Pre-screened and vetted.
Intern Data Scientist / Software Engineer specializing in ML, computer vision, and cloud
Mid-level Software Engineer specializing in cloud-native microservices and real-time data pipelines
Intern Software Engineer specializing in cloud data platforms and full-stack systems
Junior Software Engineer specializing in full-stack development and data engineering
Intern-level Software Engineer specializing in backend systems and applied AI
Mid-Level Software Engineer specializing in cloud-native backend and LLM/RAG systems
Intern Software Engineer specializing in cloud infrastructure and distributed systems
Junior Software Engineer specializing in full-stack web and Android development
Intern AI/ML Engineer specializing in data science, NLP, and reinforcement learning
Mid-level Site Reliability Engineer specializing in Kubernetes observability and cloud infrastructure
Intern AI/Data Science Engineer specializing in LLM agents, data engineering, and predictive analytics
Mid-level Software Engineer specializing in distributed systems and applied ML
Mid-level Full-Stack Software Engineer specializing in FinTech and cloud-native systems
Junior Software Engineer specializing in LLMs, RAG, and Knowledge Graphs
Junior Full-Stack/Cloud Engineer specializing in AI and data-driven applications
Mid-level Machine Learning Engineer specializing in LLMs, multimodal AI, and backend systems
Intern Computer Vision/Perception Engineer specializing in LiDAR and autonomous systems
“Robotics/AV-focused engineer who built an end-to-end gesture controller for a GEM e2 autonomous vehicle using YOLOv8 pose and ROS, including model training, ROS perception nodes, and a safety-oriented state machine (stop override + hold-to-register). Also has internship experience at Intramotev integrating LiDAR object detection via Redis pub/sub and performing sensor-frame calibration (roll/pitch correction using ground-plane normals), plus Dockerized deployments and Gazebo-based testing.”
Mid-level Backend Software Engineer specializing in AWS cloud and FinTech platforms
“JP Morgan engineer and Texas A&M student web developer who has owned production systems end-to-end, including a real-time ML training workflow that improved internal search relevance by 30%. Experienced with AWS cloud migrations and operating containerized services on ECS with CloudWatch+ELK observability, Terraform infra, and Spinnaker CI/CD; also built event-driven pipelines with RabbitMQ and Elasticsearch at 1M+ record scale.”
Junior Full-Stack Software Engineer specializing in cloud-native microservices
“Backend engineer with hands-on IoT and AI product work: built a decoupled Raspberry Pi + AWS IoT Core weather monitoring backend and a Dockerized FastAPI LLM service on AWS ECS using OpenAI/HuggingFace with an emerging RAG layer. Also delivered measurable performance gains at DAZN by redesigning event-driven/serverless ingestion (SNS, S3->Lambda->DynamoDB), cutting latency ~30% and boosting throughput ~25% while automating ~90% of manual sync work.”