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Work Experience

My Professional Journey

A track record of delivering high-stakes financial technology and leading world-class engineering teams.

AI Delivery Lead

Independent Consultant
Remote
2024 – Present

Founded consulting practice focused on production AI deployment for banking and fintech clients. Shipping production LLM systems — not decks, not proofs-of-concept, but working agents that handle real transactions and pass real audits.

Key Achievements:

  • Designed and deployed multi-agent KYC screening system using LangChain and Azure OpenAI, processing 15,000+ daily compliance checks with 94% accuracy on first-pass review
  • Built RAG pipeline with Pinecone vector database for regulatory document retrieval, reducing compliance team research time by ~40%
  • Led architecture and delivery of customer-facing AI assistant handling 8,000+ daily inquiries across 3 markets, delivered 2 weeks ahead of schedule
  • Architected real-time transaction scoring system combining LLM-based analysis with traditional ML models, reducing false positive alerts by ~25%
  • Implemented LLMOps monitoring (model drift detection, token usage tracking, cost allocation dashboards), cutting monthly inference costs by ~30%
LangChain
Langflow
LangGraph
Azure OpenAI
Python
RAG
Multi-Agent Orchestration
LLMOps
Pinecone

Team Leader, Applications

Commercial Bank of Dubai
Dubai, UAE
May 2022 – Dec 2024

Led cross-functional team of 10 engineers delivering enterprise banking applications for Personal Banking and Mobile Channels. Spearheaded migration from legacy monolith to microservices architecture on Kubernetes.

Key Achievements:

  • Maintained 100% on-time delivery across 12 major releases for critical, high-volume digital banking applications
  • Migrated legacy monolith to microservices on Kubernetes, improving deployment frequency from bi-weekly to daily
  • Drove PCI DSS compliance across application layers, reducing security audit findings by ~85% year-over-year
  • Implemented CI/CD pipelines with Docker and Kubernetes, cutting release cycle from 2 weeks to 2 days with 99.5% deployment success rate
  • Achieved 90% reduction in system outages through new Change Advisory Board (CAB) and release protocols
  • Increased team productivity by 30% through process optimization and Agile methodology implementation
  • Led AI exploration initiative, prototyping first internal LLM chatbot for employee IT support (pilot delivered in 6 weeks)
  • Ensured full compliance with KYC, AML, ODD, and PCI DSS regulations across all digital channels
Kubernetes
Docker
CI/CD
PCI DSS
Microservices
iOS
Android
Swift
Agile

Mobile Chapter Lead / Engineering Manager

International Bank of Azerbaijan
Baku, Azerbaijan
Jun 2020 – May 2022

Managed 8-engineer team responsible for core banking platform modernization, completing full digital overhaul in 18 months. Directed multiple squads of iOS developers across disparate regions.

Key Achievements:

  • Architected event-driven microservices (Java/Spring Boot, Python) handling 500K+ daily transactions with 99.9% reliability
  • Led KYC/AML automation deployment, reducing manual compliance review time by ~65%
  • Championed digital transformation of the mobile division, modernizing legacy systems
  • Established engineering practices: code review standards, automated testing (85%+ coverage), incident response protocols reducing MTTR by ~45%
  • Secured $2M+ budget approval for infrastructure modernization through executive-level business case presentations
  • Coached and mentored junior developers into senior roles, building internal capacity
Java
Spring Boot
Python
Event-Driven Architecture
KYC/AML
Microservices
iOS
Swift

Senior Software Engineer

ING Bank / eBay
Netherlands / Remote
2015 – 2019

Developed high-throughput payment processing systems and e-commerce features, handling 1M+ daily API requests across digital banking and marketplace platforms serving 5M+ customers.

Key Achievements:

  • Built RESTful APIs and event-driven microservices for ING digital banking platform serving 5M+ customers
  • Designed automated fraud detection pipelines, reducing false positives by ~25% and accelerating screening by ~40%
  • Developed high-throughput payment processing systems handling 1M+ daily API requests
  • Mentored junior engineers and led technical design reviews
Java
Spring
Python
REST APIs
Microservices
Fraud Detection
Payment Processing