Machine Learning Engineer
Current- Secured 850 hours of funding by successfully pitching to 6 Senior VPs and 200 employees during Candu's ‘Shark Tank’ – estimated $2 million company savings every 5 years
- Developed and fine-tuned a U-Net Concrete Crack Masking model achieving 87% F1 Score, trained on 33K images using Python, TensorFlow, Keras, CUDA, OpenCV, Pyspark, AWS, Azure DevOps
- Improved dataset quality and applied model to real-world scenarios using META's Segment Anything Model (SAM)
- Managed entire project schedule using MS Project, Azure Dev Ops, ensuring timely delivery and resource optimization