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Vetted Engineering Professionals
Pre-screened and vetted.
Popular Titles
Senior Quality Assurance Professional specializing in web/mobile analytics and game QA
Mid-level Java Full-Stack Developer specializing in microservices and cloud platforms
Senior Full-Stack Engineer specializing in cloud-native Java microservices and GenAI
Mid-level Full-Stack Engineer specializing in AI-powered enterprise applications
Senior Full-Stack Java Developer specializing in microservices and Healthcare/FinTech systems
Mid-level Backend Software Engineer specializing in data platforms and reporting
Senior QA/Test Lead specializing in enterprise commerce platforms and order-to-cash automation
Mid-level Full-Stack Engineer specializing in Java (Jakarta EE) and React/Angular
Senior Full-Stack Developer specializing in cloud-native microservices (AWS)
Senior RPA Developer/Analyst specializing in UiPath automation and enterprise integrations
Senior DevOps & Cloud Engineer specializing in Azure/AWS Kubernetes platform engineering
Senior Front-End Engineer specializing in React platforms and web experiences
Mid-level Full-Stack Software Engineer specializing in enterprise healthcare and telecom
Satya Kumar Itekela
Senior Frontend Engineer specializing in high-performance React/Next.js web apps
“Frontend engineer with experience at Autodesk and Quantify, leading and scaling Next.js/React + TypeScript products from architecture through QA. Strong focus on performance (Core Web Vitals, ISR, caching/CDN) and real-time interfaces (WebSockets, Chart.js/D3), with measurable wins like 30–40% bundle reduction and ~60% less data overfetching using GraphQL/Apollo.”
Deeksha V
Mid-Level Software Engineer specializing in cloud data platforms and FinTech payments
“Backend engineer focused on financial systems, having evolved payments and reconciliation platforms using Python/FastAPI and PostgreSQL with an emphasis on idempotency, validation, and consistency. Has led monolith-to-services migrations using feature flags and shadow traffic, and implements defense-in-depth security (OAuth2/JWT plus DB-level row security) for multi-tenant environments.”
Cheryl Fernandes
Senior Full-Stack AI Engineer specializing in enterprise workflow and LLM systems
“Cheryl Fernandez is a frontend/platform engineering leader who has built complex real-time products in highly regulated healthcare and enterprise investigation environments. She combines deep React/TypeScript and streaming architecture expertise with cross-functional ownership across APIs, infrastructure, device behavior, and product strategy, including modernizing FDA-audited remote patient monitoring systems and adding AI-assisted workflows at EY.”
KrishnaVarshith Pabbisetty
Mid-level Backend Software Engineer specializing in Spring Boot, microservices, and cloud-native AI
“Backend engineer with experience modernizing a large-scale procurement platform at Jio Platforms by breaking a monolith serving 35 business units into Spring Boot microservices, improving uptime and cutting report latency ~30%. Also built high-concurrency FastAPI systems (200ms at ~500 concurrent users) with strong security (JWT/OAuth2/RBAC), event-driven Kafka integrations, and reliability patterns like exactly-once delivery for ~1M monthly triggers.”
THAMES HARRISON
Engineering Manager specializing in enterprise SaaS, cloud architecture, and AI/ML
“Senior engineering manager who stays hands-on (~50/50) while leading teams through design reviews, code reviews, and production issue triage. Shipped scalable platform features (notifications, user action tracking via microservices) with strong quality/performance practices (TDD, high-load testing). Owned a complex cross-system SSO/IdP incident end-to-end, identifying a SameSite+iFrame root cause and delivering a configurable product fix plus support documentation.”
Rafael Ortega
Senior Full-Stack & AI Engineer specializing in LLM integrations and cloud-native systems
“Backend/data engineer with hands-on production experience building FastAPI Python APIs and AWS-native platforms (Lambda/API Gateway, SQS, ECS Fargate) with Terraform + GitHub Actions CI/CD and strong reliability practices (JWT/RBAC, retries/timeouts, structured errors/logging). Also built AWS Glue ETL pipelines (S3/RDS to curated S3/Athena) with schema evolution and data quality controls, modernized legacy processing via parallel-run validation and phased cutovers, and has demonstrated SQL tuning impact (seconds to <200ms) plus incident ownership for batch pipeline SLAs.”