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Manage the full RTL-to-GDS physical design flow for complex automotive semiconductor chips, driving block-level timing closure, low-power checks, and signoff using Synopsys/Cadence tools and Tcl/Perl/Python scripting.
Designs and maintains high-density GPU clusters for AI/ML workloads, focusing on compute, networking, storage, and automation to optimize distributed training performance.
Leads AI strategy and security services, automating internal workflows (e.g., SOC triage) and creating new AI governance/risk assessment and red-teaming services for clients using AI/ML tools.
Validates and improves LLM/ML model outputs while building scalable systems for data quality and reliability in AI systems used by millions globally.
Leads AI/data projects from scoping to deployment, bridging business needs and technical teams using Agile practices and cloud platforms.
Build end-to-end product features connecting Next.js frontends with Python/Node.js backends and LLM-powered AI inference pipelines, designing autonomous agent workflows with a focus on reliability and real-time interaction.
Builds and deploys AI/ML solutions, including LLMs and agentic systems, managing pipelines from data to production while ensuring scalability and reliability.
Build and deploy production-grade AI models for geospatial applications, leading ML system design, MLOps, and cross-team collaboration.
Data Science intern at a Singapore deeptech startup building an AI code-generation platform powered by Graph Neural Networks; day-to-day work involves Python development, extending AI engines, and learning Knowledge Graph Data Science.
Design and build scalable backend systems for an AI-driven app, ensuring high performance and availability while collaborating with product teams.
Leads AI/ML system design, development, and deployment for geospatial applications, focusing on scalable production models, MLOps, and cross-team collaboration to integrate AI into platforms.
Presales AI Solutions Engineer guiding enterprise clients through AI transformation by showcasing Xinference and Xagent platforms, leading POCs, and designing secure cloud/hybrid architectures.
Design and deliver a virtual workshop on AI for small organizations in Honduras, creating accessible materials and interactive activities to help them apply AI tools responsibly.
Owns requirements gathering and process mapping for ERP/CRM migration, translating business workflows into structured artifacts for vendor evaluation and system design.
Designs and deploys production-grade AI solutions by integrating AI prototypes into RTX’s AI Factory infrastructure, ensuring scalability, security, and compliance with enterprise standards. Core focus: cloud-based AI/ML pipelines, microservices, and DevOps automation.
Build and deploy NLP and multimodal AI systems for real-time analysis of communication data, from ingestion to production-scale modeling.
Designs and deploys AI/ML models and platforms in Azure, integrating generative AI and LLMs into customer workflows via APIs and copilots to drive data-driven decisions.
Design and build AI-native natural language reporting systems for Amazon Ads, enabling advertisers to query campaign performance in plain language and receive real-time insights.
Sell AWS’s Generative AI and ML services to Automotive & Manufacturing customers, advising on adoption and deployment to drive revenue and solve business problems.
Senior Partner Solutions Architect advises manufacturing ISVs on AWS cloud strategies, designs scalable solutions, and enables go-to-market success through technical guidance, co-engineering, and thought leadership.
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