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Vetted Llama Professionals
Pre-screened and vetted.
Mid-level AI/ML Engineer specializing in LLM, RAG, and multimodal systems
Senior Full-Stack Python Developer specializing in cloud, data platforms, and GenAI
Mid-level Agentic AI & ML Engineer specializing in LLM agents and RAG systems
Shweta Chavan
Junior Computer Vision & ML Engineer specializing in autonomous perception systems
“LLM/RAG engineer who built a production-style multi-agent orchestrator for resume-to-recommendation workflows (PDF ingestion through screening and recommendations), emphasizing prompt tuning and strict JSON output contracts. Currently building a RAG application for an NGO using Airflow (DAGs + embeddings) and tackling messy, missing/imbalanced data; has hands-on retrieval stack experience (FAISS/HNSW, bge embeddings) and uses rigorous evaluation metrics for groundedness and hallucination control.”
Yue Yang
Intern Data Scientist specializing in GenAI (LLMs, RAG) and ML model optimization
“Built and deployed a production LLM-powered risk assistant for KPMG and Freddie Mac that lets analysts query a confidential Neo4j risk graph in natural language (no Cypher), turning multi-day analysis into minutes with traceable, cited answers. Implemented rigorous guardrails, deterministic verification, RBAC/security controls, and a full eval/observability stack, cutting query error rate by ~50% and iterating through weekly UAT with non-technical risk analysts.”
Praveen V
Mid-Level Software Engineer specializing in Generative AI and RAG systems
“Built a production RAG-based natural-language-to-SQL system at Global Atlantic to replace slow, expensive manual analytics ticket workflows, focusing heavily on retrieval quality and measurable evaluation (200-question ground-truth set; recall@5 improved 0.65→0.78 via semantic chunking). Also built a custom MCP-style agent orchestrator for a personal project (arxiv-ai) to improve flexibility and Langfuse-aligned observability, and has hands-on experience with LangGraph, CrewAI, and n8n.”
Vishal Mittal
Director-level Engineering Manager specializing in cloud security platforms and AI-driven automation
“Senior engineering leader in the Bay Area with experience spanning VMware, Hortonworks/Cloudera, Barracuda, and Palo Alto Networks, including leading open-source work (Apache Knox) and architecting large-scale security platforms. Has driven disaster recovery and cloud security products, designed Python microservices for Microsoft 365 security, and scaled teams (3x) while formalizing enterprise readiness practices with automated documentation using Notebook LLM.”
Sanjana Janardhan
Intern Full-Stack Engineer specializing in AI/ML and cloud infrastructure
“Built multiple AI-powered products from scratch, including ConnectAbility, an accessibility tool combining computer vision and LLMs to describe visual content for users with disabilities, and SpamBack!, a macOS app that detects scam texts and auto-generates responses. Stands out for full-stack/backend ownership of applied AI systems, especially around async workflows, inference performance, and reliability safeguards.”
Daniel Luzzatto
Junior Machine Learning Engineer specializing in LLMs, computer vision, and robotics
“Built and deployed an agentic, multimodal LLM system that automates privacy redaction pipelines (audio/video/tabular) using LangChain orchestration and a closed-loop self-correction design. Personally implemented and performance-optimized core CV tooling (face blurring with tracking/Kalman filter) achieving >100 FPS on CPU, and validated reliability with golden-dataset benchmarking across 100+ privacy intents and measurable redaction metrics.”
Junior Software Engineer specializing in AI/ML systems and LLM-powered document automation
Senior Full-Stack Software Engineer specializing in cloud platforms and AI evaluation
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Mid-Level Software Engineer specializing in cloud-native microservices and AI/ML
Mid-level AI/ML Engineer specializing in MLOps, real-time ML, and LLM/RAG systems
Mid-level Machine Learning Engineer specializing in NLP, federated learning, and fraud detection
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Senior AI/ML Engineer specializing in Computer Vision, NLP, and Generative AI
Mid-level AI & ML Engineer specializing in NLP, LLMs, and scalable ML systems
Technology Executive specializing in AI-native engineering and cybersecurity governance
Mid-level AI/ML Engineer specializing in LLM evaluation, RAG, and GPU-accelerated inference