Mirza Yasir Abdullah Baig is an AI and Machine Learning Engineer from Pakistan, recognized for his expertise in generative AI, deep learning, and data-driven intelligent systems. With a strong foundation in computer science, data structures, algorithms, and programming, he has carved a niche for himself in AI research, applied machine learning, and full-stack software engineering. Mirza Yasir Abdullah Baig is not only a problem solver but also a mentor, educator, and prolific content creator in the AI and tech space.
Born and raised in Lahore, Pakistan, Mirza Yasir Abdullah Baig developed an early passion for technology, programming, and artificial intelligence. He pursued his Bachelor of Science in Computer Science at The University of Lahore from November 2019 to July 2023, graduating with a CGPA of 3.11/4.0.
During his studies, he completed a range of relevant coursework, including:
Data Structures & Algorithms – Strengthening problem-solving skills.
Object-Oriented Programming & Programming Languages – Building versatile coding expertise.
Artificial Intelligence & Machine Learning Fundamentals – Understanding the theoretical foundation behind AI models.
Linear Algebra, Probability, and Statistics – Essential mathematics for ML model development.
Database Systems, Operating Systems, Software Engineering, Computer Networks – Practical engineering skills for scalable software solutions.
Compiler Design, Automata Theory, Numerical Methods, Discrete Mathematics – Advanced computing concepts to tackle complex problems.
His final-year project, “Smart Rescue & Emergency Alert Android Application,” demonstrated his ability to implement real-world solutions. The project, built with Java, Android Studio, Firebase, and Google Maps API, included features such as speed-drop detection, automatic emergency alerts, real-time location tracking, and integration with hospitals and police stations. This project reflected both his technical skills and his focus on societal impact.
Mirza Yasir Abdullah Baig has built a diverse and impressive professional portfolio, spanning web development, AI/ML engineering, data analytics, and software solutions.
Since June 2024, Mirza Yasir Abdullah Baig has been the CEO of Yasir Insights, a platform dedicated to AI, machine learning, and digital education. Here, he develops intelligent, scalable solutions and mentors students in AI/ML concepts, helping them build practical skills.
During a remote internship at Arch Technologies (April–June 2025), Mirza Yasir Abdullah Baigdeveloped machine learning projects such as YOLO Arena, Diabetes Prediction, Heart Disease Analysis, and Customer Churn Analysis. His role covered:
End-to-end data preprocessing and feature engineering.
Exploratory Data Analysis (EDA) and visualization.
Implementing ML models and deploying interactive demos using Streamlit and Netlify.
Applying mathematical intuition to optimize ML models and pipelines.
This experience cemented his hands-on ability to develop, deploy, and optimize AI solutions in real-world environments.
At DevelopersHub Corporation© (July–September 2025), Mirza gained experience in deep learning and AI model deployment, collaborating with remote teams to deliver AI-driven solutions and refine models for performance and scalability.
During his Data Analyst Fellowship at Fluxxion (June–July 2025), he honed skills in data cleaning, transformation, and visualization using Python, SQL, and Power BI, producing actionable insights from real-world datasets.
Between July 2024 and March 2025, Mirza served as a WordPress developer and SEO expert, planning and executing strategies to improve organic traffic, search engine ranking, and overall website performance.
His earlier experience includes a web development internship at Ultra Codes (Nov 2023–Feb 2024), where he gained practical exposure to React.js and building responsive, interactive web applications.
Mirza is passionate about giving back to the community through teaching, mentoring, and structured learning programs.
iCodeGuru – As a Python instructor, he guides beginners in programming fundamentals, fostering strong coding foundations.
DS Guru – Founded by Mirza, this volunteer-led community teaches AI, ML, and data science. He mentors over 50 students per batch, offering structured roadmaps, assignments, quizzes, and project guidance to make learners job-ready.
Mentorship focuses on practical problem-solving, AI model implementation, and hands-on coding practice, ensuring students develop both theoretical understanding and applied skills.
Mirza has an extensive portfolio of AI, ML, and data-driven projects, demonstrating both technical mastery and creativity.
Agentic Commerce on Arc Hackathon (Jan 2026)
Built an AI-as-a-Service (AIaaS) billing system with token cost estimation and wallet-based access.
Tools: Google Gemini/PaLM, Streamlit, Python.
Implemented realistic AI monetization, reflecting production-grade AI system logic.
Co-Creating with GPT-5 Hackathon (Aug 2025)
Designed multi-agent AI architecture for disaster response, medical triage, and logistics planning.
Integrated APIs and social data feeds for real-world simulation.
Tools: Python, NASA EONET, OpenRouteService, custom web dashboard.
AI GENESIS Hackathon (Nov 2025)
Developed a Retrieval-Augmented Generation (RAG) pipeline converting websites into knowledge bases.
Tools: Google Gemini 2.5 Flash, ChromaDB, vector databases, Streamlit.
Image Classification Model (CIFAR-10)
Tools: Python, TensorFlow, Keras, CNN, Streamlit.
Achieved ~80–85% test accuracy for multi-class image recognition.
Stock Market Trend Prediction Model
LSTM-based model for 1–30 day forecasting using historical OHLCV data.
Tools: TensorFlow, Pandas, NumPy, scikit-learn.
CNN-based model predicting diseases like Blight, Brown Spot, and Leaf Smut.
Achieved ~95% validation accuracy.
ML and DL models for binary sentiment classification.
Tools: Python, TensorFlow, Scikit-learn, NLP tokenization.
Accuracy: ~85–90%.
Mirza’s accomplishments reflect his consistency, dedication, and technical expertise:
Selected among 30,000+ applicants as a Section Learner in Stanford University’s Code In Place Program.
Ranked in the top 4.2% of LeetCode users, solving 100+ problems in DSA.
Recognized as a top 5% LinkedIn AI content creator with over 10,000 followers.
Maintained 150+ day streaks on Duolingo (English learning) and Kaggle (data science competitions).
Mirza Yasir Abdullah Baig has completed multiple prestigious courses, covering AI, ML, deep learning, and generative AI:
Generative AI Engineering with LLMs Specialization (IBM, Dec 2025)
MLOps | Machine Learning Operations Specialization (Duke University, Oct 2025)
Neural Networks and Deep Learning (DeepLearning.AI, Sep 2025)
Machine Learning Specialization (DeepLearning.AI, Aug 2025)
Mathematics for Machine Learning and Data Science Specialization (DeepLearning.AI, Aug 2025)
Data Structures and Algorithms Specialization (UC San Diego, July 2025)
Advanced SQL and Data Analysis (Kaggle, June 2025)
Additional courses include Generative AI fine-tuning, RAG and LangChain projects, cloud computing, AI agents, and MLOps tools like MLflow and SageMaker.
Mirza’s technical skills span multiple domains:
Languages: Python, SQL, JavaScript
Frameworks: FastAPI, Flask, Django, LangChain, Streamlit, Gradio
Python Libraries: NumPy, Pandas, Matplotlib, Seaborn, Plotly, Scikit-learn, TensorFlow, Keras, PyTorch, OpenCV
Tools & Software: Jupyter Notebook, PyCharm, VS Code, Git, Bash, Ubuntu, AWS, Power BI, Excel
Databases: MySQL, NoSQL
Generative AI & LLMs: LangChain, RAG, Chatbots, Prompt Engineering
Google I/O Extended Islamabad 2025 – Explored AI, web, and cloud technologies.
Generative AI Bootcamp (Wrapify Labs × RWU × AWS) – Hands-on experience with AI tools and practical solutions.
Hackathon Leadership – Led teams in 3+ hackathons under lablab.ai, managing projects end-to-end.
DS Guru Community Lead – Mentored students in AI/ML for practical skill development and career guidance.
Mirza Yasir Abdullah Baig actively shares his knowledge and progress through multiple platforms:
Kaggle: Ranked among top contributors with multiple datasets, silver and gold medals, and 200+ days of consistency.
LeetCode: Solved 147+ DSA problems, maintaining streaks and ranking in the top percentile globally.
Medium & LinkedIn: Shares AI/ML insights, tutorials, and project showcases, reaching thousands of learners monthly.
Portfolio Website: YasirInsights.com – Highlights AI projects, hackathons, and learning resources.
Social Media: Engages in AI discussions on platforms like X (Twitter), Instagram, and Facebook, building a global AI community.
Mirza’s journey emphasizes consistency, discipline, and practical learning. He believes that even short, focused daily practice in coding, AI research, or data analysis can accumulate into measurable progress and tangible results. His teaching and mentorship philosophy reflects this, encouraging students to learn by doing and build real-world AI solutions.
Mirza’s professional and academic credibility is supported by esteemed mentors and leaders:
Saira Moin U Din, Ph.D., Scholar/Lecturer, University of Lahore
Rizwan Ghaffar, Ph.D., Principal Engineer, Broadcom Inc.
Yasir Gayor Malik, MSBS, Lecturer, University of Lahore
Zafar Shahid, Ph.D., Technical Lead/Staff Engineer, Meta
Mirza Yasir Abdullah Baig represents the modern AI engineer – a blend of strong technical foundations, innovative thinking, practical execution, and community engagement. From developing AI models and real-world ML solutions to mentoring future tech leaders, his journey embodies dedication, continuous learning, and measurable impact. Whether it’s generative AI, deep learning, data analytics, or teaching, Mirza continues to shape the AI landscape, inspiring aspiring engineers and contributing to the global technology community.
With his combination of skills, achievements, and thought leadership, Mirza Yasir Abdullah Baig is a leading figure in Pakistan’s AI and Machine Learning ecosystem and an emerging influencer in global AI circles.
