I’m Mirza Yasir Abdullah Baig, a Computer Science graduate and passionate AI/ML Engineer with a strong foundation in Python, Machine Learning, and Deep Learning.
Over the past year, I’ve completed three remote internships in AI, where I worked on real-world projects involving data preprocessing, model optimization, and deployment.
I’ve also completed several certifications in Machine Learning, AI, DSA, and Python, and I actively showcase my work on GitHub, where I’m building a portfolio of 500+ Python programs, ML models, and deep learning projects.
I’m now focused on applying my skills to contribute to impactful AI-driven products in an innovative company like yours.
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My Mock Interview for Machine Learning Engineer (2025)
Sure. Starting with my background — I’m Mirza Yasir Abdullah Baig, a Computer Science graduate with a solid foundation in programming, algorithms, and data structures.
After completing my degree, I began my professional journey as a WordPress Developer at Fairchance (CRM) in Lahore, where I worked for around 8 months. During this time, I gained hands-on experience in web development, automation, and client management systems, which helped me build strong technical and communication skills.
Later, I transitioned fully into Artificial Intelligence and Machine Learning, completing several certifications and three remote AI internships, where I worked on data preprocessing, model building, fine-tuning, and deployment. These experiences gave me practical exposure to Python, machine learning algorithms, and deep learning frameworks.
In parallel, I’ve built multiple personal projects — including recommendation systems, image classification models, and NLP-based applications — all of which are available on my GitHub.
Currently, I’m focusing on advancing my AI engineering skills through continuous learning and hands-on practice, and I’m now looking for a Machine Learning Engineer or AI Engineer position where I can apply my technical expertise, problem-solving mindset, and passion for AI to deliver meaningful solutions.
My key strengths are:
Strong problem-solving and analytical thinking, especially in Python and ML algorithm design.
Deep understanding of machine learning and AI concepts, from data preprocessing to model deployment.
Consistency and discipline — I work 12–14 hours daily to continuously learn and improve.
Adaptability — I’ve successfully completed remote internships, collaborating across time zones and teams.
Earlier, I used to focus too much on perfection before finishing a project, which sometimes slowed my progress.
Now, I’ve learned to prioritize progress over perfection — I break tasks into milestones, deliver quickly, and then refine through iteration.
This has improved both my productivity and project completion rate.
I’m highly organized, detail-oriented, and data-driven.
I prefer structured work — I plan my day with clear goals, focus deeply without distractions, and deliver consistent results.
I’m also very collaborative, open to feedback, and enjoy contributing to shared team goals.
I’m inspired by how [Company Name] uses technology and innovation to solve real-world problems.
Your focus on AI-driven solutions aligns perfectly with my background and career goals.
I want to contribute my skills in machine learning, model development, and optimization to a team that values innovation and impact.
Because it perfectly aligns with my technical skills and long-term vision.
This role allows me to apply my expertise in Python, ML algorithms, and AI frameworks while also giving me room to grow through challenging projects and collaboration with experienced professionals.
The opportunity to apply AI and ML models in real-world products that impact users excites me the most.
I love solving data-driven challenges — whether it’s improving model accuracy, optimizing pipelines, or deploying efficient solutions — and this role provides exactly that kind of environment.
In five years, I see myself as a Senior AI Engineer or Research Engineer, leading machine learning projects, mentoring others, and contributing to innovative AI systems that make a real difference.
I also aim to publish projects and contribute to open-source AI research.
I recently completed my remote AI internships, which gave me valuable hands-on experience.
Now, I’m looking for a full-time opportunity where I can apply what I’ve learned, work with a professional engineering team, and grow my career in a challenging, real-world environment.
During one of my AI internships, there was a disagreement about the best model to use for a classification project.
Instead of arguing, I proposed running both models and comparing them using evaluation metrics like accuracy and F1-score.
We made the decision based on data, not opinions — and it improved both teamwork and model performance.
In my remote internships, I worked with developers and researchers from different countries and time zones.
We coordinated through Slack and GitHub, shared updates regularly, and respected each other’s perspectives.
This experience strengthened my communication, adaptability, and cross-cultural teamwork skills.
I stay calm and focus on prioritization — identifying the most critical tasks first.
I break work into smaller chunks and track progress hourly if needed.
My disciplined routine helps me stay productive even under pressure.
I use a combination of urgency-impact analysis and planning tools like Notion or Trello.
I tackle high-impact tasks first while ensuring consistent progress on secondary tasks.
This approach keeps me efficient and reduces last-minute stress.
I perform best in an organized, collaborative, and growth-oriented environment — one that encourages innovation, open communication, and learning.
I value teams that are passionate, supportive, and focused on building real impact through technology.
Because I bring a mix of technical expertise, discipline, and real-world experience.
I’ve already worked on AI and ML projects in professional settings, and I consistently push myself to improve — from daily coding to building my GitHub portfolio.
I’m someone who delivers, learns fast, and stays committed to excellence.
I combine strong coding and analytical skills with a deep understanding of machine learning pipelines, from data collection to deployment.
My self-driven learning approach, remote collaboration experience, and consistent focus on real-world projects give me a unique professional edge.
I’m proud of completing three AI internships remotely while independently building a strong GitHub portfolio of projects — including a movie recommendation system, image classifier, and digit recognition model.
Balancing both learning and execution has been a key personal achievement.
During one project, my deep learning model initially performed poorly.
Instead of giving up, I analyzed the issue — improved data preprocessing, tuned hyperparameters, and optimized the model architecture.
This taught me that failure is just feedback and persistence leads to growth.
Yes — I’d love to know:
What kind of AI/ML projects or products is your team currently focusing on?
How do you define success for this role in the first six months?
Does your company support ongoing learning or certifications for AI engineers?
