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Vetted MLOps Professionals
Pre-screened and vetted.
Mid-level Data Scientist specializing in Healthcare ML and Generative AI
Principal AI Architect & Data Engineer specializing in GenAI, agentic systems, and MLOps
Mid-level Machine Learning Engineer specializing in MLOps and multimodal AI
Junior Generative AI Engineer specializing in LLM fine-tuning and RAG pipelines
Junior Machine Learning Engineer specializing in AI automation and LLM workflows
Junior Data Scientist / AI Engineer specializing in analytics, ML, and MLOps
Mid-level AI/ML Engineer specializing in LLMs, RAG, and agentic AI systems
Mid-level AI Engineer specializing in LLM automation and RAG systems
Junior Machine Learning Engineer specializing in deep learning and healthcare AI
Mid-level AI/ML Engineer specializing in cloud AI, MLOps, and NLP
Senior Python Backend Engineer specializing in scalable APIs, cloud microservices, and AI/ML platforms
Senior Full-Stack Python Engineer specializing in secure cloud platforms and ML systems
Senior Full-Stack Engineer specializing in Python, cloud-native microservices, and React
sathwik kuchana
Mid-level AI Engineer specializing in Generative AI, LLMs, and RAG on AWS
“Built and deployed an LLM-powered clinical decision support and risk monitoring platform for mental health at Valuai.io, emphasizing low-latency, evidence-grounded responses and crisis-safe behavior with clinician escalation. Strong production agent-orchestration background (LangChain/CrewAI) plus rigorous evaluation (clinician-in-the-loop + evaluator agent) and large-scale synthetic testing; also applied multi-agent workflows to document verification and fraud detection during an AI internship at Nixacom.”
Swapnil Ramanna
Mid-level Data Scientist specializing in Generative AI and Healthcare Analytics
“Built a LangGraph-based, tool-routing LLM chatbot to deliver fast, trustworthy investment-stock insights (including tariff impact) and deployed it to production on Snowflake after initially developing in Azure with AI Search and the Microsoft Agent Framework. Improved routing robustness by moving from LLM-based decisions to a deterministic router backed by schema-relationship graphs and YAML metadata, and ran the project iteratively with non-technical stakeholders over an 8-month engagement.”
Adithya Sharma
Mid-level AI/ML Engineer specializing in MLOps, NLP, and Generative AI
“Built and deployed a production LLM-powered text-to-SQL/document intelligence chatbot on AWS that lets non-technical business users query complex enterprise databases in plain English. Demonstrates deep practical expertise in schema-aware prompting, embeddings-based schema retrieval, SQL safety/validation guardrails, and rigorous offline/online evaluation with human-in-the-loop approvals for risky queries.”
Santhi Sampath Gamidi
Mid-level AI Engineer and Data Scientist specializing in LLM agents and RAG systems
“Built a production-grade LLM evaluation and regression system that stress-tests models across hundreds of iterations, combining LLM-as-judge, semantic similarity, statistical metrics, and rule-based checks, with results delivered via stakeholder-friendly HTML reports and dashboards. Experienced orchestrating multi-agent RAG workflows using LangChain/LangGraph and event-driven GenAI pipelines in n8n integrating OCR, speech-to-text, and external APIs, with strong emphasis on reliability, observability, and explainable failures.”
Sasaunk Vanamali
Mid-Level Full-Stack Software Engineer specializing in cloud-native apps and ML services
“Software engineer who deployed and stabilized a real-time analytics platform at Senecio Software, focusing on production reliability, observability, and performance under load. Experienced debugging issues spanning distributed services and networking (e.g., tracing timeouts to packet loss from misconfiguration) and extending Python (FastAPI/Django) APIs for customer-specific analytics features in a configurable, maintainable way.”