
Danil Lobanov
@danillobanov
I build production backend and AI inference systems that connect models to reliable user experiences.
What I'm looking for
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
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.
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.
C#/.NET Developer
Empire of Bloom
Sep 2021 - Feb 2023 (1 year 5 months)
Built a high-throughput telemetry ingestion pipeline from edge devices with MQTT bridge, buffering, and backpressure handling. Streamed live state to operator clients over SignalR with real-time control loops.
Education
Degrees, certifications, and relevant coursework
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.
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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