Lefteris Loukas
AI Lead at helvia.ai
Athens, Attica, Greece
Summary
👤
Senior🎓
Top SchoolLefteris Loukas is an AI Lead based in Athens with 10 years of experience translating research-grade ML and NLP into production systems across deep-tech startups and national research institutes. He combines hands-on engineering—building scalable CV and NLP pipelines in Python, C++, CUDA, Spark and deploying services with FastAPI/Flask on cloud platforms—with leadership in R&D, team mentoring, and product-facing AI. His work spans end-to-end ML lifecycle: data engineering, model development, A/B testing and causal inference, and production monitoring using Airflow, MLflow and Databricks. At the National Center for Scientific Research "Demokritos" he authored industrial R&D papers, led multi-person projects, and contributed a popular open-source EDGAR crawler (400+ stars) for economics and document intelligence tasks. Known for turning complex academic ideas into pragmatic solutions, he also holds a PhD candidacy in Computer Science and brings domain experience from e-commerce chatbots to industrial computer vision. Pragmatic, research-rooted, and OSS-minded, he thrives where rigorous ML meets production constraints.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Candidate, Computer Science, Doctor of Philosophy - PhD Candidate, Computer Science at Athens University of Economics and BusinessManagement of Information Systems (Exchange), Management of Information Systems (Exchange) at NOVA IMS Information Management SchoolMaster's degree, Electrical and Computer Engineering, Master's degree, Electrical and Computer Engineering at University of Thessaly
English, German, Greek
Github Skills (100)
python10
bots10
botkit10
sec10
textual10
conversational-ai10
nlp10
chatbot10
edgar10
finance10
voice-assistant10
natural-language-processing10
bot-framework10
web-crawler10
data-mining10
Programming languages (5)
Github contributions (5)
lefterisloukas/edgar-crawler
Oct 2021 - Jan 2023
The only open-source toolkit that can download SEC EDGAR financial reports and extract textual data from specific item sections into nice & clean structured JSON files. Presented at WWW 2025 @ Sydney, Australia (https://dl.acm.org/doi/10.1145/3701716.3715289)
Contributions:39 commits, 12 PRs, 30 pushes in 1 year 3 months
textualpythonfinancesecedgar
eloukas/uth-machine-learning
Oct 2017 - Feb 2020
Contributions:7 pushes, 1 branch in 2 years 5 months
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