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Build and maintain the software stack for an autonomous tile-grouting robot using ROS2, integrating AI models and embedded firmware while calibrating sensors and testing in real-world construction sites.
Build and deploy AI/ML models for industrial computer vision and edge computing in manufacturing, integrating solutions into global production systems.
Build and evaluate generative and predictive models for high-content cell imaging to uncover disease mechanisms and guide drug discovery, using deep learning and multi-omic data.
Develop and deploy AI-powered robotics for automotive manufacturing, focusing on computer vision, sensor fusion, and simulation tools to improve production efficiency and reliability.
Designs scalable software architectures and AI-enabled solutions for client projects, balancing pre-sales, delivery, and AI adoption while collaborating with ML engineers and cross-functional teams.
Internship developing machine learning and computer vision features for ZEISS’s digital microscopy platform using Python and modern DL/CV techniques.
Build and deploy scalable AI systems, including agentic frameworks and ML models, using Python and cloud platforms like AWS. Lead cross-functional teams to integrate AI solutions into production environments.
Intern designs and implements computer-vision models for embedded systems, optimizing object detection and AI inference on edge devices like NVIDIA Jetson.
Design and implement enterprise-scale Databricks Lakehouse architectures, lead client engagements, and optimize Spark-based pipelines for secure, high-performance AI and data workloads.
Build real-time, mission-critical interfaces for remote control of autonomous equipment using React, TypeScript, and live data streams.
Build offline perception models for autonomous trucks, using deep learning and sensor fusion to auto-label data for training and simulation.
Lead the design and deployment of production-grade AI/ML solutions, including generative AI, LLMs, and agentic systems, to drive measurable business impact in Johnson & Johnson’s MedTech supply chain.
Research Scientist driving novel AI/ML and computer vision methods, publishing at top conferences, and collaborating with engineering to scale solutions for a large userbase.
Principal AI/ML Architect designs and advises on production ML systems, MLOps/LLMOps pipelines, and GenAI architectures on AWS for enterprise clients, translating technical depth into business value.
Build and deploy 4D Vision™ systems for industrial robots, extending object detection, depth estimation, and pose estimation using PyTorch and foundation models to enable precise automation on factory floors.
Build and deploy ML systems for crypto fraud detection, recommendations, and chatbots using deep learning and graph neural networks to secure and improve Coinbase’s platform.
Build and deploy AI/ML models (computer vision, NLP, LLMs) on Azure to support transportation and infrastructure projects, ensuring robust CI/CD and stakeholder communication.
Senior full-stack developer building government services with Python, .NET, FastAPI, Next.js/React, and Node.js, focusing on RESTful APIs and responsive UI.
Build and simulate humanoid robots that mimic human movement, integrating AI reasoning with physical motor control using ROS 2, reinforcement learning, and NVIDIA Isaac Sim.
Data Scientist at Metropolis builds and deploys ML models to analyze large datasets and drive AI-powered checkout-free experiences in parking and mobility, using Python, SQL, and frameworks like TensorFlow.
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