AI / Systems Infrastructure & Performance Optimization by Maxim KushnirAI / Systems Infrastructure & Performance Optimization by Maxim Kushnir
AI / Systems Infrastructure & Performance OptimizationMaxim Kushnir
Cover image for AI / Systems Infrastructure & Performance Optimization
End-to-end engineering of production AI pipelines combined with deep-level backend performance optimization and code audits. I build deterministic LLM orchestration systems with strict schema validation while resolving CPU, memory, and database bottlenecks. For compute-heavy workloads, I build native Rust extensions (PyO3) embedded directly into Python runtimes to bypass the GIL and achieve maximum throughput.
Production AI Integration & Guardrails: Asynchronous LLM pipelines, RAG setup, prompt injection defenses, and strict Pydantic v2 schema validation to eliminate non-deterministic failures.
Native Rust Extensions (PyO3 / Rayon): Rewriting CPU-bound algorithms, simulations, or data transformations in native Rust to run off-GIL with sub-millisecond latency.
Systems Profiling & Optimization: Identifying memory leaks, event-loop blocking, slow database queries, and async IO bottlenecks.
Security & Architectural Audits: In-depth codebase reviews for OWASP vulnerabilities, race conditions, and type safety gaps, accompanied by zero-downtime refactoring roadmaps.
FAQs

Contact for pricing
Duration1 week
Tags
AWS
Claude
Docker
Python
Redis
Rust
Software Architect
Artificial Intelligence
Service provided by
Maxim Kushnir Milan, Italy
AI / Systems Infrastructure & Performance OptimizationMaxim Kushnir
Contact for pricing
Duration1 week
Tags
AWS
Claude
Docker
Python
Redis
Rust
Software Architect
Artificial Intelligence
Cover image for AI / Systems Infrastructure & Performance Optimization
End-to-end engineering of production AI pipelines combined with deep-level backend performance optimization and code audits. I build deterministic LLM orchestration systems with strict schema validation while resolving CPU, memory, and database bottlenecks. For compute-heavy workloads, I build native Rust extensions (PyO3) embedded directly into Python runtimes to bypass the GIL and achieve maximum throughput.
Production AI Integration & Guardrails: Asynchronous LLM pipelines, RAG setup, prompt injection defenses, and strict Pydantic v2 schema validation to eliminate non-deterministic failures.
Native Rust Extensions (PyO3 / Rayon): Rewriting CPU-bound algorithms, simulations, or data transformations in native Rust to run off-GIL with sub-millisecond latency.
Systems Profiling & Optimization: Identifying memory leaks, event-loop blocking, slow database queries, and async IO bottlenecks.
Security & Architectural Audits: In-depth codebase reviews for OWASP vulnerabilities, race conditions, and type safety gaps, accompanied by zero-downtime refactoring roadmaps.
FAQs

Contact for pricing