Pre-screened and vetted.
Mid-level AI/ML Engineer specializing in LLMs, NLP, and AWS MLOps
“Recent master’s graduate in robotics with applied experience across reinforcement learning and ROS 2 autonomy stacks. Built an RL-based drone vertiport traffic controller (PPO) focused on reward design and simulation integration, and has hands-on navigation work in ROS 2 including LiDAR preprocessing, SLAM/path planning, and stabilizing TurtleBot3 wall-following. Also brings deployment experience containerizing robotics nodes and scaling them with Kubernetes on AWS.”
“Built and operated end-to-end legal-document data pipelines fed by hundreds of scraper sources, emphasizing data quality validation, reliability (CloudWatch monitoring/alerting, retries, backfills), and serving enriched legal data via serverless AWS APIs (Lambda/API Gateway). Experienced in keeping API contracts stable with additive versioning practices and shipping MVPs quickly with CI/CD and observability in place.”
Mid-level Data Engineer specializing in cloud data pipelines and analytics engineering
“Built and deployed a production LLM-powered demand and churn forecasting system for an e-commerce client, combining open-source LLMs (LLaMA/Mistral) and Sentence-BERT embeddings to generate business-friendly explanations of forecast drivers. Strong focus on data quality and model trust (validation, baselines, segmented monitoring) and production reliability via Airflow-orchestrated pipelines with readiness checks, retries, and ongoing drift/A-B testing.”
Mid-Level Full-Stack Software Developer specializing in Java/Spring microservices and cloud
“Backend engineer who owned and shipped a campaign analytics API (FastAPI/Postgres/Redis/Celery) with ingestion from Instagram/YouTube, JWT auth, tests, and Docker deployment; improved performance from >1s to <150ms using precomputed aggregates and composite indexes. Experienced with Kubernetes GitOps using GitHub Actions + ArgoCD (zero-downtime rollouts, one-click rollbacks), Prometheus/Grafana observability, hybrid cloud-to-on-prem migrations, and real-time notification streaming via Redis Pub/Sub + WebSockets.”
Mid-Level Software Engineer specializing in Java microservices and cloud-native AWS development
Mid-level Full-Stack Java Developer specializing in cloud-native microservices and React
Mid-level Software Engineer specializing in cloud, DevOps, and distributed systems
Mid-level Software Engineer specializing in backend systems and FinTech microservices
Senior Full-Stack Software Engineer specializing in web apps, integrations, and data pipelines
Mid-level QA & Data Processing Engineer specializing in sports motion capture and gaming platforms
Mid-Level Software Engineer specializing in full-stack and AI/LLM evaluation
Mid-level AI/ML Engineer specializing in cloud-native data pipelines and RAG systems
Mid-level Full Stack .NET Developer specializing in cloud-native enterprise applications
Mid-level Backend Software Engineer specializing in cloud microservices and distributed systems
Senior Cloud DevOps/SRE Engineer specializing in Azure and Kubernetes
Principal Full-Stack Engineer specializing in cloud SaaS, logistics, and AI-enabled systems
Mid-level Software Engineer specializing in backend, full-stack, and network automation
Senior Implementation Consultant specializing in government SaaS integrations
Mid-level Software Engineer specializing in backend systems, APIs, and cloud microservices
Mid-level Machine Learning Engineer specializing in healthcare and financial AI