Shreyas Shad

• Full-Stack & Firmware Development: Dual role on the platform development team, managing both back-end services and firmware development for client edge devices.
• Engineered Kafka-based solutions to process real-time online product data while ensuring seamless integration between UI/UX features and new client product initiatives.
• System Integration & Agile Delivery: Integrated custom firmware with Azure IoT Hub, Azure AD, Digital Twins, and Azure Edge SDK to deliver secure, real-time telemetry and remote control across European and North American deployments.
• Led iterative development cycles in a Scrum environment, collaborating closely with DevOps, UI/UX, analytics, cybersecurity and business teams.
• Innovation & Pre-Sales Support: Evaluated AI productivity tools (Copilot, ChatGPT, Atlassian Jira, Bit.ai, Notion) and developed proofs-of-concept (e.g., Azure Stack Edge, .NET Aspire) for pre-sales engagements.
• Earned the Go the Extra Mile Award , Insta Award and company-wide recognition for cross-domain innovations.

Projects :

• Remote Automatic Tank Gauging

Developed a proprietary firmware for client that integrates edge devices with an Azure‑based cloud backend to deliver real‑time tank gauging data from Veeder Root Devices and control signals from cloud to edge.

• Digital Learning & Certification Platform

Redesigned the online exam module by decoupling hard-coded APIs, transforming it into a decentralized and secure service using Apache Kafka for distributed processing and scalability.

• Innovation projects (POCs) for Pre‑Sales

Developed proofs-of-concept on .NET Aspire and Azure Stack Edge PRO2 as templated solutions, designed to serve as a potential marketing tool by providing ready-to-showcase frameworks for prospective customers.

Technologies Used:

Azure Stack Edge Pro 2, .NET Aspire ,Apache KAFKA , C#, Azure IoT Hub, Azure AD, Digital Twins, Azure Edge SDK, Docker.

• Cloud & API Development: Designed and developed robust Web APIs and cloud back-ends for client hardware and monitoring platforms.
• Collaborated with firmware teams to configure hardware controllers with Azure IoT and built Azure Function Apps to support secure backend services.
• Solution Enhancement: Contributed significantly to scalable client solutions with strong emphasis on reliable IoT connectivity and data processing.
• Earned Team Excellence Award and Collaboration Award for working in complex hardware and software integration setup.

Projects:

• Ackumen Platform: Smart, Predictive, and Effortless System Management Through Cutting-Edge Technology in Paper and Pulp Industry
• • Developed telemetry mappings and engineered custom commands to controllers for real‑time monitoring and data mapping for demand forecasting.
  • Implemented automated safety alerts using Azure monitor and created custom alerts for technicians, while collaborating with hardware and testing teams.
• ISense remote monitoring : provides real-time updates on sites, the status of equipment, and the state of sales, allowing Fuel station owners to monitor pricing, maintenance issues, flow rates and more.
  • Built Azure Function Apps with Blob Triggers to reconcile automated telemetry against manual submissions.
  • Delivered a real‑time audit reporting and alert monitoring solution in close collaboration with hardware and UI teams.
• Technologies Utilized: .NET Core, Azure Functions, Azure IoT Hub, C#, RESTful APIs, SCADA, SQL

• Project : Developed Python-based test cases to automate the validation and performance analysis of Cisco Optical Transport Network (OTN) routers. Designed a proof-of-concept (PoC) debugging tool to assist escalation teams in diagnosing and resolving network anomalies efficiently.
• Wrote clear, clean code for various projects.
• Worked with developers to identify and remove software bugs.

• Project :Designed and implemented an IoT communication framework utilizing MQTT to enable seamless, lightweight messaging between sensor devices. The framework facilitated efficient data transmission in real-time, supporting low-bandwidth, high-reliability environments crucial for industrial IoT applications.
• Attended development team trainings, daily meetings, and huddles.
• Partnered with team members to learn best practices in software design.