I'm a passionate software engineer with a strong foundation in full-stack development and data engineering. I love solving real-world problems with code, building scalable systems, and exploring modern cloud-native architectures. I'm also an active contributor to open source projects, especially in the areas of machine learning and Kubernetes.
- π Iβm currently working on: Cloud-native data platforms & distributed systems
- π± Iβm currently learning: Kubernetes internals, scalable data pipelines, and cloud infrastructure
- π― Iβm looking to collaborate on: Open-source projects and data-driven backend systems
- π¬ Ask me about: Python, React, DevOps, and Data Engineering workflows
- π« How to reach me: nitesh21@umd.edu
- π Pronouns: He/Him
- β‘ Fun fact: I can build a full-stack app faster than I can choose what to watch on Netflix π
- Languages: Python, C++, SQL, JavaScript, Java, R
- Frontend: React, HTML5, CSS3, Tailwind
- Backend: Node.js, Express.js, Django, Flask
- Data Engineering: Apache Airflow, Kafka, Spark, Snowflake, DBT
- Databases: MySQL, PostgreSQL, MongoDB
- DevOps & Cloud: Docker, GitHub Actions, AWS (EC2, S3, Lambda), Firebase, Kubernetes
-
KaizenFlow (AI Time-Series Framework)
- π οΈ Contributed unit tests for
compute_bar_start_timestamps()
function to improve test coverage and robustness acrossDataFrame
/Series
inputs and edge cases - π Issue #979 | PR #1013
- π οΈ Contributed unit tests for
-
Microsoft Cluster API Provider Azure (CAPZ)
- π§΅ Added a make aks-delete target to \textbf{Kubernetes Cluster API Provider for Azure}, eliminating manual teardown of AKS clusters and reducing cognitive load for thousands of developers; improved cost-efficiency and accelerated development cycles by aligning with existing workflow patterns.
- π Issue #5484 | PR #5576
- π§ AI Chatbot Assistant β Natural language chatbot built using Python & GPT API
- π DevPortfolio β A developer portfolio generator using React and Markdown
- π Stock Market Analyzer β Real-time financial dashboard using Yahoo Finance API
- βοΈ ETL Pipeline for Retail Analytics β Built a data ingestion and transformation pipeline using Airflow, Spark, and Snowflake