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Vetted Azure Functions Professionals
Pre-screened and vetted.
Mid-Level Software Engineer specializing in FinTech payments and risk platforms
Mid-Level Systems Software Engineer specializing in distributed databases and data infrastructure
Mid-level Backend Software Engineer specializing in FinTech payments, risk, and real-time systems
Senior Software Engineer specializing in scalable cloud microservices and AI integration
Principal AI Architect specializing in GenAI, agentic systems, and RAG
Senior Full-Stack Engineer specializing in cloud-native SaaS and AI/ML integration
Senior Full-Stack Engineer specializing in cloud-native AI and healthcare platforms
Senior .NET Developer specializing in cloud-native microservices for healthcare and FinTech
Mid-level Full-Stack Java Developer specializing in cloud and healthcare systems
Senior AI/ML Engineer specializing in healthcare LLMs and conversational AI
Senior Full-Stack Engineer specializing in cloud platforms and applied AI
Senior Software Engineer specializing in cloud, data platforms, and LLM/RAG applications
Senior Software Engineer specializing in cloud-native systems and Generative AI
Sanskar Gupta
Mid-level Full-Stack Developer specializing in Java/Spring Boot, React, and cloud microservices
“Backend engineer with hands-on experience building Python/Flask microservices using PostgreSQL/SQLAlchemy, JWT auth, Docker, and GitHub Actions CI/CD. Strong in performance and scalability work—migrated heavy processing to Celery/Redis, tuned queries with EXPLAIN ANALYZE and indexing, and delivered 50%+ API latency reduction. Also integrates AI workflows (OpenAI APIs) with batching/caching/fallbacks and has implemented multi-tenant data isolation patterns.”
Pavanika Thotakura
Senior Data Engineer specializing in cloud big data pipelines and real-time streaming
“Amazon data engineer who built a real-time fraud detection pipeline for AWS Lambda, tackling multi-region telemetry quality issues and scaling stream processing for billions of daily requests. Strong in production-grade data/ML workflows on AWS (EMR, Glue, Kinesis, SageMaker) with hands-on entity resolution and anomaly detection.”
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.”
Chanakya rudru
Senior Machine Learning Engineer specializing in conversational AI and Generative AI
“ML/AI engineer with experience at Uber and Scale AI, focused on customer service automation across both classical NLP and generative AI systems. Has owned systems from experimentation through production on AWS, including LLM fine-tuning, RAG optimization, safety evaluation, and internal Python platform tooling that improved consistency and engineering velocity.”