Vetted Ruby Professionals

“Data engineer focused on reliable, scalable analytics pipelines and external data collection. Has owned end-to-end pipelines processing 5–10M records/day, serving Snowflake data marts to Power BI/Tableau, and reports ~99% reliability through strong validation/monitoring. Also shipped versioned REST APIs for curated data with query optimization and caching.”

Supreet Purthpli

Screened

Mid-level AI/ML Software Engineer specializing in cloud-native MLOps and FinTech

San Francisco, CA4y exp

“Software engineer with JPMorgan Chase experience delivering end-to-end fintech features (Next.js/React/Node/Postgres on AWS) and measurable performance gains. Built and productionized an AI-native credit decisioning workflow combining LLMs, vector retrieval, and a rules engine with strong governance (bias checks, auditability, human-in-loop), improving precision and cutting underwriting turnaround time by 40%.”

“ML practitioner with hands-on experience in healthcare time-series modeling (CGM-based blood glucose prediction) including a novel ICA-based blind source separation approach and robust data-cleaning for noisy, missing sensor data. Also built an embeddings + LLM-powered podcast recommendation workflow using YouTube transcript scraping and Vellum AI document indexing, with a strong emphasis on production-grade engineering practices (TDD, monitoring) and realistic rolling validation for forecasting.”

Weston Carpenter

Screened

Mid-level Backend Software Engineer specializing in distributed systems

San Francisco, CA6y exp

“Technical/presales engineer with experience at Grubhub and Appen, spanning LLM-adjacent data labeling workflows and production AI troubleshooting. Built an integrations platform at Grubhub and has hands-on experience diagnosing prompt-related AI failures via Splunk, adding JUnit tests and logging to prevent recurrence. Known for shipping customer-specific workflow adaptations (e.g., OCR annotation coordinate transformations for crop/rotation) while keeping timelines intact through iterative delivery and parallelization.”

Luis Aragon

Screened

Senior Software Engineer specializing in data infrastructure and distributed systems

San Francisco, CA6y exp

“Software engineer working on agentic AI SMS customer engagement flows and a Customer Data Profile service that unifies journey data across SMS/web/calls while enforcing precise consent management. Has hands-on production operations experience, including recovering a reporting-critical Elasticsearch outage by standing up a new cluster in Kubernetes, restoring from snapshots, and rewinding Kafka consumers to reprocess missed data.”

Christopher Schmitt

Screened

Executive Technology Leader specializing in FinTech & SaaS platforms

Atlanta, GA29y exp

“Startup-oriented technology leader with 13 years in early-stage environments, including serving as CTO through Series A and Series B fundraising. Has direct experience presenting to investors and a board of advisors, and is especially motivated by taking products from idea to first sale and scaling them into real businesses.”

Sai Sreenath Kalva

Screened

Mid-level Full-Stack Software Engineer specializing in AI and Healthcare IT

Rosemead, CA5y exp

“Full-stack engineer with strong AI architecture experience in regulated healthcare environments, including a HIPAA-compliant conversational reporting assistant for LA County Department of Public Health and clinical workflow features for Oracle Health/Cerner PowerChart. Stands out for combining LLM/RAG system design, healthcare compliance, and production-grade reliability practices across Azure, AWS, and Kubernetes.”

“Frontend-leaning full-stack engineer with experience building real-time, high-stakes operational software for airport gate management and billing/analytics systems. Stands out for combining strong React/TypeScript architecture with backend and data-layer ownership, including WebSockets, SQL optimization, and analytics feature delivery in production.”

Michael Boaz

Screened

Senior Software Developer specializing in cloud-native and event-driven architecture

Atlanta, GA24y exp

“Built and shipped production LLM/agent systems on AWS for internal developer support and IT observability use cases, including a Claude-based support tool grounded in internal documentation and a cost-optimized ServiceNow integration. Stands out for combining agent design, cloud architecture, CI/CD, chaos testing, and observability to make non-deterministic systems reliable and maintainable in production.”

“Full-stack engineer focused on AI-powered enterprise document automation, especially transforming unstructured financial documents into structured outputs. Stands out for treating LLMs and agents as components within robust production systems, with emphasis on validation, security, observability, and scalable multi-agent architecture.”

Saikrishna Chandhrasekhar

Screened

Entry-Level Software Engineer specializing in systems, web development, and applied cryptography

College Station, TX

“Worked on CI/CD for a project called NXTFolio, including writing acceptance tests in Cucumber. Also collaborated with customers/operators via weekly check-ins to understand needs and align technical work to requirements.”