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Deploy and maintain an AI platform across cloud GPU, managed services, and on-premise setups using Kubernetes, CI/CD, and cloud-native tools.
Lead AI strategy for Bumble’s recommendation, ranking, and personalization systems, building production-grade ML models and AI agents with PyTorch and LLMs to boost engagement and safety.
Lead AI strategy for Bumble’s matching and recommendation systems, building production-grade ML models and AI agents with PyTorch and LLMs to improve user engagement and safety.
Build and deploy ML models in Python to solve business problems, working with stakeholders to productionise scalable analytics solutions.
Build and deploy ML models to personalize recommendations and connections across Bumble’s dating and social platforms using PyTorch/TensorFlow and modern AI techniques.
Lead a team to design and deliver AI/ML solutions for Workday products, including predictive analytics, anomaly detection, and generative AI integrations, while mentoring staff and managing client engagements.
Senior AI Engineer builds and integrates LLM-powered chatbots and NLP tools to deliver data-driven insights for automotive dealerships, using Python, TensorFlow/PyTorch, and cloud platforms.
Design and implement scalable AI platforms on Databricks, leading data/AI modernization and collaborating with engineering and analytics teams.
Principal ML Engineer building real-time AI systems that turn live sports video and data into predictive insights and personalised fan experiences using computer vision, generative AI, and MLOps.
Lead a team to design, build, and deploy ML models for customer churn, segmentation, and recommendations in a growing ecommerce company.
Build and train AI agents (Python, LangChain/LangGraph) to detect early risk signals in small-business loan portfolios, designing scalable multi-agent pipelines and cohort-analysis tools for real-time decision support.
Build trading systems and AI-driven compute platforms for quantitative finance, contributing to production code and machine learning workloads in a fast-paced internship.
Lead AI/ML engineering for agentic systems at JPMorgan Chase, designing LLM orchestration, RAG pipelines, and reusable GenAI components in Python with PyTorch/TensorFlow.
Build and deploy secure, scalable AI/ML and generative-AI solutions—including LLMs and agent workflows—from prototype to production for a global bank.
Build and scale ML platforms and infrastructure for JPMorgan Chase, enabling data scientists to train, deploy, and monitor models securely in a fintech environment.
Lead the design and deployment of ML models to detect fraud in merchant transactions using graph-based features, GNNs, and real-time pipelines in a regulated financial setting.
Lead engineering teams building and scaling machine learning platforms for JPMorgan Chase, overseeing ML infrastructure, MLOps pipelines, and responsible AI adoption to empower data scientists and ML engineers.
Build and maintain full-stack AI-native marketing platform using TypeScript, Python, and agentic coding tools like Claude Code; develop ML models, RAG pipelines, and LLM evaluation frameworks.
Build and deploy ML models and LLM-powered tools to improve healthcare solutions using Python, TensorFlow/PyTorch, and LangChain.
Build and deploy cutting-edge forecasting models and LLM agents for scenario planning in banking, using PyTorch, LangChain, and production-grade MLOps tooling.
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