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Lead AI/ML and Agentic AI projects to build predictive, prescriptive, and generative models that drive revenue growth, demand forecasting, and business decisions using Python, Azure AI, and Databricks.
Build and deploy ML models for fintech and cybersecurity products, owning the full lifecycle from data exploration to production deployment and monitoring.
Build and deploy production-grade AI models for clients, including credit risk, fraud detection, and generative AI solutions using Python, ML frameworks, and cloud MLOps.
Build and deploy ML models on GCP to optimize AirAsia’s operations, using Python, TensorFlow/PyTorch, and Vertex AI for forecasting and predictive tasks.
Build and maintain ML systems for fintech and cybersecurity products, designing models to solve business problems and automating ML workflows in production.
Build predictive models, time-series forecasts, and generative-AI tools to optimize sales operations at a semiconductor/AI company using Python, SQL, and ML frameworks.
Senior data analyst building ML-driven forecasting tools for oilfield equipment and reservoir dynamics, analyzing sensor data and telemetry to optimize production.
Senior data engineer building scalable data pipelines, modeling layers (Raw/Clean/Enriched), and implementing fuzzy matching algorithms in Python to clean and link records.
Build and deploy enterprise GenAI applications using LLMs and multi-agent frameworks, integrating RAG pipelines and Python backend services for scalable AI solutions.
Build and deploy deep-learning forecasting models for DeFi trading strategies using reinforcement learning and time-series data to maximize protocol yield.
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.
Build and deploy ML models and AI solutions to power data products for a global footwear retailer, using Python, LLMs, and cloud tools.
Evaluate AI-generated ML models and data science solutions for accuracy, applying machine learning, statistical modeling, and Python/SQL to improve AI reasoning and performance.
Evaluate AI-generated data science solutions, models, and analyses for accuracy and reasoning quality, providing technical feedback to improve next-gen AI systems.
Build and improve ML systems that make real-time underwriting decisions for Affirm’s buy-now-pay-later checkout, using Python, PyTorch, and distributed data tools.
Build and deploy ML models to detect and prevent real-time debit transaction fraud using Python, Spark, and gradient boosting, while collaborating with engineers and product teams to protect customers.
Design and deploy LLM and ML solutions for customers, lead workshops, and ensure ethical, compliant AI systems in production across cloud platforms.
Build and deploy predictive, prescriptive, and Agentic AI models to drive revenue growth, demand forecasting, and commercial decisions across ASEAN & South Pacific markets using Python, Azure AI, and Databricks.
Builds and deploys ML models in Python (scikit-learn, PyTorch) to solve industrial problems, then monitors and troubleshoots them in production.
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