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Vetted Event-Driven Architecture Professionals
Pre-screened and vetted.
Santhana Parthasarathy
Executive Engineering Leader specializing in SaaS, Security/Identity, and AI/ML
“Engineering leader (ActiveCampaign, Yalo) with a track record of scaling both systems and orgs: grew an engineering team from 90+ to 200+ (30+ scrum teams) while re-architecting a marketing automation platform from batch to near real-time. Led major infrastructure shifts (RabbitMQ to Kafka, multi-region redundancy) and reports outcomes including 600%+ throughput gains, 99.99% uptime, and business growth from ~80K to 185K customers with revenue surpassing $200M over ~3 years.”
Kusumita Dasgupta
Director-level Engineering Leader specializing in data platforms, cloud systems, and LLM products
“Engineering leader/player-coach with recent hands-on work delivering an agentic AI MVP on Amazon Bedrock (conversational UI + supervisor agent routing between internal knowledge and external sources). Previously drove large-scale data platform cost optimization at Twitter, saving ~$3M–$5M annually, and has owned production incidents end-to-end with a focus on analytics/monitoring improvements and team coaching.”
Harish Kasu
Mid-level AI/ML Engineer specializing in Generative AI, RAG, and MLOps
“AI/LLM engineer with production experience at NVIDIA and Microsoft, including building a RAG-based enterprise knowledge assistant that improved accuracy by 42% and scaled to thousands of queries. Deep in inference optimization (TensorRT-LLM, Triton, quantization, speculative decoding) and MLOps/observability (Prometheus/Grafana, MLflow, LangSmith), plus orchestration with Kubeflow/Airflow across multi-cloud.”
Gabriel Undrerwood
Engineering executive specializing in production ML systems and enterprise SaaS
“Engineering/data platform leader from FLYR (airline ML forecasting and automated pricing) who built scalable ingestion/ETL and a canonical data model to onboard airlines with highly heterogeneous source systems. Created a golden-metrics layer for airline KPIs and implemented monitoring/backfill capabilities, cutting onboarding time by 50%+ while improving SLA performance and controlling cloud/ML training costs through stronger data quality gates.”
Mid-Level Software Engineer specializing in cloud-native backend systems and FinTech
Senior Software Engineer specializing in cloud microservices, payments, and analytics
Senior Backend Engineer specializing in Python workflow orchestration and automation
Senior Full-Stack Software Engineer specializing in cloud-native microservices and AI platforms
Senior Full-Stack AI/ML Engineer specializing in cloud data platforms and GenAI
Staff Software Engineer specializing in FinTech platforms and distributed systems
Senior Software Engineer specializing in cloud-native distributed systems
Staff Software Engineer specializing in commerce, checkout, and payments platforms
Senior Software Engineer specializing in Python, APIs, and cloud-native integrations
Staff Full-Stack Engineer specializing in data engineering and real-time event platforms
Senior Full-Stack Engineer specializing in cloud platforms, AI/ML, and blockchain
Senior Full-Stack Engineer specializing in cloud, real-time data, and web platforms
Senior Software Engineer specializing in cloud platforms, healthcare imaging, and scalable APIs
Senior Software Engineer specializing in healthcare imaging and FinTech systems
Staff Full-Stack & Platform Engineer specializing in cloud-native distributed systems
Director-level Engineering Leader specializing in distributed systems, cloud platforms, and developer APIs
Senior Full-Stack Software Engineer specializing in Telehealth and FinTech
Senior Software Engineer specializing in FinTech payments and scalable platforms