Malik Hamza Nawaz
Machine Learning Engineer
📍 Islamabad, Pakistan
📞 +92-3129591213
📧 hamza.nawaz2021@gmail.com
🔗 LinkedIn Profile
🌟 About Me
I’m a passionate Machine Learning Engineer with over 2 years of experience in deploying ML models, MLOps, and cloud solutions (GCP, AWS). My expertise lies in developing LLM-based solutions for the insurance industry, where I focus on optimizing claim processing workflows and enhancing accuracy. I thrive in collaborative environments and enjoy delivering impactful real-world applications.
💼 Work Experience
Sigma Square AI – Islamabad, Pakistan
Machine Learning Engineer (Jan 2023 – Present)
- 🛠️ Designed and deployed an end-to-end insurance claim processing pipeline on Google Cloud Platform (GCP) using open-source Mistral LLMs. Improved model accuracy from 78% to 86%.
- 📈 Enhanced an insurance claim prediction model’s accuracy from 70% to over 80%, benefiting clients by streamlining claim workflows.
- 📊 Developed an Instagram Post Reach Predictor, analyzing image features and successfully deploying it on AWS.
- 📰 Created a News Recommendation App, leveraging ML algorithms to personalize content for users, increasing engagement.
Sigma Square – Islamabad, Pakistan
Machine Learning Intern (Sep 2022 – Dec 2022)
- 🔗 Built an ETL pipeline to integrate Yelp data into an insurance claim paid loss model, improving predictive accuracy.
- 📄 Implemented an OCR-based document verification system for efficient passport information extraction.
🎓 Education
University of Engineering and Technology Mardan – Mardan, KPK Pakistan
Bachelor of Science in Computer Software Engineering (August 2022)
Cumulative GPA: 2.85/4.0
🛠️ Skills
Programming Languages
Machine Learning
- Frameworks: TensorFlow, PyTorch, scikit-learn
- Tools: Airflow, HuggingFace, Transformers
- Specializations: NLP, Computer Vision, LLMs, Vector Databases
Data Science
- A/B Testing
- ETL Pipelines
- Data Wrangling & Visualization
- Hypothesis Testing & Statistics
DevOps
- Cloud Platforms: AWS, GCP
- CI/CD Pipelines
- Docker & Cloud Deployment
DataBases
🚀 Projects
1. Insurance Claim Processing Pipeline
- 🌐 Built a scalable pipeline on GCP using Mistral LLMs for insurance document data extraction.
- 📈 Improved injury code prediction accuracy from 78% to 86%.
2. Instagram Post Reach Predictor
- 📊 Developed and deployed a model to predict Instagram post reach based on image features.
- ☁️ Hosted the application on AWS.
3. News Recommendation App
- 📰 Created a personalized news recommendation system using machine learning algorithms.
- 📈 Increased user engagement and satisfaction.
Feel free to reach out for collaboration or inquiries regarding machine learning projects!
📧 hamza.nawaz2021@gmail.com | 🔗 LinkedIn
Thank you for visiting my portfolio! 🌟