Personal Projects

Data Explorer Bot

Data Explorer Bot is a chatbot application that allows users to upload their files in CSV, XLSX or JSON format and ask questions about the uploaded datasets. With PandasAI, it is possible to make plots, return dataset summaries and perform other complex operations on pandas dataframes.

NASA Bot

NASA Bot is a chatbot application that uses the LangChain agent to converse with users and answer questions related to NASA news articles. Web pages from the NASA news website were scraped using BeautifulSoup. The text was then chunked and converted into embeddings, which are stored in the Qdrant vector store.

Real Time Weather Application

This is a mobile application that was created using Expo and React Native. A weather API was used to retrieve real time wather data from different locations. Additionally, expo location library was used to track the device location with Google Maps API to translate the coordinates to descriptive location names. This way, the weather information is always being pulled from the user's location.

Heart Disease Predictor App

Heart Disease Predictor app is a react app deployed using Azure Kubernetes Service. The model that was used to predict Heart Disease is a Voting Classifier that combines multiple diverse models such as Random Forest, XGBoost and Logistic Regression. The dataset used for this project is from UCI Machine Learning Repository.

Services

AI & Machine Learning Solutions

I design and build AI-powered solutions to automate tasks and uncover hidden patterns in data.

Designing custom chatbot solutions
Custom feature engineering and selection
Model training and deployment
Computer vision and NLP prototypes
End-to-end ML pipelines
Experiment tracking (e.g., MLflow, Weights & Biases)

MLOps & DevOps for Data Projects

I ensure machine learning systems are reproducible, testable, and production-ready.

CI/CD pipelines for ML workflows (GitHub Actions, Azure DevOps)
Dockerizing ML and data applications
Version control for datasets and models (MLflow)
Orchestrating workflows (Airflow)
Monitoring model drift and performance in production
Cloud deployment (AWS and Azure)

Cloud-Based Solutions

I design and implement scalable, secure, and production-ready solutions in the cloud, integrating data, AI, and modern infrastructure on AWS and Azure.

Architecting cloud-native applications using AWS (Lambda, EC2, API Gateway) and Azure (Functions, App Services).
Integrating machine learning models into cloud-hosted APIs and services.
Configuring cloud storage, databases, and serverless components.
Deploying cloud infrastructure with Terraform.
Setting up monitoring, logging, and alerts
Optimizing cost, reliability, and scalability for AI and data applications

Certifications

I have acquired multiple certifications from Cloud Native Computing Foundation, AWS, and Microsoft, validating my skills in Cloud Computing, AI, DevOps, Machine Learning, Kubernetes, and more. This is not an exhaustive list. You'll be able to see a full list of certifications on LinkedIn or upon request.