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Vetted FAISS Professionals
Pre-screened and vetted.
Mid-level Full-Stack GenAI/ML Engineer specializing in agentic AI and RAG systems
Mid-Level Full-Stack Developer specializing in GenAI and web applications
Mid-Level Software Engineer specializing in cloud-native microservices and distributed systems
Senior Machine Learning Engineer specializing in GenAI and LLM-powered systems
Mid-level Data Scientist specializing in LLMs and applied machine learning
Mid-level Full-Stack Software Developer specializing in cloud-native microservices
Mid-level Machine Learning Engineer specializing in healthcare risk prediction and GenAI
Mid-level AI/ML Engineer specializing in NLP, fraud detection, and LLM applications
Mid-level Data Scientist specializing in ML, NLP, and scalable data pipelines
Mid-level Machine Learning Engineer specializing in Generative AI, NLP, and recommender systems
Mid-level Data Scientist specializing in GenAI, NLP, and cloud MLOps
Junior Data & AI Analyst specializing in BI, LLM applications, and analytics
Mid-level Data Engineer specializing in cloud data platforms and BI analytics
Senior AI/ML Engineer specializing in MLOps and Generative AI (LLMs/RAG)
Mid-level Applied AI Engineer specializing in Generative AI and RAG systems
Mid-level Data Scientist specializing in ML, NLP, and LLM-powered analytics
Tushar Jayendra Mhatre
Intern Data Scientist/ML Engineer specializing in generative AI and ML platforms
“AI Engineering Intern at The Etherloop building the backend for a healthcare lifestyle recommendation app, including a multi-agent RAG-based system that uses curated SME data plus web search to generate personalized supplement recommendations from user lifestyle details and blood biomarkers. Evaluates against 500+ SME ground-truth profiles with ranking metrics and focuses on HIPAA-aligned deployment, privacy/security, and guardrails to reduce hallucinations and unsafe outputs.”
Sai Manikanta Kasireddy
Mid-level Machine Learning Engineer specializing in cloud-native GenAI and RAG systems
“Built and productionized an internal GenAI chatbot that makes company policy/SOP knowledge instantly searchable, using a secure RAG architecture on AWS (Bedrock/Titan embeddings/OpenSearch Serverless, Textract/Lambda/S3 ingestion, Claude 3 Sonnet). Demonstrates strong MLOps/orchestration experience (Airflow, Step Functions with Lambda/Glue/SageMaker) and a rigorous reliability approach (RAGAS metrics, A/B testing, citation validation, monitoring), including collaboration with compliance stakeholders via review dashboards.”