (WPF)
Senior Full-Stack Engineer
Aug 2015 - Jan 20171 year 5 months
Project Overview

Online auction house in the EU for art and luxury collectibles. As the inventor of the livestream auction, it broadcasts auctions in real time and provides an online auction room accessible to bidders worldwide.

Responsibilities:
  • Worked in a microservices-oriented architecture supporting auction operations, search, logistics, and internal product workflows.
  • Implemented major frontend and backend improvements for the Production Workspace dashboard, enhancing functionality, performance, and user experience across heterogeneous data sources.
  • Led the migration from AngularJS to Angular 2, modernizing the frontend stack and improving long-term maintainability.
  • Built a dedicated search capability for auction-related data spanning MongoDB and Elasticsearch.
  • Delivered product improvements for both the internal Logistics web platform and the Windows Mobile logistics application.
  • Contributed to rapid prototyping and delivery during an internal hackathon to rewrite the logistics mobile app in one week.
  • Collaborated with a high-performing product, engineering, and management team in a fast-paced digital marketplace environment.
Project Tech stack:
C#
Node.js
ASP.NET Web API
Ruby
Angular.js
RabbitMQ
MongoDB
ElasticSearch
Grunt
Capybara
Selenium

Education

2004
Industrial Informatics and Automation Engineering
B+

Languages

Greek
Advanced
German
Upper-intermediate
English
Advanced

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