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I am an AI Engineer and Machine Learning Researcher with hands on experience building and deploying intelligent systems that combine data driven learning, reasoning, and automation. Currently pursuing my Master’s in Artificial Intelligence at the University of Michigan, I specialize in LLMs, agentic AI frameworks, and computer vision applications. I have designed and implemented end-to-end ML pipelines using Python, PyTorch, TensorFlow, and scikit-learn, and have developed real world AI solutions from an LLM-powered telemedicine assistant using RAG and LangGraph, to vision-guided navigation and predictive analytics frameworks. My strength lies in translating complex research ideas into scalable, production ready models.…I am an AI Engineer and Machine Learning Researcher with hands on experience building and deploying intelligent systems that combine data driven learning, reasoning, and automation. Currently pursuing my Master’s in Artificial Intelligence at the University of Michigan, I specialize in LLMs, agentic AI frameworks, and computer vision applications. I have designed and implemented end-to-end ML pipelines using Python, PyTorch, TensorFlow, and scikit-learn, and have developed real world AI solutions from an LLM-powered telemedicine assistant using RAG and LangGraph, to vision-guided navigation and predictive analytics frameworks. My strength lies in translating complex research ideas into scalable, production ready models.

Neha Basugade

AI Engineer, Data Analyst, AI Developer, +1

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I am an AI Engineer and Machine Learning Researcher with hands on experience building and deploying intelligent systems that combine data driven learning, reasoning, and automation. Currently pursuing my Master’s in Artificial Intelligence at the University of Michigan, I specialize in LLMs, agentic AI frameworks, and computer vision applications. I have designed and implemented end-to-end ML pipelines using Python, PyTorch, TensorFlow, and scikit-learn, and have developed real world AI solutions from an LLM-powered telemedicine assistant using RAG and LangGraph, to vision-guided navigation and predictive analytics frameworks. My strength lies in translating complex research ideas into scalable, production ready models.…I am an AI Engineer and Machine Learning Researcher with hands on experience building and deploying intelligent systems that combine data driven learning, reasoning, and automation. Currently pursuing my Master’s in Artificial Intelligence at the University of Michigan, I specialize in LLMs, agentic AI frameworks, and computer vision applications. I have designed and implemented end-to-end ML pipelines using Python, PyTorch, TensorFlow, and scikit-learn, and have developed real world AI solutions from an LLM-powered telemedicine assistant using RAG and LangGraph, to vision-guided navigation and predictive analytics frameworks. My strength lies in translating complex research ideas into scalable, production ready models.

Available to hire

I am an AI Engineer and Machine Learning Researcher with hands on experience building and deploying intelligent systems that combine data driven learning, reasoning, and automation. Currently pursuing my Master’s in Artificial Intelligence at the University of Michigan, I specialize in LLMs, agentic AI frameworks, and computer vision applications.
I have designed and implemented end-to-end ML pipelines using Python, PyTorch, TensorFlow, and scikit-learn, and have developed real world AI solutions from an LLM-powered telemedicine assistant using RAG and LangGraph, to vision-guided navigation and predictive analytics frameworks. My strength lies in translating complex research ideas into scalable, production ready models.

Skills

Experience Level

Expert

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Intermediate

Work Experience

Machine Learning Research Associate at University of Michigan

April 1, 2025 - April 1, 2025

Led supervised research analyzing environmental pollution’s impact on social well-being, overseeing study design and data analysis. Applied linear regression and Pearson correlation to examine relationships between pollution levels and health markers. Directed evaluation of emotional responses to environmental changes through behavioral assessments and tracking. Built Gradient Boosting and Random Forest models achieving 90% accuracy in mood prediction from environmental factors.

Computer Vision Research Assistant at Shivaji University

July 1, 2024 - July 1, 2024

Developed a deep CNN for melanoma classification, leveraging advanced preprocessing, noise reduction, augmentation to improve feature extraction from dermoscopic images and support automated cancer screening. Tackled severe dataset imbalance (441 melanoma vs 32k benign samples) with CWM-SMOTE, Class Weighting, and Focal Loss. Improved model fairness, sensitivity, and generalization to minority melanoma cases while reducing overfitting issues. Enhanced classification accuracy by 19%.

Data Analytics Intern at India (Data Analytics Internship)

May 1, 2022 - May 1, 2022

Designed robust analytical solutions using AWS services (S3, SageMaker, EC2) to store, process, and analyze large-scale datasets. Built scalable data pipelines automating ingestion, cleaning, and transformation for efficient processing AI/ML model inputs. Optimized cloud infrastructure to improve system performance and reduce data processing time by 92.3%. Developed interactive dashboards and visual reports to communicate insights to stakeholders, enabling informed decision making.