I'm Leah R. Tucker
I design the adoption path and write the playbooks that help developers ship production GenAI on Kubernetes.
About Me
Tech puzzles? They're my kind of fun.
I pick up new systems fast, build the missing pieces end-to-end, and leave documentation that doesn’t punish the next person.
I started in college by reading other people’s HTML source. Still haven’t stopped.
I’ve done this at Stripe, AWS, Sabre, and Avis—then built Blinkt AI, a production RAG system, because I kept seeing the same prototype failures repeat in the wild.
Things end up simpler afterward. That’s the quiet part I chase every time.
Tech Stack
AI & Reasoning Engines
- Core Architecture: Neuro-Symbolic Agents, Temporal Orchestration, Distributed Inference
- Reasoning: Causal Graph Extraction (NetworkX), Dynamic Mixture-of-Experts (MoE), Recursive RAG
- Models: Custom Fine-Tuned Encoders (MiniLM/BERT), Quantized LLMs (vLLM/Onnx), GPT-4o
- Vector Search: Hybrid Search (Sparse/Dense), Pinecone (GRPC), Semantic Clustering
Backend & Microservices
- Model Serving: BentoML, TorchServe, Containerized Inference, GPU Resource Mgmt
- Orchestration: Temporal (Durable Execution), Async Task Queues, Retry/Backoff Policies
- Real-Time Layer: FastAPI, WebSockets (Bi-directional), Server-Sent Events (SSE)
- Data Infrastructure: AsyncPG, Redis Caching, Object Storage (S3), Vector Indexing
MLOps & Infrastructure
- Pipeline: Adaptive Training Loops, Synthetic Data Generation
- Cloud: Amazon EKS (Kubernetes), AWS (S3 Payload Offloading), Serverless Identity
- Observability: Distributed Tracing (Otel), Model Registry (HF)
- Economics: Usage-Based Billing (Stripe), API Monetization
Professional Highlights
Stripe
Mapped the onboarding choke points across seven SDK languages → shipped Quickstarts + reference apps that made first success predictable → helped drive +25% Stripe Checkout activation.
AWS
Turned EKS AI/ML adoption into a “golden path” → led the strategy and shipped the canonical best-practices guide → 8K+ views in 30 days, 92% satisfaction.
Sabre
Made a 2,500-API ecosystem navigable → owned the developer portal experience and publishing workflow so teams could self-serve instead of waiting on governance.
Avis Budget Group (ABG)
Standardized API design through reusable data models + a real API design guide → gave teams a shared language that cut deployment time 75%.