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Vetted Django Professionals
Pre-screened and vetted.
Mid-level AI/ML Engineer specializing in cloud AI, MLOps, and NLP
Mid-level AI Engineer specializing in LLMs, RAG, and enterprise analytics
Junior Software Developer & QA Engineer specializing in test automation and AI/ML
Senior DevSecOps Engineer specializing in secure CI/CD and cloud compliance
Senior Backend/Infrastructure Engineer specializing in Python microservices and AWS
Senior Full-Stack Software Engineer specializing in AI, cloud platforms, and payments
Junior Backend/Full-Stack Software Engineer specializing in distributed systems
Senior Full-Stack Engineer specializing in growth, analytics, and funnel optimization
Mid-Level Software Engineer specializing in full-stack systems and authentication
Mid-level Data Engineer specializing in cloud data platforms and real-time pipelines
Mid-level Backend Software Engineer specializing in APIs and scalable enterprise systems
Senior Python Backend Engineer specializing in scalable APIs, cloud microservices, and AI/ML platforms
Senior Full-Stack Software Engineer specializing in Python/Django and React/TypeScript
Senior Full-Stack Python Engineer specializing in secure cloud platforms and ML systems
Senior Full-Stack Engineer specializing in Python, cloud-native microservices, and React
Senior Full-Stack Engineer specializing in SaaS, LegalTech, and Web3
Iangolana Riantsoa RAMELSON
Mid-level Full-Stack JavaScript Developer specializing in React, Next.js, and TypeScript
“Frontend engineer who led end-to-end delivery and scaling of an internal HR product (Easy Time), owning architecture decisions (React/TypeScript, Redux Toolkit, Tailwind/shadcn). Experienced building complex dashboard UIs with advanced filters and real-time interactions, collaborating directly with design (Figma) and shipping quickly via incremental delivery and GitLab CI-driven deployments.”
Vikesh Patel
Senior AI/ML Engineer & Data Scientist specializing in LLMs, RAG, and MLOps
“ML/NLP practitioner who has delivered production systems in regulated domains, including a healthcare compliance pipeline using RAG (GPT-4/Claude) plus TF-IDF retrieval that increased document review throughput 4.5x. Also has hands-on experience improving fraud detection data quality via entity resolution (Levenshtein, Dedupe.py) validated with A/B testing, and building scalable, monitored workflows with Airflow, CI/CD, and AWS SageMaker.”
Phat Dang
Junior Software Engineer specializing in full-stack, DevOps, and GenAI
“Robotics software engineer with hands-on hardware integration who built an AI-enabled smart dog door using a Raspberry Pi, camera-based recognition (DeepFace adapted for dogs), and stepper motor control (TB6600/NEMA 17). Experienced in ROS/ROS 2 across perception-to-controls, rigorous bag-driven debugging of SLAM/navigation issues, and deploying robot software with simulation-in-the-loop testing plus Docker/Kubernetes CI/CD.”