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Danil LobanovDL
Looking for a job

Danil Lobanov

@danillobanov

I build production backend and AI inference systems that connect models to reliable user experiences.

China
Message

What I'm looking for

I'm looking to build and operate production backend and AI inference systems, owning reliable services from design through deployment, observability, and iteration on real user needs.

At AppFox, I own 10+ ASP.NET Core microservices serving live production traffic, including gateway, identity, inventory, store, and orchestration services. I reduced API latency by up to 50% through hot-path optimization, query tuning, Redis caching, and response aggregation.

Previously at Valletta Software Development, I designed and operated an HRTech SaaS AI inference layer using Semantic Kernel, Google Gemini, embeddings, and vector retrieval. I made model behavior observable and auditable with PII-safe data handling, operation logging, rationale tracking, and retry and failure handling.

I've also built high-throughput telemetry ingestion and real-time operator control systems at Empire of Bloom. I take products from discovery and schema design through deployment, production metrics, and iteration on real usage.

Experience

Work history, roles, and key accomplishments

AP
Current

Senior Backend Engineer

AppFox

Dec 2025 - Present (9 months)

Owns 10+ ASP.NET Core microservices serving live production traffic, including API Gateway/BFF, Identity, Inventory, Store, and orchestration. Reduced API latency by up to 50% through hot-path optimization, query tuning, Redis caching, and gateway response aggregation.

VD

Full-Stack / Backend Developer

Valletta Software Development

Mar 2023 - Oct 2025 (2 years 7 months)

Designed and ran the AI inference layer of an HRTech SaaS using Semantic Kernel and Google Gemini for generated onboarding plans and insights. Built orchestration and batching with event-driven pipelines, outbox pattern, and background workers, and delivered 50+ stable REST APIs.

Education

Degrees, certifications, and relevant coursework

Moscow Engineering Physics Institute logoMI

Moscow Engineering Physics Institute

Master of Science, Software Engineering

2024 -

Grade: 3.8/4.0

Pursuing a Master of Science in Software Engineering with a GPA of 3.8/4.0, expected to graduate in July 2026.

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