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Vetted ChromaDB Professionals
Pre-screened and vetted.
Junior GenAI Developer specializing in RAG and LLM applications
Senior Machine Learning & AI Engineer specializing in Generative AI and MLOps
Mid-level Data Scientist specializing in ML, MLOps, and Generative AI
Intern Full-Stack Software Engineer specializing in LLM/RAG and cloud-deployed data apps
Mid-level AI/ML Engineer specializing in Generative AI, multi-agent RAG, and FastAPI backends
Mid-level Machine Learning Engineer specializing in multimodal GenAI and RAG systems
Mid-level AI/ML Engineer specializing in computer vision and generative AI
Mid-level AI & Data Engineer specializing in cloud ML, RAG systems, and ETL automation
Senior GenAI Engineer specializing in agentic AI and multi-agent orchestration
Senior AI/ML Engineer specializing in Generative AI, RAG, and multimodal LLM systems
Junior Machine Learning Engineer specializing in Generative AI and MLOps
Mid-level Data Scientist / GenAI Engineer specializing in LLM agents, RAG, and OCR
Junior Full-Stack Software Engineer specializing in AI/RAG systems
Mid-level AI Engineer specializing in LLM safety, red teaming, and evaluation
Mid-level Software Engineer specializing in backend systems and AI applications
Mid-Level Software Engineer specializing in cloud microservices and AI automation
Mid-Level Software Engineer specializing in AI/ML, cloud deployment, and full-stack systems
Rukmini Pisipati
Junior AI/ML Engineer specializing in LLM automation and NLP
“Built and shipped a production LLM hallucination detection and monitoring pipeline using semantic-level entropy (embedding-clustered multi-generation variance) to flag unreliable outputs in downstream automation. Implemented a scalable async architecture (FastAPI + Docker + Redis/Celery) with strong observability (structured logs + PostgreSQL) and developed evaluation loops combining controlled prompts and human review; also partnered with non-technical stakeholders on AI-driven form validation/document processing.”
Jeet Choksi
Mid-level Machine Learning Engineer specializing in real-time AI and data platforms
“ML/NLP engineer who has built production systems end-to-end: a real-time recommendation platform (100k+ profiles) using BERTopic-style clustering and a RAG-based news summarization/recommendation stack with ChromaDB. Strong focus on scaling and reliability (GPU batching, Redis caching, Kafka ingestion, Docker/Kubernetes, Prometheus/Grafana) and on maintaining model quality over time via drift monitoring and retraining triggers.”
Pavan Sai Reddy Pendry
Junior AI/ML Engineer specializing in GenAI, RAG, and full-stack ML systems
“Built a university campus assistant chatbot (BabyJ/WWJ) using RAG and agentic routing with a FastAPI + React stack and JWT auth, focusing heavily on production concerns like latency and reliability. Uses techniques like speculative prefetching, smart intent routing, and rigorous eval/testing (golden sets, regression, edge cases) while collaborating closely with campus admin/advising teams to iterate based on real user feedback.”
Mid-level Data Scientist / AI Research Engineer specializing in LLMs, RAG, and applied ML
Mid-level AI/ML Engineer specializing in LLM-powered RAG systems and MLOps