Costin-Alexandru Deonise
CV

Costin-Alexandru Deonise

Portrait of Costin-Alexandru Deonise

AI & Distributed Systems Researcher / Engineer

01 Current

Doctoral Researcher
POLITEHNICA Bucharest

Chief Technology Officer
Qflex Technologies

Associate Lecturer
University POLITEHNICA of Bucharest

02 IOAI 2026

4th worldwide

8/8 medals, Astana
Deputy Leader & National Team Coach

Positioning

Doctoral Researcher at POLITEHNICA Bucharest, CTO building production AI systems, and Deputy Leader & National Team Coach for Romania’s AI Olympiad (IOAI) delegation.

01
Chief Technology Officer
Leading AI system delivery for enterprise clients at Qflex Technologies.
02
Doctoral Researcher
PhD in Computers and Information Technology, POLITEHNICA Bucharest, on secure, energy-efficient scheduling for AI workloads.
03
Deputy Leader & Coach, IOAI
Led Romania's AI Olympiad delegation to a 4th-place worldwide finish in 2026.
04
6 Publications
On scalable differentiation, privacy-preserving ML, and LLM systems.
05
Associate Lecturer
Labs and seminars for 1000+ students at POLITEHNICA Bucharest since 2022.
06
Robotics Mentor
Lead mentor for AlphaZ FRC #11141, a FIRST World Championship award winner.

Selected work

Recent, high-signal results

  1. 01

    Speaker-attributed meeting transcription refinement with constrained open-weight language models

    Future Generation Computer Systems (Elsevier), June 2026
  2. 02

    Homomorphic Encryption for Privacy-Preserving Machine Learning Inference

    Annals of the Academy of Romanian Scientists, Series on Science and Technology and Information, Vol. 18, No. 2, 2025
  3. 03

    Best Scientific Paper Most Impactful Paper

    Stochastic Taylor Derivative Estimator for High-Order Differential Operators

    UPB Students' Scientific Communications Session (SCSS 2025), 2025
  • 2026 Adobe Systems Romania Scholarship
  • 2025 Most Impactful Scientific Paper Award Engineering Domain
  • 2025 Best Scientific Master's Paper Award Engineering Domain
  • 2025 "Teodor Ceaușu" Scholarship for Excellence in Research and Technological Development

Trajectory

Researcher, engineer, teacher, coach.

01 / Research

Systems that scale

From distributed high-order differentiation on multi-GPU clusters to privacy-preserving inference, and now doctoral research on secure, energy-efficient scheduling for AI workloads: published research, not slideware.

Speaking with a microphone from the audience at the Oxford Machine Learning Summer School, 2025
Oxford Machine Learning Summer School University of Oxford, 2025

02 / Engineering

Production AI systems

CTO at Qflex Technologies, leading AI system architecture and delivery for enterprise clients.

Built production RAG, knowledge-graph extraction, and speech pipelines at the Research Institute and Bitdefender.

Built AlgoTrack end to end, a tutoring platform deployed and actively used in production.

03 / Teaching

Labs for 1000+ students

Associate Lecturer at POLITEHNICA Bucharest since 2022, across programming, parallel algorithms, and numerical methods.

Presenting "Contemporary Methods in Artificial Intelligence Systems" at the National Team Camp
Presenting “Contemporary Methods in AI Systems” National Team Camp, Timișoara, 2026
Receiving a diploma on stage, wearing a Faculty of Automatic Control and Computers graduation sash
Receiving the diploma Faculty of Automatic Control and Computers, POLITEHNICA Bucharest, 2024

04 / Olympiad Coaching

Team Romania 4th worldwide

Team Romania at IOAI Astana 2026, holding the Romanian flag, wearing medals
Team Romania, 8/8 medals International Olympiad in AI, Astana, 2026

How I work

Three things I don’t compromise on.

01

Rigor before scale

Correctness and reproducibility come first. Scaling a wrong result just gets there faster.

02

Publish, then apply

Research earns its keep when it ships: from PDE solvers to production RAG pipelines.

03

Explain clearly

A concept isn’t understood until it survives labs and seminars with 1000+ students.