Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

AI Engineering leader and entrepreneur with 8+ years of experience delivering production ML/GenAI solutions across document understanding, RAG/LLM pipelines, and model monitoring/LLMOps. Experienced in architecting end-to-end systems on AWS and Azure, integrating OCR/LLM workflows, and building observable, CI/CD-ready AI services. Passionate about the intersection of technology and creativity, with hands-on expertise in orchestration tools, vector search/RAG, and scalable data engineering. Seeking to leverage deep experience in model development and deployment to drive advanced AI innovation at a leading technology company.…AI Engineering leader and entrepreneur with 8+ years of experience delivering production ML/GenAI solutions across document understanding, RAG/LLM pipelines, and model monitoring/LLMOps. Experienced in architecting end-to-end systems on AWS and Azure, integrating OCR/LLM workflows, and building observable, CI/CD-ready AI services. Passionate about the intersection of technology and creativity, with hands-on expertise in orchestration tools, vector search/RAG, and scalable data engineering. Seeking to leverage deep experience in model development and deployment to drive advanced AI innovation at a leading technology company.

Khosrav Sinakmvi

AI Engineer, AI Developer, Web Developer, +2





AI Engineering leader and entrepreneur with 8+ years of experience delivering production ML/GenAI solutions across document understanding, RAG/LLM pipelines, and model monitoring/LLMOps. Experienced in architecting end-to-end systems on AWS and Azure, integrating OCR/LLM workflows, and building observable, CI/CD-ready AI services. Passionate about the intersection of technology and creativity, with hands-on expertise in orchestration tools, vector search/RAG, and scalable data engineering. Seeking to leverage deep experience in model development and deployment to drive advanced AI innovation at a leading technology company.…AI Engineering leader and entrepreneur with 8+ years of experience delivering production ML/GenAI solutions across document understanding, RAG/LLM pipelines, and model monitoring/LLMOps. Experienced in architecting end-to-end systems on AWS and Azure, integrating OCR/LLM workflows, and building observable, CI/CD-ready AI services. Passionate about the intersection of technology and creativity, with hands-on expertise in orchestration tools, vector search/RAG, and scalable data engineering. Seeking to leverage deep experience in model development and deployment to drive advanced AI innovation at a leading technology company.

Available to hire

AI Engineering leader and entrepreneur with 8+ years of experience delivering production ML/GenAI solutions across document understanding, RAG/LLM pipelines, and model monitoring/LLMOps. Experienced in architecting end-to-end systems on AWS and Azure, integrating OCR/LLM workflows, and building observable, CI/CD-ready AI services.

Passionate about the intersection of technology and creativity, with hands-on expertise in orchestration tools, vector search/RAG, and scalable data engineering. Seeking to leverage deep experience in model development and deployment to drive advanced AI innovation at a leading technology company.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

Work Experience

Staff AI Engineer / LLM Ops & Document AI Lead (ML/GenAI) at Build Ops (Apply Board)

August 1, 2025 - Present

Led creation and productionization of Document AI, LLM, and recommendation initiatives. Built an OCR + entity extraction pipeline using AWS Textract, LangChain, Terraform, Snowflake, and LLMs with deterministic fallbacks for reliable mapping to internal schemas. Developed golden evaluation datasets and integrated LLM regression tests into CI/CD to block releases when accuracy fell below thresholds. Implemented DataDog dashboards and custom LLM observability (latency, error, evaluation metrics). Built tenant embedding and reranker models using Snowflake data (including segmentation and recommendation use cases). Contributed production code for large-scale entity extraction and schema mapping to reduce manual review for high-volume document processing.

Founder and Principal Software Engineer at Enkiube Technologies

January 1, 2023 - August 1, 2025

Developed an AI-enhanced industrial QA and asset management platform enabling co-pilot experiences for workflow management, audits, and monitoring across digital and physical assets. Designed serverless microservice architecture to decouple AI inference and training endpoints, integrating Node.js backend with React via REST APIs. Built chatbots trained on organizational data using RAG, retrieval/reranking mechanisms, Pinecone, and AWS OpenSearch; implemented multimodal retrieval with LlamaIndex/Neo4j/knowledge graphs and ontology-based retrieval. Developed object detection pipeline for video streams (vector embeddings via AWS Titan) and built AI agents to automate internal workflow audit generation and scheduling. Led a team of front-end and back-end developers and drove infrastructure-as-code using AWS CDK.

Lead Process Improvement Engineer (Machine Learning & Data Pipelines) at G&W Electric

April 1, 2021 - January 1, 2023

Built machine learning and ETL pipelines to analyze sensor data from PLCs and detect anomalies affecting product quality, enabling predictive maintenance and reducing annual scrap costs by approximately $500,000. Implemented anomaly detection pipelines with Flink, Azure File Storage, Azure Data Factory, Power BI, Azure Functions, and Docker; executed batch time-series analysis using TensorFlow 2.0, scikit-learn, NumPy, and pandas. Built ETL ingestion to bronze/silver/gold zones for anomaly detection, collaborating with IT and business intelligence teams for an end-to-end predictive maintenance architecture. Also delivered dashboards and implemented process improvements including factory-wide electronic 5S auditing and smart material requisition dashboards.

Enterprise Data Scientist at Marmon/Berkshire Hathaway (Enterprise Data Science)

April 1, 2021 - January 1, 2023

Developed ETL and ML pipelines for analytics and financial auditing. Innovated data governance with a standardized KPI framework and deployed an anomaly detection model identifying 65% of double-paid invoices, addressing nearly $1M in financial discrepancies. Built end-to-end ML pipelines on Microsoft Azure using Databricks (PySpark/Scala), Azure Data Factory, Power BI, Data Lake, and Functions; also designed pipelines to consolidate data into PostgreSQL and cloud data lake/warehouse. Migrated data to Elasticsearch to improve data transfer efficiency and supported data engineering and DevOps teams with scalable automation.

Process System Analyst / Supply Chain projects (CPPE Inc.) at CPPE Inc.

July 1, 2012 - October 1, 2017

Led supply chain projects and analyzed data to identify opportunities for improvement; presented business leaders with ROI estimates for project planning and execution. Developed a recommendation system for parts suppliers based on price and lead time using VBA. Directed implementation of new business intelligence tools and supported onboarding processes. Created workflow diagrams and Gantt charts to clarify processes and timelines. Developed metrics and KPIs derived from company data to track improvements in organizational efficiency.