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Lead the design and deployment of ML systems on Kubernetes using KServe, PyTorch, TensorFlow, and AWS for Capital One’s fintech products.
Lead AI/ML Engineer builds and scales an AI-powered travel recommendation system using LLMs, RAG, and multimodal search to boost conversion and user experience.
Lead a team to build and optimize finance analytics, AI/ML automation, and GCP infrastructure for a travel-tech startup, turning financial data into actionable insights.
Lead finance analytics and AI enablement at a travel-tech startup, building data pipelines, optimizing GCP costs, and deploying LLM-based systems to automate financial reporting and decision-making.
Lead the design and deployment of AI/ML models for document understanding, using NLP and computer vision to automate contract analysis and improve customer experiences on Docusign’s platform.
Leads high-fidelity robotics simulations, focusing on sensor and mechanical modeling, and AI data workflows to validate real-world robotic performance.
Build and deploy production-grade machine learning systems for ad-targeting and analytics using Databricks, MLFlow, and cloud infrastructure.
Build and deploy generative AI models and LLM-based systems on AWS for clients, focusing on production-grade RAG, agentic workflows, and ML pipelines.
Build and deploy ML models (XGBoost, RAG, agent workflows) to drive business decisions in consumer banking, partnering with developers to integrate solutions.
Researches and builds 3D computer vision and SLAM systems for autonomous robots, focusing on perception pipelines, navigation, and manipulation in real-world environments.
Bridge business needs and engineering for AI/ML SaaS products, owning backlog and translating requirements into specs for personalization, fraud detection, and GenAI systems.
Orchestrate data operations and AI/ML training pipelines, managing labeling teams and ensuring data quality for product development.
Develop AI/ML models and systems for secure government applications requiring security clearance.
Build and scale high-performance ML systems for real-time fraud detection using PyTorch/TensorFlow and multi-GPU training pipelines, while mentoring engineers and shaping data architecture.
Build and lead AI/ML systems for energy infrastructure, including predictive maintenance, anomaly detection, and time-series forecasting on industrial sensor data.
Design and implement storage solutions for AI/ML workloads on Google Cloud Platform, including benchmarks, performance tuning, and cross-team collaboration.
Designs, implements, and optimizes secure Azure cloud platforms for AI/ML workloads and data services, collaborating with teams to deliver scalable, resilient solutions.
Build and harden ML models that detect prompt-injection and other AI security threats across languages and data types, using NLP and vision techniques in production.
Lead a team to design and deploy machine-learning and data pipelines using Python, Spark, and SQL, mentoring engineers while driving healthcare insights.
Build and deploy LLM-based AI pipelines and services, integrating them into corporate products and systems using Python, RAG, and vector databases.
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