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Vetted Batch Processing Professionals
Pre-screened and vetted.
Senior Backend Software Engineer specializing in cloud-native platforms (AWS/Kubernetes)
Mid-Level Backend Engineer specializing in cloud-native distributed systems and data pipelines
Senior Full-Stack Software Engineer specializing in cloud-native platforms and Healthcare IT
Senior Software Engineer specializing in cloud-native distributed systems and AI/ML platforms
Mid-level AI & Machine Learning Engineer specializing in computer vision and MLOps
Mid-level Java Backend Engineer specializing in Financial Services
Mid-level Data Engineer specializing in cloud lakehouse and streaming analytics
Principal Machine Learning Architect specializing in AI platforms and data science
Senior Data Engineer specializing in cloud lakehouse platforms and healthcare data
Mid-Level Software Engineer specializing in backend microservices and cloud-native ML platforms
Mid-level Backend Software Engineer specializing in scalable systems and healthcare workflows
Mid-level Data Engineer specializing in real-time streaming and cloud data platforms
Whitney Stout
Director-level Technology Architect specializing in GTM systems, data, and AI
“Bootstrapped founder of ByteThirst, a launched browser extension and CLI that monitors and estimates the environmental cost of LLM usage. They are targeting a niche climate-tech/AI space with support for 14 platforms, a freemium subscription model, and a first-mover thesis backed by market research, market sizing, and profit projections.”
Anand Madhusoodanan
Executive HR Tech & Salesforce Architect specializing in AI-driven recruiting automation
“Co-founder of an HR tech startup who took an LLM-centered skill intelligence engine from prototype to production to deliver explainable, skill-based resume insights as an alternative to black-box ATS screening. Previously worked in consulting (Deloitte, Stand Up, Brilio), with experience in technical demos/workshops, pre-sales scoping, and supporting large deal cycles (including a ~$1M UK automotive client).”
Aaron Li
Junior AI/ML Engineer specializing in production LLM systems and RAG
“LLM/document AI engineer who owned a production-grade contract extraction pipeline at CORAMA.AI, ingesting PDFs and dynamic JavaScript sites from 1,000+ government sources. Built a hybrid deterministic+LLM system with two-phase prompting, Pydantic guardrails, confidence scoring, and human-in-the-loop review—cutting error rates from ~35% to <5% and processing 50k+ documents at ~95% accuracy. Also built clinician-in-the-loop orchestration in research, reducing manual labeling time from 3–4 hours to ~50 minutes.”
Anu Baluguri
Mid-Level Software Engineer specializing in cloud-native microservices and event-driven systems
“Full-stack engineer with production experience at Atlassian and Zoho, spanning GraphQL federation, React/TypeScript frontends, and cloud-native AWS/Kubernetes operations. Built and operated a federated GraphQL gateway with Terraform + CI/CD + observability, delivering major latency and integration-time improvements, and also designed high-volume Kafka data pipelines (10M+ events/day) with strong reliability guarantees.”
Saiteja Gaddam
Mid-Level Data Engineer specializing in cloud data platforms and streaming analytics
“Data engineer (Intuit) who owned an end-to-end telemetry and subscription analytics platform processing ~22M events/day, built on Kinesis/S3/Glue/Spark/Airflow/Redshift. Strong focus on reliability and data quality (schema drift controls, quarantine layers, idempotent reruns) and performance tuning, achieving a reporting latency reduction from ~15 minutes to under 4 minutes while enabling revenue and churn analytics for business teams.”