Mohd Taha Raheel

Backend engineer with production experience building reliable, high-throughput microservices on Qualcomm's Car-to-Cloud IoT platform — powering connected vehicle telemetry, diagnostics, and geofencing at scale across Java, Spring Boot, Kafka, and GCP. Delivered end-to-end features across real-time data pipelines, API security, and database schema migrations. Focused on system reliability, observability, and clean API design.

Program Analyst – Backend Developer - Cognizant

(2024-07)

Qualcomm Car-to-Cloud Platform • IoT Vehicle Telemetry Systems

• Architected and delivered Telemetry Current Value APIs with full CRUD support, leveraging modelCode and attributeName-based design to enable precise, scalable access to live vehicle telemetry data.
• Engineered production-grade RESTful microservices in Java and Spring Boot, powering telemetry and diagnostics pipelines processing high-volume vehicle events across multiple microservices on Qualcomm's Car-to-Cloud platform — the same platform powering connected vehicles like the Royal Enfield Flying Flea C6.
• Hardened platform security by engineering API key rotation workflows using Google Cloud Secret Manager, eliminating long-lived credentials across multiple services.
• Owned production incident response for a critical data persistence bug preventing last-parked location from being stored for ICE vehicles — diagnosed root cause, coordinated fixes across backend services and database schema, and resolved with zero data loss.
• Monitored service health and pipeline reliability using GCP Cloud Logging, identifying latency anomalies and resolving issues before they impacted downstream vehicle data consumers.
• Added new database columns using Liquibase migration scripts and updated related microservices, maintaining zero-downtime deployments across environments.
• Extended the Geofence Mapping API with dynamic status filtering (ALL, ACTIVE, FAILED, DELETED), enabling clients to efficiently query geofence states without additional post-processing.
• Designed and delivered a flexible Metadata Retrieval API supporting multi-parameter queries (modelCode, elementId, or both), improving data discoverability for downstream consumers.
• Owned and maintained the data enrichment utility service, responsible for bulk-importing and synchronizing master data (telemetry sensors, DTC codes, commands, geofence configurations) from Excel files into multiple PostgreSQL databases with upsert logic, Redis cache refresh triggers, and feature-flag-controlled orchestration across all import pipelines.
• Implemented end-to-end DTC processing flows for both ICE and EV vehicles, incorporating engine-type-based routing, session and systemId-scoped deduplication, and priority-driven notification logic — immediate dispatch for D0 codes and threshold-based triggering for D1/D2.
• Integrated Vehicle Metadata API to dynamically resolve engine type per vehicle at runtime, enabling the diagnostics pipeline to seamlessly support multiple vehicle types without hardcoded logic.
• Drove API design consistency across the platform by establishing and documenting patterns for pagination, error handling, and OpenAPI specifications — adopted across multiple microservice teams.

Software Engineering Intern - Cognizant

(2023-12 - 2024-04)

IoT Java Product Engineering • Backend & Cloud Applications

• Built a banking application backend using Java, Spring Boot, and MySQL covering account management and transaction operations.
• Documented and tested APIs using Swagger.
• Gained foundational knowledge in IoT architecture, networking fundamentals, and cloud-based applications.
• Developed frontend components using HTML, CSS, and JavaScript to complement backend services.

B.Tech - Engineering - Geethanjali College of Engineering and Technology (2019 - 2023)

Intermediate - MPC - Page Junior College (2016 - 2018)

High School - SSC - Matrusri E & L School (2016)