Elijas Dapšauskas
Senior AI Engineer at The Motley Fool
Lithuania
Summary
🤩
Rockstar🎓
Top SchoolElijas Dapšauskas is a Senior AI Engineer with 11 years of experience building production-grade AI systems, currently focused on agentic LLM workflows and pipelines at The Motley Fool. He combines deep ML engineering—time series forecasting, CV model optimization, and real-time SEC-filing analysis—with hands-on backend and DevOps expertise demonstrated by owning CompreFace’s Python backend and production stack. At Uber he delivered a forecasting model that boosted capacity planning accuracy by 34%, yielding seven-figure annual savings, and he’s skilled at turning ML research into microservices and scalable MLOps. As a founder-level engineer he architected cost-performance-optimized LLM infrastructure with observability and published open-source tooling like an LLM agent framework and SEC analysis libraries. Based in Lithuania, he blends product-minded shipping with low-level server fluency (Flask, uWSGI, Nginx, Docker) and a penchant for practical automation—evident in utility projects such as an improved AutoHotkey desktop switcher.
11 years of coding experience
6 years of employment as a software developer
B.Sc. Mathematics Artificial Intelligence, B.Sc. Mathematics Artificial Intelligence at VILNIUS TECH - Vilnius Gediminas Technical University
English, Lithuanian
Stackoverflow
1,121reputation
130kreached
37answers
4questions
fastapi
top-5%
multiprocessing
top-5%
Github Skills (32)
autohotkey10
docker10
develop10
uwsgi10
python10
scripting10
wp-api10
windows10
docker-compose10
winapi10
dockers10
flask-ask10
nginx10
ws-api10
flask10
Programming languages (15)
Github contributions (5)
exadel-inc/CompreFace
Oct 2019 - Jul 2020
Leading free and open-source face recognition system
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:623 commits in 8 months
Contributions summary:Elijas's primary focus was on setting up and maintaining the production server stack for the face recognition service. This involved configuring Flask, uWSGI, and Nginx for serving the application. Furthermore, the user refactored the codebase by moving Nginx into a separate Docker container. The work demonstrated a solid understanding of server infrastructure, deployment, and the technologies used in the project.
face-mask-detectionface-verificationinsightfaceface-recognitionrecognition
pmb6tz/windows-desktop-switcher
Nov 2018 - Nov 2021
An AutoHotKey script for Windows that lets a user change virtual desktops by pressing CapsLock + <num>.
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:62 commits, 21 PRs, 35 pushes in 3 years
Contributions summary:Elijas primarily focused on enhancing the functionality and user experience of a Windows desktop switcher implemented in AutoHotkey. They addressed performance bottlenecks and bugs, specifically improving how the switcher interacts with the taskbar and handles intermediate desktops. The contributions include implementing cyclic switching, enabling switching to the last opened desktop, and the ability to move windows between desktops. The user also refactored code, improved style consistency and moved user configuration to separate files.
windowscapslockautohotkey-scriptvirtual-desktopsnum
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