Python Machine Learning Engineer (CV & LLM)

Contact

https://github.com/mihuzz

+1-916-***-**** (Mobile)

********@*****.***

www.linkedin.com/in/mikhail-

kruglov-17874a5b (LinkedIn)

Top Skills

Finance

Accounts Receivable (AR)

Competitive Strategies

Publications

My_Github

Mikhail Kruglov

Python Machine Learning Engineer #diffusers, #deeplearning,

#computervision, and #diffusionmodels #LLM #RAG

Antelope, California, United States

Summary

I am a passionate and proficient Python engineer with a focus on deep learning and computer vision. I enjoy solving complex problems and creating innovative solutions that can improve the lives of people and businesses. I am always eager to learn new technologies and frameworks, and to collaborate with diverse and talented teams. As a Python engineer at SkillFactory, I worked on various projects involving object detection, image segmentation, and data preprocessing using PyTorch, TensorFlow, OpenCV, and other libraries. I was responsible for developing, training, and deploying deep neural network models using Django, Docker. I also used Git for version control and agile methodology for software development. I contributed to the quality and efficiency of the codebase, the performance and accuracy of the models, and the satisfaction and retention of the clients.

Experience

DigitalVertex Enterprises

Machine Learning Engineer

January 2024 - Present (2 years 7 months)

United States

• Implementation of Large Language Models

SkillFactory

Python Machine Learning Engineer

October 2018 - May 2019 (8 months)

Moscow, Moscow City, Russia

- Programming Languages: Python (NumPy, SciPy), C++.

- Deep Learning Frameworks: PyTorch, TensorFlow

- Computer Vision Libraries: OpenCV

- Object Detection Models: YOLO, Faster R-CNN, SSD

- Image Segmentation Models: U-Net, Mask R-CNN

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- Data Preprocessing: Data augmentation, image resizing, normalization

- Model Training and Evaluation: Loss functions, metrics, hyperparameter tuning

- Deployment: Model deployment using Django, Docker, and AWS

- Version Control: Git

- Software Development: Agile methodology, debugging, testing Skillfactory

Python Developer

October 2018 - May 2019 (8 months)

Mastery of Python and C++ for efficient code development. Object Detection Models: YOLO, Faster R-CNN, SSD. Expertise in deep learning frameworks

(PyTorch, TensorFlow) and computer vision models. Proficient in model training, evaluation, and optimization, including data preprocessing techniques. Arsenal furnitue

Asrenal furniture

January 2015 - September 2017 (2 years 9 months)

Russia

Sales: dealers, internet, retail.

-Creation and launch of the company's online store, promotion on the Internet.

-Online promotion and advertising (SEO, emailing), product category management, warehouse, transport logistics, understanding of IT management principles (development)

-Setting tasks in the field of software development for the needs of an online store, drawing up technical

assignments, work on usability.

-Work with Internet marketing tools (promotion of an online store in SEO, SMM,

remarketing, email marketing, etc.).

-Opening of retail, negotiations with shopping centers, conclusion of lease agreements. Trading launch

Rokos

Regional Sales Manager

August 2013 - January 2015 (1 year 6 months)

Moscow, Russia

-Development of entrusted regions: Northwestern Federal District, Far Eastern Federal District, Siberian Federal District.

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-Development of plans for the development of regions and measures to bring them closer.

-Managing and developing relationships with existing players

-Search for consistent partners.

-Assessment of prospects for distribution channels (dealers, retail).

-Development of bonus programs and promotions for current partners and to attract new customers

-Identification of competitive advantages.

-Assortment analysis.

-Achievements: For the second selected month of the electoral sector, with a developed network of salons represented in almost all Furniture Centers of St. Petersburg and in the regions of the North-Western Federal District. On the Dalny series of series of partners with a developed network of salons, a partner in Chelyabinsk, in the Siberian Federal District.

-The pre-perspective model was placed on furniture. Prohibited in production. Toris

Regional Sales Manager

August 2011 - August 2013 (2 years 1 month)

Moscow, Russia

Active search and attraction of dealers: large regional furniture chains, furniture stores, regional hypermarkets;

• Coordination of commercial terms, control of shipments;

• Organization of training, control of personnel work;

• Control of receivables;

• Monitoring compliance with the format, development and holding of promotions in dealer networks;

• Market monitoring;

• Participation in exhibitions.

Achievements:

• Attracted key regional clients, expanding the geography of presence.

• Setting up sales in the regions of presence.

• Participation in the formation of a successful product line. Education

SkillFactory

bootcamp, DeepLearning · (2019 - 2019)

SkillFactory

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bootcamp, Machine Learning · (2018 - 2019)

Irkutsk National Research Technical University

economist, Finance · (1993 - 1998)

Udemy Alumni

Иркутский национальный исследовательский технический университет (ИРНИТУ)

Bachelor of Economics, Finance, General

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