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Teoman Turan

@teomanturan

Software engineer at Assistwell LLC who improved qualified activation by 27% with automated onboarding funnels.

At Assistwell LLC, I designed human-data workflows for AI programs, from participant onboarding and verification to task routing and quality controls. I built automated onboarding funnels with HubSpot, Zapier, and APIs that increased qualified activation by 27%.

At Synvero, I reduced a 15-step training process to a one-click Apache Airflow workflow, cutting operational effort by approximately 80%. I also contributed to a Bloomberg Search AI research platform and introduced grounded generation and retrieval controls that reduced LLM hallucinations by approximately 45%.

Experience

Work history, roles, and key accomplishments

Senior Full Stack Engineer

Assistwell LLC

Dec 2024 - Mar 2026 (1 year 3 months)

Architected multi-tenant human-data operations services in Java, Python, Go, TypeScript, C# and C++17, defining composable onboarding, verification, task-routing, quality, communication, and fault-management workflows for AI programs. Designed and developed scalable backend applications using Java, Spring Boot, and Spring Framework.

Java Python Go TypeScript C#C++17 Spring Boot Spring Framework PostgreSQL SQL Server Kafka HubSpot Zapier REST APIs Docker Kubernetes Helm GitHub Actions CI CD OpenTelemetry Prometheus Grafana React Angular Vue.Js Next.js

Lead Software Engineer

Synvero

Sep 2023 - Feb 2025 (1 year 5 months)

Reduced a complex 15-step manual training process to a one-click Apache Airflow workflow, cutting operational effort by approximately 80%. Reduced LLM hallucinations by approximately 45% by introducing grounded generation, retrieval quality controls, citation validation, and evaluation frameworks.

Airflow Python SQL C++Azure OpenAI LangGraph MCP RBAC Audit Logging Prometheus Grafana OpenTelemetry CI CD Evaluation Pipelines Retrieval Embeddings Reranking Citation Validation

Software Engineer

Nodavia sp. z o.o.

Sep 2022 - Sep 2023 (1 year)

Developed Java, Python, FastAPI, and C++17 services automating traceable risk-review cases, combining governed LLM workflows, PostgreSQL, SQL Server, role-based access, and evidence-backed reviewer decisions. Designed qualification workflows that verified reviewer expertise through profile evidence, scenario assessments, calibration tasks, and approval queues.

Java Python fastAPI C++17 PostgreSQL SQL Server RAG Pgvector OCR PDF CSV JSON Docker Kubernetes Helm GitHub Actions CI CD OpenTelemetry Prometheus Grafana

Junior Software Developer

Actum Krzysztof Ploch

Nov 2018 - Aug 2021 (2 years 9 months)

Developed Python, Node.js, and C++ services supporting retail operations, applying typed contracts, idempotency keys, bounded retries, reconciliation controls, and structured exceptions across inventory and transaction workflows. Implemented reusable C++17 modules for configuration loading, state transitions, message validation, and error propagation.