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Vetted OpenCV Professionals
Pre-screened and vetted.
Staff Machine Learning Engineer specializing in LLMs, recommendations, and MLOps
Junior Software Engineer specializing in AWS cloud infrastructure and ML systems
Mid-Level Full-Stack Software Engineer specializing in AWS and automation
Senior Full-Stack Engineer specializing in cloud-native SaaS and AI/ML integration
Intern Computer Vision/ML Engineer specializing in mapping, localization, and scalable inference
Mid-level Machine Learning Engineer specializing in GenAI, forecasting, and MLOps
Mid-level Data Scientist/ML Engineer specializing in LLMs, NLP, and recommender systems
Intern Software Engineer specializing in AI/ML and full-stack web development
Senior AI/ML Engineer specializing in healthcare and fintech AI systems
Staff Platform/ML Engineer specializing in agentic AI, RAG, and cloud infrastructure
Senior Software Engineer specializing in distributed systems, ML infrastructure, and search
Mid-level Agentic AI & ML Engineer specializing in LLM agents and RAG systems
Mid-level AI/ML Engineer specializing in cloud MLOps and GenAI for fraud detection
Mid-level Software Engineer specializing in distributed systems and full-stack development
Senior Applied AI Engineer specializing in LLMs, RAG, and computer vision
Ritika Ghosh
Junior Robotics & AI Engineer specializing in ROS2 autonomy and real-time computer vision
“Robotics software engineer from Stanley Black & Decker’s autonomous team who built and deployed a ROS2-based model predictive control system for a commercial autonomous lawn mower, integrating real-time localization, Nav2 planning, and custom control under real-time constraints. Has hands-on field debugging experience (Foxglove, TF timing, covariance/noise tuning) to resolve issues that only appeared outside simulation, plus containerized deployment and CI/CD experience.”
Aaditya Voruganti
Junior AI & Software Engineer specializing in robotics and ML infrastructure
“Robotics engineer from UIUC’s Intelligent Motion Lab who led the perception stack for a humanoid robotic nurse, fusing camera/LiDAR/IMU on NVIDIA Jetson Orin for real-time localization and scene understanding across six robots. Deep expertise in ROS 2 and edge ML optimization (TensorRT, CUDA, zero-copy), delivering major latency/throughput gains (10 FPS to 22+ FPS) and building fault-tolerant pipelines with gRPC offloading and real-time reliability practices.”
Varmin Singh
Intern Software Engineer specializing in data engineering and LLM/RAG systems
“Built and productionized enterprise LLM/RAG systems, including a Boeing internal solution that gave 400+ program managers conversational access to 1M+ rows of schedule data, with strong emphasis on governance, reliability, and reducing hallucinations in tabular domains. Also has experience running developer-focused workshops (UC Berkeley computer architecture) and partnering with customer-facing stakeholders to drive adoption of a compliance-sensitive NLP product (SEC-aligned) at Penserra.”