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Vetted Django Professionals
Pre-screened and vetted.
Staff Software Engineer specializing in FinTech, AI/ML, and cloud microservices
Senior Software Engineer specializing in scalable backend systems and full-stack web apps
Mid-Level Full-Stack Software Engineer specializing in web platforms and data-driven systems
Senior Full-Stack Engineer specializing in Healthcare and FinTech platforms
Intern Software Engineer specializing in AI/ML and LLM retrieval systems
Senior Full-Stack Engineer specializing in AI/ML, LLMs, and RAG systems
Staff Full-Stack Software Engineer specializing in scalable web platforms and cloud infrastructure
Mid-level Full-Stack/Backend Software Engineer specializing in distributed systems and cloud
Senior Backend Engineer specializing in Healthcare & Cloud Platforms
Mid-Level Full-Stack Software Engineer specializing in cloud-native systems and FinTech
Junior AI Software Engineer specializing in LLM systems and retrieval (RAG)
Senior Software Engineer specializing in AWS distributed systems and developer tools
Principal Data Scientist / AI Engineer specializing in healthcare-native AI platforms
Rhutwij Tulankar
Engineering Manager and ML/Data Architect specializing in scalable data platforms and personalization
“Hands-on engineering manager at a marketing company leading a highly senior, distributed team (10 direct reports) while personally coding ~60–70% and owning end-to-end architecture across three interconnected products. Built agentic CRM automation and a reinforcement-learning-driven distribution layer for channel spend/bidding, with a strong focus on scalable design and observability (Prometheus/APM/logging) enabling frequent releases and few production incidents.”
Alexander Choy
Director of AI/ML Engineering specializing in MLOps, data platforms, and 3D computer vision
“Backend/data engineer focused on production ML/LLM systems: built a real-time FastAPI inference API on Kubernetes with strong reliability patterns (timeouts, idempotent retries, centralized error handling). Delivered AWS platforms using EKS + Lambda with GitHub Actions/Helm CI/CD and built Glue-based ETL from S3/Kafka into Snowflake with schema evolution and data-quality controls; also modernized legacy analytics/recommendation workflows into Python services with safe, feature-flagged cutovers.”
Ashi Sinha
Junior Software Engineer specializing in full-stack and ML/NLP systems
“Entry-level full-stack engineer with internship experience at Amazon (Appstore IAP flow + uninstall recommendation workflow) and a health-tech startup (OneVector) where they built a DSUR reporting workflow end-to-end, including document generation, S3-backed versioning/metadata, and secure preview/download. Demonstrates strong production debugging and reliability mindset (instrumentation, deterministic retrieval, idempotent writes) and focuses on UX/performance in high-stakes user flows.”