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Vetted Git 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
Senior Python Backend Engineer specializing in Django, APIs, and AI automation
Senior Full-Stack Developer specializing in Python, AWS, and data/ETL systems
Mid-level Software Engineer specializing in AI, data engineering, and cloud systems
Mid-Level Backend Software Engineer specializing in distributed systems and observability
Senior QA Engineer specializing in automation, data quality, and cross-platform testing
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
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
Mid-level QA Engineer specializing in manual and automation testing for web, mobile, and APIs
Mid-level AI/ML Engineer specializing in forecasting, MLOps, and generative AI
Principal Data Scientist specializing in LLMs, RAG, and enterprise AI products
Mid-level Software Engineer specializing in Unity game development and graphics engineering
Adithya Rajendra
Junior Data Engineer specializing in Azure data platforms and GenAI analytics
“Data/ML practitioner with experience spanning medical imaging (retinal vessel analysis for hypertension/CVD risk prediction) and enterprise data engineering at Carl Zeiss. Built large-scale SAP data cleaning/validation pipelines (10M+ daily records, ~99% accuracy) and RAG-based semantic search with LangChain/vector DBs that cut manual querying by 82%, plus automation that reduced data onboarding from 8 hours to 12 minutes.”