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Vetted Azure App Service Professionals
Pre-screened and vetted.
Mid-level Software Engineer specializing in real-time backend systems and FinTech payments
Senior Full-Stack Software Engineer specializing in cloud-native web applications
Senior Full-Stack AI/ML Engineer specializing in cloud data platforms and GenAI
Senior Full-Stack Engineer specializing in AI/ML, LLMs, and RAG systems
Junior Frontend Software Engineer specializing in React, TypeScript, and performance optimization
Mid-level Software Engineer specializing in backend systems, billing, and real-time data pipelines
Senior Azure DevOps Engineer specializing in cloud architecture, IaC, and DevSecOps
Senior DevOps Engineer specializing in Azure/AWS cloud infrastructure and CI/CD
Mid-level Software Engineer specializing in robotics, AI, and full-stack systems
Mid-level AI/ML Engineer specializing in LLMs, RAG pipelines, and MLOps
Mid-Level Software Engineer specializing in FinTech payments and risk platforms
Mid-level Backend Software Engineer specializing in FinTech payments, risk, and real-time systems
Senior Full-Stack Engineer specializing in cloud-native microservices and AI/LLM integrations
Senior Software Engineer specializing in scalable cloud microservices and AI integration
Mid-level Full-Stack Developer specializing in Java Spring Boot microservices
Senior .NET Developer specializing in cloud-native microservices for healthcare and FinTech
Mid-level AI/ML Engineer specializing in LLM RAG pipelines and cloud MLOps
BHARGAV KODURU
Mid-level Full-Stack Software Engineer specializing in cloud microservices and AI integration
“Backend/distributed-systems engineer with Uber experience building real-time telemetry and safety signal pipelines. Strong in Kafka-based event-driven architectures, low-latency processing under peak load, and production reliability via monitoring, retries, and fallback logic; has Docker/Kubernetes and CI/CD deployment experience.”
Muhan Zhang
Junior AI Software Engineer specializing in LLM pipelines, OCR, and RAG
“Built and shipped a production LLM pipeline for nursing home Medicare reimbursement (PDF OCR + fact extraction + keyword RAG + QA) that reportedly increased payouts by ~$1K/month per patient. Strong in LLM ops/benchmarking (ground truth, LLM-as-judge, cost/I-O tracking) and pragmatic optimization—swapped retrieval approaches, fine-tuned a small model to cut OCR cost 90%, and migrated workloads to Azure/Temporal to scale nightly processing 10x.”
KARTHIKBABU VADLOORI
Mid-level Full-Stack Developer specializing in Spring Boot, React, and cloud microservices
“Backend engineer with experience at Meta and Accenture building regulated-data systems (healthcare/financial) using Python/Flask and Postgres. Has scaled high-throughput services to millions of daily requests, delivering measurable latency wins (~40% API latency reduction; ~35% faster DB-backed endpoints), and has productionized ML inference services using Docker/Kubernetes and AWS (ECS/SageMaker).”