Microtec Inc

• Implemented CNN and transformer models for multi-class lumber defect segmentation for 7 client projects
• Enhanced model robustness to lighting and sensor variations through channel-wise custom augmentations
• Optimized GPU memory handling in training through profiling studies, achieving a 4x increase in batch size
• Reduced labeling efforts by 75% while improving performance through strategic use of out-of-domain data
• Engineered custom CUDA kernels to optimize batch validation function complexity from O(n) to O(1)
• Developed effective fine-tuning techniques to enhance feature transfer from source to target domains

Microtec Inc

• Conducted R&D and successfully implemented state-of-the-art CNN architecture, bringing it to production
• Created sampling strategies to address class imbalance, boosting IoU by 80% for underrepresented classes
• Developed specialized loss functions leading to a 90% reduction in false positive instances of wood defects
• Engineered multi-GPU training pipeline to achieve 4x faster training speeds and reduced development time
• Collaborated with senior engineers to develop custom metrics for better model selection and optimization
• Optimized models for deployment using ONNX and TensorRT, enhancing inference speed and efficiency

Oregon State University

• Developed automated data pipeline converting system logs to provenance graphs for security analysis
• Trained graph neural network model to detect anomalies and malicious system activities in real-time
• Implemented various data preprocessing techniques to improve model performance and reliability

Amrita Vishwa Vidyapeetham

• Designed an algorithm of O(n.log(n)) complexity to distribute inference load among multiple AI accelerators
• Developed an algorithm to determine computational complexity of deep learning models in IR format
• Wrote Linux scripts and modified code in C make files to resolve build issues in legacy software

Oregon State University

Focusing on Machine Learning, Computer Vision, and Deep Learning applications.

Amrita Vishwa Vidyapeetham

Computer Science with focus on AI and Machine Learning.