Professional Profile
With over seven years of progressive experience in software engineering, architecture, and technical leadership, I specialize in building scalable, cloud-native platforms and driving AI innovation in enterprise environments. I have led high-impact projects across system design, backend microservices (Ruby on Rails, Node.js, GoLang), and cloud infrastructure using AWS, Kubernetes, and Docker.
As CTO at AIREV, I architected and delivered OnDemand.AI, the UAE’s first AI Operating System. I led the end-to-end design of its infrastructure and workflow engine, enabling scalable deployment of LLMs, custom agents, and ML workflows across Kubernetes clusters. Most recently, I introduced MCP (Model Context Protocol) servers to the platform, allowing users to integrate third-party tools like Stripe and Asana, deploy dedicated auto-scaled services, or onboard their own GitHub-hosted MCPs via fully managed CI/CD pipelines.
Throughout my career, I’ve held key roles as Lead Technical Architect, Technology SME, and Lead Engineer, overseeing cross-domain architecture across applications, security, data, and DevSecOps. My work at Fireflies.ai, Finllect, and SchoolHack.ai involved building production-grade applications, alternate credit scoring systems, and AI-powered educational tools, respectively—applying advanced analytics, ElasticStack, and cloud-scale deployment patterns.
I bring a strong command of backend engineering, DevOps practices, and cloud orchestration, paired with excellent communication and team leadership. My ability to align deep technical execution with strategic goals has consistently enabled delivery of high-performing, reliable systems in fast-paced, collaborative environments.
Relevant Projects
• OnDemand.AI – AIREV/Core42: Designed and launched a cloud-native AI OS with an embedded agent workflow engine, LLM deployment infrastructure, and MCP protocol integration, empowering enterprises to build and orchestrate AI workflows at scale.
• Fireflies.ai (USA): As a Senior Software Engineer at this leading conversation intelligence platform, I led the development of a secure private storage infrastructure for enterprise customers, enabling organizations to safely manage and retain AI-transcribed meetings and voice data within isolated environments—ensuring compliance, control, and performance in regulated sectors.
• Finllect: Built an alternate credit scoring platform aimed at advancing financial inclusion in underserved MENA markets. Engineered scalable APIs, automated data pipelines, and backend services to support real-time credit decisioning.
• SchoolHack.ai: Delivered AI-powered education tools designed to automate assignments, enhance productivity, and streamline learning workflows for students and educators using intelligent automation and NLP.
Skills and Competencies
• Backend & Cloud Technologies: Node.js, Ruby on Rails, GoLang, AWS (EC2, S3, EKS, Lambda), Docker, Kubernetes, Firebase
• Architecture & Infrastructure: Scalable system design, microservices, distributed systems, containerized deployments, event-driven architecture
• DevOps & Automation: CI/CD pipelines (Jenkins, GitHub Actions), Terraform, serverless deployment, monitoring (Prometheus, Grafana), autoscaling
• AI & ML Workflows: LLM deployment, model orchestration, Retrieval-Augmented Generation (RAG), MCP protocol integration, secure AI data storage
• Data & Observability: ElasticStack (Elasticsearch, Kibana), PostgreSQL, MongoDB, Redis, data pipelines, logging and traceability
• Agile & Leadership: Cross-functional team leadership, agile coaching (Scrum, Kanban), stakeholder communication, roadmap execution
• Security & Compliance: Enterprise-grade data protection, secure cloud environments, isolated storage architecture, access control policies
• Workflow & Integration: REST APIs, Webhooks, MQTT, GitHub integrations, automation platforms
As the CTO at AIREV, I played a critical role in the development and deployment of On-Demand.AI, the UAE’s first AI Operating System, designed to revolutionize enterprise AI model workflows. My contributions spanned across technical strategy, system architecture, and implementation, ensuring the platform delivered cutting-edge AI capabilities with scalability and efficiency.
Key achievements and responsibilities include:
• Microservices Architecture: Designed and implemented a microservices-based architecture using Kubernetes, enabling seamless scalability, fault tolerance, and high availability across enterprise deployments.
• Model Deployment Pipeline: Built advanced pipelines for model deployment, incorporating Retrieval-Augmented Generation (RAG) and multi-model workflows that allow businesses to deploy and manage diverse AI models with ease.
• Infrastructure as Code: Automated the provisioning of infrastructure on AWS using Terraform, enabling rapid scaling of resources for fluctuating enterprise demands.
• AI Workflow Orchestration: Developed a workflow engine for orchestrating AI tasks, supporting BYOM (Bring Your Own Model) and BYOI (Bring Your Own Inference) endpoints, with seamless integration to enterprise systems via REST APIs and MQTT protocols.
• Security and Compliance: Embedded stringent security protocols to ensure adherence to GDPR, ISO 27001, and other global data protection standards. Implemented role-based access control (RBAC) to safeguard sensitive data and AI models.
• Vector Database Integration: Utilized Qdrant for vector-based data storage and retrieval, optimizing search and contextual operations for AI-enhanced workflows.
• Advanced Load Balancing: Configured Nginx Plus as an ingress controller to manage high traffic loads and ensure smooth operation across distributed nodes.
• Monitoring and Observability: Integrated monitoring tools like Prometheus and Grafana to provide real-time insights into system performance, enabling proactive issue resolution and performance tuning.
• Cross-Team Collaboration: Partnered with cross-functional teams to deliver a unified user experience, ensuring smooth integration of AI solutions into client workflows.
The successful deployment of OnDemand.AI has positioned it as a transformative solution for enterprises, offering unmatched flexibility and functionality in deploying AI models at scale. This platform has set a new benchmark for AI operations in the region, receiving widespread recognition for its innovative approach and robust performance.
As the CTO at SchoolHack.AI, I spearheaded the development of an innovative, all-in-one AI-powered educational platform that has scaled to serve over 3.3 million users globally within a short span of time. This groundbreaking platform revolutionizes learning experiences for students at all educational levels by integrating advanced AI and scalable technology solutions.
Key achievements and responsibilities include:
• Scalable Microservices Architecture: Designed and implemented a highly scalable microservices architecture using Docker and Kubernetes, enabling the platform to handle rapid user growth and high traffic loads efficiently.
• AI-Driven Learning Tools: Integrated cutting-edge AI technologies, including machine learning and natural language processing models, to personalize learning experiences, automate assessments, and provide real-time feedback to students and educators.
• Multi-Cloud Infrastructure: Deployed the platform across AWS and Google Cloud Platform (GCP) for optimal scalability and cost efficiency, leveraging Terraform for Infrastructure as Code to ensure consistent and reproducible deployments.
• Real-Time Collaboration: Built real-time collaboration tools using WebSocket technologies, enabling students and teachers to interact seamlessly across virtual classrooms.
• ElasticSearch Implementation: Implemented ElasticSearch for advanced search capabilities, enabling quick access to educational resources, user analytics, and personalized content delivery.
• Data Privacy and Compliance: Designed the platform with a security-first approach, embedding compliance with FERPA, GDPR, and other global education and privacy standards. Introduced robust access control mechanisms to ensure data integrity and confidentiality.
• Workflow Automation: Developed automated workflows for content curation, assignment grading, and performance analytics, reducing manual workload for educators and increasing efficiency.
• Database Optimization: Utilized a hybrid database approach with MongoDB and PostgreSQL to optimize for both structured and unstructured data storage, ensuring fast query responses and data integrity.
• Monitoring and Observability: Integrated monitoring solutions like Prometheus and Grafana to track performance metrics and identify system bottlenecks proactively.
• Collaborative Development: Worked closely with product teams, educators, and users to incorporate feedback, ensuring that the platform addresses real-world educational challenges effectively.
At my role as consultant at Fireflies.AI an industry leading i work system design for various features, development of high traffic and scalable, extensive microservices architecture which serves millions of users worldwide for an AI assistant that helps in capturing their online meetings and using AI to transcribe, summarize and understand context of captions generated, i worked with various teams to ensure smooth integration, extensive coding testing practices, realtime system integrations using event streams, distributed queues etc. and most importantly security to ensure adherence to GDPR, restricted access to meeting content to provide sensitive discussion of the customer base.
Design the system architecture and lead the development team in the producing 2 products Meets App and MeetsMeta Platform:
Key Skills and Expertise
Cloud-Native Infrastructure & DevOps: Expert in Kubernetes, Docker, and automated CI/CD pipelines (Jenkins, GitHub Actions) for scalable and resilient deployments
Scalable System Architecture: Proven ability to design and lead the implementation of distributed, microservices-based systems across cloud platforms (AWS, GCP)
Backend Engineering: Advanced proficiency in Nodejs, Ruby on Rails, and GoLang for high-performance backend services
AI & Machine Learning Infrastructure: Hands-on experience with LLM deployment, Retrieval-Augmented Generation (RAG), and ML model orchestration at enterprise scale
API & Data Layer Design: Expertise in building and optimizing REST APIs, with strong command of SQL and NoSQL databases (PostgreSQL, MongoDB, Redis, Qdrant)
Observability & Monitoring: Skilled in ElasticStack (Elasticsearch, Kibana), Prometheus, and Grafana for performance tuning and operational visibility
Web3 & Secure Infrastructure: Experience implementing decentralized systems, embedded wallets, and enterprise-ready private AI storage
Technical Leadership: Proven success leading cross-functional teams, driving architecture decisions, and aligning technical roadmaps with business outcomes
• Architected the UAE’s first AI Operating System (OnDemand.AI), leading its successful launch in partnership with Core42, establishing a national benchmark for enterprise-grade AI infrastructure.
• Led secure enterprise AI storage development at Fireflies.ai (USA), enabling Fortune 500 clients to manage AI-transcribed meeting data with privacy and regulatory compliance.
• Recognized as 1st Runner-Up in the MTN Apps Challenge (Ghana) for developing an IoT-based solution, showcasing innovation in hardware-software integration at a national level.
• Secured early-stage funding across multiple startups, validating product-market fit and demonstrating consistent execution from concept to investor-backed growth.
• Pioneered MCP (Model Context Protocol) integration into the OnDemand platform, introducing plug-and-play third-party service orchestration and serverless deployment pipelines for AI workflows.
• Successfully led cross-continental engineering teams, delivering production systems for fintech, edtech, and AI verticals under tight timelines and evolving scopes.
Highly adaptable and results-driven, I thrive in fast-paced environments where learning and applying new technologies is essential. With a strong foundation in IT, engineering, and emerging tech, I bring a proactive mindset and a commitment to delivering high-quality outcomes. Known for going beyond the expected, I approach complex challenges with curiosity, precision, and a passion for innovation—consistently exceeding expectations and contributing to impactful results.