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Vetted Git Professionals
Pre-screened and vetted.
Shawn Williams
Mid-Level Backend Engineer specializing in AWS serverless and data processing
“Amazon Prime Video backend engineer who built and operated high-traffic Python/FastAPI services and AWS-native data/batch systems. Demonstrates strong production reliability and incident ownership (CloudWatch/X-Ray), plus measurable performance wins (8s to <200ms query latency, ~40% CPU reduction) and cost-focused architectures (Lambda + ECS/Fargate with Fargate Spot).”
keyur borad
Mid-level Robotics Engineer specializing in autonomous mobile robots and computer vision
“Robotics software engineer with extensive ROS2 academic project experience (UMDCP), including a drone-based 3D object reconstruction system using Mast3r where they built ROS2 nodes for autonomous image capture, containerized the ROS2/OpenCV stack for hardware deployment, and automated AWS uploads/compute-triggered reconstruction. Demonstrated strong sim-to-real debugging using ROS bags and PlotJuggler to correct yaw/trajectory offsets, and built multi-node TurtleBot navigation using visual cues (horizon/stop signal/obstacle detection) feeding a cmd_vel controller.”
“Data science/NLP practitioner with experience at NVIDIA and Microsoft building production-grade NLP and data-linking systems. Has delivered high-performing pipelines (e.g., F1 0.92) and large-scale entity resolution (F1 0.89), plus semantic search using embeddings and Pinecone with ~30–40% relevance gains, backed by rigorous validation (A/B tests, ROUGE, MRR) and strong MLOps/workflow tooling (Airflow, Databricks, FastAPI, MLflow, Prometheus/ELK).”
Aesha Choksi
Director-level Engineering Leader specializing in Cloud Security and Data Platforms
“Engineering leader in cloud security at SysTech with player-coach experience spanning cross-team data/ownership standardization and reporting platform user-journey improvements. Stays technically deep through observability (SLA/SLOs, dashboards, alerting), rigorous code reviews (including AI-assisted coding), and end-to-end incident ownership in IAM/agentless cloud event collection. Targeting $270K–$300K base plus bonus/equity.”
Mid-Level Software Engineer specializing in Android and experimentation
Senior DevOps Engineer specializing in Azure/AWS cloud infrastructure and CI/CD
Mid-level Software Engineer specializing in robotics, AI, and full-stack systems
Intern Software Engineer specializing in full-stack development and machine learning
Junior Software Engineer specializing in distributed systems, cloud, and data infrastructure
Senior Software Engineer specializing in distributed systems, AI/ML platforms, and cloud-native SaaS
Senior Applied Scientist specializing in LLMs, GenAI, and agentic systems
Senior AI & Data Engineer specializing in LLM agents, RAG, and data platforms
Mid-level Software Development Engineer specializing in AWS cloud and full-stack systems
Intern Software Engineer specializing in distributed systems and cloud infrastructure
Junior Robotics Engineer specializing in semantic navigation and computer vision
Mid-level AI/ML Engineer specializing in LLMs, RAG pipelines, and MLOps
Mid-level Machine Learning Engineer specializing in real-time fraud detection and edge AI
Intern Full-Stack Software Engineer specializing in LLM-integrated web apps and microservices
Senior Accessibility Automation Engineer specializing in AR/VR and mobile test automation
Executive Technology Leader (CTO/Principal Engineer) specializing in cloud-native platforms and AI