naga vamsi reddy satti

naga vamsi reddy satti

AI ML Engineer
United Kingdom
English

نبذة عني

AI/ML Engineer with hands-on experience in designing, training, evaluating, and deploying machine learning and deep learning models. Strong background in Python and SQL with practical experience across the full ML lifecy…

الخبرة

Research Intern (Machine Learning)

Teesside University, Middlesbrough, UK
Jan 2024 - Jul 2024 · 6 أشهر

Designed and trained deep learning models for medical image classification (Monkeypox detection).
Performed image preprocessing and augmentation.
Evaluated models using standard metrics.
Integrated trained models into a Flask-based web application enabling real-time inference for end users.

Research Intern (Machine Learning)

Teesside University, Middlesbrough, UK
Jan 2024 - Jul 2024 · 5 أشهر

Designed and trained deep learning models for medical image classification (Monkeypox detection)., Performed image preprocessing and augmentation; evaluated models using standard metrics., Integrated trained models into a Flask-based web application enabling real-time inference for end users.

Machine Learning Intern

Techno Labs AI Solutions, India
Jan 2022 - Jun 2022 · 5 أشهر

Built ML pipelines using Python and scikit-learn, including data cleaning, feature engineering, training, and evaluation.
Collaborated on integrating model outputs into a Flask-based web interface.

Machine Learning Intern

Techno Labs AI Solutions, India
Jan 2022 - Jun 2022 · 5 أشهر

Built ML pipelines using Python and scikit-learn, including data cleaning, feature engineering, training, and evaluation., Collaborated on integrating model outputs into a Flask-based web interface.

المهارات

أوراق الأنماط المتتالية (CSS) جافا لينكس بايثون (لغة برمجة) لغة الاستعلامات الهيكلية (SQL) ويندوز (نظام تشغيل) فلاسك (إطار عمل لتطبيقات الويب باستخدام Python) منصة GitHub للتعاون على تطوير البرمجيات جافا سكريبت كوتلن نومباي (مكتبة لغة Python) التكامل المستمر / التسليم المستمر دوكر تحرير الصور الرقمية Bash HTML REACTJS Supervised & Unsupervised Learning Feature Engineering Model Training & Evaluation Data Preprocessing CNNs RNNs Transfer Learning Xception EfficientNetB0 Model Training (Epochs Batch) LLM Fundamentals RAG Embeddings Prompt Engineering scikit-learn PyTorch Pandas Stream lit MLflow DVC GitHub Actions Fast API REST APIs Azure ML Azure OpenAI Azure AI Search Azure Blob Storage Git Airflow VS code Jupyter notebook macOS ReactJS Supervised Learning Unsupervised Learning Model Training Model Evaluation Streamlit FastAPI VS Code Jupyter Notebook
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