• Solution Architecture: Created a microservice-ready architecture to support a modular platform that could scale with the startup?s growth.
• Tech Stack & Infrastructure: Selected technologies including cloud-based hosting, RESTful APIs to ensure smooth, reliable, and secure transactions.
• Real-Time Analytics: Implemented data analytics for insights into customer behavior, order patterns, and peak periods to help restaurants streamline operations.
• Integration & API Design: Designed integrations with third-party services for delivery, payment, and POS systems to streamline operations within existing restaurant workows.

• Architecture Design: Architected a scalable IoT solution with a cloud-native infrastructure, supporting high data throughput and low-latency requirements.
• Tech Stack Selection: Dened the tech stack, including message brokers for communication, cloud services for data processing and storage, and data analytics tools for actionable insights.
• Scalable Infrastructure & Cloud Deployment: Leveraged container orchestration with Kubernetes on the Azure cloud platform, enabling automated scaling, fault tolerance, and rolling updates across services.
• Security & Compliance: Integrated end-to-end data security, complying with GDPR standards to ensure data privacy and safety.
• Cross-functional Collaboration: Coordinated with hardware teams, software developers, and product managers to align the platform with business goals and operational requirements.
• DevOps & CI/CD Pipelines: Established CI/CD pipelines for consistent and rapid deployment across environments. Integrated IaC (Infrastructure as Code) to provision resources and improve deployment repeatability.
• Testing and Quality Assurance: Designed automated testing strategies, including unit, integration, and end-to-end tests, to ensure a stable and bug-free platform. Established continuous feedback loops to improve functionality and reduce downtime.

• Solution Architecture: Architected a scalable, event-driven integration platform using cloud-native technologies. The system supported bidirectional data synchronization between Odoo and other business-critical systems.
• Integration Design: Implemented integration workows using REST and XML-RPC APIs to ensure compatibility with Odoo?s native architecture. Created adapters for third-party systems to enable seamless communication.
• Data Transformation and Mapping: Designed ETL pipelines to handle data extraction, transformation, and loading processes. Ensured proper data mapping and validation to maintain consistency across all integrated systems.
• Cloud Infrastructure: Leveraged Microsoft Azure for scalable processing and storage. Implemented a scalable cloud infrastructure to optimize costs while maintaining high availability and fault tolerance.
• Security and Compliance: Applied encryption, OAuth2, and access control policies to secure data exchange. Ensured compliance with industry standards such as GDPR for data privacy and integrity.

• Microservice Architecture Design: Architected a distributed microservice backend to support modular and independently deployable services, ensuring high reliability and scaling to meet variable workloads.
• API Development & Management: Developed and documented RESTful APIs, enabling secure and ecient communication between microservices and end-user clients. Established API gateway congurations for rate limiting, load balancing, and security enforcement.
• Application Integration: Built integrations with various third-party applications (e.g., payment systems, user authentication, and data storage) to unify data streams and reduce dependencies on external systems.
• Scalable Infrastructure & Cloud Deployment: Leveraged container orchestration on the Azure cloud platform, enabling automated scaling, fault tolerance, and rolling updates across services.
• Testing & Quality Assurance: Implemented automated testing frameworks, including unit, integration, and API tests, to ensure reliability and maintainability. Set up performance monitoring and health checks for real-time issue detection and diagnostics.
• Deployment & Monitoring: Implemented DevOps practices to streamline CI/CD and ensure reliable deployment across multiple geographic regions.
• Security & Compliance: Applied data encryption, access control, and compliance checks to ensure end-to-end security and meet industry regulations for handling sensitive client data.

Enterprise Identity and Authorization Platform

Role: Full-Stack Developer

Overview:

Contributed to the development of a hybrid enterprise identity provider platform that combines on-premises and cloud-based components to oer secure authentication and complex, ne-grained authorization across applications. The solution provided seamless integration with legacy systems while ensuring scalable, cloud-enabled identity management to meet high security and compliance standards.

Responsibilities:

• Full-Stack Development: Developed core identity and access management (IAM) features, including user registration, multi-factor authentication (MFA), and single sign-on (SSO).
• Authorization Engine: Built and optimized a rule-based authorization engine to enforce complex role-based access control (RBAC) and attribute-based access control (ABAC) policies, enabling granular permissions tailored to users and applications.
• Hybrid Cloud Integration: Helped engineering a hybrid architecture enabling on-premises functionality while securely extending to the cloud for scalability.
• Directory and SSO Integration: Integrated with existing enterprise directories (e.g., Active Directory and LDAP) and implemented SSO across multiple enterprise applications for a unied user experience.
• Security and Compliance: Applied encryption protocols, OAuth2, OpenID Connect, and SAML standards for secure access and data protection. Ensured compliance with relevant data privacy and industry standards (GDPR).
• Testing and Quality Assurance: Built automated test suites for identity workows, including user registration, password reset, and MFA ows, to maintain reliability.
• CI/CD and DevOps Practices: Integrated CI/CD pipelines, automating deployment, testing, and rollback processes across both on-premises and cloud environments.

Role: Full-Stack Developer

Overview:

Developed a proof-of-concept cloud application that uses generative AI to dynamically create tailored advertisements based on viewer proles and preferences. The platform analyzed demographic and behavioral data to personalize ad content, increasing relevance and engagement. This approach aimed to optimize ad performance by delivering customized visuals, text, and calls to action designed to resonate with specic audiences.

Responsibilities:

• Backend Development: Designed and built the backend with Node.JS to handle user data processing, ad generation requests, and AI model integration. Set up asynchronous task handling to streamline AI response times for faster ad generation.
• AI Model Integration: Integrated generative AI models capable of creating text and image-based content tailored to specic viewer attributes (age, location, interests). Developed algorithms to process viewer data and determine relevant ad themes, colors, and messaging.
• Frontend Development: Built an intuitive frontend in Angular, enabling users to input campaign parameters, review AI-generated ads, and provide feedback. The interface displayed ad previews in real time, allowing users to experiment with targeting criteria and instantly view ad variations.
• Deployment Pipeline: Set up a CI/CD pipeline for rapid iteration, automating testing and deployment of the proof of concept to a cloud environment for trial purposes.

• Backend Architecture & Development: Designed and implemented a lightweight backend to process, store, and analyze infrared camera data. Optimized the architecture to handle real-time data input from multiple cameras, ensuring low latency.
• Data Processing & Analysis: Developed data processing pipelines for muscle temperature readings, utilizing algorithms to assess changes in muscle temperature and correlate these with training intensity and recovery. Implemented thresholds and alerting for tracking potential overuse or underperformance.
• API Design for Real-Time Monitoring: Built RESTful APIs to support real-time data retrieval for both gym utilization and muscle temperature tracking. APIs enabled frontend access to user-specic metrics, equipment usage heatmaps, and other data visualizations.
• Database Management: Congured a NoSQL database for fast, scalable storage of high-frequency camera data. Designed data models to store both gym usage data and temperature-based training metrics eciently.

Cinema Terminal Reservation and Information System

Role: Full-Stack Developer

Overview:

Built a proof-of-concept WPF application for cinema terminals to provide an interactive experience where users could view information about upcoming movies, check showtimes, make reservations, and complete mock ticket purchases. The application enabled self-service access for cinema-goers, streamlining the reservation process and enhancing customer engagement with upcoming cinema events.

Responsibilities:

• Front-End Development (WPF): Designed and implemented a user-friendly interface in WPF that displayed movie details, showtimes, trailers, and availability. Integrated smooth navigation and responsive UI elements to provide an intuitive, kiosk-style user experience.
• Backend Development: Developed a lightweight backend with ASP.NET Core to handle reservations, mock payment processing, and movie database management. The backend supported real-time updates to reect seat availability and reservation statuses.
• Database Management: Set up a relational database (SQL Server) to manage movie data, showtimes, seat reservations, and transaction records. Designed ecient data models to optimize the system?s performance and reliability for quick access at the terminal.
• API Design & Integration: Created RESTful APIs to allow real-time data exchange between the terminal and the backend, supporting features such as reservation conrmations, seat selection, and viewing purchase history.
• Mock Payment Processing: Implemented a simulated payment module to mimic purchase ows for testing purposes, providing users with a realistic checkout experience without actual transactions.
• Error Handling & UX Optimizations: Added error handling for common kiosk scenarios (e.g., invalid input, network issues) and optimized loading times to ensure a smooth, interruption-free experience.