Hitesh Kamwal

Geo Locator Application

• Standardized deployment workflows by implementing environment-aware configuration via appsettings.json, eliminating hard-coded URLs and enabling seamless, zero-code promotions across Dev, QA, and Production environments.
• Engineered SPA modules for interactive marker selection and automated SMS/Email notifications, incorporating API error handling and retry logic to enhance user journey.
• Developed a modular UI framework through reusable, brand-aligned layout components, which reduced markup duplication and ensured a consistent aesthetic across the platform.

DevOps Governance Dashboard (DevDash)

• Developed "DevDash," a centralized governance portal built with Blazor Server (.NET 8) and SQL Server, providing real-time intelligence on Azure DevOps builds, deployments, and pull requests for both executive and engineering teams.
• Engineered complex API integrations utilizing Azure DevOps PAT-based authentication (Graph, Build, and Release APIs), featuring custom pagination logic, entitlement merging, and per-project fallback mechanisms.
• Designed a resilient data-caching layer using IHostedService and background queues to snapshot PR and deployment metrics, effectively bypassing API throttling limits, and ensuring near-instant dashboard load times.
• Implemented role-based access control (RBAC) via secure cookie authentication and a UserAccessService, enforcing least-privilege visibility across organization and strengthening security.
• Integrated operational telemetry by surfacing Application Insights analytics and APIM failure summaries, allowing leadership to monitor delivery throughput, alongside system reliability.
• Delivered an enterprise-ready solution that eliminated manual data gathering across Azure DevOps, providing stakeholders with a "single pane of glass" view into organizational health and developer velocity.
• Enhanced performance and accessibility on low-bandwidth devices by optimising asset loading, implementing collapsible filter panels, and adhering to accessibility standards, resulting in a 30% reduction in map load flicker.
• Standardised deployment workflows by implementing environment-aware configuration via appsettings., eliminating hard-coded URLs, and enabling seamless, zero-code promotions across Dev, QA, and Production environments.
• Engineered resilient SPA modules for interactive marker selection and automated SMS/Email notifications, incorporating robust API error handling and retry logic to ensure a seamless user journey.
• Developed a modular UI framework through reusable, brand-aligned layout components, which reduced markup duplication and ensured a consistent aesthetic across the platform.

AI-Driven Document Intelligence System

• Spearheaded the development of an end-to-end document classification and automated data extraction pipeline, leveraging Python to transform unstructured documents into actionable structured data.
• Engineered a multi-stage processing architecture: Automated Classification: Developed a high-accuracy classification engine to categorise incoming documents by type and identifier.
  Predictive Entity Recognition: Fine-tuned machine learning models to identify and predict key metadata, including names, national IDs, and dates of birth.
  Structured Data Extraction: Built modules to extract and map identified entities into standardized formats (JSON/CSV), ensuring seamless downstream integration.
  Signal-to-Noise Optimization: Implemented advanced noise-filtering algorithms to strip away background artifacts and irrelevant text, significantly increasing OCR accuracy and data integrity.
• Delivered a scalable, production-ready solution that minimized manual data entry errors and accelerated document processing turnaround times

Advanced Facial Recognition & Analytics Suite

• Built an extensible plugin architecture to support multifaceted biometric analysis, including:
  Landmark & Head Pose Detection: For liveness detection and orientation tracking.
  Demographic Analytics: Automated recognition of age, gender, and mask compliance.
• Facilitated integration with intuitive GUI for standalone use and robust API layer for third-party system interoperability, enhancing usability and access.
• Prioritized computational efficiency, ensuring the system maintained high frame rates and low latency without requiring specialized GPU hardware.

• Strategized and governed the commission disbursement lifecycle for a nationwide network of agents and franchisees, ensuring high-precision financial reconciliation and operational compliance.
• Led cross-functional collaboration between Sales, Finance, and IT for timely system updates, serving as Subject Matter Expert (SME) on end-to-end commission architecture.
• Authored comprehensive Business Requirement Documents (BRDs) to translate complex commission structures into actionable technical specifications, enhancing alignment between business and engineering teams.
• Engineered optimized logic and algorithms in collaboration with the IT department to refine the franchisee commission engine, enhancing the system's scalability and calculation accuracy.
• Established tracking and audit mechanisms to monitor IT development sprints, ensuring final deliverables aligned with organizational business logic and regulatory requirements.