ABOUT SUGIL

Machine Learning Engineer • Mathematician • Problem-Solver

I build scalable systems that solve real business problems.

Currently developing enterprise automation platforms that reduced operational costs by $200K+ per SMB/department annually while supporting 600+ employee workflows across multiple states. My background spans from low-level C/C++ optimization to ML pipeline deployment on AWS.

Recent highlights:
• Architected and deployed containerized ERP system handling $24M revenue streams
• Built predictive models for manufacturing optimization using PyTorch/scikit-learn
• Led technical recovery of $17M manufacturing operation, preventing facility shutdown

I combine mathematical rigor (Ph.D. Mathematics, MSU) with hands-on engineering to deliver measurable business impact. Always excited to tackle complex technical challenges.

Tech stack: Python, C/C++, SQL, Docker, AWS, Django, PyTorch

Feel free to reach out anytime ☕️🪴