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Vetted ChromaDB Professionals
Pre-screened and vetted.
Mid-level AI/ML Engineer specializing in LLM fine-tuning and RAG pipelines
Intern Full-Stack Developer specializing in Java/Spring Boot, React, and cloud-native microservices
Intern Software Engineer specializing in LLMs, RAG, and Full-Stack Development
Mid-level Python Developer specializing in healthcare data platforms
Mid-level Software Engineer specializing in AI agents and AWS cloud systems
Mid-level AI Engineer specializing in Generative AI and RAG systems
Mid-level Full-Stack Java Developer specializing in cloud-native microservices and GenAI
Senior Software Engineer specializing in AI platforms and full-stack ML systems
Mid-level GenAI/MLOps Engineer specializing in banking and healthcare LLM applications
Mid-level Machine Learning & AI Engineer specializing in LLMOps, digital twins, and RL
Mid-level AI/ML Engineer specializing in LLM fine-tuning and RAG for healthcare
Mid-level Data Analyst/Data Engineer specializing in machine learning and NLP
Junior AI Engineer specializing in LLM systems, RAG, and production data pipelines
Shreevershith Kollabettu
Mid-level AI Engineer specializing in LLMs, agentic systems, and MLOps
“AI-focused engineer with Infosys experience building Azure/.NET chatbot applications and recent hands-on work with FastAPI/LangChain. Built a hackathon multi-agent legal counsel system showcasing agent orchestration, and emphasizes production readiness via Docker, GitHub Actions CI/CD, pytest automation, and adversarial simulations for auditable AI behavior. No direct robotics/ROS experience to date.”
Yuvraj Goyal
Junior Full-Stack Software Developer specializing in GenAI RAG systems
“Product/UX designer who built a cloud-based data management and visualization system for healthcare and manufacturing, translating script-driven and highly technical workflows into guided, step-based experiences. Strong in progressive disclosure, role-based defaults, and trust-building UI patterns, with hands-on prototyping in Figma and close design-engineering collaboration (HTML/CSS, component systems, working TypeScript familiarity) to ship scalable, accessible designs.”
Atharva Joshi
Mid-level GenAI Engineer specializing in RAG systems and AI agents
“LLM/agentic systems builder who has deployed production solutions for a resource management firm, using an MCP-driven architecture with Neo4j + Elasticsearch and a ChatGPT frontend to generate candidate/company “SmartPacks” and answer entity Q&A. Also built a LangGraph/LangSmith-orchestrated multi-agent workflow that automates data-infra change requests end-to-end (impact analysis, SQL + tests, and PR creation), and delivered a ~60% latency reduction through TTL-based context caching while improving accuracy via a business data dictionary.”
Junior Full-Stack Software Engineer specializing in cloud-native microservices and data platforms