Lilit Yolyan
Verified Expert in Engineering
Machine Learning Developer
Yerevan, Armenia
Toptal member since July 15, 2022
Lilit is an applied scientist with more than six years of experience. She's enthusiastic about solving real-life, everyday problems with computer vision, digital signal and image processing, and neural network development. She works with an end-to-end AI pipeline, from problem definition, data cleaning, and preparation to modeling, testing, and preparing the model for further deployment.
Portfolio
Experience
- Image Segmentation - 4 years
- PyTorch - 4 years
- OpenCV - 4 years
- Deep Learning - 4 years
- Python - 4 years
- Machine Learning - 4 years
- Computer Vision - 4 years
- Object Detection - 4 years
Preferred Environment
PyCharm, Slack, GitHub, GitLab, Teams, Visual Studio
The most amazing...
...thing I've developed is an algorithm for remote heart rate detection, designed for drivers, which was integrated into the systems of major car manufacturers.
Work Experience
Senior Machine Learning Engineer
Harman
- Developed a rPPG algorithm capable of real-time heart rate detection, specifically tailored for driver health monitoring. This solution enhances vehicle safety by continuously tracking the driver's physiological signals without physical contact.
- Worked on the development of a real-time photoplethysmography (PPG) algorithm utilizing data from wearable devices. This algorithm is designed for integration into earphones, enabling continuous stress monitoring.
- Developed a comprehensive pipeline for cleaning and preprocessing raw data from multiple sources, ensuring data quality and consistency for downstream analysis and model training.
Lecturer
Yerevan State University
- Created a syllabus for two different classes, Deep Learning and Large Scale Analytics.
- Managed a group of teacher assistants to work with me on courses.
- Held lectures and practical classes for 15–25 students.
Back-end Developer with Image Manipulation | Online Startup
BRAND BOUTIQUE LAWYERS PTY LTD Trading as Inkse
- Created two PoCs to generate prints for clothing.
- Documented the process and technology of the two PoCs fully.
- Prepared reports and presentations for weekly meetings.
AI Developer
Mohammed Ehsan Ur Rahman
- Fixed bugs and errors in GAN regarding training loops, data loaders, and network architecture.
- Experimented with different network architectures to get the best results on the given dataset.
- Optimized the code for faster performance and adhere to PEP8 standards.
Machine Learning Scientist
SmartClick
- Developed a product roadmap, established a hypothesis, and identified experiments to run.
- Researched models, methods, and technologies that can solve real-life problems, including object detection, image segmentation, few-shot learning, image processing, etc. Implemented research methods and evaluated the results.
- Improved the existing technologies by optimizing inference time and speed on real-life applications.
- Worked with the team, brainstormed and discussed possible solutions, and helped team members overcome blocking issues and achieve end goals.
Machine Learning Scientist
SmartClick
- Worked on end-to-end processes, including data collection and preparation, cleaning, modeling, testing, and error analysis.
- Implemented computer vision techniques such as classification, object detection, segmentation, and metric learning for solutions in various domains. Modified and adapted models for specific solutions.
- Collaborated with the engineering team for model deployment.
Data Scientist
Menu Group
- Developed machine learning models for customer behavior prediction.
- Automated reporting processes for sales and management teams.
- Created end-to-end machine learning pipelines for different products.
Experience
CutPaste Model Implementation
https://github.com/LilitYolyan/CutPasteDevelopment of Few-shot Learning Technology
3D Deep Learning with Python
Education
Master's Degree in Data Science
Yerevan State University - Yerevan, Armenia
Certifications
Nvidia Deep Learning Institute Certification
Nvidia Deep Learning Institute
Skills
Libraries/APIs
PyTorch, OpenCV, TensorFlow
Tools
PyCharm, Slack, GitHub, GitLab, Visual Studio
Languages
Python, SQL, Python 3
Storage
MongoDB, NoSQL, Google Cloud
Industry Expertise
Marketing
Platforms
Kubernetes, Google Cloud Platform (GCP), Docker
Other
Deep Learning, Image Classification, Object Detection, Image Segmentation, Artificial Intelligence (AI), Image Processing, Machine Vision, Neural Networks, Deep Neural Networks (DNNs), Computer Vision Algorithms, Artificial Neural Networks (ANN), Convolutional Neural Networks (CNNs), 2D, Data Science, Machine Learning, Computer Vision, Team Leadership, Self-supervised Learning, Cloud, Object Tracking, Point Clouds, Generative Adversarial Networks (GANs), 3D Image Processing, Optical Character Recognition (OCR), Natural Language Processing (NLP), Enterprise Resource Planning (ERP), Generative Pre-trained Transformers (GPT), Large Language Models (LLMs), Few-shot Learning, Voice Cloning, Text-to-Speech (TTS), Image Generation, Image Manipulation, Stable Diffusion, DALL-E, Teams, Signal Processing, Data Analysis, Data Visualization, Slurm Workload Manager
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