Marianna Tumanyan
Van Nuys,California
Summary
Expert Machine Learning Engineer with a strong math background and 3+ years in AI, focusing on NLP and computer vision. Skilled in predictive modeling, deep learning, and data analytics, using Python, TensorFlow, and PyTorch. Proven track record in algorithm optimization and big data solutions, blending theoretical knowledge with practical applications to drive innovation. Ready to leverage advanced ML techniques and collaborative skills in a dynamic environment.
SEPTEMBER 2020
Studied for a degree in Applied Mathematics and Computer Science, with an excellent academic journey, securing a scholarship through top examination scores with 3.6 GPU from the second year onwards. This foundation combines rigorous mathematical theories with practical computational skills, essential for solving complex problems in machine learning and data science. Beyond academics, participation in creative circles enhanced innovative thinking and teamwork skills, preparing for impactful contributions to the tech industry. Sadly, Moving to the US required stopping the education in the third year, resulting in not obtaining the diploma.
Machine Learning and Deep Learning course, FAST foundation of Armenia, Yerevan NOVEMBER 2021 — MAY 2022 At FAST, a premier institution dedicated to advancing the fields of science, technology, and entrepreneurship, had the honor of participating in a top-tier education program and the top 10% of the students out of approximately 100 people. This experience deepened an understanding of core mathematical concepts such as probability, algebra, and applied mathematics, alongside comprehensive machine learning and deep learning education. The curriculum covered essential algorithms including K-Nearest Neighbors, Naive Bayes, K-Means, SVM, and more, with advanced studies in Convolutional and Recurrent Neural Networks among others. This rigorous education equipped learners with a profound knowledge base and practical skills critical for innovation in machine learning and data science. Effectively researches techniques for novel approaches to problems, develops prototypes to assess the viability of the approach, and deploys application into production yielding insights to expand customer consciousness.
Overview
1
1
year of professional experience
1
1
Certification
Work History
Machine Learning Engineer
AI Space
Yerevan , Armenia
10.2022 - 08.2023
- ALPR Development: Led the implementation of an ALPR system capable of accurately detecting and reading vehicle license plates, utilizing cutting-edge machine learning algorithms and computer vision techniques.
- Achieved 98% accuracy in license plate recognition, processing over 100,000 images per month.
- Leveraged Python, TensorFlow, and OpenCV for real-time data processing and communication, reducing processing time by 30% and increasing throughput by 40%.
- Visual Tracking Innovation: Spearheaded the enhancement of visual tracking technologies, focusing on the development and optimization of Stark-based trackers.
- Improved tracking accuracy by 25% and speed by 70% through the development of an upgraded Stark Lite variant with advanced confidence calculation mechanisms based on the liter Decoder and Accuracy calculating system.
- Managed a team of 5 engineers to integrate the new tracking technologies into 3 different projects, resulting in a 20% increase in project completion speed.
- Tracking Benchmarking: Conducted comprehensive benchmarking analyses of tracking systems to evaluate their performance critically.
Analyzed over 50,000 tracking scenarios, applying statistical analysis and machine learning evaluation metrics to improve system efficiency by 20%.
- Identified and resolved 15 critical issues, enhancing the overall robustness of tracking solutions.
- Client-Server System Development: Contributed to the development of a robust client-server system for an entry phone (buzzer) system, emphasizing simplicity and efficiency.
- Developed in C++, the system enabled secure and reliable communication, reducing communication latency by 40% and handling over 1,000 connections daily.
- Increased system uptime to 99.9% by implementing efficient error handling and recovery mechanisms.
Machine Learning Intern
FAST Foundation Armenia
Yerevan , Armenia
05.2022 - 08.2022
Face Recognition System Development
- Innovative Face Recognition System: Played a pivotal role in the design and development of a face recognition-based door-opening system, achieving 90% accuracy in recognizing famous people and office staff.
- Engineered the system to run seamlessly on Raspberry Pi 4, ensuring it was compact and lightweight.
- The system processed and recognized faces in under 2 seconds, handling over 500 recognition requests daily.
- Worked as part of a dynamic team, leveraging machine learning and computer vision expertise to deliver practical AI solutions. Collaborated with a team of 4 engineers.
Project Impact:
- The project underscored the ability to collaborate effectively in a tech-driven environment, delivering innovative and practical AI solutions.
- Contributed to reducing hardware costs by 15% through efficient resource management and optimization.
- Enhanced user experience by ensuring a 99% uptime and reducing false positives to less than 5%.
Education
Bachelor of Science - Applied Mathematics And Computer Science
Russian-Armenian University
Yerevan Armenia09.2024
Certificate - Generative AI With Large Language Models
DeepLearning.AI, Amazon Web Services
Online06.2024
Certificate - Machine Learning And Deep Learning
FAST Foundation of Armenia
Yerevan Armenia05.2022
Skills
- Mastery of Machine Learning, Computer Vision Algorithms
- Python, PyTorch, TensorFlow for Deep Learning
- Scikit-learn (Sklearn),Pandas, Numpy for Machine Learning
- Advanced Data-Cleaning Techniques
- SQL for Data Querying
- Big Data Technologies (Hadoop, Spark)
- Natural Language Processing (NLP, LLMs)
- Docker for Containerization
- Git & GitHub for Version Control
- Advanced Problem Solving Skills
- Collaborative Skills and Teamwork
- Communication Skills for Technical and Non-Technical Audiences
- Logical and Creative Thinking Skills
- Data Version Control (DVC) for ML Projects
- Project Management for Data Science Projects
- Advanced C, C, Java Script
Accomplishments
- In my leisure time, I'm an avid reader, with a passion that spans from immersing myself in technical literature andself-improvement books to indulging in the intriguing worlds of detective stories, science fiction, and drama
- Myall-time favorite reads include the epic 'Lord of the Rings' series and the classic detective adventures of 'Sherlock
- Holmes'
- Beyond reading, I find solace and joy in drawing, particularly in the enchanting anime style of Hayao
- Miyazaki, using watercolors to bring my artistic visions to life
- Additionally, I'm a cinephile, enjoying a wide rangeof movies, which serves as both a relaxation and inspiration source.
Languages
Certification
- Certified Machine learning and Deep learning engineer , FAST Foundation of Armenia - NOVEMBER 2021 — MAY 2022
Timeline
Machine Learning Engineer
AI Space
10.2022 - 08.2023
Machine Learning Intern
FAST Foundation Armenia
05.2022 - 08.2022
Bachelor of Science - Applied Mathematics And Computer Science
Russian-Armenian University
Certificate - Generative AI With Large Language Models
DeepLearning.AI, Amazon Web Services
Certificate - Machine Learning And Deep Learning
FAST Foundation of Armenia