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Vetted Azure Functions Professionals
Pre-screened and vetted.
Mid-level Full-Stack Software Engineer specializing in cloud-native healthcare and FinTech systems
Mid-level Machine Learning Engineer specializing in MLOps and Generative AI
Mid-Level Full-Stack Software Developer specializing in Healthcare IT and FinTech
Mid-level Full-Stack Java Developer specializing in cloud-native microservices
Mid-level Full-Stack .NET Developer specializing in Angular, Azure, and AI integrations
Senior .NET Developer specializing in cloud-native microservices and modern web apps
Senior Full-Stack Developer specializing in Python, Django, React, and cloud-native SaaS
Shreevershith Kollabettu
Mid-level AI Engineer specializing in LLMs, agentic systems, and MLOps
“AI-focused engineer with Infosys experience building Azure/.NET chatbot applications and recent hands-on work with FastAPI/LangChain. Built a hackathon multi-agent legal counsel system showcasing agent orchestration, and emphasizes production readiness via Docker, GitHub Actions CI/CD, pytest automation, and adversarial simulations for auditable AI behavior. No direct robotics/ROS experience to date.”
Mid-level Backend Software Engineer specializing in Java microservices and Azure cloud
Mid-level Software Engineer specializing in FinTech and scalable backend systems
Senior .NET Full-Stack Developer specializing in cloud-native microservices
Executive Engineering Leader specializing in Product, Mobile, and SaaS platforms
Sravani Gangaraju
Mid-level AI/ML Engineer specializing in NLP, computer vision, and recommender systems
“Built and deployed a production NLP sentiment analysis system at Piper Sandler to turn noisy, finance-specific customer feedback into scalable insights. Demonstrates strong end-to-end MLOps: fine-tuning BERT, improving label quality, monitoring for language drift, and automating retraining/deployment with Airflow and Docker (plus Kubeflow exposure).”
Malli Karjuna
Mid-Level .NET Full-Stack Developer specializing in cloud-native web applications
“JavaScript engineer with open-source library contribution experience, including diagnosing a validation-related bug, shipping a tested fix, and improving documentation with practical examples and edge-case guidance to reduce repeated community questions. Emphasizes profiling-driven performance work, small safe refactors, and proactive ownership in fast-moving, unstructured teams.”
Sai Krishna mekala
Mid-level Full-Stack Software Engineer specializing in cloud microservices and AI search
“Robotics software engineer focused on backend/integration for indoor autonomous mobile robots, with hands-on ROS 2 experience integrating Nav2/AMCL/TF2 and LiDAR/camera pipelines. Emphasizes production readiness—robust failure recovery, QoS-tuned distributed communication, and strong observability (logging/health checks)—validated through Gazebo simulation, sensor-data replay debugging, and Docker-based CI/CD deployment.”
Mid-level Backend Software Engineer specializing in Java microservices and cloud platforms
Mid-level Software Development Engineer specializing in FinTech and digital asset platforms
Senior Cloud DevOps/SRE Engineer specializing in Azure and Kubernetes
Mid-level Machine Learning Engineer specializing in LLMs, Generative AI, and MLOps
Senior QA Automation Engineer (SDET) specializing in Python, Playwright, and API testing
Mid-level Full-Stack Software Developer specializing in cloud microservices and healthcare interoperability
Priyanka Ramesh
Junior Full-Stack Software Engineer specializing in Java/Spring Boot and React
“Backend engineer (IpserLab) who owned Python services for a production quiz/analytics platform, focusing on reliability and low-latency behavior under peak load. Hands-on with Kubernetes + Docker deployments and GitHub Actions CI/CD in a GitOps-style workflow, including solving configuration drift and enabling fast rollbacks. Also implemented Kafka-based event streaming with idempotent consumers and strong observability (lag tracking, structured logging, alerting).”