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Vetted Dashboard Development Professionals
Pre-screened and vetted.
Mid-level AI/ML Engineer specializing in risk analytics and MLOps on AWS
Intern Site Reliability Engineer specializing in cloud observability and automation
Junior AI/Machine Learning Engineer specializing in healthcare applications
Senior Software Engineer specializing in backend systems and LLM-powered products
Mid-level Supply Chain Planner specializing in analytics, SAP MRP, and production readiness
Mid-level Quality Assurance Analyst specializing in game testing, compliance, and data-driven QA
Mid-level Software Engineer specializing in aerospace simulation and telemetry
Intern Strategy Analyst specializing in banking, FinTech, and AI-driven corporate strategy
Mid-Level Full-Stack Software Engineer specializing in cloud and scalable web systems
Mid-level Data Scientist & AI Engineer specializing in healthcare and financial risk analytics
Junior Data Scientist specializing in applied machine learning and analytics
Mid-level Data Scientist specializing in ML, NLP, and production AI workflows
Mid-Level Full-Stack Software Engineer specializing in modern web apps and microservices
Junior Front-End/Full-Stack Software Engineer specializing in accessible web applications
Vaishnavi Dangety
Senior Talent Acquisition Operations leader specializing in scalable global recruiting programs
“Recruiting Operations leader who has managed 6–12 person teams and owned the full recruiting ops lifecycle, including ATS governance, reporting, capacity planning, and vendor coordination. Notably redesigned interview scheduling/feedback workflows to cut time-to-fill 25–30% for priority technical roles, reduce candidate drop-off ~20%, and boost recruiter load capacity 15–20% without sacrificing quality; also led an end-to-end CPAL ATS implementation reducing manual scheduling effort by ~40%.”
Sai Haritha Sardena
Mid-level Full-Stack Software Engineer specializing in web, cloud, and AI/ML
“Software engineer with experience at Wipro and Tylmen Tech owning customer-facing onboarding and real-time features end-to-end (React + Spring Boot) and building TypeScript/React apps backed by Node.js microservices (MongoDB, RabbitMQ). Strong in production reliability and fast iteration: feature-flagged rollouts, idempotent APIs/consumers, DLQs, and SLO-driven incident tooling, including an internal QA & release dashboard adopted by engineering and support teams.”
Monique Youmans
Senior Talent Operations leader specializing in recruiting workflows and people systems
“Recruiting/Talent Operations leader who managed 6–12 person teams across two office locations and drove measurable process improvements. Standardized onboarding (cut ramp time by 2–3 weeks) and redesigned interview scheduling to move candidates forward within 24–48 hours, while leveraging Workday/Lever reporting and leading a GoodTime rollout with HR/IT/HRIS.”
Bryan Holland
Executive AI Product & Controls Engineering Leader specializing in agentic video editing and EV systems
“Startup builder (MagicSeven) who designed and implemented a browser-based, agentic video editor end-to-end, including an AWS event-driven multimodal LLM “indexing” pipeline and an orchestration LLM agent for searching and manipulating footage. Demonstrates deep video file/codec knowledge plus practical production hardening of LLM workflows (format validation, plan/execute, S3-based state for debuggability).”
Vigneshwari Shankiri
Senior Java Full-Stack Developer specializing in microservices and cloud platforms
“Frontend engineer who has led enterprise-scale UI delivery end-to-end on a microservices platform, designing modular Angular SPAs (v12-17) tightly aligned to Spring Boot REST APIs. Emphasizes quality and release velocity through layered testing (Karma/Jasmine), CI/CD automation (Jenkins/Azure DevOps), performance tuning with RxJS/lazy loading, and incremental rollouts with close product/design/QA collaboration.”