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Vetted MVC Professionals
Pre-screened and vetted.
Mid-Level Software Engineer specializing in AWS serverless and full-stack web development
Executive technology leader specializing in SaaS, cybersecurity, and healthcare IT
Staff Software Engineer specializing in scalable backend systems and observability
Executive technology leader specializing in scalable SaaS, IoT, and product engineering
Engineering Manager and Staff Software Engineer specializing in ML platforms and FinTech risk
Executive digital transformation leader specializing in automation, AI, and cloud strategy
Staff Software Engineer specializing in enterprise SaaS, AI assistants, and distributed systems
Mid-level Python Backend Developer specializing in FinTech and ML-driven fraud detection
Mid-level Full-Stack Software Engineer specializing in AWS microservices and web platforms
Mid-level Full-Stack Developer specializing in AWS modernization and Java/Angular
Sanjanay Reddy
Mid-level Backend Software Engineer specializing in cloud-native microservices
“Product-minded software engineer with experience shipping AI-powered financial insights (spend forecasting, cashflow, credit optimization) and building real-time analytics systems using React/TypeScript and FastAPI. Has designed microservices with RabbitMQ/gRPC and strong observability (Prometheus/Grafana/OpenTelemetry), and also built an internal Figma plugin adopted by designers that reduced export time by 50%.”
Junior Full-Stack Developer specializing in cloud-native microservices
Senior Software Engineer specializing in cloud-native full-stack and FinTech systems
Mid-Level Full-Stack Software Engineer specializing in web apps, cloud, and data visualization
Senior Software Engineer specializing in distributed systems, data platforms, and AI workflows
Principal Salesforce Architect specializing in AI, AWS, and enterprise integrations
Executive IT & Software Development Leader specializing in cloud-native transformation and trading platforms
Chetana Reddy Yellareddy
Mid-Level Software Engineer specializing in distributed systems and cloud-native platforms
“Backend/AI engineer who built and scaled an internal AMD semiconductor manufacturing microservice platform (SMR), reworking a synchronous lot-request workflow into an event-driven RabbitMQ/Celery/FastAPI pipeline. Diagnosed and fixed peak-load reliability issues using deep observability and Kubernetes autoscaling, cutting notification latency back to sub-second and reducing duplicates via idempotency/DLQs. Also shipped an LLM-powered natural-language search with schema-constrained JSON outputs and guardrails, plus a plan-execute-verify Jira bug-resolution agent that can propose fixes and raise PRs under restricted permissions.”