🛠️ My Tech Arsenal

• Languages: Java, Python, C/C++, Scala, JavaScript
  The core trio that I wield across projects, each with its unique superpowers. Whether it’s Python’s adaptability, Java’s robustness, or JavaScript’s interactivity, these languages are my go-to tools for crafting efficient solutions.

• Frameworks & Libraries: ReactJS, Spring Boot(MicroServices, SpringAI), Spark, Kafka
  From powering responsive UIs with ReactJS to building resilient backend services with Spring Boot, these are the engines that bring my ideas to life. Spark and Kafka fuel my data processing workflows, ensuring seamless streaming and analysis at scale.

• Databases: MySQL, Snowflake, MongoDB, PostgreSQL
  Databases are where the magic of data happens. MySQL for reliable relational storage, MongoDB for flexible NoSQL solutions, and PostgreSQL for complex queries effortlessly, and Snowflake takes data warehousing and analytics to the next level with its cloud-native architecture – they’re the vaults where I manage and safeguard data treasures.

• Cloud Platforms: AWS, Azure, Google Cloud, Databricks
  My applications take flight on the cloud stage, with AWS, Azure, and Google Cloud enabling scalability and reliability. Databricks powers my big data and machine learning workflows, transforming raw data into actionable insights.

• AI/ML & Data Science: Pandas, NumPy, scikit-learn, logistic regression, random forest, gradient boosting, neural networks etc. Building, training, and evaluating models—from classical algorithms to advanced deep-learning architectures.

• DevOps & Data Tools: Git, Docker, Kubernetes, Airflow
  Keeping projects streamlined and scalable requires the right tools. Git for version control, Docker and Kubernetes for containerization and orchestration, and Apache Airflow for automating complex data pipelines. These tools ensure every project is efficient, reproducible, and ready to grow.