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Vetted Django Professionals
Pre-screened and vetted.
Mid-Level Full-Stack Software Engineer specializing in Python/Java microservices and cloud
Senior Applied AI Engineer specializing in LLMs, NLP, and production AI systems
Senior Python Developer specializing in AI/ML and cloud-native microservices
Senior Software Engineer specializing in cloud-native distributed systems
Senior Software Engineer specializing in Python, APIs, and cloud-native integrations
Senior Software Engineer specializing in cloud-native healthcare platforms
Senior Full-Stack Engineer specializing in AI, Web3, and scalable web platforms
Principal/Senior Full-Stack Software Engineer specializing in scalable cloud platforms
Staff Full-Stack Engineer specializing in data engineering and real-time event platforms
Senior Full-Stack Engineer specializing in cloud, real-time data, and web platforms
Mid-level Software Engineer specializing in ML-driven software testing and developer tools
Senior Software Engineer specializing in cloud platforms, healthcare imaging, and scalable APIs
Staff Full-Stack & Platform Engineer specializing in cloud-native distributed systems
Senior Software Engineer specializing in AI agents and cloud platforms
Mid-level Software Engineer specializing in backend, ML platforms, and FinTech
Senior Full-Stack Software Engineer specializing in Telehealth and FinTech
Senior Software Engineer specializing in FinTech payments and scalable platforms
Staff Software Engineer specializing in Healthcare SaaS and real-time systems
Mid-Level Software Development Engineer specializing in AWS serverless and ML/GenAI
Staff Software Engineer specializing in FinTech and scalable distributed systems
Senior AI Engineer specializing in machine learning, NLP, and generative AI
Sumer Joshi
Senior Full-Stack Engineer specializing in backend systems and AI applications
“Candidate is deeply focused on AI-native software development, using a deliberate planner/implementer agent workflow with tools like Cursor, Claude, and Kimi. They also built a personal project called Config Proctor, an AI-agent-driven Terraform/AWS self-healing system that identifies infrastructure configuration gaps and proposes fixes.”
Manaswini Gogineni
Mid-Level Software Engineer specializing in cloud infrastructure and full-stack web development
“Backend engineer at Electric Hydrogen who built a serverless device-log ingestion and processing platform in Python/Flask, scaling throughput (4x peak ingestion) while keeping sub-300ms API latency. Strong in Postgres/SQLAlchemy performance (partitioning, materialized views) and production ML integration (ONNX model served via FastAPI microservice with async batch inference, Redis feature caching, and drift monitoring via S3/Lambda). Experienced designing secure multi-tenant systems with schema-per-tenant isolation and KMS-backed encryption.”