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Vetted MongoDB Professionals
Pre-screened and vetted.
Senior AI/ML Engineer specializing in Generative AI and Computer Vision
Senior Cloud Security Engineer specializing in AWS and Azure security architecture
Mid-level Software Engineer specializing in AI, data engineering, and cloud systems
Intern AI/Backend Engineer specializing in LLM agents and cloud microservices
Mid-Level Backend Software Engineer specializing in distributed systems and observability
Mid-level SDET / QA Automation Engineer specializing in API and UI test automation
Junior Full-Stack/Cloud Engineer specializing in AI and data-driven applications
Senior Backend Engineer specializing in cloud-native microservices and secure APIs
Mid-level AI/ML Product & Solutions Specialist specializing in GenAI and MLOps
Mid-Level Software Engineer specializing in AI systems and full-stack development
Mid-level Machine Learning Engineer specializing in LLMs, multimodal AI, and backend systems
Principal Data Scientist specializing in AI/ML forecasting and MLOps
Mid-level QA Engineer specializing in manual and automation testing for web, mobile, and APIs
Veerash Palanichamy
Mid-level Robotics Software Engineer specializing in ROS2 and medical microrobotics
“Robotics software engineer with ~7 years of ROS/ROS2 experience spanning Mars rover simulation/navigation, robot arm integration (URDF/MoveIt/ros2_control), and medical magnetic actuation systems using RGB-D feedback. Built a 5-DOF CNC-like magnetic capsule navigation prototype end-to-end and has deep hands-on skill debugging real-time control issues (CAN, encoder timing, controller tuning) plus PLC/Modbus-to-ROS2 integration.”
Viraj Paresh Shah
Mid-Level Full-Stack Software Engineer specializing in cloud-native APIs and compliance
“Full-stack/backend engineer with healthcare and enterprise experience: built and secured AWS-hosted services for a clinical EHR product that redacts/transforms hospital patient records for pharma customers (e.g., AstraZeneca, Johnson & Johnson). At Cisco, led an incremental Ruby-to-Python/Django migration for a compliance backend, and has deep multi-tenant security experience using Postgres RLS tied to JWT plus DLQ patterns to harden data pipelines.”
Harbir Dhillon
Mid-level Software Engineer specializing in distributed systems and cloud-based full-stack development
“Software engineering candidate who built a compiler-like Python tool to translate between Python code and UML-style diagrams (and back). Also has hands-on AWS experience building a distributed pub/sub system using services like Lambda, API Gateway, ELB, WAF, VPC, and DynamoDB, plus ML projects using Kaggle datasets (e.g., diabetes risk analysis).”
Sunil Chinthaparthi
Mid-level Python Developer specializing in AWS microservices and cloud automation
“Backend engineer focused on Python/FastAPI microservices running on Kubernetes (AWS EKS) with strong GitOps/CI/CD ownership (GitHub Actions + ArgoCD). Demonstrated measurable performance wins (p95 latency cut from >1s to <200ms) and production reliability work across Kafka/Redis streaming and cloud-to-on-prem migrations (RDS/S3 to Postgres/MinIO) using parallel validation and checksum-based consistency checks.”
NEHA KOLAN
Mid-Level Software Engineer specializing in microservices and cloud data pipelines
“Full-stack engineer with end-to-end ownership across React/TypeScript frontends, Spring Boot/Node microservices, and production ops on Docker/Kubernetes and AWS (ECS/CloudWatch). Built real-time healthcare eligibility and analytics systems at Cigna and an early-stage seller onboarding platform at Flipkart, driving measurable performance gains (35–40% latency/throughput improvements) through event-driven Kafka pipelines, Redis caching, and strong reliability/observability practices.”