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Latasha Singh

@latashasingh

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AI/ML engineer building medical image segmentation models and a RAG document Q&A system.

India

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What I'm looking for

I'm seeking an entry-level AI/ML Engineer role.

At NIT Delhi’s Visual Computing and Robotics Lab, I designed CBAM-AnatomyASPP-UNet++, an attention-based architecture for multi-class lumbar spine MRI segmentation. I benchmarked it against seven architectures on the SPIDER dataset and validated results with ablation studies and statistical significance testing.

I also built DocuChat, a RAG-based PDF question-answering system using FastAPI, embeddings, and FAISS, with cited answers and session-based indexing. For data analysis, I cleaned and transformed 50,000+ records at ThinkNEXT Technologies Pvt. Ltd. and created interactive Power BI dashboards.

Experience

Work history, roles, and key accomplishments

AI/ML Intern

NIT Delhi

Feb 2026 - Aug 2026 (6 months)

Designed CBAM-AnatomyASPP-UNet++, a novel attention-based deep learning architecture for multi-class lumbar spine MRI segmentation. Benchmarked the model against 7 state-of-the-art architectures and validated results with ablation studies and statistical testing.

PyTorch Deep Learning Computer Vision Medical Image Segmentation UNet++CBAM ASPP Ablation Studies Statistical Testing

Data Analyst Trainee

ThinkNEXT Technologies Pvt. Ltd.

Jun 2025 - Aug 2025 (2 months)

Collected, cleaned, and transformed 50,000+ records using Python, SQL, Pandas, and Excel. Designed Power BI dashboards with KPI cards, trend analysis, and interactive filters; presented findings to stakeholders.

Python SQL Pandas Excel Power BI Data Cleaning data transformation Dashboard Design