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I’m a Year 3 B.Comp (Honours) student at Nanyang Technological University (NTU) with strong experience building machine learning and generative AI systems. I’ve delivered end-to-end ML pipelines (feature engineering, modeling, evaluation, interpretability) and built real-time demos for learning analytics. I enjoy turning complex problems in manufacturing/semiconductors and education into robust, measurable solutions—using tools like Python, SQL, XGBoost, TensorFlow/PyTorch, FAISS/BM25, and Flask/FastAPI. I’m also interested in scalable AI workflows with LLM-based agents for content generation and automation.…I’m a Year 3 B.Comp (Honours) student at Nanyang Technological University (NTU) with strong experience building machine learning and generative AI systems. I’ve delivered end-to-end ML pipelines (feature engineering, modeling, evaluation, interpretability) and built real-time demos for learning analytics. I enjoy turning complex problems in manufacturing/semiconductors and education into robust, measurable solutions—using tools like Python, SQL, XGBoost, TensorFlow/PyTorch, FAISS/BM25, and Flask/FastAPI. I’m also interested in scalable AI workflows with LLM-based agents for content generation and automation.

Yash Agarwal

AI Engineer, Data Scientist, Software Engineer, +3

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I’m a Year 3 B.Comp (Honours) student at Nanyang Technological University (NTU) with strong experience building machine learning and generative AI systems. I’ve delivered end-to-end ML pipelines (feature engineering, modeling, evaluation, interpretability) and built real-time demos for learning analytics. I enjoy turning complex problems in manufacturing/semiconductors and education into robust, measurable solutions—using tools like Python, SQL, XGBoost, TensorFlow/PyTorch, FAISS/BM25, and Flask/FastAPI. I’m also interested in scalable AI workflows with LLM-based agents for content generation and automation.…I’m a Year 3 B.Comp (Honours) student at Nanyang Technological University (NTU) with strong experience building machine learning and generative AI systems. I’ve delivered end-to-end ML pipelines (feature engineering, modeling, evaluation, interpretability) and built real-time demos for learning analytics. I enjoy turning complex problems in manufacturing/semiconductors and education into robust, measurable solutions—using tools like Python, SQL, XGBoost, TensorFlow/PyTorch, FAISS/BM25, and Flask/FastAPI. I’m also interested in scalable AI workflows with LLM-based agents for content generation and automation.

Available to hire

I’m a Year 3 B.Comp (Honours) student at Nanyang Technological University (NTU) with strong experience building machine learning and generative AI systems. I’ve delivered end-to-end ML pipelines (feature engineering, modeling, evaluation, interpretability) and built real-time demos for learning analytics.

I enjoy turning complex problems in manufacturing/semiconductors and education into robust, measurable solutions—using tools like Python, SQL, XGBoost, TensorFlow/PyTorch, FAISS/BM25, and Flask/FastAPI. I’m also interested in scalable AI workflows with LLM-based agents for content generation and automation.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Beginner

Language

English

Fluent

Work Experience

Research Assistant at NIE

September 1, 2025 - May 31, 2026

Developed an interpretable AI system to detect and classify student confusion during learning. Combined MobileNetV2 facial emotion recognition, OpenFace Action Units, and SVM classification. Reported 87.3% CNN test accuracy and 0.89 confusion recall, and built a real-time Flask demo for session-level analysis.

AI Engineer at Micron Technology, Inc.

May 1, 2025 - August 31, 2026

Built an XGBoost regression pipeline to predict semiconductor test time across 100K+ observations and 45 test types. Incorporated log transformation, target encoding, and SHAP interaction analysis, along with a two-tier modeling approach. Achieved R2=0.82 and 15% MAPE, identified key test parameters driving 90%+ of time variation, and proposed a 39% test reduction using die-level Pearson correlation analysis across 3,400+ dies.

Research Assistant at NTU CCDS

April 1, 2025 - May 31, 2025

Extended a generative AI-based agent-oriented epidemic simulation model by identifying system bottlenecks and implementing new behavioral and structural features to improve simulation robustness.

Software Developer Intern at NIPS, India

June 1, 2024 - July 31, 2024

Designed and executed a hotel management database system using Python and SQL. Built CRUD functionalities and user interaction modules to manage reservations and customer records expected to be used by 50+ clients.