Dragon Star

Senior Web Developer

DanaPay•  March 2020 - August 2022

• Created and oversaw wireframe designs from client requests. • Led transition from firebase to AWS, saving company $3,700+ monthly and increasing load speeds by an average of 38%. • Created documentation to teach new team members company standards and best practices in React.js and Node.js. This shortened learning time by an average of 16 days. • Addressed complex issues with real-time lead prioritization using web socket connectivity. • Built mock designs and wireframes for landing pages for 5 new product concepts. • Created accessible, responsive, and functional user interfaces to allow visitors on any device to have the same perfect user experience. This process increased number of 5 star UX/UI reviews by 135%. • Created the user experience that fetched, parsed, and formatted analytic data, and relayed it into React components. • Collaborated on Complexity Score tool, which removed process bottlenecks by assigning scores to cost, time, and compliance issues, increasing efficiency by 72%.

Senior Machine Learning Engineer

Smarter Travel•  August 2019 - December 2021

• Used Pandas, NumPy, seaborn, SciPy, Matplotlib, Scikit-learn, NLTK in Python for developing various machine learning algorithms and utilized machine learning algorithms such as linear regression, multivariate regression, naive Bayes, Random Forests, K-means, & KNN for data analysis. • Led the migration from Oracle to Redshift using Amazon Athena and S3, resulting in an annual cost savings of $678,000 and an increase in performance of 14% • Designed and implemented a real-time data pipeline to process semi-structured data by integrating 150 million raw records from 30+ data sources using Kafka and PySpark • Designed the data pipeline architecture for a new product that quickly scaled from 0 to 125,000 daily active users • Maintained data pipeline up-time of 99.8% while ingesting streaming and transactional data across 8 different primary data sources using Spark, Redshift, S3, and Python • Automated ETL processes across billions of rows of data, which reduced manual workload by 29% monthly • Ingested data from disparate data sources using a combination of SQL, Google Analytics API, and Salesforce API using Python to create data views to be used in BI tools like Tableau

Chief Technology Officer

ZILLA - Events • Wallet•  August 2016 - January 2020

• Started as a backend developer. • After 6 months promoted as a CTO and led 11 team members. (iOS-2, Android-2, Frontend-2, Backend-2, designer-1, translator-2) • Planned project plan and gave tasks to developers. • Had a team meeting every Monday. (Every team member talked about their previous week’s work and that week’s plan.) • Reported project progress to the CEO every day. • Discussed with team members to help them understand requirements and plan. • Solved civil disputes between developers. • Identified issues, analyzed information and provided solutions to problems. • Developed and implemented performance improvement strategies and plans to promote continuous improvement. • Involved in many phases of Confidential using Agile methodology. • Used GIT as code repository, Webpack as module bundler, JIRA for bug tracking and Jenkins for continuous integration code deployment.

Senior Machine Learning Engineer

Shopbolt•  May 2018 - December 2019

• Worked with several R packages including knit, dplyr, Spark, R, Causal Infer, Space-Time. • Implemented Classification using supervised algorithms like Logistic Regression, Decision Trees, KNN, Naive Bayes. • Communicated with project managers and analysts about data pipelines that drove efficiency KPIs up by 26% • Built basic ETL that ingested transactional and event data from a web app with 12,000 daily active users that saved over $85,000 annually in external vendor costs • Worked with client to understand business needs and translate those business needs into actionable reports in Tableau, saving 17 hours of manual work each week • Used Spark to distribute data processing on large streaming datasets, improving ingestion and speed by 67% • Constructed a data pipeline to process semi-structured data by incorporating 100 million raw records from 14 data sources

Senior Web Developer

GasNinjas•  November 2014 - July 2016

• Developed user interfaces with modern JavaScript frameworks, HTML5, and CSS3, which improved user satisfaction by 31%. • Developed object-oriented code in Node.js with 100% accordance to industry and company standards. • Considered multiple threading, concurrency, design patterns, and their impacts on application concurrency. • Designed and developed web applications using JavaScript frameworks React.js and Angular.js to increase target audience engagement by 12%. • Monitored social media and Google SEO analytics to adjust post time, location, and various media to grow target platform by 20,000+ followers in less than a year. • Created a Mobile Responsive User Experience with CSS Flexbox that allowed cross-platform accessibility to the website on any device with primary use on mobile. This increased the number of 5 star User Experience/User Interface reviews by 360% • Built API following RESTful standards to allow users to submit information by storing data in MongoDB. • Partnered with data scientists to develop the front end for a product recommendation engine that increased user engagement on page by over 200%.

Rheinisch Westfälische Technische Hochschule Aachen

Computer Science, MS•  April 2006 - March 2010

⚡ I have studied basic software engineering subjects like DS, Algorithms, DBMS, OS, CA, AI etc. ⚡ Apart from this, I have done courses on Deep Learning, Data Science, Cloud Computing and Full Stack Development. ⚡ I was selected for Merit cum Means Scholarship which is given to top 10% of students in college. I have received award from respected director for consistently best performance in academics.