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Research and develop multimodal large language models (VLMs) to improve video and code understanding for TikTok’s content and R&D workflows.
Design and build production-grade AI/ML platforms and MLOps pipelines for clients, using Python, cloud (GCP/AWS/Azure), Terraform, and tools like Vertex AI and Kubernetes.
Build and operate an internal AI platform for a fintech company, designing retrieval layers, agent runtimes, and deployment pipelines using Python, FastAPI, and cloud services.
Build autonomous AI agents and automation pipelines for an FMCG enterprise, integrating LLMs with enterprise systems using RAG and Azure AI tools to handle pricing, sales, and operations workflows.
Build and own the AI layer for Elderwise, fine-tuning LLMs to convert caregiver notes into clinical documentation, with embeddings, RAG, and evaluation systems for accuracy and safety in healthcare.
Design and implement AI evaluation, orchestration, and verification workflows for a high-assurance agentic AI platform used in regulated industries.
Build and deploy production-grade AI systems, including agentic workflows, RAG pipelines, and LLM integrations using Python, TensorFlow, and PyTorch.
Build and deploy LLM-powered and agentic AI systems for healthcare, including RAG pipelines, multi-agent orchestration, and clinical decision support tools.
Lead the design and deployment of GenAI solutions for insurance, including RAG pipelines, vector databases, and LLM fine-tuning on AWS to deliver context-aware AI capabilities.
Build and deploy AI agents and GenAI solutions using Azure AI Foundry, OpenAI, and LangChain, focusing on RAG pipelines, copilots, and agentic workflows.
Build and deploy AI-powered applications using LLMs, vector databases, and AI orchestration frameworks like LangChain or Semantic Kernel.
Build and lead a production-grade conversational AI system using LLMs, RAG, and guardrails; own the full stack, infrastructure, and security for a live AI agent answering user queries.
Build and maintain AI Agent applications using LLMs for intelligent Q&A, task planning, and workflow automation in energy-storage systems.
Designs and builds AI/ML models and agentic systems to automate workflows, enhance client engagement, and drive decision-making across retail, marketing, and operations using Python, LLMs, and cloud platforms.
Build and optimize a global payment data warehouse, pipelines, and AI apps (LLM agents, RAG, analytics) for ByteDance’s fintech business.
Build and deploy ML systems for TikTok’s monetization, focusing on AI labeling, multimodal content understanding, and agentic workflows to improve ads and live-streaming revenue.
Builds and optimizes Shopee’s e-commerce data warehouse and real-time analytics systems using big data tools (Spark, Flink, Kafka) and SQL, while exploring AI-driven data solutions.
Lead a new Singapore-based applied AI team to build production-grade generative AI and ML solutions for BNY’s enterprise platform, Eliza, from problem framing to deployment and governance.
Build and optimize high-performance location-based services for TikTok, including fused geolocation systems, microservices, and LLM-powered workflows to support local merchant discovery.
Drive Singapore’s digital transformation by advising high-growth tech startups on AI, data engineering, and cybersecurity solutions, assessing their credentials, and crafting scalable enterprise use cases.
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