Engineering leader with 15+ years in backend engineering, 5+ years in leadership roles, currently a Senior Engineering Manager directing a cross-functional team of 20+ engineers. I build scalable backend platforms and distributed systems, and translate business strategy into engineering roadmaps that ship measurable, large-scale impact across international markets.

I've extended that same focus into AI-powered applications and GenAI platforms, applying the same principles of reliability, observability and simplicity to LLM-based systems — including AI-driven product features and GenAI-assisted engineering workflows.

Build systems that scale. Make them observable. Keep them simple.

Great engineering organizations combine: strong architecture + pragmatic technology choices + reliable systems + high-performing teams + continuous learning.

• Directing and scaling cross-functional engineering teams
• Translating business KPIs into actionable, high-impact engineering roadmaps
• Architectural oversight for scalable, secure, highly-available platforms
• Engineering excellence, reliability and observability as org-wide practices
• Process optimization — removing bottlenecks, streamlining agile delivery
• Mentorship, career pathing and upskilling engineering talent
• GenAI platform strategy and AI-native product development

• Leadership & Scale — Directed and scaled a high-performing, cross-functional engineering team of 20+ engineers.
• Product Delivery — Spearheaded development and rollout of multiple high-impact digital products with robust performance and seamless UX.
• Revenue Generation — Drove significant revenue growth by conceptualizing and launching new AI-powered product lines.
• Global Impact — Expanded product capabilities to serve a large-scale user base across multiple international markets.
• Process Optimization — Boosted team goal completion rates by 25% by removing technical bottlenecks, streamlining agile workflows, and deploying Cursor for GenAI-assisted development.
• Business Alignment — Partnered closely with product and business stakeholders to turn strategic KPIs into engineering roadmaps.
• Architectural Oversight — Provided end-to-end architectural leadership for scalable, secure, highly-available platforms.
• Talent Development — Cultivated a culture of engineering excellence through mentoring, clear career development paths, and upskilling.

Java Spring Boot Spring Security Hibernate Python Node.js REST APIs GraphQL Microservices Event-Driven Architecture Kafka RabbitMQ ActiveMQ Async Processing Resilience Patterns

React Angular Thymeleaf

PostgreSQL Oracle MongoDB Cassandra DynamoDB Redis Hazelcast

Areas of interest: database scalability, query optimization, replication, partitioning, connection pooling, distributed caching, high-throughput data access.

Kubernetes Docker Helm AWS Azure Istio Kong

Focus areas: containerized platforms, API gateways, service-to-service communication, configuration & secrets management, autoscaling, resilience engineering.

OpenTelemetry Prometheus Grafana ELK

Focus areas: distributed tracing, SLO/SLI, error budgets, production diagnostics, performance engineering.

OAuth2 JWT SAML SSO Vault

Focus areas: authentication & authorization, API security, secrets management.

Led GenAI platform strategy spanning AI-driven product features, RAG and agentic tooling, and LLM gateway infrastructure — plus adoption of AI-assisted development (Cursor) to raise team productivity.

Core areas: LLMs RAG AI Agents MCP LLM Gateway & Model Routing LLM Evaluation.

Models & platforms: Claude, GPT, Gemini, Grok, plus open/local models (Llama, Qwen, Mistral, DeepSeek, Gemma via Ollama).

Scaling AI-driven products across international markets, and growing GenAI-assisted engineering practices across the team — from AI-powered product features to LLM platform infrastructure.

GitHub · LinkedIn · Stack Overflow

⭐ Exploring engineering leadership, distributed systems and enterprise AI platforms — feel free to browse my repositories and experiments.