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Owns the AI-driven investment content journey for Toss Securities, from content creation to user discovery and retention, using data and experiments to build trust in AI recommendations.
Research and develop multimodal LLMs and multi-agent systems for embodied AI in robotics, focusing on navigation, manipulation, and task decomposition.
Build next-gen AI systems (chatbots, document validation, voicebots) using TypeScript, React, NestJS, and LLMs to automate insurance transactions.
Develops and maintains government-owned AI infrastructure for machine reasoning, integrating data ingestion, semantic representation, and graph-based fusion. Focuses on building scalable, enduring systems for national defense and government missions.
Leads the development and rollout of a RAG-based knowledge agent, partnering with content providers to secure high-quality data and setting quality standards for retrieval and generation pipelines.
You will scale a secure AI-powered platform using Java, Spring, TypeScript, React, Angular, and AWS, owning builds and contributing to architectural decisions.
Lead the AI-powered engagement system at Calendly, designing ranking, timing, and triggers to build daily user habits without eroding trust.
Design and deploy AI solutions for investment research teams, bridging technical AI capabilities with financial workflows to enhance data-driven insights.
Build a scalable Financial Sync ERP platform for integrating data with accounting systems, using TypeScript, Node, Java, and Kafka.
Deploy Goodfire's AI interpretability platform into customer environments, building production integrations and pilots using Python and ML frameworks like PyTorch to bridge research and production.
Builds core SDKs and backend services in Kotlin to power Speechify’s cross-platform audio-information product, optimizing parsing and loading for millions of users.
Build and scale Speechify’s data ingestion pipeline to collect petabyte-scale audio/text datasets for AI model training, using GCP, Terraform, and Python.
Build and maintain Speechify’s backend services (payments, subscriptions, TTS APIs) using Node.js/TS on GCP, collaborating with AI teams to scale a text-to-speech platform used by 50M+ people.
Build and maintain Speechify’s backend services (payments, subscriptions, TTS APIs) using Node/TS on GCP, collaborating with AI teams to scale a text-to-speech platform used by 50M+ people.
Build and maintain reliability for Cisco’s AI-powered applications by defining SLIs/SLOs, creating LangGraph agents for diagnostics, and developing Looker dashboards on BigQuery/BigTable to ensure feature uptime and self-healing workflows.
Lead the design and deployment of enterprise-scale Generative AI systems using LLMs, RAG, and agentic workflows, while ensuring security and scalability in a regulated financial environment.
Build and deploy production-grade generative and agentic AI systems on Microsoft Azure using Python, FastAPI, and cloud-native tools to automate tax and immigration workflows and back-office processes.
Build and deploy predictive ML and generative AI solutions—including agentic workflows and LLM pipelines—to automate risk, compliance, and governance tasks across JPMorgan Chase’s business processes.
Develops AI-driven enterprise web apps using modern stacks (Java/Python/JS) and cloud services, focusing on clean code, automated testing, and CI/CD while integrating AI tools for productivity.
Lead AI-enabled technology programs at JPMorgan Chase, coordinating cross-functional teams to deliver high-impact projects that align with business goals and leverage GenAI tools.
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