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Vetted ChromaDB Professionals
Pre-screened and vetted.
Kenneth Young
Senior Site Reliability Engineer specializing in production LLM/RAG deployments
“Built and operationalized an internal LLM/RAG system for engineering specs—starting with an at-home prototype using real ERP documents, then securing hardware, standing up a GPU/software stack, and deploying through UAT to production. Identified organizational gaps (no shared spec repository) and created a queryable RAG database that reportedly cut document discovery from days/weeks to minutes, while also resolving retrieval issues via improved PDF-aware chunking.”
YAKKALI PAVAN
Mid-level Machine Learning & Generative AI Engineer specializing in NLP, CV, and RAG systems
“Built and deployed a production LLM-powered RAG document intelligence system used by non-technical enterprise stakeholders, cutting document search time by 40%+ while improving answer consistency. Demonstrates strong MLOps/data workflow orchestration (Airflow, AWS Step Functions, managed schedulers across GCP/Azure) and a metrics-driven approach to reliability, evaluation, and cost/latency optimization with guardrails and observability.”
Executive Technology Leader (CTO/Principal Engineer) specializing in cloud-native platforms and AI
Mid-level Full-Stack Software Engineer specializing in AWS microservices and GenAI
Mid-level Machine Learning Engineer specializing in MLOps and Generative AI
Mid-level Data Scientist/ML Engineer specializing in LLMs, NLP, and recommender systems
Mid-level Agentic AI & ML Engineer specializing in LLM agents and RAG systems
Senior AI & Systems Architect specializing in ML infrastructure and FinTech
Varmin Singh
Intern Software Engineer specializing in data engineering and LLM/RAG systems
“Built and productionized enterprise LLM/RAG systems, including a Boeing internal solution that gave 400+ program managers conversational access to 1M+ rows of schedule data, with strong emphasis on governance, reliability, and reducing hallucinations in tabular domains. Also has experience running developer-focused workshops (UC Berkeley computer architecture) and partnering with customer-facing stakeholders to drive adoption of a compliance-sensitive NLP product (SEC-aligned) at Penserra.”
Zheng Wu
Junior Software Engineer specializing in backend systems and cloud messaging
“Data/ML engineer who has owned end-to-end systems across email deliverability/segmentation and production LLM apps. Built a Spark+Airflow segmentation engine that materially improved deliverability (99.9%) and open rates (>50%), and shipped a PDF-to-quiz RAG product using LangChain/Vertex AI/Chroma with strong guardrails and an eval loop that cut hallucinations to <5%.”
Srikar Gundreddy
Mid-level Software Engineer specializing in Robotics and AI systems
“Software Developer at Amazon Robotics who co-developed a congestion-aware path planning system optimizing robot routes across 23 warehouses. Built and operated a real-time, service-integrated pipeline using AWS (AppConfig, DynamoDB), Java, and Redis caching, and has hands-on experience debugging robot behavior on-site with rigorous testing and staged releases.”
Mid-level AI/ML Engineer specializing in LLMs, MLOps, and recommendation systems
Senior Software Engineer in Test specializing in QA automation and AI-driven testing
Junior AI/ML Engineer specializing in NLP, LLMs, and cloud systems
Intern AI Researcher specializing in NLP, multimodal generative AI, and medical imaging
Mid-level Data Scientist specializing in NLP, deep learning, and big data analytics
Mid-level AI/ML Engineer specializing in LLM evaluation, RAG, and GPU-accelerated inference
Mid-level AI/ML Data Engineer specializing in data pipelines, MLOps, and LLM/RAG systems
Mid-level Full-Stack Python Developer specializing in cloud-native FinTech and GenAI
Mid-level AI/ML Engineer specializing in LLMs, RAG, and enterprise AI