.png){kind=logo}
Vetted R Professionals
Pre-screened and vetted.
Senior QA/Test Technician specializing in mobile, IoT, and pre-silicon software validation
Junior Software Engineer specializing in computer vision and LLM-powered systems
Junior AI/ML Engineer specializing in LLMs, automation, and backend data pipelines
Mid-level Software Engineer specializing in Generative AI and cloud-native microservices
Mid-level Full-Stack Developer specializing in React, Node.js, and AI automation
Mid-level AI Engineer specializing in LLM agents, RAG, and evaluation
Senior Data Scientist / ML Engineer specializing in NLP, speech AI, and computer vision
Junior Full-Stack Software Engineer specializing in Python/React and AI-powered web apps
Mid-Level Full-Stack Software Engineer specializing in cloud microservices and Voice AI
Mid-level AI/ML Research Engineer specializing in NLP, LLM agents, and multimodal systems
Mahaboob Johny
Mid-level Data Analyst specializing in SQL/Python analytics, ETL pipelines, and BI dashboards
“Data/AI practitioner who built a production LLM-driven healthcare claims analytics and dashboarding system to reduce avoidable ER visits—processing 1.4M+ claims, flagging 19% as non-emergent, and projecting ~$2.8M in annual savings. Demonstrates strong real-world LLM reliability and performance engineering (grounding, numeric validation, caching, materialized views, quantization) plus orchestration experience with Airflow and Azure Data Factory.”
Jaiden Kettleson
Entry-Level Full-Stack & AI Engineer specializing in chatbots and web apps
“Data Science honors graduate (Maryville University) who has built Python/SQL backends and a capstone website handling sensitive user data. Emphasizes secure data handling (password encryption, secure database updates) and uses Git/GitHub Pages with CI/CD-style practices for managing and deploying changes.”
Md Rifat Ullah
Mid-level AI/ML Engineer specializing in NLP, GenAI, and conversational AI
“Built and deployed a production bilingual (Bengali/English) AI virtual assistant that replaced IVR for telecom customer service at massive scale (~15M users), integrating ASR/TTS, Rasa dialogue management, and custom NLP. Overcame low-resource Bengali data and noisy call-center audio with synthetic data augmentation and transformer fine-tuning, achieving significant production gains including ~50% reduction in support calls.”
Aditya Reddy Gunda
Intern AI/ML & Data Engineer specializing in deep learning, NLP, and cloud data pipelines
“AI/ML practitioner with production experience building a RAG-powered contextual customer support agent, optimizing for low latency using vector databases and smaller LLMs. Also deployed a fraud detection model on Kubernetes with auto-scaling for heavy transactional loads, and improved chatbot accuracy by 15% through metric-driven testing and evaluation. Partners with Marketing on personalization/recommendation initiatives with measurable outcomes tied to customer feedback.”
Junior Full-Stack Software Developer specializing in cloud-native apps and data/AI
Intern Full-Stack Software Engineer specializing in web apps and game development
Junior Data Analyst specializing in AI-driven analytics and business intelligence
Intern AI/ML Software Engineer specializing in NLP and model serving
Intern Full-Stack Software Engineer specializing in web platforms and IoT