🏆 My Rankistan Profile
Track my competitive programming rankings, university standing, and coding achievements on Rankistan.
name: Mirza Yasir Abdullah Baig
role: AI/ML Engineer & GenAI Content Creator
expertise: Generative AI · Deep Learning · MLOps
recognition: Kaggle Grandmaster | #1 on lablab.ai | Top 1% LeetCode
achievements: 30+ Hackathons | Stanford Code in Place (x2)
mentorship: 12,000+ Students @iCodeGuru & DSGuru
location: Lahore, Pakistan 🇵🇰
website: yasirinsights.com
status: Building. Competing. Mentoring. Growing.I don't just write code — I engineer intelligence.
From training CNNs that hit 95%+ accuracy to ranking #1 on the lablab.ai leaderboard, holding Kaggle Grandmaster status, and guiding 12,000+ students in AI, I push boundaries with every model, every commit, and every lesson.
"Every dataset tells a story. Every model reveals it. Every deployment makes it matter."
| 🏆 | Platform | Standing |
|---|---|---|
| 🥇 | Kaggle | Grandmaster (Datasets) · Silver Medal — 2026 NeuroGolf Championship (63rd/2,963 teams) |
| 🥇 | lablab.ai | #1 on the global leaderboard · 6,253 pts · Legend level · 16 hackathons attended |
| 💻 | LeetCode | Top 1% · 187+ problems solved · 200-Day Badge · 96.77% acceptance |
| ⌨️ | Monkeytype | 372-day streak · 102 WPM peak · 4,600+ tests completed |
| 🦉 | Duolingo | 306-day streak · 26,261 XP · Pearl League |
| 🎓 | Stanford Code in Place | Selected twice out of 66,000+ applicants |
| 🔗 | 13,900+ followers · Top 1% AI Content Creator | |
| 🧑🏫 | Mentorship | 12,000+ students @ iCodeGuru & DSGuru |
Mirza Yasir Abdullah Baig is an AI and Machine Learning Engineer from Pakistan with a strong passion for Generative AI, Deep Learning, Data Science, and Software Engineering. He specializes in building intelligent systems, developing machine learning solutions, and applying AI to solve real-world problems.
With a solid foundation in Computer Science, Data Structures & Algorithms, Python, and modern AI frameworks, he has worked across Machine Learning, Deep Learning, NLP, Computer Vision, and Generative AI — designing scalable AI applications, building ML pipelines, optimizing models, and transforming data into actionable insights.
He's an active participant in global AI and technology competitions, competing on Kaggle, lablab.ai, Devpost, and HackerRank, and has represented Pakistan in competitions organized by institutions including MIT, Harvard, and UC Berkeley (CALICO).
Currently, he's focused on advancing his career as an AI Software Engineer — leveraging Machine Learning, Deep Learning, and Generative AI to create innovative solutions with real-world impact, while remaining open to collaboration with engineers, researchers, startups, and organizations.
| # | Competition | Status |
|---|---|---|
| 1 | House Prices - Advanced Regression Techniques | Ongoing · 20 / 4,140 |
| 2 | Predicting Student Health Risk | 12h ago · 416 / 3,355 |
| 3 | The Pokémon Company — PTCG AI Battle Challenge Simulation | 15 days to go · 920 / 6,090 |
| 4 | AI Agent Security — Multi-Step Tool Attacks | 1 month to go · 1,004 / 2,640 |
| 5 | ROGII — Wellbore Geology Prediction | 4 days to go · 1,045 / 6,034 |
+ 15 more active competitions including ARC Prize 2026 (AGI-2 & AGI-3), Solar Filament Segmentation, Hyperspectral Object Tracking, and the Liquidity Arena AI Quant Trading Competition
| 🔬 Project | 🛠️ Tech | 🎯 Highlights |
|---|---|---|
| 🧠 PaperBand AI | Multi-agent · Groq LLaMA 3.3 | 3-agent research paper review pipeline |
| 🛡️ VanGuard — Open Web Threat Intelligence | React · Vite · Groq LLaMA 3.3 | Real-time threat dashboard, 3 detection modules |
| 🎯 Tumor Detection — YOLOv11 + SAM2 | YOLOv11 · SAM2 | Medical image tumor detection & segmentation |
| 🦾 Fine-Tuning LLaMA 3.2 (3B) with PEFT + LoRA | PEFT · LoRA | Parameter-efficient LLM fine-tuning |
| 🔍 RepoPilot AI | Groq · GitHub API | AI-powered GitHub repo analysis & chat |
| 🌾 Rice Disease Prediction Model | CNN · Streamlit | ~95% accuracy real-time classification |
| 🔐 PromptGuard-AI | RAG · Groq LLaMA 3.3 | Real-time adversarial prompt detection |
| 📈 Stock Market Trend Prediction | LSTM · Streamlit | Interactive stock forecasting demo |
| ✍️ MNIST Digit Classification Model | Scikit-learn · Gradio | Full handwritten digit recognition pipeline |
| 🐛 DevBug-AI | TF-IDF · LightGBM | Trained on 50,000+ bug reports for triage |
| 🎓 Certificate | Issuer | Date |
|---|---|---|
| International Computer Science Competition 2026 | ICSC | Jul 2026 |
| The 2026 NeuroGolf Championship — Silver Medal | Kaggle | Jul 2026 |
| Machine Learning Specialization | Stanford Online / DeepLearning.AI | Aug 2025 |
| Generative AI Engineering with LLMs | IBM | Dec 2025 |
| Mathematics for Machine Learning and Data Science | DeepLearning.AI | Aug 2025 |
| MLOps | Machine Learning Operations | Duke University | Oct 2025 |
| Data Structures and Algorithms (6-course) | UC San Diego | Jul 2025 |
| Code In Place | Stanford University | Jun 2026 |
| CALICO Contest Spring 2026 | UC Berkeley | Apr 2026 |
| AI-Powered Software and System Design | DeepLearning.AI | Sep 2025 |
Full list of 50+ certifications on LinkedIn
6,253 pts · Legend level · 16 hackathons attended · 15 submissions · Badges: Hackathon Legend, 5x Hacker, Profile Pro
187/4,005 solved · 96.77% acceptance · 200-Day Badge · Beats 81%+ on Medium/Hard problems
372-day streak · 102 WPM peak (15s) · 4,661 tests started / 4,618 completed · 157+ hours typed
306-day streak · 26,261 XP · Pearl League · 6 top-3 league finishes
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║ 🚀 MY PATH FROM CODE TO INTELLIGENCE
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║ PHASE 1 ✅ Core Foundations
║ ────────── Python · C++ · OOP · DSA · Git · Databases
║ BS Computer Science @ University of Lahore
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║ PHASE 2 ✅ Machine Learning & Data Science
║ ────────── Scikit-learn · NumPy · Pandas · Matplotlib
║ Kaggle Grandmaster | 20+ Active Competitions
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║ PHASE 3 ✅ Deep Learning & Computer Vision
║ ────────── TensorFlow · PyTorch · CNNs · LSTMs · NLP
║ 95%+ model accuracy | Real-world deployments
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║ PHASE 4 🔄 Generative AI & MLOps (IN PROGRESS)
║ ────────── LLMs · RAG Pipelines · Agents · Cloud Deployment
║ #1 on lablab.ai | Building production-ready AI
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💬 Open to AI/ML collaborations, research projects, and speaking opportunities!