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Vetted Retrieval-Augmented Generation Professionals
Pre-screened and vetted.
Tharun Chowdary Malepati
Mid-level AI/ML Engineer specializing in GenAI, NLP, and production MLOps
“AI/LLM engineer who built and deployed a production healthcare RAG chatbot ("DoctorBot") with strict medical safety guardrails, an 85% confidence-gated verification layer, and latency optimizations that cut responses from ~8s to ~2–3s. Also worked on finflow.ai to generate finance/banking test cases from BRDs, collaborating closely with non-technical domain stakeholders, and has hands-on orchestration experience with LangChain/LangGraph and agentic evaluation/monitoring practices.”
“Built a production AI-powered university marking system that automates question generation and grading from PDF course materials using a RAG pipeline (S3 + Pinecone) orchestrated with LangChain/LangGraph and deployed on AWS ECS via Docker/ECR and GitHub Actions CI/CD. Addressed a key real-world LLM challenge—grading consistency—by implementing rubric-based scoring, retrieval re-ranking, and standardized context summarization, validated against human instructors.”
SAI KUMAR PUNUGUPATI
Junior Full-Stack Software Engineer specializing in AI workflows and LLM integrations
“Built and productionized an AI-assisted merchant onboarding automation workflow for Kort Payments, replacing slow manual underwriting document review with structured extraction, cross-document validation, and human-in-the-loop guardrails. Emphasizes reliability via scenario-based testing, repeatability checks, and deep observability (timestamped logs), plus incremental rollout with legacy fallback to prevent regressions.”
Junior AI Engineer specializing in LLM agents, RAG, and MLOps
Mid-level Generative AI Engineer specializing in LLMs and RAG for enterprise and FinTech
Mid-level Full-Stack Software Engineer specializing in microservices and web applications
Junior Machine Learning Engineer specializing in computer vision and LLM/VLM systems
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and agentic automation
Junior Applied AI Engineer specializing in conversational and voice agent platforms
Mid-level Full-Stack ML Engineer specializing in Graph RAG and knowledge graphs
Entry-Level AI/ML Engineer specializing in LLM apps and RAG pipelines
Mid-level Robotics Software Engineer specializing in autonomous systems and computer vision
Junior Software Engineer specializing in cloud-native backend services and LLM applications
Director-level AI & Data Consultant specializing in LLM/RAG, analytics, and growth
Entry-Level Full-Stack Software Engineer specializing in cloud-native microservices
Mid-level Data Scientist specializing in fraud detection and credit risk ML
Junior AI Engineer specializing in LLM agents, RAG, and computer vision
Mid-level Software Engineer specializing in cloud-native full-stack and AI applications
Junior Machine Learning Engineer specializing in LLMs and conversational AI
Mid-Level Java Full-Stack Developer specializing in Spring Boot microservices and cloud
Senior Python Developer specializing in FastAPI/Django, AWS, and data/AI platforms