Seasoned and strategic technologist with expertise in computer vision. ASIC/FPGA chip design for LLM/ML acceleration. Tech Expertise: Computer Vision, Large Language Models, Computer Vision at the Edge aka Edge ML-AI/ML: Tensorflow, MLOps, CUDA, cuDNN, SageMaker, SageMaker Neo, DeepRacer, CNN, Active Learning, Transfer Learning, NLP, Café, PyTorch, Model Evaluation Techniques, Synthetic Data, LiDAR, Object detection, GluonCV, Faster RC-NN, YOLOv3, Hyperparameter tuning and others. Familiarity with Nvidia Omniverse Isaac Sim, Jetson AGX, Riva, Merlin, Quantum compute, Procedural Generation and others.- Containerization/DevOps: Kubernetes, HPC, Slurm, AWS Parallel Cluster, AWS Batch, AWS Fargate, AWS EKS, AWS ECS, Helm, Terraform, Jenkins, Chef, Ansible, CI/CD, OneOps and various other tools- BigData: SparkSQL, Databricks, Data Lake, Kafka (certified), Hortonworks/Cloudera Hadoop, Hbase, Lambda Architecture for Batch & Stream processing, Cassandra, ElasticSearch, Kibana, Solr, Spark, Goblin and other.