Open to opportunities

Ram User

@ramuser8

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Seasoned Machine Learning Engineer specializing in NLP and scalable AI solutions.

Japan

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What I'm looking for

I seek roles building production NLP/ML systems where I can lead model development, optimize inference, and drive measurable business impact in collaborative, product-focused teams.

I am a seasoned Machine Learning Engineer with 10+ years of experience in NLP and data science, skilled at designing, developing, and deploying end-to-end machine learning solutions that drive measurable business impact. I specialize in large-scale data processing, model optimization, and enterprise AI systems, translating complex business challenges into scalable AI-driven solutions.

My recent work includes building RAG-based question-answering systems on Azure, developing PDF segmentation, NER and relation-extraction pipelines, feedback-validation services, and high-accuracy document classification services. I emphasize production-ready deployment (FastAPI/Flask, Docker, Kubernetes), model optimization (quantization, distillation), and cross-team collaboration to improve operational efficiency and decision-making.

Experience

Work history, roles, and key accomplishments

Current

AI Engineer

Current

MetLife

Mar 2025 - Present (7 months)

Built RAG-based question-answering systems using Azure Functions, Azure AI Service, Document Intelligence, and vector search to improve document retrieval and QA accuracy across business units.

RAG Azure Functions Azure Services Azure AI Document Intelligence Vector Search Embeddings fastAPI Document Processing

Senior Machine Learning Engineer

Healthcarenlp (Raadipinc)

Nov 2022 - Mar 2025 (2 years 4 months)

Led development of PDF segmentation, codability classification, NER and relation extraction, and a feedback validation service, improving medical coding F1-score by up to 7% and automating EHR information extraction.

NER Relation Extraction fastAPI BERT Cross Encoder Document Classification Validation

Technical Lead

Wipro Technologies

Mar 2020 - Oct 2022 (2 years 7 months)

Led offline product categorization and multilingual NLU pipelines using BERT/TinyBERT and language-specific NER/POS models, increasing classification F1 by 4% and enabling multi-language query understanding.

BERT Model Distillation NER POS Tagging Flask Huawei Cloud

Data Scientist

Innodatatics

Nov 2017 - Feb 2020 (2 years 3 months)

Developed churn prediction, BUY POINTS propensity models, RFM clustering, and association rule mining using PySpark and Random Forests to improve customer retention and marketing targeting.

Pyspark Random Forest Association Rules Churn Modeling SQL

Data Analyst

ExcelR

Nov 2014 - Oct 2017 (2 years 11 months)

Performed statistical data analysis and sales trend evaluation to inform competitive strategy and supported instructional materials for student assignments.

Statistical Analysis Data Visualization Reporting SQL Data Cleaning