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Vetted Software Engineers in the Chicago Metro
Pre-screened and vetted in the Chicago Metro.
Intern Data Scientist specializing in ML-driven recommendations and data engineering
Mid-Level Software Engineer specializing in FinTech and cloud-native microservices
Senior Software Engineer specializing in accessibility (Section 508) and test automation
Mid-level AI Engineer specializing in Generative AI and NLP
Mid-level Software Engineer specializing in backend systems and healthcare AI
Mid-level Full-Stack Developer specializing in React and Spring Boot microservices
Senior Software Engineer specializing in cloud-native, HIPAA-compliant platforms
Senior Python Backend Engineer specializing in AWS, APIs, and data pipelines
Senior Backend Engineer specializing in Python microservices, Kubernetes, and streaming systems
Mid-Level Software Engineer specializing in full-stack web, VR, and mobile apps
Lead Software Engineer & Manager specializing in Python and JS/TS full-stack systems
Mid-level Full-Stack Developer specializing in Java/Spring microservices and modern web front ends
Mid-Level Full-Stack Software Engineer specializing in cloud and kiosk applications
Mid-Level Full-Stack Java Developer specializing in Spring Boot microservices and Angular
Senior Software Engineer specializing in cloud-native Java microservices
Sadha Alla
Mid-level Software Engineer specializing in Java microservices and ML model integration
“Backend/ML platform engineer who owns end-to-end delivery of ML-serving APIs (FastAPI + TensorFlow) and runs them reliably on Kubernetes using ArgoCD GitOps. Has hands-on experience solving production-only issues (probe tuning for model warm-up, resource profiling) and building scalable Kafka streaming pipelines, plus supporting phased on-prem to AWS migrations with dependency discovery and recreation of hidden jobs/workflows.”
Harini KanakapuraRavishankar
Mid-level Full-Stack & Integration Engineer specializing in Insurance APIs
“Hands-on engineer focused on taking complex/LLM-style workflows from prototype to production, emphasizing robust error handling, CI/CD + Docker deployment, and deep observability (Kibana/Rancher/Grafana). Experienced customizing client integrations and data transformations (XML/JSON/PDF to SFTP) and debugging agent workflows with traces, prompt verification, and human-in-the-loop safety controls. Partnered with product/ops to drive adoption, including a MuleSoft migration that improved partner onboarding speed by ~50%.”
Dhairya Desai
Senior AI/ML Engineer specializing in healthcare NLP and predictive analytics
“ML/NLP engineer with healthcare and industrial IoT experience: built an Optum pipeline that converted 2M+ physician notes into structured entities and linked them with claims/pharmacy data to create an actionable patient timeline. Deep hands-on expertise in production NER, entity resolution, and hybrid search (Elasticsearch + embeddings/FAISS), plus robust data engineering practices (Airflow, Spark, data contracts, auditability) and experimentation-to-production rollout via shadow mode and feature flags.”
Mid-level Full-Stack Software Engineer specializing in Python and FinTech
Mid-level Software Engineer specializing in Java microservices and event-driven systems