Ukraine

Architectural Engineering

AI/ML Engineering

Computer Vision

Generative AI

AI Product Management

AI Design

Igor Babin

Machine Learning Engineer | Lead

Product strategy

Video editing

Whitepaper/ebook Writing

Product roadmap

Cursor

Midjourney

Communication

Collaboration

Time management

Team player

Organisation skills

Introduce yourself, define mentoring expectations and goals. Learn and grow together.

General mentorship

Making remote and globally distributed teams work for you and your needs.

Working remotely

Learn essential burnout prevention techniques and replenish physical and emotional energy.

Managing burnout

Talk to people who have learned to manage their imposter syndrome.

Dealing with imposter syndrome

Understanding factors that lead to a motivated team - recognition, communication and more.

Keeping team members motivated

Understand the process of training, motivating and directing your team members.

Managing people

How to create a positive workplace culture that drives collaboration and productivity?

Fostering a good team culture

Steps to building and maintaining a strong, cohesive and effective team.

Building an effective team

Learn the tips to successfully manage a team in a remote environment.

Managing a remote team

How to maintain trust, commitment, accountability deliver results while handling conflict

Avoiding common dysfunctions

How to determine what is a good balance of skill sets for your organization's needs

Building balanced teams

How to identify star candidates, evaluate technical ability, and close hires

Hiring software engineers

Decision making as a software engineer or lead - how to become better at making the right choices

Making better tech choices

Strategies for maximizing your design internship or co-op program.

Getting the most out of my internship

Tips for transitioning into a new role or company.

Changing roles

How to successfully prepare and position yourself for a job promotion?

How to get promoted

How to think about design career paths and what progression looks like for designers?

Design career path

Get actionable feedback on your resume or portfolio.

Resume and portfolio review

Practice HR, technical and behavioural interviews with mentors.

Practice mock interviews

Talk to people who've broken into the tech industry and learn their stories.

Breaking into tech

Learn the best ways to answer technical interview questions with frameworks

Acing technical interview questions

Methods of prototyping and solution validation. When to use which kind of prototype (eg. Webflow, Notion, etc)

Prototyping methods and tips

Identify and define potential product problems and generating possible solutions.

Identifying problems vs solutions

Learn how to properly present your work and share ideas and opinions.

Presenting your work with impact

How to work with team members with different skill sets but towards a common goal?

Working cross-functionally

Navigating the working relationship with PM's and engineers as a designer.

Working with product and engineering

How to define an ambitious product vision and how to best communicate it to stakeholders?

Creating a product vision

Designing and teaching the course:
 - Generative AI (for M.Sc. students) - Computer Vision part

- Delivering Lectures on various AI-related topics
- Searching for speakers in different domains
- Managing technical materials of other speakers

Leads a team of machine learning engineers in developing and implementing machine learning models and systems. Provides technical leadership, manages project timelines, and ensures the successful delivery of ML-powered solutions. 
Responsibilities: 
1. Lead a team of machine learning engineers, providing technical guidance and support. 
2. Collaborate with the other teams to help integrate ML solutions into projects. 
3. Collaborate with the product owners to define project requirements and goals. 
4. Design and implement machine learning models and algorithms to evaluate and validate ML models' performance and accuracy. 
5. Stay updated with the latest ML algorithms, frameworks, and techniques advancements.

Develop and implement machine learning models. Work closely with software engineers to build and deploy ML-powered solutions that address business challenges and enhance product functionality. 
Responsibilities: 
1. Develop and implement machine learning models and algorithms. 
2. Integrate ML models into software systems and applications. 
3. Optimize and fine-tune ML models for improved performance and accuracy.
Develop and implement machine learning models. Work closely with software engineers to build and deploy ML-powered solutions that address business challenges and enhance product functionality. Responsibilities: 1. Develop and implement machine learning models and algorithms. 2. Integrate ML models into software systems and applications. 3. Optimize and fine-tune ML models for improved performance and accuracy.
Skills: Computer Vision · PyTorch · OpenCV

Skills: Node.js · JavaScript · Full-Stack Development

Igor Babin🇺🇦

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