KOYEL BISWAS

Cloud Engineer with over 3.6 years of experience designing, implementing, and managing cloud infrastructure solutions leveraging expertise in AWS, Azure, and ServiceNow. Managed Azure-based infrastructure for diverse clients, ensuring robust networking, high-availability storage solutions, and optimal virtual machine performance. Successfully collaborated with technical teams to execute projects, ensuring alignment with business objectives. Let's enjoy innovating together towards better mankind.

• Played a pivotal role in the successful launch of the Nuro project, an autonomous delivery system.
• Developed a 'Smart Stretcher' model integrating IoT, WAN, and Arduino for real-time patient data transmission to cloud systems and emergency contacts.

Highway, Helmets and endless hopes on roads

• TJX

      Collaborating with various team members in order to delivery a precise customer oriented deliverables. 

      With FMG, Fortinet Firewall, Cisco, Spectrum and on-calls duty, have been helping our clients to carryout various projects and their on-going business spectrum. 

• HSO - Patching
  Managed and maintained virtual machines (VMs) for optimal performance and security.
  Implemented a monthly patching cycle leveraging Azure and AWS services to automate updates and enhance operational efficiency.
  Proactively mitigated security vulnerabilities to ensure seamless client operations and data protection.
  
• HSO
  Monitored and managed client support tickets within ServiceNow, ensuring timely resolution and optimal service delivery.
  Leveraged and improved existing Standard Operating Procedures (SOPs) to enhance cost efficiency and reduce service delivery times for
  clients.
  Administered and optimized virtual machine (VM) access and performance across multiple locations for enhanced productivity and user
  experience.
• Nuro
  Contributed to the development of Nuro, an autonomous delivery system, by annotating data to train AI models for self-driving
  functionality.
  Performed Quality Assurance (QA) engineering on data image processing, focusing on LiDAR data accuracy to ensure robust object
  detection for the autonomous driving system.

• Smart Stretcher and Integrated Medical intelligence System
  Developed a "Smart Stretcher" model integrating IoT sensors, a WAN network, and an Arduino microcontroller for real-time patient health
  monitoring.
  Utilized C programming to interface sensors (BP, pressure) with the Arduino, transmitting data to a cloud-based system for remote
  monitoring and analysis.
  Designed a system architecture leveraging WAN connectivity to automatically alert emergency contacts and local authorities in critical
  situations.