Pre-screened and vetted.
Staff QA & Performance Engineer specializing in mobile, graphics, and AR/VR testing
Mid-level Python Full-Stack Developer specializing in FinTech and ML systems
Executive Technology Leader (CTO/CIO) specializing in cloud, AI, and enterprise transformation
Senior Solution Architect and Engineering Manager specializing in government, FinTech, and cloud platforms
Executive Commerce & Digital Technology Leader specializing in enterprise eCommerce platforms
Executive technology leader specializing in scalable SaaS, IoT, and product engineering
Mid-Level Software Engineer specializing in FinTech, Treasury, and Compliance Systems
Engineering Manager specializing in AI/ML and full-stack product delivery
Mid-level Full-Stack Engineer specializing in cloud-native systems and event-driven architectures
Engineering Manager and Staff Software Engineer specializing in ML platforms and FinTech risk
Mid-level Software Engineer specializing in distributed systems and infrastructure reliability
Mid-level Full-Stack Software Engineer specializing in AWS microservices and web platforms
Principal Software Engineer specializing in distributed systems and cloud microservices
Senior Workday HCM Consultant specializing in HRIS, payroll, and integrations
“Compensation and payroll professional with hands-on ownership of end-to-end U.S. payroll and compensation cycle support. Stands out for using compa-ratio, market benchmarking, and Excel-based reconciliation tools to catch data issues, influence salary decisions, and strengthen payroll controls.”
Senior AI Engineer specializing in LLMs, RAG, and multimodal NLP
“Built a production LLM/RAG assistant for insurance/health claims agents that ingests 100–200 page patient PDFs via OCR (migrated from local Tesseract to Azure Document Intelligence) and delivers grounded claim detail retrieval plus summaries with PII/PHI guardrails. Experienced orchestrating large workflows with Celery worker pipelines and AWS Step Functions (S3-triggered, Fargate-based batch inference/accuracy aggregation), and collaborates closely with non-technical SMEs (claims agents/nurses) through shadowing, iterative demos, and SME-defined evaluation.”
Senior DevOps & Site Reliability Engineer specializing in cloud reliability and observability
“Built and deployed a production AI/ML SRE copilot that uses RAG over real-time Splunk signals plus deployment/runbook data to generate grounded incident summaries and next steps, cutting time-to-contact by 30%. Treats the knowledge corpus like a production dataset (quality gates, semantic chunking, metadata enrichment) and runs golden-dataset automated evals to ensure reliability, while partnering closely with ops/support leaders through discovery sessions and metric-driven demos.”
Intern/Junior Software Engineer specializing in ML, networking telemetry, and full-stack web apps
“Backend-focused engineer with hands-on experience modernizing a legacy SNMP/PNM data collection system at CableLabs into a cloud-accessible Kubernetes pipeline, feeding Prometheus-formatted metrics into VictoriaMetrics and visualizing real-time network health in Grafana for 100+ modems. Also built a FastAPI + Supabase appointment booking portal for a clinic with encryption and phone-number-based auth, and has frontend experience debugging S3-based HEIF image rendering issues.”
Mid-level Software Engineer specializing in AI, data infrastructure, and LLM systems
“Built end-to-end data and automation systems at Sonic SVM, spanning Python/FastAPI/Kafka/Spark ingestion pipelines, warehouse analytics, and Playwright automation for brittle SSO-protected dashboards. Stands out for combining backend/data engineering with strong observability and reliability practices, plus a pragmatic ability to turn messy manual business processes into measurable self-serve workflows.”