Green Kwam

Senior AI Engineer

Agiloft

Feb 2022 - Feb 2025 (3 years 1 month)

Designed and deployed document intelligence solutions for contract processing using OCR, custom parsers, and Azure Document Intelligence. Led development of LLM-powered semantic search and summarization pipelines using OpenAI and Hugging Face models for long-form document QA. Built RAG pipelines combining embeddings, vector stores (FAISS/Chroma), and prompt templates to answer contract and finance-related queries. Implemented agentic workflows with LangChain and LlamaIndex to orchestrate multi-step document reasoning and tool use for summarization and clause extraction. Developed end-to-end ML pipelines (data ingestion preprocessing feature engineering training inference monitoring) using FastAPI, MLflow, and GitHub Actions. Migrated and co

AI Engineer

Vendavo

Oct 2019 - Feb 2022 (2 years 5 months)

Developed ML models for pricing and document-related NLP tasks, leveraging TensorFlow and PyTorch for feature-rich models. Implemented RESTful ML microservices to serve model predictions and integrated with enterprise systems for real-time decisioning. Built ETL and feature engineering pipelines to prepare large tabular and text datasets for supervised learning tasks. Deployed CI/CD pipelines with Jenkins and Docker to automate model packaging and deployment into staging and production. Managed inference infrastructure on AWS with autoscaling and cost-optimization strategies for steady throughput. Designed embedding workflows and similarity search components using FAISS to support semantic matching and catalog search. Authored model evaluat

AI/ML Engineer

Zocdoc

Jan 2017 - Oct 2019 (2 years 10 months)

Built NLP pipelines for document and text processing using spaCy, scikit-learn, and Transformers for entity extraction and classification. Designed and served ML models via REST APIs to support high-traffic consumer-facing features. Optimized data pipelines and ETL jobs for scalable pre-processing and training dataset generation. Implemented logging, metrics, and basic model monitoring to track prediction quality and system health. Worked with cross-functional teams to align ML outputs with product KPIs and user experience goals.

Software Developer

Walgreens

Nov 2012 - Dec 2016 (4 years 2 months)

Developed backend services and analytics dashboards supporting customer behavior insights using Python and SQL. Implemented recommendation and personalization services integrated with e-commerce pipelines. Optimized PostgreSQL queries and data access patterns for large-scale reporting and analytics tasks. Collaborated with data engineering teams to build stable ETL and reporting workflows.

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