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Vetted ChromaDB Professionals
Pre-screened and vetted.
Mid-level AI Engineer specializing in Generative AI and RAG systems
Mid-level Full-Stack Java Developer specializing in cloud-native microservices and GenAI
Mid-level Machine Learning Engineer specializing in NLP, risk modeling, and MLOps
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
Mid-level AI/ML Engineer specializing in FinTech and production ML systems
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.”
Xinyu Li
Junior Software Engineer specializing in backend systems and AI/LLM RAG platforms
“Full-stack engineer who built and operated a data-driven analytics platform using Next.js App Router/Server Components and TypeScript, owning post-launch monitoring and performance/stability work. Demonstrated measurable wins in analytics performance (e.g., cutting query latency from ~1s to ~200ms) through indexing, query-plan analysis, and precomputation/caching, and has experience designing durable multi-step backend workflows with retries, idempotency, DLQ, and time-correct ordering.”
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.”
Thanuja Mudududla
Mid-level Software Engineer specializing in full-stack cloud and agentic AI systems
“Backend engineer with hands-on ownership of production systems across maritime tracking, HR tech, and AI-powered document workflows. They combine strong operational instincts with measurable impact—cutting API latency from 10s to 3s, improving query performance by 60%, reducing deployment time by 50%, and driving 70% infrastructure cost savings with serverless design.”
Junior Full-Stack Software Engineer specializing in cloud-native microservices and data platforms
Mid-level AI/ML Engineer specializing in cloud-native data pipelines and RAG systems
Junior Full-Stack Developer specializing in AI and cloud-native systems
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps