I am a passionate Software Engineer and AI and DATA Enthusiast, currently pursuing my M.S. in CS at San Jose State University. With a strong foundation in Machine Learning, Deep Learning, and Cloud Technologies, I focus on building intelligent and scalable solutions across various domains, including Natural Language Processing, Computer Vision, and Generative AI.
🔭 I’m currently working on: Developing predictive models and AI-driven applications to solve real-world problems.
🌱 I’m currently learning: Advanced techniques in Large Language Models (LLMs) and cloud-based AI deployments.
💬 Ask me about: Machine Learning, AI, Data Engineering, and Cloud Integrations.
📫 How to reach me: LinkedIn or Email
⚡ Fun fact: I love exploring new AI frameworks and contributing to open-source projects.
- Python, R, C++, MATLAB
- MySQL, PostgreSQL, MongoDB, Cassandra, Snowflake, PL/SQL, Hadoop, Spark, Hive, Kafka
- TensorFlow, Keras, PyTorch, Scikit-Learn, OpenCV, Hugging Face, LangChain, LangGraph
- Tableau, Power BI, Matplotlib, Seaborn, Plotly, Google Data Studio
- AWS (EC2, S3, Lambda, SageMaker), Vertex AI, Docker, Kubernetes, FastAPI, Flask, Streamlit, Salesforce
- MLFlow, DVC, Experiment Tracking, Grafana, Argus, Splunk
- Hypothesis Testing, A/B Testing, PCA, SVD, ANOVA, Bayesian Inference
- Machine Learning, Deep Learning, NLP, Computer Vision, Generative AI, Transformers, Autoencoders, Diffusion Models, Predictive Modeling, Regression, Classification, Clustering, Time Series Forecasting, Data Mining, Data Pipelines
- Docker, Kubernetes, Terraform, GitHub Actions
- Git, GitHub, Jupyter Notebook, Visual Studio Code
📌 Technologies: Python, Scikit-Learn, Streamlit, GridSearchCV, Matplotlib, Joblib
📅 Date: Jan 2025
- Developed a churn prediction model using Logistic Regression, SVM, KNN, Decision Trees, and Random Forest, achieving 94.5% accuracy with GridSearchCV optimization.
- Built and deployed a Streamlit web app for real-time predictions, integrating data preprocessing, feature engineering, and model training, with Joblib for persistence and Matplotlib for insights.
📌 Technologies: Python, Pandas, NumPy, Matplotlib, Seaborn, Statsmodels
📅 Date: Oct 2024
- Conducted exploratory data analysis on time series data, applying resampling, autocorrelation, and stationarity tests to identify trends, seasonality, and anomalies.
- Developed interactive visualizations using Matplotlib and Seaborn, including line plots, moving averages, and ACF plots, to interpret time-dependent patterns and smooth fluctuations.
📌 Technologies: Python, Scikit-Learn, OpenAI API, Gemini API, Matplotlib, Seaborn
📅 Date: May 2024
- Implemented sentiment analysis using Large Language Models (LLMs) with OpenAI (ChatGPT) and Google Gemini APIs, leveraging zero-shot and few-shot learning for classification of customer reviews.
- Performed data preprocessing, including text cleaning, class balancing, and feature engineering. Integrated batch API processing to handle large datasets efficiently, evaluated model performance using confusion matrices and accuracy metrics.
📌 Technologies: Python, Scikit-Learn, t-SNE, PCA, Matplotlib, Seaborn
📅 Date: Jan 2024
- Built a predictive model for human activity recognition using smartphone accelerometer and gyroscope data, applying signal processing techniques such as Butterworth filtering and feature extraction in the time and frequency domains.
- Applied PCA and t-SNE for dimensionality reduction and visualization and optimized classification models (Logistic Regression, SVM, Decision Trees, Random Forest) with hyperparameter tuning and cross-validation for robust activity detection.
🏆 Salesforce Certified AI Associate
🏆 Salesforce Certified Administrator
🏆 Salesforce Certified Platform Developer I
🏆 Salesforce Certified Platform Developer II
🏆 Salesforce Certified Platform App Builder
☁️ AWS Academy Cloud Foundations
📌 Advanced Hybrid Machine Learning Approaches for Detecting Plant Leaf Diseases
📖 Published in International Journal of All Research Education & Scientific Methods
🔗 Read the Paper
📧 Email: pingmebharathkumar@gmail.com
🔗 LinkedIn: linkedin.com/in/bharath-kumar-a-6a378b182/
🐙 GitHub: github.com/abharathkumarr