About Me • Tech Stack & Skills • GitHub Trophies • Featured Projects • GitHub Stats • Let's Connect!

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🚀 About Me

• 🎓 Applied ML Engineer | MSc Data Science (TU Dortmund)
• 💻 Data Scientist with prior experience in full-stack software development
• 🔬 Research Focus: Predicting porosity in manufacturing processes using ML
• 💡 Passionate about AI, Machine Learning, NLP, Deep Learning, and building impactful solutions
• 🌐 Portfolio: visheshsrivastava.com

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🎉 Fun Fact

I’m happiest when turning messy, real-world data into clean, decision-ready apps and dashboards.

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🛠 Tech Stack

Python · SQL · PyTorch · TensorFlow · FastAPI · LangChain · Docker · AWS/Azure

Focus: Generative AI · NLP · ML Systems · Data Engineering

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🏅 Achievements & Recognitions

• IEEE IJCNN 2024 Publication — Autoencoder Optimization for Anomaly Detection: A Comparative Study with Shallow Algorithms.
• Journal of Composite Materials (2025) — Deep Learning-Based Defect Classification for Industrial Quality Inspection.
• Hessen Ideas Scholarship (2023) — Awarded for an AI-driven project automation initiative. — Supported an AI-driven project automation initiative.

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🏆 GitHub Trophies

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📊 GitHub Stats

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🌱 Open Source Contributions

I contribute across my own repos and community projects. PRs/issues visible in the Contributions tab.

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📝 Latest Blog Posts

Coming soon on visheshsrivastava.com and Medium.

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🌐 Let's Connect!

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⭐ Thanks for dropping by! If something here sparks an idea, let’s build it. 🚀

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