Vishesh Srivastava

Vishesh Srivastava

Data Scientist & AI Engineer

AI/ML Engineer
Generative AI
Cloud & MLOps
Data Pipelines
IEEE Author

Professional Summary

I’m a Data Scientist & AI Engineer based in Dortmund, pursuing an MSc in Data Science at TU Dortmund (expected 2025). I bring 4+ years across software engineering and applied ML—building end-to-end pipelines, GenAI workflows, and cloud-ready data products. Recent work includes deep learning for visual defect detection at Robert Bosch GmbH and AI automation/pipeline engineering at AICU GmbH.

My focus areas span anomaly detection, NLP/LLM tooling, and reliable data engineering. I work primarily with Python (PyTorch, scikit-learn, spaCy, LangChain), FastAPI/Streamlit, SQL, Docker, and CI/CD (GitHub Actions), with hands-on exposure to AWS/Azure. I value clean, reproducible engineering and pragmatic, measurable impact.

Highlights: IEEE publication on autoencoder-based anomaly detection (2024), Hessen Ideas Scholarship (2023) for AI-driven project management automation, and a modular Streamlit toolkit for CSV cleaning, metadata inference, and agentic data operations. Languages: English (C1), German (A2).

Skills & Expertise

AI & Machine Learning

Deep Learning
Generative AI
NLP Pipelines
LLM Fine-Tuning
Agentic AI
Anomaly Detection
Computer Vision

Cloud & MLOps

AWS SageMaker
AWS Bedrock
AWS Lambda
AWS S3
AWS CDK
Azure (basic)
FastAPI
Docker
GitHub Actions
CI/CD Pipelines
Vector Databases (FAISS)

Programming & Data Processing

Python
TypeScript / JavaScript
C# / .NET
SQL
Pandas
NumPy
SciPy
MATLAB (basic)

Data Science & Analytics

Feature Engineering
Dimensionality Reduction
Clustering
Statistical Modeling
A/B Testing
Data Visualization (Matplotlib, Seaborn)
Power BI & Excel

Work Experience

AI Intern

AICU GmbH

Heilbronn, Germany (Remote)

July 2025 - Present

  • Designed modular AI pipelines for data preprocessing, training, and evaluation.
  • Automated workflows for AI-driven product management using Python and Streamlit.
  • Collaborated in agile sprints to deliver production-ready features for internal AI platform.
Python
Streamlit
Machine Learning
Agile
Data Pipelines

Master Thesis Research Student

Robert Bosch GmbH

Renningen, Germany

May 2024 - Jan 2025

  • Developed deep learning models (CNN, DNN) for defect detection in GFRP components.
  • Integrated AI pipelines into Bosch’s Industry 4.0 manufacturing quality systems.
  • Published IEEE paper: Autoencoder Optimization for Anomaly Detection (2024).
PyTorch
Deep Learning
Computer Vision
Defect Detection
Industry 4.0

ML/NLP Research Project (Scholarship)

Startup Scholarship – Campus Founders

Heilbronn, Germany

July 2023 - Dec 2023

  • Built LLM-powered chatbot for business workflows using LangChain & Hugging Face.
  • Developed NLP pipelines for entity extraction and context-aware responses.
  • Awarded Hessen Ideas Scholarship for AI-driven project management automation.
LangChain
LLMs
NLP
Python

Working Student – C# Developer

choyze GmbH

Heilbronn, Germany

Aug 2023 - Feb 2024

  • Enhanced backend C# applications for HR product features.
  • Optimized SQL queries and implemented REST APIs for new modules.
C#
.NET
SQL Server
REST APIs

Full Stack Developer

Freelance / India

Remote / India

Jul 2017 - Dec 2020

  • Built enterprise applications for petroleum refining and HR domains using .NET and SQL Server.
  • Developed scalable dashboards and CRUD apps with JavaScript, jQuery, and ASP.NET MVC.
  • Optimized SQL Server procedures and triggers for high-volume transactional systems.
C#
ASP.NET MVC
SQL Server
JavaScript
jQuery

Previous Experience

iOS Developer Intern

May 2017 - Jul 2017

ClickLabs

Education

Master of Science - MSc, Data Science

Technische Universität Dortmund

Dortmund, Germany

October 2021 - Expected 2025

GPA: 2.6

Hessen Ideas Scholarship (2023)
IEEE Publication: Autoencoder Optimization for Anomaly Detection (2024)
Upcoming Journal Publication on AI in Composite Manufacturing (2025)

Activities & Societies:

  • Research Student at Robert Bosch GmbH (Deep Learning for Quality Control)
  • AI Intern at AICU GmbH (AI-driven automation workflows)
  • Startup Scholarship Project (LLM/NLP workflows, Chatbot)

Bachelor of Technology - B.Tech, Information Technology

Guru Ghasidas Vishwavidyalaya

Bilaspur, India

August 2013 - April 2017

GPA: 2.3

Departmental recognition in final year project

Activities & Societies:

  • Full Stack Developer roles in Petroleum Refining & HR domains (2017–2020)
  • iOS Development Internship at ClickLabs (2017)

Hobbies & Interests

📚 Motivational Book Reading

Enjoy reading motivational and personal growth books to stay inspired and focused

🤖 AI Projects

Passionate about building and experimenting with AI/ML projects and innovative solutions

💡 Learning New Technologies

Always eager to explore and adopt emerging technologies to expand my skill set

🏊‍♂️ Swimming

Practicing swimming to stay fit and build a refreshing routine

📷 Photography

Learning photography to capture moments and explore creative perspectives