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Vetted Real-time Analytics Professionals
Pre-screened and vetted.
Principal AI Systems Engineer specializing in enterprise identity security
Senior Full-Stack Python Engineer specializing in trading and FinTech platforms
Mid-level Full-Stack Software Engineer specializing in FinTech analytics and security
Mid-level Software Engineer specializing in full-stack and distributed backend systems
Principal/Staff Engineer specializing in platform architecture, AI/ML, and distributed systems
Hernan Chalco
Senior Software Engineer specializing in eCommerce payments and integrations
“Solutions/implementation-focused engineer with payments expertise (Adyen headless Magento integrations, 3DS components) who also builds and troubleshoots agentic LLM workflows using the OpenAI Agents SDK. Experienced in pre-sales technical validation and in tailoring live demos/workshops—e.g., pivoted a Quantum Metric workshop from custom JavaScript instrumentation to no-code analytics based on audience needs.”
Ahmed Sadaqat
Senior Machine Learning Engineer specializing in production ML and predictive analytics
“ML/AI engineering leader who has owned end-to-end production systems from experimentation through deployment, monitoring, and iteration at meaningful scale. They describe running a 1M+ records/day prediction platform with 99.9% availability, shipping a RAG-based conversational AI feature for 50,000 active users, and consistently improving precision, latency, reliability, and cost with measurable business impact.”
Marcos Lopez
Senior Full-Stack Engineer specializing in cloud-native web apps and data pipelines
“Backend/data engineer with healthcare/telehealth domain experience, building patient appointment and data-processing systems on AWS. Has delivered production microservices and ETL pipelines (Flask/Celery, Glue/PySpark) with strong reliability/observability practices (JWT, retries/timeouts, Sentry/CloudWatch) and modernization experience migrating SAS workflows to Python services, including a documented 10min→30sec SQL performance win.”
Senior Full-Stack & AI Engineer specializing in LLM applications and cloud platforms
Senior Machine Learning & GenAI Engineer specializing in LLM systems and data pipelines
Executive Platform & Infrastructure Engineering Leader specializing in FinTech SaaS, Cloud, Data & AI
Mid-level Software Engineer specializing in real-time backend systems and FinTech payments
Senior AI/ML Engineer specializing in computer vision, NLP, and real-time forecasting
Senior Software Engineer specializing in cloud platforms, data pipelines, and ML
Senior Data Scientist specializing in large-scale ML systems and recommendations
Executive Software Engineering Leader specializing in AI/ML, cloud platforms, and distributed systems
Mid-level Software Engineer specializing in FinTech backend systems
Kaushik Mukherjee
Executive technology leader specializing in search, ads, and data/AI platforms
“Engineering/technology leader with payments (UPI) scale experience who built fraud and growth systems for tens of millions of daily transactions while keeping CAC and cost guardrails. Scaled an engineering org from 12 to 155 in a year using platform + pod structures, and institutionalized canary deployments with auto-rollback (cutting degradations ~75%) while leveraging GenAI for code and test automation.”
Mid-Level Software Engineer specializing in cloud-native backend systems and FinTech
Senior Full-Stack Engineer specializing in AI-powered SaaS and cloud-native analytics
Senior Full-Stack AI/ML Engineer specializing in cloud data platforms and GenAI