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Designs and deploys AI/ML models and architectures to improve HPE’s edge-to-cloud products, using Python, TensorFlow/PyTorch, and distributed computing for scalable, reliable solutions.
Design and deploy AI systems (GenAI, ML, agents) with MLOps, integrating LLMs and RAG pipelines into global mobility platforms while ensuring compliance and scalability.
Lead a team to design and deploy AI solutions for a national flooring retailer, owning the full data science lifecycle from modeling to validation.
Design and build ML models, engineer features, and analyze data to solve classification, clustering, and regression problems for Bosch’s AI-driven products.
Build and deploy agentic AI and LLM-based solutions, optimize models for performance and cost, and integrate them into production systems using Python, GCP, and on-prem GPU clusters.
Lead the design and deployment of AI systems (NLP, LLMs, computer vision) from edge to cloud, set engineering standards, and mentor teams to build secure, scalable AI platforms for public-sector clients.
Build and deploy AI/ML pipelines, NLP systems, and LLM solutions on cloud and edge devices using Python, FastAPI, and Azure/AWS.
Build and maintain MLOps infrastructure and decision engines to productionize AI/ML models, including LLMs, for real-time enterprise workflows.
Designs and builds scalable cloud data pipelines on Azure Databricks and Synapse, enabling analytics and AI/ML workloads with PySpark, SQL, and CI/CD.
Principal ML Engineer at Micron designs, builds, and deploys scalable AI/ML models and pipelines to optimize semiconductor manufacturing, using Python, TensorFlow/PyTorch, and cloud platforms like GCP/Azure.
Build ML models to detect and govern AI agents in Kubernetes clusters, using telemetry and LLMs to create risk scores and enforce security policies for enterprise customers.
Build and own fraud-detection models and financial-risk products using Python, PostgreSQL, and AWS; research new fraud types and ship production-grade code for real-time decisions.
Build and deploy deep-learning forecasting models for DeFi trading strategies using reinforcement learning and time-series data to maximize protocol yield.
Build and deploy AI/ML models to drive business insights for Gartner’s research products, using Python, SQL, and Spark to analyze client retention, demand, and operational efficiency.
Builds data pipelines and ML models (NLP, LLMs, RAG) to process financial data, automate analytics, and enhance AI workflows using Python, cloud platforms, and MLOps practices.
Build and scale ML systems for ad ranking, bid optimization, and real-time recommendations using PyTorch/TensorFlow to improve CTR, CVR, and ROI in a mobile advertising platform.
Build and deploy AI/ML models for global clients, leading projects from design to production using Python, SQL, and MLOps tools.
Principal Data Scientist at Walmart leading end-to-end AI system design, autonomous agent development, and production ML deployments using PyTorch, LangChain, and multi-cloud platforms.
Design and productionize ML models for eBay’s ranking, recommendations, personalization, and pricing systems using Python, AWS, Databricks, and Zipline.
Build and deploy AI-powered web apps and APIs for smart manufacturing, integrating LLMs, robotics, and predictive models to optimize Micron’s global semiconductor production lines.
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