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Build and deploy ML models and LLM-based apps for beauty ecommerce, including recommendation engines and NLP, using PyTorch, FastAPI, and GCP VertexAI.
Build and maintain Google’s data infrastructure for Payments, designing pipelines and tooling to ensure reliable, scalable data access for product and analyst teams.
Build and deploy AI features like LLMs and predictive models, writing clean Python code and collaborating with cross-functional teams in a fast-paced startup.
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.
Design and build generative and agentic AI solutions for enterprise clients, including LLMs, RAG, and AI agents, while advising on data strategy and analytics.
Build and deploy AI-powered applications using LLMs, vector databases, and AI orchestration frameworks like LangChain or Semantic Kernel.
Build and optimize data pipelines and real-time systems for a bank using Java, Spark, Python, and Hadoop ecosystem tools to support AI-driven analytics and risk scoring.
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.
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 maintain AWS-based data pipelines and cloud infrastructure for Singapore’s legal sector, consolidating datasets and preparing data for AI-powered tools like LLMs.
Builds and maintains CDC pipelines to sync Singapore’s legal data into a Neo4j knowledge graph, ensuring AI models stay current with statutory changes via automated ETL and validation.
Design and maintain scalable data pipelines for AI/ML use cases, focusing on NLP and GenAI evaluation frameworks and experiments.
Build and evaluate AI/NLP models for government services, focusing on generative AI, evaluation frameworks, and production deployment with rigorous testing and responsible-AI practices.
Data Engineer to build and maintain AI evaluation frameworks for Singapore’s public-sector digital initiatives, focusing on NLP, generative AI, and responsible AI practices.
Designs offline data architectures for TikTok’s large-scale recommendation systems, building scalable storage and computing systems while applying data mining and NLP to extract insights from big datasets.
Designs and maintains scalable data pipelines for NLP, GenAI, and ML workloads to extract insights and support AI initiatives in a product-focused team.
Designs and optimizes large-scale recommendation systems using AI/ML, focusing on cost-efficiency, multimodal data, and adaptive tuning for e-commerce.
Lead AI initiatives for banking clients, designing GenAI chatbots and automation workflows using Microsoft AI tools and LLMs, while mentoring teams and aligning AI projects with business goals.
Lead the design and delivery of enterprise-scale data platforms for a bank, building scalable Lakehouse architectures with Databricks, Snowflake, and Apache Iceberg/Delta Lake/Hudi to support regulatory reporting, risk management, and AI-driven analytics.
Backend engineering intern on TikTok’s recommendation architecture team, optimizing large-scale systems for stability, performance, and cost-efficiency using C++/Python and AI-driven tuning.
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