🎓 Mechanical Engineer & AI/ML Enthusiast | 🤖 Problem-Solver | Tech Innovator

I am a passionate professional with a strong foundation in AI/ML. I love programming, and computational research. I have experience in applying machine learning models to real-world challenges. I thrive at the intersection of technology and innovation.

• AI/ML Development:
  • Building and fine-tuning machine learning models to derive insights and enable data-driven decisions.
  • Expertise in Python-based frameworks like TensorFlow and Scikit-learn.
• Language Model Trainer:
  • Evaluating and optimizing large language models (LLMs) using Reinforcement Learning from Human Feedback (RLHF).
  • Focused on improving AI systems for accuracy, reasoning, and user-centric interactions.

• Machine Learning Expertise:

  • Developed predictive models for analyzing two decades of environmental data using tools like ARIMA, SARIMAX, and XGBoost.
  • Implemented logistic regression models for real-world applications such as fall detection systems for the elderly.

• Technical Leadership:

  • Designed and implemented automation solutions, leveraging APIs and Python to streamline workflows.
  • Conducted simulations using cutting-edge tools like Ansys.

• Professional Development:

  • Selected for the MIT Emerging Talent Certificate Program (2024-25) for computer and data science.
  • Aspire Leaders’ Program Fellow (Harvard Business School) – Leadership and skill development.
  • Millennium Fellowship – Global project leadership aligned with UN SDGs.

• Programming:
  • Python (TensorFlow, Scikit-learn, Jupyter)
  • APIs and automation
  • MATLAB, Arduino IDE
• Data Analysis:
  • Machine learning pipelines
  • Predictive modeling
• Tools & Software:
  • SolidWorks, Ansys
  • Microsoft Office Suite
  • Git/GitHub
• Certifications:
  • Machine Learning Specialization (Stanford Online)
  • Mathematics for Machine Learning Specialization (Imperial College London)
  • Crash Course on Python (Google)
  • SolidWorks Fundamentals (Edx)

• Selected for the MIT Emerging Talent Program (2024-25).
• Published innovative research on machine learning models and composite materials.
• Recipient of multiple fellowship opportunities for leadership and technology innovation.

1. AI-Powered Air Quality Prediction
   Built ML models (ARIMA, SARIMAX, XGBoost) for forecasting pollutant concentrations.

2. Fall Alert System
   Designed a smartphone-based ML system using logistic regression to enhance safety.

3. Automation with Digital Twins
   Streamlined mechanical system designs through Python-powered real-time monitoring.

4. CFD Simulations & Data Analysis
   Delivered precise simulations and insights for complex systems using Ansys.

• 📧 Email: [email protected]
• 🔗 LinkedIn: linkedin.com/in/shahroz657
• 🌐 Portfolio: View Here