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Vetted OCR Professionals
Pre-screened and vetted.
Pandari G
Mid-level Machine Learning Engineer specializing in Generative AI and RAG systems
“GenAI/LLM engineer with production deployments in both fintech and retail: built an AI-powered mortgage document analysis/automated underwriting pipeline at Fannie Mae (OCR + custom LLM) cutting underwriting review from 3–4 hours to under an hour with privacy-by-design controls. Also helped build Sephora’s GenAI product advisory bot using LangChain-orchestrated RAG (Azure GPT-4, Azure AI Search, MySQL HeatWave vector search), focusing on grounding, evaluation, and compliance-aware architecture choices.”
Jamie Cook
Senior Machine Learning Engineer specializing in AI search and recommendation systems
“Built internal production LLM tools for engineering and support, including a customer-health assistant and a RAG-based incident explainer grounded in logs, metrics, and deploy data. Stands out for combining strong GenAI safety/evaluation practices with pragmatic backend engineering, delivering measurable impact like a 40% drop in data-help requests and answers in seconds instead of minutes or hours.”
Animan Khandelwal
Entry-level ML Engineer specializing in multimodal AI and healthcare applications
“Backend/ML engineer who built and operated a production WhatsApp assistant end-to-end using a modern RAG stack, delivering >90% automation with sub-2-second latency. Shows strong depth in retrieval quality, observability, evaluation, and incident handling, and has also applied similar AI workflow patterns to a clinical diagnostic assistant processing medical PDFs.”
Aaron Mcanerney
Mid-level Backend Software Engineer specializing in data platforms and reporting
“Built a production Medicare Q&A chatbot using OCR (pytesseract), LangChain chunking, ChromaDB embeddings/retrieval, and an Ollama LLM. Thinks in terms of practical tradeoffs (cost, model selection, static vs frequently-updated corpora) and emphasizes deterministic testing plus observability for reliable LLM workflows; also has experience automating non-technical teams' pain points (e.g., recruiting event integration).”
Mid-level GenAI Engineer specializing in LLM, RAG, and ML for finance and healthcare
Senior Research Scientist specializing in LLM safety, robustness, and out-of-distribution detection
Senior GenAI/ML Engineer specializing in cloud-native multi-agent RAG and MLOps
Mid-level AI/ML Engineer specializing in fraud detection, risk modeling, and real-time ML systems
Mid-level AI/ML Engineer specializing in NLP, computer vision, and MLOps
Junior AI/ML Engineer specializing in Computer Vision and LLM/RAG systems
Mid-Level Software Engineer specializing in cloud-native platforms and FinTech
Mid-level Full-Stack Software Engineer specializing in AI/ML and GenAI platforms
Mid-level Data Engineer specializing in ML, OCR, and cloud-native pipelines
Mid-Level Software Engineer specializing in FinTech and LLM platforms
Director-level AI/ML Engineering Leader specializing in GenAI, Agentic AI, and AI Governance
Mid-level Computational Biologist & Healthcare AI Developer specializing in LLM agents
Intern/Junior Machine Learning Engineer specializing in LLMs, RAG, and vision-language systems
Mid-level Applied Scientist specializing in production GenAI and RAG systems
Senior AI/ML Systems Architect specializing in cloud-native MLOps and GenAI