Hi, I'm Himanshu Wagh

I'm a Data Science professional and M.S. graduate, passionate about building intelligent, data-driven systems. My work spans AI research, NLP, and generative modeling—where I turn cutting-edge theory into real-world applications.

With a strong foundation in Machine Learning, MLOps, and Python engineering, I’ve developed scalable AI solutions through academic research and industry collaboration. I’m currently seeking roles in Machine Learning, Applied AI, or Data Science to push the boundaries of intelligent automation.

📧 Let's connect and build something intelligent together. Email | LinkedIn

Programming Skills

Python R SQL HTML/CSS NumPy Pandas Matplotlib Seaborn Scikit-learn TensorFlow PyTorch Keras Jupyter Git Docker AWS Azure GCP Tableau MySQL Redis Elasticsearch Docker Kubernetes Machine Learning Artificial Intelligence Data Science Data Engineering Deep Learning NLP LLM RAG Prompt Engineering Reinforcement Learning Generative Adversarial Networks Generative AI Computer Vision Data Analysis Statistics Time Series A/B Testing FastAPI Flask Django Jenkins CI/CD

Publication

DyGAF: Dynamic Graph Attention Framework for COVID-19 Biomarker Identification

Bioinformatics and Biology Insights (2024) | DOI : https://doi.org/10.1177/11779322251325390

Developed an attention-based neural model for biomarker detection and COVID-19 diagnostics using gene expression data.
Achieved 94.23% classification accuracy by combining deep learning with traditional ML feature selection methods.

Made the model and codebase publicly available: GitHub Repository - DyGAF

Professional Experience

Graduate Research Assistant

Michigan Technological University, MI, USA

Aug 2024 – Present

Designed and implemented machine learning models to analyze complex genomic data, achieving 93% accuracy in predicting genetic interactions
Preprocessed large-scale biomedical datasets from NCBI, applying techniques like TMM normalization and advanced feature engineering

Graduate Research Assistant

Michigan Technological University, MI, USA

Dec 2023 – Aug 2024

Developed DyGAF, an attention-based neural model for COVID-19 biomarker ranking — published in Bioinformatics and Biology Insights (2024)

Software Engineer

Fyle Technologies, Bangalore, India

Oct 2021 – Apr 2023

Built an NLP pipeline for real-time receipt data extraction using Named Entity Recognition (NER), improving processing speed by 30%
Contributed to backend architecture in Python and C++ for scalable document analysis
Integrated AI models into production systems in collaboration with DevOps and product teams

Education

Michigan Technological University

Master of Science in Data Science

2023 - 2025

Savitribai Phule Pune University

Bachelor of Mechanical Engineering

2017 - 2021

Projects

SKILL BRIDGE

SkillBridge is a project that connects skills with opportunities, providing tooling and workflows to match, evaluate, and manage skill-based collaborations.

TypeScript React FastAPI

GitHub

GPT-OSS FROM SCRATCH

Built the entire transformer architecture from the ground up in PyTorch. GPT-OSS - a complete implementation that actually outperforms the original GPT-2 architecture on validation loss. Full transformer architecture and trained on TinyStories dataset.

Python LLM PyTorch Data Preprocessing

GitHub

RESEARCH PAPER TO BLOG

This project is a Flask-based web application that converts research papers into detailed blog posts. The application extracts text from the PDF, processes it using OpenAI's GPT-4 model, and generates a well-structured blog post in LaTeX format.

Python NLP C++ NER

Github

ViT FROM SCRATCH

Replicated and creating a Vision Transformer (ViT) from scratch using PyTorch. Then trained ViT, a state-of-the-art computer vision architecture, to perform on Sports Classification Mini problem.

Python ML Data Preprocessing Attention

Github

IceCube - Neutrinos in Deep Ice

This project was part of the kaggle competition, goal of which is to predict a neutrino particle’s direction. Develop a model based on data from the "IceCube" detector, which observes the cosmos from deep within the South Pole ice.

PyTorch GraphNet Pandas

Github