Senior Teamcenter Engineer with 15+ Years PLM Expertise

Rahul Dewan

Senior Teamcenter Engineer

**********.***@*******.*** 505-***-**** Houston, TX

PROFILE

• Senior Teamcenter Engineer with 15+ years in enterprise software and PLM system development.

• Built and customized Teamcenter solutions using ITK, RAC, SOA, BMIDE, and Active Workspace.

• Integrated Teamcenter with ERP and CAD systems, focusing on workflows, ACLs, and data model enhancements.

• Led code reviews, troubleshooting, and mentoring for Teamcenter upgrades and migrations. PROFESSIONAL EXPERIENCE

Senior Teamcenter Engineer — Nike 01/2018 — Present

• Led Teamcenter development and support activities for enterprise-scale deployments.

• Developed and customized Teamcenter modules using ITK, RAC, SOA, BMIDE, and Active Workspace.

• Designed and implemented workflows, ACLs, and data model enhancements for business-critical processes.

• Integrated Teamcenter with ERP and CAD systems using Java, C++, XML, and SQL.

• Built Java 17–21 Spring Boot 3.x microservices supporting checkout, cart, loyalty, and order workflows.

• Developed Python 3.9–3.11 FastAPI services for personalization, ranking, and ML inference.

• Designed REST and GraphQL APIs consumed by React and Angular frontends, reducing page latency by 34%.

• Implemented selective Next.js (SSR) for SEO-critical flows.

• Reduced checkout p95 latency from 760ms ’ 330ms; maintained 99.98% reliability.

• Deployed ML services using FastAPI + TorchServe (PyTorch 2.x); reduced cold-start latency by 40%.

• Implemented Kafka 3.x event pipelines for loyalty and behavioral streaming (millions of daily events).

• Delivered LLM-powered support platform using LangChain + FAISS (RAG architecture) resolving 30% more issues automatically.

• Optimized JVM GC, async execution, Redis caching; backend success rate improved from 92% ’ 98%+.

• Automated CI/CD with GitHub Actions, Terraform, Docker, Kubernetes (EKS).

• Implemented OAuth2, OpenID Connect, JWT, PCI-compliant security controls.

• Performed code reviews, troubleshooting, and mentored engineers in Teamcenter and backend stacks.

Senior Java FullStack/ML Platform Engineer — Constellation Energy 01/2015 — 12/2017

• Migrated monolithic Java EE systems to Spring Boot 2.x microservices on Azure AKS and AWS ECS.

• Built Java 11 ingestion services processing smart-meter and telemetry data.

• Developed Python ML scoring APIs (TensorFlow 2.x, XGBoost) for load forecasting and demand optimization.

• Implemented Kafka 2.x pipelines for real-time energy market ingestion (ERCOT, PJM).

• Built backend APIs supporting Angular dashboards and mobile technician applications.

• Automated ETL and retraining pipelines with Apache Airflow using Redshift and BigQuery.

• Added Prometheus/Grafana monitoring and ML drift detection.

• Implemented OAuth2, JWT, LDAP, and RBAC security controls.

• Optimized Flink windowing logic improving aggregation accuracy and reducing duplicate events. Java Backend Engineer / Python ML Services Developer — Optum 09/2010 — 12/2014

• Developed Java 8 Spring Boot (1.x) services for healthcare claims and FHIR-compliant APIs.

• Built Python ML services (XGBoost, Scikit-learn) for chronic disease risk prediction.

• Integrated Kafka streaming and HL7 lab feeds for near real-time clinical alerts.

• Secured APIs using Spring Security, OAuth2, and JWT in HIPAA-regulated environments.

• Deployed services on AWS ECS with CloudWatch logging and monitoring.

• Automated CI/CD using Jenkins and Git workflows.

• Implemented encryption, audit logging, and access controls for compliance. EDUCATION

B.S. Computer Engineering — Georgia Institute of Technology 2007 — 2010

SKILLS

Core Languages

Java (8–21), C++, Python (3.8–3.11), SQL, XML, Bash PLM & Teamcenter Development

Teamcenter customization, ITK, RAC, SOA, BMIDE, Active Workspace, workflows, ACLs, integra- tions, upgrades, migrations

Distributed Systems & Streaming

Apache Kafka (2.x–3.x), Kafka Streams, Redis Streams, RabbitMQ, Apache Flink, Apache Spark AI / ML Engineering

PyTorch, TensorFlow, XGBoost, Scikit-learn, MLflow, LangChain, FAISS, RAG pipelines, model drift detection, LLM evaluation

Observability & Reliability

Prometheus, Grafana, ELK Stack, Datadog, CloudWatch, Azure Monitor Databases & Data Platforms

PostgreSQL, MySQL, MongoDB, Redis, Oracle, Snowflake, Redshift, BigQuery, DynamoDB Security & Compliance

OAuth 2.0, OpenID Connect, JWT, LDAP, RBAC, HIPAA, PCI-DSS, encryption standards Additional Languages & Tooling

Go (Gin-based APIs, internal services), Rust (systems utilities, async workers), AI-assisted devel- opment (LLM copilots, prompt-driven refactoring, test generation)

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