• Engineering UI architectures using the latest software technologies and techniques using JavaScript, TypeScript, Node, and React.

• Lead the efforts to migrate front end microservices from Vue.js to React and adopt new technologies like Next.js and React Hooks

• Upgrade to new version of Vue.js and Vuex, refactor codes to improve maintainability, and add automated test coverage to ensure functionality is preserved

• Promote the adoption of modern technologies, including setting up Webpack bundle with Babel, ESlint, hot module reload, production mode to optimize product performance and improve code quality and dev workflow

• Improve hot module reload time by 50% for local development

• Reduce Webpack production bundle size by 50%

Leading a team of engineers to write, test, and produce great software on multiple frontend projects, as well as screening, interviewing, and training new developers.

• Working with Integrating back-end APIs and services feeding data to UI for enterprise level customers.

• Working on Developing server-less architecture using mainly AWS GLUE, Chalice and Python.

• Working on implementing Continuous Integration & Continuous Deployment (CI/CD) for the entire end to end processing.

• Led and helping team to develop and automate the existing data workflows; improved team’s productivity by 50%

• Using Highcharts and Javascript for building visualizations and UI for customer token flex reports.

• Balanced competitive requirements from different stakeholders on parallel projects; improved team’s velocity.

• Collaborated with multiple teams and management to design central data accuracy system; gained SOC 2 compliance

• Enhanced business processes by formulating reference manual and technical design documents; achieved tighter deadlines

• Grader for the course of Advance Object oriented programming as well as for Systems Programming course.

• The main responsibility was to assist the professor in preparing homework and grading the assignments along with helping students for doubts in the homework.

Also worked as a Research Assistant where the main role was to work on a research project using Machine learning algorithm in domain of Convolution Neural network and Deep learning.

• Worked on architect & develop systems and processes to collect, transform, store and enable analysis of structured and unstructured data and ensure data quality and integrity.

• Worked on creating oozie workflow , spark jobs, and then also apply machine learning models to give suggestions and improve the product based on customer feedback collected and analyzed.

• Worked with the big data analytics platform team to migrate legacy workflow to Apache Spark and Hadoop based system. My contributions involve developing the data migration solution using Apache Spark , Qubole, Splunk, Apache Oozie, Apache Hive, and AWS. The new pipeline workflow is aimed to tune data ingestion, transport, quality, and fast compute layers.