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Vetted Model Deployment Professionals
Pre-screened and vetted.
Lavanya Nandan Deole
Intern software engineer specializing in AI, mobile, and distributed systems
“Entry-level candidate who built NYC Lens, a real-time Gemini-based multi-agent system that processes live camera input, identifies landmarks, and returns structured contextual insights. Despite being a fresher, they show hands-on experience with deployment on Cloud Run, modular orchestration, noisy-data handling, and reliability patterns like retries, fallbacks, and explicit state management.”
SaiSindhu Beeravolu
Mid AI/ML Engineer specializing in LLMs, RAG, and healthcare AI
“Healthcare ML/AI engineer with production experience at UnitedHealth Group, including an end-to-end readmission prediction system built on 50M+ patient records that improved accuracy by 18% and reduced preventable readmissions by 12%. Also shipped a clinically grounded LLM/RAG referral generator with human-in-the-loop safety controls, showing strong depth in regulated, high-stakes AI systems.”
Sreeraj Chintham
Mid-level Software Engineer specializing in Python backend and AI/GenAI
“Backend/infrastructure-focused engineer building AI-agent products for small businesses, including a customer-service agent platform with intent routing, RAG over Pinecone, and external booking API integration. Has shipped Python/FastAPI services with JWT auth, versioned APIs, Docker deployments to AWS EC2 via GitHub Actions, and production monitoring with Prometheus/Grafana.”
Saketh Kota
Mid-level Data Scientist / ML Engineer specializing in Generative AI, RAG, and MLOps
“Built and productionized a RAG-based LLM research assistant for biomedical and regulatory document search using Mixtral 7B on SageMaker, LangChain, and Milvus, cutting research time by ~40%. Has hands-on multi-cloud MLOps experience across AWS/Azure/GCP with Kubeflow/Airflow/Composer plus Terraform + ArgoCD, and applies rigorous evaluation/monitoring (latency, accuracy, hallucinations). Also partnered with a non-technical PM to deliver an insurance policy Q&A chatbot that reduced customer response time by 30%+.”
Mid-level Data Scientist & AI/ML Engineer specializing in GenAI, NLP, and predictive modeling
Mid-level Machine Learning Engineer specializing in Generative AI, NLP, and MLOps
Mid-level Data Scientist specializing in AI/ML for healthcare analytics
Mid-level AI/ML Engineer specializing in Generative AI, RAG pipelines, and NLP
Mid-Level Software Development Engineer specializing in full-stack web and AI/LLM apps
Mid-Level Software Engineer specializing in backend systems, cloud, and DevOps
Mid-level AI Engineer specializing in computer vision, NLP, and MLOps
Mid-level AI/ML Engineer specializing in healthcare ML systems and cloud MLOps
Mid-level Machine Learning Engineer specializing in NLP and recommender systems
Mid-level AI/ML Engineer specializing in NLP, GenAI, and cloud MLOps
Mid-level Data Engineer specializing in real-time streaming and cloud data platforms
Mid-level AI/ML Engineer specializing in healthcare analytics and fraud detection
Mid-level Data Scientist specializing in ML, NLP, and MLOps for finance and healthcare
Mid-level Data Scientist specializing in ML, NLP, and Generative AI
Mid-level AI/ML Engineer specializing in Generative AI, NLP, and LLM-powered healthcare systems
Mid-level Machine Learning Engineer specializing in healthcare analytics and fraud detection
Intern Software Engineer specializing in real-time systems and AI-backed backend services
Senior Machine Learning Engineer specializing in AI/ML, NLP, and computer vision