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- 🎓 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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I’m happiest when turning messy, real-world data into clean, decision-ready apps and dashboards.
Python · SQL · PyTorch · TensorFlow · FastAPI · LangChain · Docker · AWS/Azure
Focus: Generative AI · NLP · ML Systems · Data Engineering
- 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.
I contribute across my own repos and community projects. PRs/issues visible in the Contributions tab.
Coming soon on visheshsrivastava.com and Medium.
⭐ Thanks for dropping by! If something here sparks an idea, let’s build it. 🚀