Vetted GitLab Professionals

“Frontend engineer experienced delivering React + TypeScript dashboards end-to-end, including real-time updates via WebSockets and scalable component architecture. Has improved inherited codebases by building shared component libraries and performance optimizations (lazy loading/memoization), reporting ~20% faster feature delivery, and ships major features with QA rigor and feature-flagged rollouts driven by analytics and user feedback.”

“Backend Python engineer who built core services for a telecom automation engine monitoring thousands of routers in real time and auto-generating support tickets. As the sole Intelygenz engineer on the project, they diagnosed a costly Terraform/GitLab CI/CD resource-leak issue in AWS and implemented a cleanup redesign that eliminated orphaned resources and reduced client cloud spend. Also shipped applied-AI ticket triage suggestions via API integration and built an end-to-end Gmail-to-ticket ingestion workflow.”

“Robotics software engineer with deep ROS2 experience who built a modular autonomous robotics stack (perception/sensor fusion, localization+mapping, and planning). Led development of a LiDAR+camera fusion and multi-object tracking pipeline (PCL + YOLO + Kalman filtering) and debugged real-time SLAM/localization issues via QoS/timestamp synchronization, EKF tuning, and SLAM Toolbox parameter optimization using Gazebo/RViz and rosbag replay.”

“Frontend engineer with co-op experience at Nokia and prior work at Nimble, delivering React/TypeScript single-page onboarding flows and internal web apps. Builds from Figma to production React, emphasizes modular architecture and consistent UI via Material UI, and applies Jest-based unit/integration testing plus lazy loading to improve reliability and performance in both new and existing codebases.”

“ML engineer/data scientist who built and deployed a real-time fraud detection platform at Citi on AWS SageMaker, processing 3M+ daily transactions and improving fraud response by 28%. Combines unsupervised anomaly detection (autoencoders) with ensemble models (XGBoost/Random Forest) plus Airflow/Step Functions orchestration, drift monitoring, and explainability (SHAP) to keep models reliable and compliant in production.”

“Full-stack engineer in the healthcare domain (Humana) who owned an end-to-end member portal for benefits/claims/appointments, built with React and Spring Boot microservices on AWS. Notably migrated legacy batch data flows to a Kafka streaming pipeline and tuned consumers/partitions/backpressure to improve real-time consistency and achieve ~12% processing performance gains.”

“Master’s-program backend engineer with strong Java/Spring Boot industry experience who also owned a Python analytics service (Flask/Postgres, JWT, Celery/Redis) and optimized large-dataset performance via SQL/batching. Has hands-on Kubernetes microservices deployment and GitLab+Terraform CI/CD/GitOps workflows, plus experience supporting phased on-prem to AWS migrations and building Kafka-based real-time streaming pipelines.”

“Robotics-focused full-stack engineer with hands-on ROS experience building sensor-processing and control nodes, plus a track record of debugging and optimizing real-time robot responsiveness via profiling and message-timing analysis. Uses Webots for pre-hardware validation and Docker/CI/CD to standardize deployments and catch issues early.”

“Backend/ML platform engineer who owns end-to-end delivery of ML-serving APIs (FastAPI + TensorFlow) and runs them reliably on Kubernetes using ArgoCD GitOps. Has hands-on experience solving production-only issues (probe tuning for model warm-up, resource profiling) and building scalable Kafka streaming pipelines, plus supporting phased on-prem to AWS migrations with dependency discovery and recreation of hidden jobs/workflows.”

Ajay Rajakumar

Screened

Mid-level Full-Stack Developer specializing in Angular, Java, and MERN

Chennai, India4y exp

“Full-stack developer with 4 years of experience and an MS in Computer Science who led frontend delivery for a large airline platform (booking, check-in, and payment flows) using Angular/TypeScript with a Java backend. Emphasizes quality at scale via SonarQube monitoring, E2E/regression testing, and iterative Agile collaboration with clients using Figma.”

Kent Park

Screened

Senior Full-Stack Software Engineer specializing in cloud, identity, and security platforms

Toronto, Canada12y exp

“Frontend engineer (Cyderes) specializing in security analytics/SOC dashboards, building complex multi-tenant React + TypeScript interfaces for near real-time authentication and MFA monitoring. Known for scaling quality via strict TS, shared contracts, CI-enforced multi-level testing, and performance optimization, plus pragmatic incremental refactors and gated rollouts that protect active customer workflows.”

Bilal Ahmed

Screened

Senior Linux Systems Engineer specializing in hybrid cloud and DevOps automation

7y exp

“Cloud/infrastructure engineer from ASM Research supporting federal healthcare systems, operating multi-cloud (AWS/Azure/GCP) environments at ~2000-server scale. Deep hands-on experience with Terraform/Ansible IaC, PR-based governance (Atlantis), and secure CI/CD (OIDC/least privilege), with concrete incident response wins and HA/failover testing improvements. Not an IBM Power/AIX specialist but comfortable translating virtualization/partitioning and ops practices to new platforms.”

Phanideep P

Screened

Senior Data Engineer specializing in cloud lakehouse and streaming data platforms

5y exp

“Data platform/data engineer with cross-industry experience in banking and healthcare, building cloud-native lakehouse architectures across AWS/Azure/GCP. Has owned high-volume (millions of records; TB/day) pipelines with strong data quality automation (dbt/Great Expectations), observability (Grafana/Prometheus), and real-time streaming (Kafka/Spark) for fraud monitoring; also delivered an early-stage migration from SQL Server to BigQuery with 40% batch latency reduction.”

Kush Shah

Screened

Junior Full-Stack Software Engineer specializing in web apps and automation

Remote, USA3y exp

“Backend engineer with hands-on experience building an AI-powered document processing pipeline for insurance workflows from design through deployment and production support. They combine LLM-based extraction with rule-based validation, retries, and observability, showing a pragmatic approach to making AI systems reliable in high-stakes environments.”