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Build and optimize ML models for crypto marketing: predict user behavior, forecast LTV, and allocate ad spend to drive growth on Binance’s exchange platform.
Build and deploy ML models (propensity, recommendation, LTV) on AWS SageMaker and use LLMs for personalisation and analytics to drive revenue growth in a digital bank.
Build and maintain Google’s Payments data infrastructure, designing pipelines and tooling to ensure reliable, scalable data for decision-making and product development in consumer and business payments.
Lead a team to design, build, and deploy AI/ML models (computer vision, GenAI, NLP) using TensorFlow/PyTorch and MLOps practices, while mentoring engineers and owning full model lifecycles.
Own the full AI lifecycle: research and fine-tune models, build production pipelines, and deploy scalable APIs that power credit scoring, fraud detection, and personalization.
Build and deploy GenAI-enabled ServiceNow solutions for enterprise clients, prototyping high-impact AI workflows and agentic platforms while collaborating with senior stakeholders.
Lead a team deploying enterprise-scale GenAI solutions on ServiceNow for Fortune 500 clients, setting technical direction, removing blockers, and mentoring engineers while translating trade-offs for C-suite stakeholders.
Lead a team deploying GenAI solutions on ServiceNow for government clients, setting technical direction, removing blockers, and mentoring engineers while traveling 50% to client sites.
Architect and deploy enterprise AI platforms on Google Cloud using Vertex AI and Gemini, optimizing for scalability, security, and cost while leading cloud-native development and MLOps.
Builds and validates workforce models using Python and regression analysis to forecast FTE needs for government clients, integrating outputs into client-facing applications.
Senior engineer embeds with government clients to prototype and deliver GenAI-enabled ServiceNow solutions, mentors teams, and drives enterprise-scale AI transformations with measurable impact.
Build and deploy GenAI-enabled solutions on ServiceNow for government clients, embedding with teams to prototype and deliver AI workflows with measurable impact.
Senior engineer embeds with clients to prototype and deliver GenAI-enabled ServiceNow solutions, mentors teams, and drives enterprise-scale AI transformations.
Build and deploy ML models for retail forecasting, personalization, and computer vision/LLM use cases using Python, Spark, and cloud platforms.
Builds AI-ready data pipelines and AI agent systems for Amazon’s global seller platform, integrating multi-source data to power analytics and machine-learning features.
Build LLM-powered AI agents for Amazon sellers using retrieval, tool-use, and evaluation frameworks to deliver personalized growth insights and conversational support.
Lead the design and deployment of ML models for credit risk, collections, fraud detection, and customer segmentation in digital lending, using Python, SQL, and MLOps tools.
Build and maintain scalable data pipelines to process telematics data, transforming raw sensor/driver behavior into clean, analytics-ready features for pricing and risk models using SQL, dbt, Snowflake, and Azure.
Leads a tiger team to modernize AI/ML platforms, integrating LLMs (RAG, embeddings) and automating data pipelines for customer identity resolution, while mentoring teams on next-gen AI development and .NET/React-based infrastructure.
Senior Manager designs and implements GenAI solutions for healthcare clients, leading teams to transform raw data into actionable insights using Python, ML frameworks, and cloud platforms.
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