Raffi Satamyan
ML Researcher
Yerevan
Summary
AI/ML Specialist with 4+ years of experience designing, developing, and deploying machine learning and deep learning models. Strong foundation in algorithm development, data analysis, and model optimization across NLP, computer vision, and signal processing domains. Adept at both practical implementation and research-driven innovation, with proven collaboration, adaptability, and a focus on impactful, scalable solutions.
Overview
5
5
years of professional experience
4
4
Certifications
4
4
Languages
Work History
Machine Learning Researcher
YerevaNN
08.2025 - Current
- Co-authored a research paper (under review at ICLR 2026) on NECCO, a Transformer-based deep learning model for large-scale, quadratically constrained combinatorial optimization problems.
- Developed novel preprocessing and post-processing algorithms, enabling strong scalability and generalization to problem sizes 10× larger than the training data.
- Led large-scale dataset generation and model training using Gurobi and GEKKO solvers.
AI Instructor
Foundation for Armenian Science and Technology (FAST)
09.2023 - Current
- Delivered hands-on lessons in AI, machine learning, and deep learning using Python to 11th and 12th-grade students.
- Mentored 300+ students , guiding their understanding of core AI concepts and tools.
- Supervised and supported 40+ AI projects, promoting practical, real-world problem-solving.
Machine Learning Engineer
Advanced Technology Group
08.2023 - 08.2025
- Built local Retrieval-Augmented Generation (RAG) systems and deep learning models for radio signal processing.
- Achieved over 92% accuracy in modulation classification and approximately 90% performance in multilingual language detection.
- Processed 2.5M+ signal samples, and implemented custom GPU pipelines for efficient model training.
- Optimized training workflows, reducing model training time by 40%.
Machine Learning Engineer
Ministry of Defence of The Republic of Armenia
08.2021 - 08.2023
- Developed and deployed advanced object detection systems for multiple drone platforms.
- Achieved a 15% increase in detection accuracy.
- Reduced processing time by 30%.
- Enabled real-time target identification on over 5 drone types.
Machine Learning Engineer Intern
Improvis Team
08.2020 - 08.2021
- Developed deep learning models using RNNs (LSTM/GRU) and Transformers to predict 3D protein structures from 2D sequences, improving accuracy by 20%.
- Analyzed 10,000+ protein sequences, cutting prediction time by 35% with optimized model design.
- Improved biological structure prediction, with potential impact on drug discovery pipelines.
Education
Bachelor of Science - Artificial Intelligence And Data Processing in Phy
Yerevan State University
Yerevan, Armenia 04.2001 -
High School Diploma -
Physical-Mathematical School of Yerevan State University
Yerevan, Armenia 04.2001 -
Skills
ML/DL Techniques: Unsupervised Learning, Reinforcement Learning, Transfer Learning, Self-Supervised Learning
Certification
Machine Learning & Deep Learning
INTERESTS
- Attending ML/AI meetups or conferences
- Reading papers
- Online learning
- Participating in Kaggle competitions
- Mentoring high school students in Python & ML
Work Availability
monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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Timeline
Machine Learning Researcher
YerevaNN
08.2025 - Current
AI Instructor
Foundation for Armenian Science and Technology (FAST)
09.2023 - Current
Machine Learning Engineer
Advanced Technology Group
08.2023 - 08.2025
Python Core Fundamentals
12-2022
SQL Fundamentals
06-2022
Neural Networks & Computer Vision
12-2021
Machine Learning Engineer
Ministry of Defence of The Republic of Armenia
08.2021 - 08.2023
Machine Learning & Deep Learning
06-2021
Machine Learning Engineer Intern
Improvis Team
08.2020 - 08.2021
Bachelor of Science - Artificial Intelligence And Data Processing in Phy
Yerevan State University
04.2001 -
High School Diploma -
Physical-Mathematical School of Yerevan State University
04.2001 -
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