Backend & AI Infrastructure Engineer building production-grade, high-performance systems distributed systems, real-time AI applications, and reliability tooling.
My work focuses on the engineering behind AI products,streaming inference, fault-tolerant task processing, retrieval systems, observability, and backend architectures that continue working under failure.
- Design fault-tolerant distributed systems with Celery, Redis, and AWS.
- Build production AI infrastructure including voice AI, retrieval, and LLM orchestration.
- Optimize latency across real-time inference pipelines.
- Engineer reliable async backends using FastAPI, gRPC, and PostgreSQL.
- Build observability into AI systems using OpenTelemetry and Langfuse.
- Contribute to open-source backend and AI infrastructure projects.
Languages
Python (Async) • SQL (PostgreSQL) • Protobuf • Javascript
Backend & Distributed Systems
FastAPI • gRPC • Celery • Redis (Lua) • SQLAlchemy • Docker
AI Systems
LlamaIndex • CrewAI • LiteLLM • Weaviate • pgvector • ONNX Runtime • Langfuse
LLMs OpenAI • Anthropic • Gemini • Ollama
Cloud AWS • GitHub Actions • LocalStack
Relier — Zero-Job-Loss Reliability Layer for Celery
Open-source reliability layer implementing the Phoenix Pattern.
100% task delivery under worker failure. pip install relier
Gia — Voice Music Companion Conversational voice AI combining streaming speech, low-latency orchestration, and reflective long-term memory. Features speculative generation and distilled classification to achieve sub-60ms intent routing and ultra-low latency playback, backed by a Weaviate hybrid-retrieval memory consolidation engine.
Phalanx — Real-Time Fraud Orchestration & MLOps Engine
High-throughput microservice ecosystem (FastAPI + gRPC) achieving 66ms transaction SLA and sub-millisecond ML inference. Includes self-healing retraining pipelines, ONNX-optimized XGBoost, agentic AI (Gemma), and AWS Cognito RBAC.
Engram — High-Performance RAG & Document Intelligence
Production-ready Retrieval-Augmented Generation platform with pgvector HNSW indexing, Celery + Redis async pipelines, SHA-256 deduplication, and hardware-accelerated inference (RTX 4060). Features JWT multi-tenancy and zero data-loss guarantees.
-
Sandhi AI (Distributed Task Queue & System Reliability)
Took ownership of a major production reliability epic. Delivered 600+ lines of improvements including queue isolation, atomic admission control, circuit breakers, Celery migration, fault-tolerant retries, and overload protection. -
InclusionAI – AReal (Distributed AI Inference System)
Refactored RTensor storage endpoints with Pydantic models, migrated legacy Flask blueprints to FastAPI, and introduced reusable schema architecture + enhanced validation. -
WebTech Network – Autograder System
Eliminated import-time side effects in Redis driver and introduced constructor-based dependency injection with FastAPI lifespan events.
- GitHub: github.com/koladefaj
- LinkedIn: linkedin.com/in/kolade-fajimi
- Email fajimikolade@gmail.com
- X / Twitter: @akoladefaj
- Resume: Available on request
Always open to interesting conversations about distributed systems, AI infrastructure, or backend architecture.
Let’s build something great together! 🚀