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Vetted MongoDB Professionals
Pre-screened and vetted.
Senior Business Analyst / QA Lead specializing in cloud, security, and enterprise testing
Senior Full-Stack Software Engineer specializing in React and scalable web applications
Junior QA Analyst specializing in telecom testing and data-driven insights
Mid-level Full-Stack Software Engineer specializing in cloud backends and applied AI
Senior Full-Stack Engineer specializing in Python and AWS-native application development
Senior Full-Stack Software Developer specializing in enterprise web and mobile apps
Senior Software Engineer / DevOps specializing in cloud-native distributed systems
Mid-level Software Engineer specializing in FinTech and scalable backend systems
Senior .NET Full-Stack Developer specializing in cloud-native microservices
Mid-level AI/ML Engineer specializing in financial risk, NLP, and MLOps
Director-level Mobile & Full-Stack Software Engineer specializing in Android and cloud-native apps
Mid-level QA Automation Engineer specializing in healthcare test automation and DevOps
Senior Data Engineer specializing in AWS-based data pipelines and multi-tenant SaaS
Mid-Level Full-Stack Java Developer specializing in Spring Boot, React, and AWS
Executive Engineering Leader (CTO/SVP) specializing in high-load platforms and GenAI/LLM systems
Junior Software Engineer specializing in backend systems, QA automation, and AI/ML
Executive Engineering Leader specializing in Product, Mobile, and SaaS platforms
Senior Full-Stack Java Developer specializing in AWS cloud and microservices
Chathrapathi Nikhil Kandagatla
Mid-level Full-Stack Software Engineer specializing in React/Node and cloud-native web apps
“Full-stack engineer who built and iterated a CRM dashboard at ReplyQuick by sitting with end users, prioritizing blockers, and shipping frequent updates—improving usability and performance enough to replace a spreadsheet workflow within ~2 months. Demonstrates strong security fundamentals (OAuth2/JWT + RBAC) and practical microservices experience (decoupling a CRM API from a PDF-processing service via async processing and status tracking).”
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).”
Ravali Yerrapothu
Senior Machine Learning Engineer specializing in LLMs, RAG, and Computer Vision
“Built a production LLM-powered clinical note summarization and retrieval system that structures patient/provider/payer discussions into standardized outputs (symptoms, treatments, clinical codes, and prior-auth decisions) and stores notes as embeddings for hybrid search and proactive prior-authorization prediction. Experienced with LangChain/LangGraph orchestration, RAG, and grounding against medical code databases, and has communicated model feasibility/limitations to business stakeholders (Virtusa/Comcast).”