Pre-screened and vetted.
Director of Engineering specializing in capital markets risk, trading systems, and AI/ML platforms
Senior Accessibility Automation Engineer specializing in AR/VR and mobile test automation
Mid-Level Software Engineer specializing in FinTech payments and risk platforms
Mid-Level Systems Software Engineer specializing in distributed databases and data infrastructure
Mid-level Backend Software Engineer specializing in FinTech payments, risk, and real-time systems
Senior QA Engineer specializing in AR/VR, 3D pipelines, and performance testing
Senior Full-Stack Engineer specializing in cloud-native SaaS and AI/ML integration
Senior AI/ML Engineer specializing in Generative AI and LLM applications
Senior Software Engineer specializing in distributed systems, ML infrastructure, and search
Senior Full-Stack Python Developer specializing in cloud, data platforms, and GenAI
Senior Software Engineer specializing in cloud, data platforms, and LLM/RAG applications
Intern Software Engineer specializing in cloud, full-stack, and distributed systems
“Interned at SLB and owned an end-to-end GenAI chatbot deployment for a finance team, including invoice PDF data extraction and an LLM-driven layer (LangGraph/LangChain) that translated natural language to SQL and returned results in natural language. Validated LLM JSON outputs against benchmarks using DeepDiff and deployed the solution via Docker to Kubernetes, managing pods with k9s.”
Senior Data Engineer specializing in cloud big data pipelines and real-time streaming
“Amazon data engineer who built a real-time fraud detection pipeline for AWS Lambda, tackling multi-region telemetry quality issues and scaling stream processing for billions of daily requests. Strong in production-grade data/ML workflows on AWS (EMR, Glue, Kinesis, SageMaker) with hands-on entity resolution and anomaly detection.”
Entry-level Aerospace/ADCS Researcher specializing in spacecraft controls and simulation
“Robotics/control-focused candidate with hands-on ROS2 + Gazebo experience implementing MPC with online state identification on a Crazyflie drone, including camera-based position determination fixes. Also worked on multi-agent spacecraft formation control and constellation optimization, debugging numerical drift and redesigning leader-follower control laws to handle delayed/outdated updates; uses Docker to ensure reproducible simulation results across machines.”
Junior AI Software Engineer specializing in LLM pipelines, OCR, and RAG
“Built and shipped a production LLM pipeline for nursing home Medicare reimbursement (PDF OCR + fact extraction + keyword RAG + QA) that reportedly increased payouts by ~$1K/month per patient. Strong in LLM ops/benchmarking (ground truth, LLM-as-judge, cost/I-O tracking) and pragmatic optimization—swapped retrieval approaches, fine-tuned a small model to cut OCR cost 90%, and migrated workloads to Azure/Temporal to scale nightly processing 10x.”