- As an Artificial Intelligence Enthusiast,Through a combination of academic courses and self-driven projects, I have established a solid skill set in machine learning, deep learning, generative AI, and data science. My educational background has given me a strong theoretical basis, and I've been able to use these ideas in a variety of practical contexts through side projects. I now have practical expertise with a variety of AI models and approaches for jobs like computer vision, natural language processing, and the creation of original content. I have developed competence in data science approaches, such as data collecting, preprocessing, exploratory analysis, and predictive modeling, in addition to my focus in artificial intelligence. I regularly participate in AI communities and attempt to contribute to the field since I am driven by an insatiable curiosity.
- +91 6369195528
- venkatlovenkatesh@gmail.com
- https://mr-venkat.netlify.app/
- https://www.linkedin.com/in/venkatesh-j-415806217/
- https://lovenkatesh.blogspot.com/
- https://x.com/lovenkatesh
- Proficient in Python programming language with expertise in object-oriented programming (OOP) principles and modular programming.
- Experienced in implementing and analyzing efficient data structures and algorithms for solving complex problems.
- Skilled in developing and deploying both supervised and unsupervised learning algorithms, including principal component analysis (PCA), and well-versed in probability and statistics concepts.
- Proficient in data analysis, data visualization, exploratory data analysis (EDA), data modeling, data engineering, pattern recognition, and predictive modeling techniques.
- Experienced in building and training deep learning models, including artificial neural networks (ANN), convolutional neural networks (CNN), recurrent neural networks (RNN) such as gated recurrent units (GRU) and long short-term memory (LSTM), image processing, transfer learning, and hyperparameter tuning.
- Skilled in NLP techniques such as tokenization, stemming, lemmatization, bag of words, and word2vec.
- Proficient in using various libraries and frameworks, including TensorFlow, Scikit-learn, NLTK, Keras, PyTorch, Pandas, NumPy, OpenCV, Streamlit, and MediaPipe.
- Experienced in model monitoring, model tracking, model packaging, containerization, model deployment, version control systems, and continuous integration/continuous deployment (CI/CD) practices.
- Knowledgeable in large language models (LLM), Langchain, retrieval-augmented generation (RAG), fine-tuning, Langserve, prompt engineering, and Langsmith.
- Proficient in working with cloud platforms such as AWS, Azure, and Google Cloud Platform.
- Skilled in using various tools, including Git, MLflow, Microsoft Excel, Docker, and Power BI.
- Experienced in working with databases such as MongoDB (NoSQL) and MySQL (relational).