Portfolio & Case Studies

Challenge

Lead end-to-end product development from concept to closed beta launch for an AI-powered creative platform. Build and integrate multiple AI models (lyric generation, image generation, music composition) while leading cross-functional teams and incorporating early adopter feedback.

Solution

Architected multi-agent system combining prompt engineering, RAG, and function calling for creative AI workflows. Led MVP development with iterative design cycles based on early adopter feedback. Implemented AI observability and evaluation frameworks for model performance. Coordinated cross-functional teams across engineering, design, and product using Agile methodologies.

Results & Impact

• Successfully launched closed beta with integrated AI models
• Built multi-agent system for creative content generation
• Implemented RAG and vector databases for context-aware generation
• Established AI evaluation and benchmarking frameworks
• Led cross-functional team through 0→1 product development
• Incorporated feedback from early adopters into iterative releases

Technologies Used

Challenge

Design and implement a high-performance architecture capable of handling 10,000 requests per second while serving 51+ million users globally. The existing system was experiencing performance bottlenecks and needed a complete architectural overhaul.

Solution

Led the design and implementation of a distributed microservices architecture with strategic optimizations: implemented efficient caching layers with Redis, designed horizontal scaling strategies with Kubernetes, optimized database queries and indexing, and used gRPC for inter-service communication to reduce latency.

Results & Impact

• Successfully achieved 10,000+ requests per second throughput
• Reduced average response time by 65%
• Maintained 99.9% uptime on products serving 51M+ users at Cafe Bazaar
• Enabled seamless horizontal scaling during traffic spikes
• Implemented comprehensive monitoring with Prometheus and Grafana

Technologies Used

Challenge

Critical services written in Python were facing scalability issues and performance bottlenecks. The system needed to handle increasing load while maintaining service quality for millions of users.

Solution

Led a strategic migration of key services from Python to Go, focusing on high-traffic services first. Implemented comprehensive testing strategies, gradual rollout with feature flags, and extensive performance profiling using gprof. Established best practices for Go development across the organization.

Results & Impact

• Reduced memory usage by 75% across migrated services
• Improved response times by 80% on average
• Achieved better CPU utilization and concurrent request handling
• Created reusable Go libraries and patterns for future development
• Successfully migrated 15+ critical services with zero downtime

Technologies Used

Challenge

The system had evolved into an over-fragmented microservices architecture with inefficiently separated services. This created unnecessary network overhead, complex deployments, and difficult-to-maintain codebases.

Solution

Led the initiative to analyze service boundaries and consolidate inefficiently separated microservices. Identified services with tight coupling, merged them strategically, and redesigned APIs for better service boundaries. Implemented domain-driven design principles for clearer service definitions.

Results & Impact

• Reduced total number of services by 40% without losing functionality
• Decreased inter-service network calls by 60%
• Simplified deployment processes and reduced CI/CD time by 50%
• Improved system maintainability and developer productivity
• Reduced infrastructure costs by 30%

Technologies Used

Challenge

With rapid team growth and increasing system complexity, maintaining up-to-date documentation became a major challenge. Manual documentation was often outdated and developers spent significant time searching for information.

Solution

Developed an automated documentation generation system that extracted API documentation from code comments, generated interactive API references, and created system architecture diagrams. Integrated with CI/CD pipeline to ensure documentation was always current.

Results & Impact

• Automated 80% of documentation workflow
• Reduced onboarding time for new developers by 60%
• Created single source of truth for API documentation
• Improved cross-team communication and knowledge sharing
• System adopted organization-wide at Cafe Bazaar

Technologies Used

Challenge

Build a culture where engineers take complete ownership of their services from development to production, including deployment, monitoring, and data-driven decision making.

Solution

Implemented "zero to 100" ownership model where engineers owned their entire stack: wrote services, managed CI/CD pipelines, self-managed Kubernetes deployments, dockerized applications, monitored with Prometheus/Grafana, and ran A/B tests for data-driven decisions.

Results & Impact

• Increased deployment frequency from monthly to daily
• Reduced mean time to recovery (MTTR) by 70%
• Improved system reliability and uptime to 99.9%
• Enhanced developer autonomy and job satisfaction
• Created culture of accountability and continuous improvement
• Data-driven decision making became standard practice

Technologies Used

Challenge

Build and maintain a payment and wallet system serving 51+ million Persian-speaking users globally with high reliability, security, and performance requirements.

Solution

Developed robust payment processing services with comprehensive error handling, implemented secure wallet management with audit trails, designed idempotent APIs to handle network issues, and created real-time monitoring dashboards for transaction tracking.

Results & Impact

• Successfully served 51+ million users globally
• Processed millions of transactions with 99.99% success rate
• Achieved zero critical security incidents
• Implemented comprehensive fraud detection mechanisms
• Built scalable infrastructure handling peak loads during promotions

Technologies Used