TT

Open to opportunities

Timothy Todd

@timothytodd

Gen AI Architect and ML Engineer specializing in agentic systems, RAG, and multi-LLM integration.

What I'm looking for

I seek senior roles building production GenAI systems where I can architect scalable, safe agentic AI, mentor teams, and drive end-to-end ML infrastructure adoption.

I am a Gen AI Architect and ML Engineer with 12+ years designing and deploying large-scale AI/ML systems, specializing in agentic architectures, RAG pipelines, and multi-LLM integration.

I have hands-on expertise with Google Vertex AI, LangChain, LlamaIndex, open-source LLMs, and production ML pipelines—building inference services, multi-agent orchestration, CI/CD for ML, and scalable training on hybrid clouds.

I focus on AI safety, observability, and cost optimization, mentoring teams and partnering with cross-functional stakeholders to turn research prototypes into compliant, production-grade GenAI solutions.

Experience

Work history, roles, and key accomplishments

IT

GenAI Architect

iOPEX Technologies

Aug 2023 - Sep 2025 (2 years 1 month)

Architected end-to-end agentic AI systems and RAG pipelines integrating Vertex AI and vector DBs, reducing training costs 25% and delivering <60ms inference endpoints; led productionization, observability, and governance for enterprise GenAI solutions.

Vertex AI LlamaIndex RAG Kubernetes fastAPI Prometheus Pinecone Model Fine Tuning

ES

Full Stack Developer

Jan 2018 - Jun 2023 (5 years 5 months)

Designed and deployed conversational AI and RAG architectures on GCP (Dataflow, BigQuery, Vertex AI), reduced model deployment time by 40% via IaC/CI-CD templates, and implemented ML observability and drift detection for production LLMs.

Vertex AI BigQuery Dataflow Faiss CI CD Gitlab Distributed Training

RT

Full Stack Developer

Rackspace Technology

Aug 2013 - Nov 2017 (4 years 3 months)

Built ML and ETL pipelines with Spark and Airflow, migrated early ML workloads to GCP, and implemented CI/CD and containerized deployment patterns to support production ML services and monitoring.

Spark Airflow TensorFlow Docker Kubernetes Jenkins ETL Model Monitoring Elasticsearch

Education

Degrees, certifications, and relevant coursework

DU

Dallas Baptist University

Bachelor of Science, Computer Science

2009 - 2013

Grade: GPA: 3.8/4.0

Bachelor of Science in Computer Science completed with honors, focusing on core computer science principles and software development.

Availability

Open to opportunities

Location

United States

Authorized to work in

Job categories

AI Architect ML Engineer Machine Learning Engineer AI Architect MLOps Engineer Full Stack Developer Data Engineer ML Infrastructure Engineer Research Engineer Chief AI Architect GenAI Consultant AI Solutions Architect Generative AI Engineer

Skills

Crew AI Python Golang Java JavaScript TypeScript SQL Shell BASH C++PyTorch TensorFlow Keras Pytorch Lightning scikit learn XGBoost LightGBM CatBoost H2O Model Quantization Pruning Distillation MLFlow Weights Biases Optuna TorchServe BentoML KServe Triton Inference Server Lang Chain LlamaIndex Haystack Transformers AutoGen Prompt Engineering RAG Graph RAG Function Calling LangGraph Faiss Pinecone Weaviate ChromaDB Qdrant Milvus Redis Neo4j TigerGraph ArangoDB OpenCV Vision Transformer Docker Kubernetes Helm Kubeflow Ray Airflow ArgoCD Terraform Pulumi Jenkins GitHub Actions Prometheus Grafana AWS Sagemaker Vertex AI BigQuery GKE Snowflake Spark Databricks Kafka React Next.js REST GraphQL A B Testing SHAP LIME Agentic Ant Design Apache Spark Azure Bot Service Cassandra Chart.Js CircleCi D3.Js Dask Datadog Delta Lake ECharts EasyOCR Elasticsearch fastAPI Gemini GitHub Gitlab Gmail GROQ GuardRails Guardrails AI Hadoop Hugging Face LMDeploy Loki Material UI Mojo MongoDB MySQL Ollama OpenTelemetry PostgreSQL Salesforce Scale AI ServiceNow Together.Ai TruLens Vue.Js VLLM

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Timothy Todd - GenAI Architect - iOPEX Technologies | Himalayas