Ömer Faruk Koç
Building production AI/ML platforms, agentic systems, retrieval infrastructure and reliable data systems.
3+ years building and operating production ML, data and GenAI systems, with current work focused on agent reliability, evaluation, observability and platform control.
Request lifecycle · open a stage
Trace + Metrics
Public engineering projects built around control boundaries, reliability, evaluation, observability and explicit trade-offs.
AI Infrastructure / Platform Engineering
A self-hosted Kubernetes ML platform for scheduled scoring, versioned datasets, model monitoring and governed serving, backed by a PostgreSQL control plane and a separate Go inference gateway.
Scheduled scoring and quality monitoring
1M ROWS
Real NYC TLC data · local acceptance · 8 Oct 2026
One million February 2025 taxi trips scored through a scheduled Argo pipeline and matched to ground truth with 100% coverage.
AI Reliability / Execution Infrastructure
Customer-service agent platform where the LLM proposes refunds, cancellations, lookups, tickets and escalations while deterministic software owns scope, policy, confirmation, revalidation, idempotency and execution.
Execution authority
SERVER-OWNED
LLM proposal → deterministic execution
Authentication, scope, policy, confirmation, revalidation, idempotency and business execution stay outside the model. The exercised D2c slice recorded 0 unauthorized mutations and 0 unsafe executions.
Agent Systems / AI Platform
Evidence-driven Kubernetes incident investigation: an in-cluster read-only Connector, deterministic causal engine, replayable evidence and an interactive operator console.
Held-out testbed
Cause named in 27/27 runs
HOLDOUT23 · engine 2.17.0 · 0 model calls
Nine fault variants, three fresh seeds each: 27/27 valid runs, the true cause and instance named in every run, zero false RESOLVED, zero false strong authority and the decoy never named.
Generative AI / RAG Platform
Agentic document research workspace: PydanticAI agents on an application-owned typed research graph search authorized sources, read original PDF pages, extract values and calculate in code, then release answers with citations you can open.
Agentic question coverage
101/120 accepted outcomes
120 distinct long-document questions
81 source-correct answers, 2 qualified calculations and 18 correct refusals, each question counted once and checked against the original PDF.
MLOps / AI Platform
Policy-driven ML release control plane combining progressive canary delivery, delayed-ground-truth quality gates, automated promotion and rollback, and desired-vs-observed routing reconciliation.
Routing control loop
DESIRED ↔ OBSERVED
Durable database state → router reconciliation
The database owns desired traffic; the router is restart-losable observed state. A worker-triggered reconcile tick repairs drift after a restart or failed push.
Structured Data / Governed Text-to-SQL
Governed one-shot Text-to-SQL for enterprise analytics: the model emits one typed decision, deterministic software owns SQL admission and read-only execution, and correctness is measured by execution against counterfactual database states.
Execution authority
SERVER-OWNED
Model proposes SQL · deterministic admission decides
An ANSWER + SQL submission crosses parse, global policy, request-scoped relation authority, grain safety, EXPLAIN and a cost gate, and only an accepted immutable QueryPlan reaches the restricted read-only executor. There is no raw unsafe fallback, and the executor never runs SQL the safety service did not admit.
Distributed Systems / Streaming
Production-oriented event-driven commerce platform where Kafka may redeliver, but layered idempotency, transactional persistence and bounded failure handling protect durable business effects.
Sustainable isolated capacity
Workload-dependent
~1,050 evt/s at 42.8% fraud-eligible · ~1,600 at 0%
The processor has no single workload-independent ceiling, because fraud-eligible events take a longer path. The ~750 to ~1,050 evt/s (+40%) optimisation was measured on the 42.8% workload. Measured on an isolated local benchmark.
Capabilities are grouped by engineering evidence—not percentages or keyword counts.
Model lifecycle, progressive delivery, delayed quality feedback, policy-driven release control and observable production operations.
Retrieval, reranking, citation integrity, evaluation and private open-source model serving.
Event processing with explicit delivery guarantees, failure handling and measured service limits.
Batch and near-real-time pipelines, transformation systems, quality controls and data lineage.
Stateful agent workflows with deterministic control boundaries, confirmation and recovery, secure tool interfaces, evaluation and observability.
Fibabanka · Analytics Center of Excellence
Built and operated production ML, data and Generative AI platform capabilities across analytics workloads.
Professional experience informs the engineering questions explored in public projects; the public repositories are independent work.
Short technical pieces on reliability, evaluation, retrieval, distributed systems and production AI.
Making agentic development verifiable rather than merely autonomous: external gates decide whether work is acceptable, and hashed baselines stop the agent from redefining what acceptable means.
A practical execution model for tool-using agents built from typed proposals, deterministic policy, durable confirmation, revalidation, idempotency, and audit.
A cross-lingual reranker moved Recall@5 from 0.9563 to 1.0000. The aggregate is the least interesting number in that sentence, and the latency figure means less than it looks like.
411 source-grounded nodes and 545 validated relationships across experience, projects, technologies, concepts, evidence and current learning directions.
Open to remote opportunities · UTC+3 / Istanbul
Available for new opportunities
