Open to opportunities

Khushal Nagal

@khushalnagal

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I build AI, NLP, and analytics systems that turn complex data into actionable decisions.

India

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What I'm looking for

I'm looking for opportunities to build practical AI, machine learning, NLP, computer vision, and analytics solutions that turn complex data into actionable decisions, while continuing to learn from collaborative teams and real-world products.

I've built AI-driven healthcare and documentation systems with DRDO, PGIMER, and Superceuticals x DIC MDaRT. My work includes CohortIQ, an offline NLP/RAG application for trainee documentation, and multimodal computer-vision frameworks for acne diagnosis and facial skin-tone prediction.

I developed an acne detection system that achieved 97.98% detection accuracy on 5,126 dermatologist-validated clinical images, combining ResNet-18, Swin Transformer, EfficientNet-B3, YOLOv5, and patient history. I also worked with PGIMER clinicians on a 30-shade facial skin-tone classification framework that achieved 96.85% accuracy and 96.62% F1-score.

Beyond healthcare AI, I build practical analytics products using Python, SQL, Power BI, XGBoost, LangChain, and LangGraph—from customer risk intelligence and sales targeting to delivery cost-exposure analysis. I enjoy translating raw data and model outputs into clear, actionable recommendations while leading teams and large-scale events.

Experience

Work history, roles, and key accomplishments

AI/ML Intern

Defence Laboratory, DRDO Jodhpur

Jun 2026 - Jul 2026 (1 month)

Designed an AI-powered pipeline to automate trainee documentation, building CohortIQ, an offline NLP/RAG system using LangChain, Ollama, and ChromaDB. Deployed as a Streamlit application with a Power BI dashboard for trainee project intelligence.