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Vetted Engineering Professionals in Michigan
Pre-screened and vetted in Michigan.
Popular Titles
Rahul Misra
Entry-Level Software Engineer specializing in embedded and systems development
Akalpita Umate
Junior Robotics and Automation Engineer specializing in industrial robotics and ROS2 autonomy
Laxmi Chinnapureddy
Mid-level Full-Stack Software Developer specializing in cloud-native microservices and IoT
Poorvi Rqaddi
Intern Embedded Systems & ML Engineer specializing in IoT diagnostics and applied deep learning
Mehrdad Dorostian
Senior Robotics Software Engineer specializing in perception, sensor fusion, and SLAM
Shradha Prodduturi
Mid-Level Full-Stack Java Developer specializing in cloud-native microservices
ABHISHEK AKODIYA
Senior Technical Animator specializing in MetaHuman pipelines and AI-driven character systems
“Unreal Engine gameplay/systems developer who owned core systems like NPC AI (AI Controller/Behavior Trees) and loot/itemization/economy, plus progression/difficulty frameworks for a shipped title. Notably drove mobile performance/packaging work, citing a ~75% reduction in AAA Android export size to get a high-end console-quality build under 500MB, including a custom Photoshop macro pipeline to process a massive texture library. Also prototyped advanced MetaHuman features (secure WebSocket, speech/visemes, expressions) using Blueprints and Unreal Editor Python utilities.”
Prateek Sharma
Mid-level ADAS/Autonomy Software Engineer specializing in simulation, maps, and motion planning
“Robotics software engineer who owned the navigation/control stack for a commercial autonomous lawnmower at Wavemaker Labs, with hands-on sim-to-real tuning and real-world debugging. Experienced in ROS 1/ROS 2 path tracking (Pure Pursuit), including adapting ROS 2 planner code into a ROS 1 system, and building telemetry/logging to quantify tracking errors. Currently in an ADAS simulation team enabling algorithm teams with SIL/HIL and feature validation.”
Bharrghav sai Maheshwaram
Senior QA Automation Engineer specializing in compliance, API, and platform testing
Kevin Delong
Senior Software Engineer specializing in cloud-native full-stack and AI/ML systems
Abhishek Chaudhari
Mid-level Robotics Engineer specializing in autonomous systems and robot perception
Sirisha Manthena
Mid-level Full-Stack Software Engineer specializing in React, Node.js, and TypeScript
Lokesh Sangaraju
Mid-level Full-Stack Developer specializing in cloud-native microservices and FinTech
Anusha GK
Mid-level Embedded Software Engineer specializing in automotive infotainment and telematics
Ved Deore
Intern Full-Stack Software Engineer specializing in Java/Spring Boot and React
Haard Rao
Mid-level Robotics/Software Engineer specializing in embedded and real-time distributed systems
Sruthi Masuram
Senior Full-Stack Python/AI Engineer specializing in RAG and cloud microservices
Nishchay Kulkarni
Intern Embedded Systems & ML Engineer specializing in automotive perception and V-SLAM
Jonathan Zhu
Intern Systems Software Engineer specializing in concurrency and operating systems
Adam Valade
Junior Full-Stack Developer specializing in web systems and performance-focused backend work
Madhuri Reddy
Mid-level Full-Stack Java Developer specializing in microservices and cloud
Indupriya gummadi
Mid-level Full-Stack Developer specializing in React/Next.js web applications
“Software engineer with airline operations domain experience building real-time dashboards and internal tools for frontline ops and customer support. Strong in TypeScript/React performance optimization and backend/microservices reliability (RabbitMQ, DLQs, autoscaling, correlation IDs/observability), with a track record of shipping incrementally via feature flags and driving organic adoption through pilot-led iteration.”
Ronak Jain
Mid-level Sensor Fusion Research Engineer specializing in autonomous vehicle perception
“Robotics/perception engineer with experience at Magna International building and scaling a ROS2-based autonomous vehicle sensor-fusion stack from radar+camera to include LiDAR, addressing hard problems like PTP nanosecond synchronization and probabilistic data association. Also developed and deployed a real-time 3D LiDAR object detection pipeline (PointPillars-style) optimized with ONNX/TensorRT and FP16, with strong production bringup/monitoring and rigorous simulation-to-road testing practices.”