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Vetted Software Engineers in Illinois
Pre-screened and vetted in Illinois.
Mid-Level Software Engineer specializing in backend systems, data pipelines, and cloud security
Senior Full-Stack Engineer specializing in accessible web apps and micro-frontends
Executive technology leader specializing in digital transformation for financial services
Junior software engineer specializing in backend systems and machine learning
Mid-Level Software Engineer specializing in Java/Spring microservices and cloud platforms
Director-level software engineering leader specializing in Azure cloud and full-stack architecture
Mid-level Full-Stack Engineer specializing in Java, React, and enterprise platforms
Junior Full-Stack Software Engineer specializing in video streaming and ML pipelines
Mid-Level Software Developer specializing in backend platforms, streaming data, and cloud
Mid-level Full-Stack Software Engineer specializing in FinTech and cloud-native microservices
Mid-level AI Engineer specializing in developer productivity and API security
Mid-level Front-End Software Engineer specializing in React and TypeScript
Senior Data Science & Machine Learning Engineer specializing in credit risk and predictive analytics
Mid-level Full-Stack Engineer specializing in iOS, web, and distributed systems
Senior Full-Stack Java Developer specializing in Financial Services and Healthcare IT
Andres Pegado Boureghida
Engineering executive specializing in cloud-native SaaS for data-intensive, regulated domains
“Former CTO at Enodo who led development of programmatic parsers to extract unstructured data from real-estate financial documents (rent rolls and T12s), validating with users via prototypes before productionizing. Emphasizes accuracy-driven engineering and scalable test-suite growth based on real user samples, and has experience scoping complex product ideas (e.g., browser-based narrative editor) down to an MVP.”
Shirisha K
Mid Software Engineer specializing in backend microservices and FinTech systems
“Full-stack engineer with experience shipping analytics dashboards and an AI-driven support assistant for a cloud analytics platform. They combine Java/Spring Boot backend work with TypeScript frontend development and showed practical knowledge of LLM production concerns like retrieval grounding, latency, caching, retries, and graceful fallbacks. Their shipped dashboard feature improved load times by 35-40% and reduced support issues tied to delayed analytics.”
Sri Tenali
Mid-level Software Engineer specializing in FinTech backend systems
“Built and deployed an AI-driven expense categorization workflow integrating OpenAI API and PGVector to automate general ledger coding. Stands out for combining LLM/embedding architecture with finance operations context, stakeholder-facing deployment ownership, and measurable impact of roughly 30%+ reduction in manual coding effort.”