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Lead the development and scaling of Overstory’s Wildfire Fuel Detection Model using AI, geospatial data, and deep learning to predict vegetation risks and reduce wildfire threats for electric utilities.
Builds and deploys generative AI solutions using large language models, focusing on prompt engineering, model optimization, and seamless integration with real-world systems.
Analyzes financial documents like earnings calls and SEC filings to evaluate AI model outputs and improve GenAI features for market intelligence.
Lead quality engineering for AI-driven market intelligence software, designing test automation frameworks, integrating AI evaluation tools, and embedding quality practices across teams using TypeScript, Playwright, Kubernetes, and cloud services.
Analyzes financial documents and AI model outputs to improve GenAI features for market intelligence, collaborating with cross-functional teams.
Staff Quality Engineer at AlphaSense builds and owns test automation frameworks for AI-driven market intelligence software, focusing on reliability, cloud services, and modern testing tools.
Develop and deploy AI/ML models—including GenAI/LLMs—across Bosch's product portfolios using Python, TensorFlow/PyTorch, and MLOps practices in Ho Chi Minh City.
Designs and builds scalable Golang applications and data storage solutions, collaborating with distributed teams to deliver secure, high-performance digital products for enterprise clients.
Senior Data Analyst at an e-commerce search and discovery platform, analyzing user behavior, designing A/B tests, defining metrics, and building dashboards using SQL and Python on large-scale datasets.
A Junior Data Scientist at Samba TV builds and deploys end-to-end ML/AI solutions for identity and audience modeling, focusing on real-time consumer attention data. Core work includes designing models, optimizing pipelines, and collaborating cross-functionally to deliver production-ready tools using Python, PySpark, and modern AI techniques.
Design, train, and optimize deep learning models for object detection, tracking, and activity recognition on Woven by Toyota's Digital Twin Platform using PyTorch/TensorFlow in industrial/logistics environments.
Build and refine AI systems that power iconic game characters, ensuring responses stay true to their lore through prompt engineering, RAG, and evaluation frameworks.
Principal Machine Learning Engineer at Atlassian working on Rovo Chat, an AI-powered product. The role involves leading technical vision, building production ML systems, advancing agentic capabilities, and establishing quality standards for AI products.
Leads AI product development by designing scalable agentic systems, optimizing LLMs for production, and mentoring teams on MLOps best practices for digital assistants.
Founding Senior Backend Developer for a new Generative AI hub in Valencia, building an Agentic AI platform on Azure for a financial services organization using Node.js/.NET 8, Azure OpenAI, Cognitive Search, Cosmos DB, and Langchain/Langgraph.
Designs and scales AI-native systems (LLMs, agentic workflows) as a senior architect, defining architecture standards and leading technical delivery for healthcare clients.
Build and lead ML systems for fintech products like transaction enrichment and personalization, using Python, SQL, and LLM techniques to improve user financial insights at scale.
The Principal Consultant designs and deploys scalable data and AI solutions using Palantir Foundry and AIP. They work directly with clients to build production-quality AI applications, manage data pipelines, and implement agentic AI workflows.
Build and scale an internal AI assistant and agentic AI workflows that automate commercial operations at a luxury beauty omnichannel retailer, using LLMs, LangChain/AutoGen, Python, RAG, and REST API integrations.
Perform penetration tests and red-team exercises across enterprise systems, cloud, AI, and mainframes, documenting vulnerabilities and recommending fixes to protect a major bank’s infrastructure.
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