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  • Amdocs UK LTD
  • London
  • 23:38 (UTC +01:00)

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mohakhan03uk/README.md

Hi, I'm Mohammad Imran Khan

AI Tech Lead and distributed systems engineer with 11+ years of experience building mission-critical real-time event processing and monetization platforms where latency, uptime, and consistency are product-critical. Strong record across architecture, hands-on C++/Java engineering, AWS migration, Kubernetes platforms, active-active resiliency, and production performance engineering.

Delivered production designs and performance improvements for high-availability distributed systems, including 4-site active-active deployment, 70-80% faster recovery, 60% fewer event conflicts, sub-50ms replica lag, and 30% higher JVM throughput. Owns customer-facing architecture from high-level design and technical reviews through development, testing, rollout, and successful go-live.

Technical Focus

  • High-throughput, low-latency distributed systems
  • Active-Active architectures & fault tolerance
  • Performance tuning, concurrency, and memory optimization
  • Cloud-native systems on Kubernetes (EKS) & AWS
  • Production reliability, RCA, and system observability
  • Infrastructure as Code (IaC)
  • Real-time event processing for telecom billing platforms at scale
  • Efficient use of in-memory data grids, Memcache, Redis
  • GenAI & agent engineering: RAG, tool-calling agents, LangChain/LangGraph, MCP
  • AI Tech Lead: taking AI systems from prototype to production

Tech Stack

Core Engineering C++ Java Linux

Distributed Systems & Data Kafka HBase

Cloud & Platform Kubernetes AWS Terraform Helm

GenAI & Agents LangChain LangGraph OpenAI Claude MCP Cursor

Domains Real Time Event/transaction Processing Distributed Systems RAG & Agents

What I’m Working On

  • Designing and operating Active-Active real-time charging systems
  • Kubernetes-based deployments with zero-downtime upgrades
  • Performance optimization in C++, Java, VMs
  • Improving recovery time, idempotency, and event consistency at scale
  • Mentoring engineers in debugging, design, and production incident handling

Engineering Interests

  • GenAI, Agentic Development and Observability
  • Distributed coordination & consistency
  • Event-driven systems and streaming platforms
  • Stateless microservices and horizontal scaling
  • Deep debugging (gdb, perf, valgrind)
  • System design for scalable workloads

🎓 Certifications

  • Certified Kubernetes Application Developer (CKAD)

🔗 Connect

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