.png){kind=logo}
Vetted Azure Functions Professionals
Pre-screened and vetted.
Senior Software Engineer specializing in GenAI, RAG, and multi-tenant SaaS platforms
Mid-Level Software Engineer specializing in FinTech, treasury systems, and real-time data pipelines
Mid-level Full-Stack Software Engineer specializing in AI-driven web applications
Mid-level Full-Stack Developer specializing in cloud-native apps, AI/ML, and microservices
Junior Software Engineer specializing in backend systems and cloud messaging
Staff-level Software Engineer specializing in Unity real-time and cloud multiplayer systems
Senior Software Engineer specializing in cloud-native healthcare and financial services
Mid-level Full-Stack Engineer specializing in Python microservices and cloud automation
Senior Data/GenAI Engineer specializing in cloud-native ML, RAG, and real-time data platforms
Entry-Level Software Engineer specializing in backend systems and cloud messaging
Senior Software Engineer specializing in data engineering, BI analytics, and AI/ML
Nehal Mahankali
Mid-level Full-Stack Python Developer specializing in cloud-native banking applications
“Backend engineer who built a low-latency real-time transaction API in Python/Flask, with strong depth in PostgreSQL/SQLAlchemy performance tuning (time-based partitioning, indexing, connection pooling). Has production experience integrating ML scoring and OpenAI-style APIs with safety/latency controls, and designing multi-tenant isolation strategies including per-tenant pooling/caching and premium-tenant isolation.”
Sriram Rajaraman
Senior Infrastructure Platform Architect specializing in Kubernetes and hybrid cloud
“Platform/infra engineer with strong ownership of Kubernetes on VMware and day-to-day hybrid on-prem-to-AWS operations. Has hands-on experience automating infrastructure delivery with Terraform/Ansible/CI-CD, and has resolved real production issues spanning CSI storage reattachment during upgrades, vSphere storage-latency performance degradation, and hybrid connectivity/routing failures with improved validation, monitoring, and failover.”
Rafeeq Mohammad
Mid-level Full-Stack Java Developer specializing in FinTech and Healthcare IT
“Backend engineer with experience at JPMorgan Chase and Walgreens, owning transaction-processing and prescription data flow systems in regulated environments. Brings strong hands-on depth in Spring Boot microservices, Kafka, Redis, Kubernetes, observability, and production incident resolution, plus practical experience integrating OpenAI-powered workflows with validation and fallback safeguards.”
Vasanthi Koya
Senior Full-Stack/Data Engineer specializing in cloud data pipelines for legal and financial platforms
“Data/analytics engineer who built and operated a DocuSign-based real-time analytics platform end-to-end, processing 20–50k webhook events/day with ~99.5% reliability. Strong in idempotent event processing, schema-evolution-safe ingestion (raw JSON + dynamic parsing), and serving data via versioned, low-latency REST APIs with solid CI/CD and observability.”
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%.”