I am Afsha Noorain, an AI/ML Engineer with around 10 years of industry experience. I deliver data-driven insights and end-to-end ML/AI solutions that drive business growth and smarter decision-making across healthcare, insurance, telecom, and enterprise software. I excel at collaborating with cross-functional teams, translating complex data into practical recommendations, and implementing scalable pipelines using Python, SQL, and cloud platforms like GCP and Azure. I enjoy tackling challenging problems in NLP, deep learning, computer vision, and MLOps to enable rapid, reliable AI-powered outcomes.

Afsha Noorain

I am Afsha Noorain, an AI/ML Engineer with around 10 years of industry experience. I deliver data-driven insights and end-to-end ML/AI solutions that drive business growth and smarter decision-making across healthcare, insurance, telecom, and enterprise software. I excel at collaborating with cross-functional teams, translating complex data into practical recommendations, and implementing scalable pipelines using Python, SQL, and cloud platforms like GCP and Azure. I enjoy tackling challenging problems in NLP, deep learning, computer vision, and MLOps to enable rapid, reliable AI-powered outcomes.

Available to hire

I am Afsha Noorain, an AI/ML Engineer with around 10 years of industry experience. I deliver data-driven insights and end-to-end ML/AI solutions that drive business growth and smarter decision-making across healthcare, insurance, telecom, and enterprise software.

I excel at collaborating with cross-functional teams, translating complex data into practical recommendations, and implementing scalable pipelines using Python, SQL, and cloud platforms like GCP and Azure. I enjoy tackling challenging problems in NLP, deep learning, computer vision, and MLOps to enable rapid, reliable AI-powered outcomes.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Language

Afar
Advanced
Javanese
Advanced

Work Experience

Gen A.I / LLM Engineer at Crown Castle
January 1, 2024 - Present
Developed and implemented a POC for an automated document processing pipeline handling ~6,000 PDFs with free-form text, tables, and images. Converted content to structured JSON, fine-tuned an embedding model, and stored embeddings in Pinecone. Built a Retrieval-Augmented Generation (RAG) pipeline for document-based question answering and gap analysis to identify content shortfalls. Deployed on-premises Qwen for real-time inference, used OCR on images with Claude/Qwen, and automated end-to-end workflows with AI agents. Optimized performance via multi-threading and implemented data validation, version control, and model monitoring.
Data Scientist / Machine learning Engineer at Mercury Insurance
September 1, 2022 - December 1, 2023
Designed and implemented NLP solutions for the insurance domain, fine-tuned Gen AI/LLM models in Azure, and integrated NoSQL storage for unstructured data. Built NLP pipelines to extract insights from insurance claims, applied sentiment analysis to customer feedback, and implemented automated anomaly detection for fraud. Leveraged Databricks and Snowflake for scalable processing, optimized Azure data pipelines, established CI/CD, and created Power BI dashboards. Led A/B testing and mentored team members.
AI / ML Engineer at Baxter International
June 1, 2020 - September 1, 2022
Implemented and fine-tuned LLMs (LLaMA-3.1, Mistral, GPT-3/4, Gemini) on Vertex AI using organization data. Applied quantization (HQQ/AWQ) across 2–8 bit widths and leveraged LoRA/QLoRA/SLoRA for efficiency. Designed LangChain data pipelines, performed model distillation and pruning, and built end-to-end LLM pipelines on GCP with OpenAI APIs. Managed NVIDIA NIM microservices on GKE, configured autoscaling, added observability, and integrated OpenAI APIs. Established MLOps practices and documented experiments for reproducibility.
AI Engineer at Rodan + Fields
January 1, 2019 - May 1, 2020
Developed an LLM/NLP-based chatbot using Azure OpenAI Service (GPT-4) with SpaCy and NLTK. Implemented information retrieval and semantic similarity using Sentence Transformers, and built a middleware data layer to fetch and aggregate results. Created end-to-end NLP pipelines with Dataiku, H2O.ai, and Azure ML; applied causal inference and MMM for marketing insights. Set up NER with SpaCy/Azure Cognitive Services, integrated SQL and MongoDB, and deployed with Docker/Kubernetes (AKS). Documented architecture and results and mentored junior teammates.
Data Scientist at PLS Finance
June 1, 2016 - December 1, 2018
Led analytics projects from inception to completion, including objective definition, data prep, EDA, and scalable ML analyses. Built predictive models for credit outcomes, designed data pipelines, and used Python, R, and SQL to drive decisions. Applied time series analysis and hypothesis testing, implemented ensemble methods, and visualized results in Tableau/Power BI. Collaborated with stakeholders and documented methodologies and recommendations.

Education

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Qualifications

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Industry Experience

Telecommunications, Healthcare, Financial Services, Software & Internet, Consumer Goods, Life Sciences, Professional Services

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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