Viren Vaviya

AI Researcher

Frankfurt, Hesse, Germany3 yrs 2 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in LLM Fine-Tuning and RAG Pipelines.
Strong foundation in Machine Learning and AI systems.
Proven experience in developing autonomous AI solutions.

Stackforce AI infers this person is a skilled AI/ML Engineer with expertise in developing autonomous systems and predictive maintenance solutions.

Contact

Skills

Core Skills

Predictive MaintenanceMachine LearningAgentic AutomationLarge Language Model Operations (llmops)Natural Language Processing (nlp)

Other Skills

Internet of Things (IoT)Python (Programming Language)algorithemData EngineeringAmazon Web Services (AWS)Geospatial DataSAMgeoLangSAMFine TuningMachine Learning AlgorithmsScikit-LearnpandasNumPyMatplotlibSeaborn

About

AI Engineer specializing in LLM Fine-Tuning, RAG Pipelines, and Agentic AI Systems built with LangChain and AutoGen. I bring a strong ML foundation into the Generative AI space designing systems that reason, retrieve, and act autonomously. Open to Senior AI/ML Engineer roles in Germany 🇩🇪. 📩 Let's connect if you're working on something ambitious in AI.

Experience

3 yrs 2 mos

Total Experience

1 yr 7 mos

Average Tenure

2 yrs 2 mos

Current Experience

U-glow

Machine Learning Engineer

Jan 2026 – Feb 2026 · 1 mo · Mülheim an der Ruhr, Nordrhein-Westfalen · Remote

Machine LearningPython (Programming Language)

Frankfurt university of applied sciences

2 roles

Machine Learning | IoT Predictive Maintenance

Promoted

Apr 2025 – Jul 2025 · 3 mos · On-site

Conducted applied research on predictive maintenance using Industrial IoT data and interpretable deep learning models.
Analyzed limitations of traditional maintenance strategies like PM and CBM
Investigated machine learning and deep learning approaches for predictive maintenance
Implemented Temporal Fusion Transformer to capture long-term temporal dependencies in sensor data
Performed comparative analysis with traditional ML and LSTM-based models
Evaluated model performance using accuracy, precision, recall, F1-score, and confusion matrix
Demonstrated improvements in early fault detection and system reliability

Predictive MaintenanceInternet of Things (IoT)Machine Learning

Masters Student

Mar 2024 – Present · 2 yrs 2 mos · On-site

Dev's club pvt. ltd.

AI/ML Engineer

Jan 2025 – Jun 2025 · 5 mos · India · Remote

Developed and optimized fine-tuned LLMs and agentic AI systems using LangChain, LangSmith, MCP, and RAG. Implemented MLOps and LLMOps pipelines for automated deployment, monitoring, CI/CD, and performance optimization, ensuring scalable and production-ready AI solutions.

Agentic AutomationLarge Language Model Operations (LLMOps)

Dev's club pvt. ltd.

Machine Learning Engineer

Aug 2022 – Aug 2023 · 1 yr · Surat, Gujarat, India · On-site

I worked as a Machine Learning Engineer, developing predictive models and completing an NLP
project using advanced NLP libraries. I handled diverse data types, including images, applying CNNs
for image tasks, and explored transformer architectures to enhance ongoing projects. My
responsibilities included end-to-end model development—from data preprocessing and feature
engineering to model evaluation and deployment, including deploying models on cloud platforms.

Natural Language Processing (NLP)algorithem

Brainybeam technologies pvt. ltd.

Summer Internship

Jun 2022 – Aug 2022 · 2 mos · Hybrid

Developed Machine Learning models using Python and libraries such as Pandas, NumPy, Matplotlib,
and Seaborn. Worked on data preprocessing, feature engineering, and exploratory analysis for
diverse datasets. Contributed to NLP based review analysis through text cleaning, tokenization, and
model evaluation techniques. Built end to end ML workflows covering data preparation, model
training, performance tuning, and deployment on Azure.

Python (Programming Language)Machine Learning