Technical Handbook

In my tech journey, I’ve held diverse roles in both Data (Scientist, Analyst, Engineer) and Software Engineering (Fullstack, Backend, Data Platforms, Machine Learning). Such a varied background has ingrained in me the value of perpetual learning. From my undergraduate years to the present, I’ve ceaselessly honed my programming skills, research and analytical skills, tools, and frameworks, striving to excel in every endeavor. While the path isn’t always straightforward, my unwavering dedication to continuous learning and illustrating that transparently deeply resonates with my peers, aspiring engineers, and scientists.

I established this page to champion the spirit of lifelong learning, sharing insights I’ve gleaned from exploring diverse technologies. I hope these notes will aid your own learning journey.

Current Work & Personal Tech Stack: AWS, Docker, Kubernetes, Apache Pulsar, PySpark, Airflow, Flink, AWS Kinesis, Elastic Search, PrestoSQL / Trino, Gitlab CI/CD, Terraform, Python (Pandas, Numpy, Scikit-Learn, MLflow, Pytorch, Tensorflow, FastAPI, Flask, etc.)