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Vetted OCR Professionals
Pre-screened and vetted.
Arwen Yang
Staff Applied Scientist specializing in multimodal LLM safety, robustness, and retrieval
“Built a production LLM-driven archival assistant that turns large, low-quality scanned handwritten files (120+ pages) into structured datasets, overcoming context-window and hierarchy challenges with a two-phase LLM + rules pipeline and reaching 98.1% accuracy (Gemini-2.5 Flash). Also orchestrated a large human-in-the-loop effort with 78 archivists, producing 2,400 high-quality annotations in 4 days via detailed rubrics and support.”
Shardul Jeurkar
Intern Applied AI/Software Engineer specializing in computer vision and full-stack platforms
“Built production LLM systems focused on reliability and safety, including a plain-English deployment tool that generates validated plans and provisions to Kubernetes while preventing unsafe actions via schema enforcement and plan/execute separation. Also created multi-LLM workflows (LangGraph) and stakeholder-friendly demos at Bosch, including a PyQt/FastAPI/CUDA app comparing SAM2 vs SAMWISE for on-device object detection with intuitive UX for business users.”
Junior Software Engineer specializing in AI/ML systems and LLM-powered document automation
Junior Data Infrastructure Software Engineer specializing in analytics pipelines
Junior Software Engineer specializing in scalable systems and cloud infrastructure
Mid-Level Software Engineer specializing in microservices, React, Python, and iOS
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Senior Software Engineer specializing in GenAI, RAG, and multi-tenant SaaS platforms
Staff Full-Stack Software Engineer specializing in AI-driven platforms
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Mid-level Data Scientist specializing in NLP, deep learning, and big data analytics
Mid-level AI/ML Engineer specializing in LLM evaluation, RAG, and GPU-accelerated inference
Junior Software Engineer specializing in cloud platforms, microservices, and AI/ML
Junior AI/ML Engineer specializing in LLMs, RAG, and document intelligence
Ruturaj Ghatage
Junior Software Engineer specializing in full-stack, cloud infrastructure, and applied AI
“Master’s student at UC San Diego who built an LLM-powered healthcare chatbot for patient history-taking and sepsis-related output, using a Node.js backend integrated with FastAPI for RAG/LLM interactions and a Flutter client. Also has healthcare AI startup experience deploying on AWS (ECS/Terraform/Docker) and implementing Kubernetes autoscaling to improve efficiency and reduce costs, with strong iterative evaluation in collaboration with a physician.”
Vishnu Mukundan Thanikunathe Manoj
Junior AI/ML Engineer specializing in LLM agents, explainable AI, and computer vision
“Robotics/computer-vision engineer with industrial safety monitoring experience, building real-time pose estimation (TRTPose) and 2D-to-3D localization and optimizing pipelines to sustain 30+ FPS under heavy multi-entity load. Also brings edge-to-cloud distributed systems work (HoloLens + Google Vision/Translation) and production ML deployment experience using Docker/CI/CD across finance and edge camera environments.”
Mid-Level Software Engineer specializing in recommendation and ranking systems
Senior Full-Stack Software Engineer specializing in cloud-native platforms and Healthcare IT
Intern/Entry Software Engineer specializing in AI document intelligence and web development
VP of Engineering specializing in platform, microservices, and consumer marketplaces
Mid-level AI/ML Engineer specializing in production ML, NLP, and computer vision
Mid-Level Software Engineer specializing in AI, cloud-native microservices, and full-stack systems