class MushtaqueAli:
    def __init__(self):
        self.name        = "Mushtaque Ali"
        self.role        = ["AI Engineer", "ML Developer", "Full-Stack Developer"]
        self.location    = "Sukkur, Sindh, Pakistan 🇵🇰"
        self.education   = "BS Computer Science — Sukkur IBA University (2023–2027)"
        self.scholarship = "🏆 STHP Scholar — 100% Merit-Based Fee Waiver"
        self.experience  = [
            "AI Intern @ Tech Life Fusion (Active)",
            "Data Science Intern @ Unessa Foundation",
        ]
        self.stack       = ["Python", "TensorFlow", "PyTorch", "FastAPI", "React", "Docker"]
        self.stats       = {
            "records_processed": "50K+",
            "model_accuracy":    "87%",
            "best_f1_score":     "0.84",
            "internships":       2,
        }
        self.available   = True  # Open for remote AI/ML roles & freelance

    def say_hi(self):
        print("Available for remote AI/ML roles, freelance AI projects & collaborations 🚀")
        print("I respond within 2 hours — let's build something great together!")

me = MushtaqueAli()
me.say_hi()

🤖 AI Intern — Tech Life Fusion (Jun 2026 – Present · Active)

• Working on real-world ML model development and deployment
• Applying computer vision, model training, and production-ready ML workflows
• Remote internship at a productivity-focused AI company

📊 Data Science Intern — Unessa Foundation (Feb 2026 – Apr 2026)

• Cleaned and transformed 50,000+ record datasets using Pandas & NumPy — reduced missing-value rates by 30%
• Built classification models achieving 87% accuracy and 0.84 F1-score
• Performed feature engineering and model evaluation on validation datasets

Food recognition using Vision Transformer (Food-101, 101 classes) + Groq LLaMA-3.3-70B personalized coaching. Full-stack with Streamlit, SQLite, Docker, Hugging Face deployment. 88% classification accuracy · Sub-second inference · Containerized with Docker

Full-stack MERN app with role-based access (customer/restaurant/admin), real-time order tracking, MongoDB Atlas, and sales dashboard. 3 user roles · Deployed on Vercel · End-to-end order lifecycle

Real-time HTML/CSS/JS live editor with instant preview. Zero dependencies, runs entirely in the browser.

Custom implementation with Laplace Smoothing — within 2% of Scikit-learn's GaussianNB across 3 benchmark datasets. CLI interface for interactive predictions.

🤖 AI Engineering

🚀 Backend & Deployment

🌐 Full-Stack

📊 Data Science & Analytics

💻 Languages & Tools

Government / Professional

• 🏅 IBM Data Science Professional Certificate — Coursera / IBM
• 🎓 Certified Data Scientist — PITP / Govt of Sindh
• 🐍 Certified Python Developer — PITP / Govt of Sindh
• 📊 Data Analytics & Business Intelligence — DigiSkills / Ignite
• 🤖 Machine Learning Using Python — Simplilearn
• 🧠 AI Agents for Beginners — Simplilearn
• 🎙️ Building AI Voice Agents with VAPI — DataCrumbs
• 🧪 Crash Course in Data Science — Johns Hopkins / Coursera

Workshops & Events

• 📈 Power BI Workshop — Data Seekho x Microsoft MLSA
• 🏁 PROBATTLE'26 — ML Module, IBA Karachi
• 🔧 Git & GitHub Essentials — IBA Sukkur CSE Society
• 🖥️ DEN Coding Cup — Digital Empowerment Network

Achievements

• 🏆 STHP Scholarship — 100% Merit-Based Fee Waiver, Govt of Sindh (2023)
• 🥇 Pakistan Mathematical Olympiad — PMC Competition, IBA Sukkur (2022)
• 🤖 Kaggle AI Agents Capstone — Google x Kaggle Hackathon Participant (2026)

BS Computer Science — Sukkur IBA University (Aug 2023 – May 2027)

🏆 STHP Scholar — 100% Merit-Based Scholarship | CGPA: 3.29/4.00

Relevant Coursework: Artificial Intelligence · Data Science · Database Systems · Data Structures & Algorithms · Software Engineering · Computer Networks · OOP