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Conferences / PyData

PyData & PyCon Yerevan 2026

Jul 24–25, 2026 · American University of Armenia (AUA), Yerevan, Armenia

Conference
PyData Data science & ML
Dates
Jul 24, 2026 – Jul 25, 2026
Venue
American University of Armenia (AUA)
Place
Yerevan, Armenia
Format
In person
Status
Past
Attendance
—
Website
pycon.am
Recorded
5 sponsors · 36 speaker appearances
Notes
Joint "PyData & PyCon Yerevan" (also styled PyData PyCon Yerevan), organized by the American University of Armenia (Akian College of Science and Engineering) with NumFOCUS/PyData Global as supporting organizations. Venue: the site said "exact venue will be announced soon"; pretalx rooms include Manoogian Hall (AUA), so AUA is inferred from the schedule. Speakers from the pretalx schedule; affiliations as listed on the conference speaker cards (pycon.am), else parsed from pretalx bios. Sponsors shown without tiers. Prices not found.

Ticket prices

No ticket prices recorded

Sponsors 5

Speakers and talks 36

SpeakerCompanyRoleTalkLinks
Gor HayrapetyanServiceTitanKeynoteSemantic Layers: The Missing Link Between Al and Business Knowledge—
Ines MontaniExplosionKeynoteBuild-to-own AI: Agentic Development for Humans—
AleksandrOtterstaxTalkPandas + Vector Search on GPU: How to Ensure Compatibility—
Aleksandr NikolenkoPerplexityTalkSearch as Code: The Infrastructure Behind Long-Running Agents—
Alex DainiakEPAMTalkLLM Anti-Benchmarks: How Well Can LLMs Do Weird Things?—
Ani BaghdasaryanTUMO Center for Creative TechnologiesTalkAI Colearner Platform for Adaptive Self-Learning—
Anna VissensThe GuardianTalkHow the Guardian measured rhetorics toward immigration in Parliament—
Aram ButavyanAmerican University of Armenia (AUA)TalkFrom SFT to GRPO: Fine-Tuning Open LLMs for Reasoning on Real GPU Budgets—
Arina KostanyanMllabsTalkFrom Voice to Data: Designing Real-Time Pipelines on Top of Scraped Sources—
Auxten WangClickHouseTalkNo GIL, Real Gains: Porting a C++ Python Extension to Free-Threaded Python 3.14—
Dea PutriPhilip Morris InternationalTalkBeyond Confidence: Tolerance Intervals for Data-Driven Change Decisions—
Elizaveta AfanasevaTochka BankTalkCleaning Large Text Corpora, or Why CulturaX Is Uncultured—
Evgeny Potapov—TalkGPU Training Failures that Hide From Your Dashboard—
Gabriel PredaEndavaTalkBenchmarking Historical Reasoning in LLMs: Tasks, Metrics, and Failure Modes—
Grigor BezirganyanModelFrontTalkWhen AI Says 'I Don't Know': Uncertainty Quantification in Multimodal Classification—
IaroslavQuantoriTalkGEO Survival Analysis Web Tool—
Kevork SulahianGrid DynamicsTalkRecursive Language Models: Architectural Fragilities, and the Path Toward Robust Agentic Intelligence—
Kiyarash FazeliMaktabkhooneh.orgTalkReproducible Machine Learning Using DVC—
Lilia UrmazovaGrid DynamicsTalkWho Tests the AI Testers? Evaluating AI QA Agents embedded in TDD-based software generation—
LookuutSalmonTalkModern Data Platform—
Maksim AfanasyevJSC Tochka (tochka.com)TalkThe d9d Project: Building an extensible and scalable distributed training framework for LLMs—
Manvel AvetisianIndependentTalkBuilding an AI Delivery Robot in Python—
Marton KodokReeaTalkBuilding Multimodal Similarity Search with Gemini—
NairaMindwise LLCTalkNLP and Graph-Based Product Tracing in Supply Chains—
Philipp GuevorguianPerceptron AITalkEverything That Happens to Data Before Model Input During Training—
PouyaPoseidon Digital UKTalkBeyond OLS: Solving the Multicollinearity Trap in Marketing Mix Modeling with Python—
Rudolf EremyanIntus WindowsTalkFrom Chaos to Control: Why Data Contracts Matter—
Ryan (Sobhan)AI7TalkTiny, Framework-Aware Code Diffusion: Training a Mixture-of-Experts on a Consumer GPU—
Sos AgaianCSI CUNYTalkBio-Inspired Image Quality Assessment: Challenges and Solutions.—
Thomas AugerTUMO Center for Creative TechnologiesTalkAI Colearner Platform for Adaptive Self-Learning—
Töma NikitinBostonGeneTalkTaming the Chaos: Building a Reproducible and Flexible Bioinformatics Architecture—
Vaagn ToukharianAUA, QualysTalkAgentic Hacking or Agents Hacked—
Vadim PatsevYandex CloudTalkPython Takes Root in Robotics: ROS 2, Simulation, and Reinforcement Learning—
VazgenWorldQuantTalkBeyond CLIP: Implementing CoMM — A Multimodal Contrastive Learning Paper from ICLR 2025—
Viktoria MelkumyanAmerican University of Armenia (AUA)TalkOptimizing Yerevan’s Traffic with Reinforcement Learning: A Simulation-Driven Approach—
VladimirVXSoftTalkWrong, Scary, and “Illegal” Things with Python in PostgreSQL—

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