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Vetted Llama Professionals
Pre-screened and vetted.
Mid-level AI Research Scientist specializing in multimodal RAG and foundation models
Mid-level Machine Learning Engineer specializing in NLP, computer vision, and LLMs
Mid-level AI/ML Engineer specializing in GenAI, NLP, and AWS MLOps
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices and FinTech
Senior Software Developer specializing in cloud-native microservices and GenAI/ML
Mid-level AI/ML Engineer specializing in Generative AI agents and workflow automation
Mid-level AI/ML Engineer specializing in LLM fine-tuning and RAG for healthcare
Mid-level Data Scientist & AI Engineer specializing in NLP, computer vision, and MLOps
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
Senior QA Automation Engineer specializing in test automation and end-to-end web testing
Mid-level AI/ML Engineer specializing in cloud-native data pipelines and RAG systems
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Tanweer Ashif
Mid-level AI/ML Engineer and Data Scientist specializing in LLMs and MLOps
“Data science/AI intern at University at Buffalo Business Services who built and deployed production systems spanning classic ML and LLM assistants. Delivered real-time competitor intelligence for a Cornell-partnered, $1B beverage launch by scraping/cleaning 5,000+ SKUs and deploying models via API, then built a domain-aware LLM assistant to modernize Excel-based workflows with strong grounding, privacy controls, and sub-5s latency.”
Joshua Sylvester
Senior Machine Learning Researcher/Engineer specializing in temporal modeling and production ML systems
“Backend engineer who built and evolved a startup data-processing backend (Express.js/MySQL) handling millions of user data points, with a microservices pipeline integrating multiple social media APIs. Emphasizes reliability and security through comprehensive testing, robust error/retry handling for sequential pagination constraints, and tight IAM/JWT/OAuth-based access controls.”
Shashank Chauhan
Mid-level Software Engineer specializing in AI/ML and cloud data platforms
“ML engineer with hands-on experience taking a Gaussian Process Regression-based intelligent survey timing system from build to real-world deployment, including a 3-week RCT on 120 participants and measurable improvements (15% response rate, 23% data quality). Also served as a key technical resource at CData for customer-facing demos and debugging hundreds of production issues, bridging engineering with Sales and Customer Success.”