Radha Krishna Srimanthula

About Radha Krishna Srimanthula

Well rounded technology executive with 24 years of strong engineering leadership and system architecture experience.KEY STRENGTHS- Strong experience in leading teams delivering Deep Learning SDKs for ML Accelerators (GPUs and Custom)- Strong Engineering Leadership – setting up teams from scratch, training, mentoring and leading to deliver software/ firmware products- Envisioning end-to-end solutions, defining product road maps, establishing Agile systems for executions- Strong, hands on system architecture and implementation experience- Well versed with hardware life cycles and setting up software teams to delivery software for hardware- Strong stakeholder management skills – establishing strong liaisonship between business and technology teams- Outsourcing and ODC ManagementDOMAINS- Deep Learning SDKs with ML Accelerators (GPUs and Custom)- Cloud Engineering - On-premise cloud infrastructure for Baremetal/ VMs and Container environments- Embedded Linux, System Emulations for Embedded Systems- DevOps (CI/ CT/ CD) for Embedded Systems and Language SDKs at scale- Distributed Systems, Microservices - Big data Infrastructure (Hadoop/ Spark/ Kafka)- IoT - Remote Monitoring and Management Solutions- Broadcast Video Generation, Monitoring and AnalysisSIGNIFICANT ACHIEVEMENTS- Led multiple engineering teams at AMD and SambaNova that were a part of delivering Deep Learning SDKs for ML Accelerators- Delivered an integrated on-premise cloud platform tackling a variety of baremetal/ virtual/ container environments for Deep Learning GPU development- Delivered an extensible Virtual Printer Platform based on QEMU for HP\'s Inkjet Printers, capable of running printer firmware as-is, catering to firmware development and CI/ Test teams- Built a \"Build and Test Factory\"- a DevOps platform for HP\'s Printer Firmware using Virtual Printers- An extensible Hadoop based ecosystem for HP\'s Print Analytics platform- An end-to-end RMS and Analytics for Prysm\'s video walls- Filed for three patents related to overlay processing in Intel’s Integrated Graphics Chipsets.TECHNOLOGIES- Machine Learning / Deep Learning: PyTorch, LLVM, mlflow, Kubeflow- Hardware Platforms: x86, x86_64, ARM A9/ R4/ A7/ A57- Emulation Technologies: QEMU, xvisor- Operating Systems: Windows, Linux, Embedded Linux, ThreadX, FreeRTOS- Languages/ IDEs/ Technologies: C, C++, Java, Python, Django, Redis, REST, Protocol Buffers, RabbitMQ, Redis, MQTT- DevOps/ Automation Toolchains: Ansible, Docker, Kubernetes, VMWare, VirtualBox- Big Data Ecosystems: Hadoop, Spark, Kafka

Experience

1. Senior Manager, Ai Software Solutions

   AMD

   Apr 2024 — Present · Austin, TX, US

Education

• Jawaharlal Nehru Technological University

  B. Tech, Electronics and Communications Engineering

  1995 — 1999

Skills

• Debugging
• System Architecture
• Linux
• Rtos
• C
• Software Design
• C++
• Python
• Scrum
• Ansible
• Software Solution Architecture
• Firmware
• Threadx
• Embedded Linux
• Embedded Systems
• Jenkins
• Device Drivers
• System Emulation
• C#
• Continuous Integration
• Embedded Software
• Video Over Ip
• Django
• Devops
• Busybox
• Mysql
• Distributed Systems
• Redis
• Remote Monitoring
• Arm
• Mpeg2
• Broadcast Video
• Rhel
• Ubuntu
• Freertos
• Qemu
• Nms
• Agile Methodologies