Pre-screened and vetted in Illinois.
Senior Full-Stack Software Engineer specializing in distributed systems and FinTech
Mid-level Machine Learning Engineer specializing in computer vision and reinforcement learning
“Early-stage engineer with hands-on embedded prototyping experience (Arduino/Raspberry Pi) who helped build an award-winning smart glasses project enabling phone notifications via Bluetooth. Strong computer vision performance optimization background, including accelerating 120 FPS inference by moving from TensorFlow to PyTorch and deploying through ONNX + TensorRT quantization, plus Docker-based GPU deployment and CI/ML practices.”
Mid-level Full-Stack Software Engineer specializing in Java/Spring microservices and cloud
Junior AI/Software Engineer specializing in NLP, LLMs, and automated testing
Senior Library & Information Professional specializing in data analysis and database development
Mid-level AI/ML Engineer specializing in computer vision and generative AI
Junior Machine Learning Engineer specializing in scalable ML systems and LLMs
Mid-Level Full-Stack Software Engineer specializing in Java microservices and cloud-native delivery
“Built and shipped a production LLM feature that explains DSA problems with real-life explanations, using Grok with automatic failover to OpenRouter (and multiple backup models) to avoid user-facing failures. Improved cost efficiency by implementing difficulty-based token budgets and iterated prompt quality via structured constraints and an in-app feedback mechanism, reporting satisfaction across 38 users.”
Junior Full-Stack Developer specializing in React, Node.js, and AI-powered web apps
“Robotics software engineer with ROS 2 Humble/Nav2 experience on a warehouse robot fleet, focused on improving throughput in dynamic human environments. Implemented C++ local-planner and velocity-control changes using LiDAR-based motion prediction and real-time costmap tuning under a 20ms control loop, and built a Gazebo digital twin with custom failure-injection plugins plus Docker/Kubernetes deployment tooling.”
Junior Machine Learning Engineer specializing in NLP and LLM-based clinical AI
“Built a production automated resume matching system using Python, FAISS vector search, and Selenium-based job scraping, including mitigation for IP blocking and heterogeneous site structures. Also develops LLM/RAG applications with LangChain, using Pydantic-guardrailed structured outputs and LLM-as-a-judge evaluation (including a project focused on tone/semantics for a 3D avatar’s emotional responses).”