Looking for a job

Yamini Singh

@yaminisingh2

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I build AI and machine learning systems for document intelligence, healthcare, and enterprise workflows.

India

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What I'm looking for

I'm looking to build practical AI and machine learning products, particularly in document intelligence, computer vision, healthcare, and enterprise automation, while growing through hands-on engineering work.

I'm building AI systems across document intelligence, healthcare, and enterprise engineering workflows. At STMicroelectronics, I developed RAG pipelines with LangChain for retrieval, reasoning, structured data processing, and contextual decision-making.

I also supported the People-Services eLeave platform using Java, JDBC, HTML, CSS, JavaScript, XML, and REST APIs, while contributing to PeopleSoft-to-Oracle HCM Cloud data migration.

My machine learning work includes a Keras churn model that achieved 79% test accuracy and deep learning research at CSIR on medical imaging, GANs, and knee osteoarthritis prediction, improving model performance to 88%.

I've built a rental-agreement metadata extraction system using PaddleOCR and Gemini, an AI-powered smart cane with 86.2% accuracy, and Fashion GANs in PyTorch. I also co-authored an IGI Global book chapter on assistive navigation for visually impaired persons.

Experience

Work history, roles, and key accomplishments

Project Trainee

ST Microelectronics

Jul 2025 - Jul 2026 (1 year)

Built retrieval, reasoning, and structured data processing pipelines (RAG) using Langchain to automate enterprise engineering workflows. Supported HR Leave application maintenance using Java and assisted in data migration from PeopleSoft to Oracle HCM Cloud.

Lang Chain RAG Java JDBC HTML CSS JavaScript XML REST APIs Oracle HCM Cloud Data Migration

Machine Learning Engineer

Afame Technologies

Apr 2024 - May 2024 (1 month)

Developed a binary classification neural network in Keras to predict customer churn, achieving 79% test accuracy. Used Pandas for data preprocessing and Matplotlib/Seaborn for exploratory visualization.

Keras Neural Networks Pandas Matplotlib SeaBorn data preprocessing Classification

ML Research Trainee

Council of Scientific and Industrial Research (CSIR)

Jul 2023 - Dec 2023 (5 months)

Conducted applied deep learning research in computer vision using PyTorch and TensorFlow for medical image analysis. Developed GANs for synthetic image generation and built deep learning models for Knee Osteoarthritis prediction with 88% accuracy.

PyTorch TensorFlow Deep Learning Computer Vision Gan Medical Imaging LLM Chatbot