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Deshbhooshan (RID : 6v6vls2u5fb9)

designation   AI Engineer

location   Location : Bengaluru, India,

experience   Experience : 6.3 Year

rate   Rate: $16 / Hourly

Availability   Availability : Immediate

Work From   Work From : Offsite

designation   Category : Information Technology & Services

Shortlisted : 2
Total Views : 19
Key Skills
Machine Learning NLP Computer Vision AWS Webstack Devops Azure Python
Discription

An experienced professional with over 3.9 years in AI & Data Science and overall experience of 6.3 years of hands-on experience responsible for developing and implementing AI and ML solutions, collaborating with cross-functional teams, building and deploying models, and maintaining them to ensure they continue to meet business requirements. Skilled in Python, Flask, TensorFlow, PyTorch, and AWS, NLP using Deep learning, Transformers using Huggingface and GenerativeAI using LLMs(ChatOpenAi, LLama1, LLama2) using Langchain and pipelines workflow and Computer Vision Techniques using CNN & YOLO models. Passionate about using AI to solve complex problems and improve business processes.

Python (Pandas, Numpy, Regex, Scikit learn, Matplotlib, Seaborn, SciPy, NLTK)

Machine Learning (Fundamentals, Linear & Logistic Regression, Naive Bayes, K-NN, Decision Tree, Random)

NLP (Fundamentals, Text Preprocessing, Vectorization, Word2Vec, TF-IDF, RNNs, LSTM, OpenAI Chatbot, Transformers with pipeline workflows)

Computer Vision (CNN, YOLO[V7, V8, Yolo-NAS] models, Transformers[Vision, Swin, Detection], OpenCV library)

AWS (EC2, S3 Bucket Lambda Function, Machine Learning, SageMaker)

Web Stack (Flask, Heroku, Streamlit, AWS EC2 instance)  IDE (Spyder Notebook, Jupyter Notebook, VS-Code)

DevOps (GIT, GitHUb)  RDBMS (MySQL)  Visualization Tools (Tableau)

Azure (Container Registry, Azure Cognitive Services-LUIS, SDK app, ML Model prediction)  PAAS (Docker)

 
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