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Staff Software Engineer at FloQast designing the core platform for Transform, an AI-powered hub where accountants build and deploy no-code agents to automate workflows using Go, Node.js, MongoDB, and AWS.
Build production-grade AI systems and data pipelines end-to-end, owning schema design, ETL, FastAPI/Next.js apps, and cloud deployments on AWS/Azure.
Staff engineer owns a live patient-facing clinical product: a React/TypeScript widget, a clinician portal, and a Python service layer, plus internal tools. Works closely with AI engineers to align application and model development while mentoring junior engineers.
Principal engineer leading backend platforms and service domains for a large-scale business lending platform, using AWS, microservices, and event-driven architectures to build secure, resilient systems that power digital lending at scale.
Builds and maintains scalable data pipelines using Airflow, dbt, and AWS Athena, optimizing performance and cost for analytics.
Build benchmarking, forecasting, and data-analysis systems for Apple’s AI inference platform to optimize performance and capacity at massive scale.
Build AI-native internal tools and automations using Next.js, Supabase, and Claude Code to streamline Koin’s multi-brand e-commerce operations and drive efficiency across departments.
Build and own a production multi-agent AI system that automates research, content, and business workflows using Python, LLM APIs, RAG, and cloud infrastructure.
Build and maintain Java-based microservices and integration services for Scotiabank’s fraud and claims platform, using Spring Boot, REST, Docker, and optionally Camunda workflows.
Build and maintain large-scale backend services and data pipelines for paid marketing systems, integrating ad platforms like Google Ads and Meta to optimize global hotel and app campaigns.
Build and deploy LLM-powered assistants, RAG apps, and AI agents on enterprise platforms like ChatGPT Enterprise and AWS, using Python, TypeScript, and cloud-native tools.
Architect and lead the ServiceNow-based enterprise workflow automation platform, integrating core systems and managing a development team to ensure scalability, security, and alignment with business needs.
Data Engineer builds and validates cloud data pipelines on AWS/Snowflake using DBT and Airflow, with Informatica IICS, for a global pharma client’s commercial vaccines project.
Build and own scalable ETL/ELT pipelines and analytics layers in a modern data stack, transforming raw data into reliable insights for business decisions.
Build and maintain Azure Synapse-based data pipelines, integrate third-party systems, and design optimized data models for analytics and reporting.
Senior Data Engineer builds secure, scalable pipelines and cloud data infrastructure to power real-time analytics and ML models for a cleantech firm optimizing energy storage and costs.
Build and maintain scalable data pipelines using Snowflake, Prefect, and Python to support AI-driven investment strategies for institutional clients.
Build and maintain Affirm’s scalable batch-infrastructure platform to run ML, financial, and product workloads reliably on AWS, Kubernetes, and workflow orchestrators like Airflow.
Build and run AI-driven marketing campaigns for n8n’s open workflow orchestration platform, owning multi-channel activation and pipeline generation.
Builds and maintains scalable data pipelines and warehouse infrastructure in AWS/Azure to power reporting and analytics for a healthcare data collaboration platform using Python, SQL, dbt, and Airflow.
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