• Machine learning engineering for binary analysis, document processing, and generative AI systems

• Developed neural network models for code intelligence, vulnerability detection, and automated configuration generation

• Built and deployed production ML pipelines using LLMs, computer vision, and reinforcement learning

• Developed NLP-based autocorrect and data validation systems for document processing

• Implemented Python-based automation reducing processing time and error rates

• Optimized Ads CTR prediction serving infrastructure, reducing latency by 70% and increasing throughput by 60%

• Designed scalable architecture improvements for high-throughput ML serving systems

• Built data processing pipeline optimizations and computer vision systems for document analysis

• Developed OpenCV-based automation reducing manual data entry costs by 80% across 50k+ documents