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Vetted Django Professionals
Pre-screened and vetted.
Senior Full-Stack Software Engineer specializing in web platforms and AI/ML-enabled services
Senior Full-Stack Software Engineer specializing in Java/Spring and modern web apps
Mid-Level Software Engineer specializing in Cloud SRE and LLM-powered automation
Senior Python Backend Engineer specializing in cloud-native SaaS and microservices
Senior Full-Stack Developer specializing in cloud-native microservices and AI-driven healthcare apps
Senior Full-Stack Python Engineer specializing in cloud microservices and AI/LLM systems
Senior Full-Stack Python Engineer specializing in trading and FinTech platforms
Senior Full-Stack Engineer specializing in AI/ML product engineering
Senior Full-Stack Engineer specializing in React/TypeScript, React Native, and LLM-enabled products
Mid-level Full-Stack Software Engineer specializing in FinTech analytics and security
Senior Software Engineer specializing in cloud architecture and machine learning
Mid-Level Backend/Infrastructure Engineer specializing in distributed storage systems
Senior Full-Stack Software Engineer specializing in FinTech payments and risk systems
Senior Software Engineer specializing in Python, cloud infrastructure, and AI-powered search
Senior Software Engineer specializing in payments, billing, and fraud/risk platforms
Mid-level Software Engineer specializing in backend APIs, data pipelines, and cloud microservices
Mid-level Software Engineer specializing in full-stack and distributed backend systems
Executive FinTech Founder and Software/Finance Leader specializing in data pipelines and valuation
Senior Software Engineer specializing in cloud security and identity management
Senior Full-Stack & AI/ML Engineer specializing in cloud-native SaaS and IoT analytics
Senior Software Engineer specializing in AI for Healthcare and Enterprise SaaS
Abhijay Sai Paladugu
Junior Data Scientist specializing in LLM agents, RAG, and reinforcement learning
“McKinsey practitioner who built and deployed production LLM systems for consultants/clients, including a Power BI-integrated multi-agent chatbot (RAG + text-to-SQL + formatting) with custom Python orchestration, verification loops, and a 100+ case eval set achieving ~95% consistency. Also delivered a taxonomy-mapper agent that standardized inconsistent labeling for C-suite stakeholders, cutting a process from >2 weeks to <30 minutes through demos and business-focused communication.”