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Develops and optimizes AI-driven perception systems for autonomous vehicles, combining camera, lidar, and radar data to detect, track, and classify objects in real-time for Level 4 self-driving tech.
Build ultra-realistic autonomous-vehicle simulations using large foundation models to train and evaluate the Waymo Driver in London and Oxford.
Build and deploy machine learning models to automate and optimize business processes, using Python and cloud platforms to drive operational efficiency and strategic insights.
Build and maintain Palantir AI solutions in El Paso, TX, designing ML models and data pipelines to support government and defense workflows.
Develops AI-driven geospatial models to analyze satellite imagery for vegetation risk assessment in energy grids, improving wildfire prevention and outage reduction using Python, PyTorch, and geospatial libraries like GDAL and GeoPandas.
Build and improve AI models and infrastructure for Workday’s enterprise SaaS products, focusing on machine learning systems that power HR and finance workflows.
AI Engineer Intern prototypes GenAI apps for digital learning and simulation, trains/evaluates models, and builds AI-powered features under senior guidance.
Build and productionize generative AI models and LLM-driven applications using PyTorch, RAG pipelines, and vector databases, while engineering robust MLOps and data pipelines in Python.
Senior Software Engineer at Visa building GenAI and agentic systems in Java/Python to enhance Value-Added Services, integrating AI with payments infrastructure and collaborating across teams.
Build and maintain scalable data infrastructure for Amazon’s AI/ML research teams, enabling analytics and model training on large datasets using AWS tools.
Senior Manager leading GenAI architecture and data solutions at PwC India, designing scalable AI systems and coaching teams to extract insights from large datasets.
Lead a team to build and deploy LLM-powered healthcare analytics solutions, including RAG pipelines and AI model infrastructure, while mentoring staff and managing client accounts.
Lead a team to build and deploy LLM-based AI models for healthcare clients, focusing on data pipelines, predictive analytics, and strategic insights delivery.
Senior DevOps/LLMOps engineer building AI-driven automation and cognitive solutions, deploying LLMs, and maintaining cloud/data pipelines for PwC’s Data & Analytics practice.
Build and maintain data pipelines, APIs, and full-stack apps to turn raw data into insights for PwC’s clients using Python, PySpark, SQL, ReactJS, and machine learning.
Build and deploy ML models to detect and classify drone threats using RF datasets, DSP, and deep learning; automate data pipelines and improve detection capabilities.
Lead AI/ML and analytics projects to build digital health products for eye care, including GenAI applications and predictive analytics, while mentoring teams and shaping analytics standards.
Lead an agile team building AI/ML and business intelligence solutions for a Federal Regulatory agency using Python, AWS SageMaker, and Power BI.
Develop AI-driven robotics for warehouse automation, prototyping manipulation behaviors using deep learning and ROS to improve real-world pick-pack-sort systems.
Designs and optimizes memory subsystems (caches, MMUs, DRAM controllers) for NVIDIA GPUs, balancing performance, power, and area while modeling and validating new features.
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