● Proposed and implemented an innovative "data processing job" scheduling solution using SQS FIFO queue and Lambda functions, by conducting research on FIFO parameters to optimize dequeue latency while ensuring in-order operation. Engineered a special batch enqueue and batch dequeue operation, increasing message sending capacity by 1,000% and improving dequeue speed by 250%, resulting in significant improvements in both the performance and efficiency of the job scheduling system

● Led the transition of a critical AWS/Docker based system from vulnerable direct calls to a secure VPN-based API, creating a transition strategy that ensured zero customer downtime. This included adding 5+ new metrics for monitoring, and conducting extensive systems testing with 10+ edge case scenarios, reducing security vulnerabilities by 60% and improving peak API response time from 2 seconds to 0.6 seconds

● Spearheaded the implementation of a platform-wide data logging system to ensure compliance with cybersecurity regulations, collaborating with partner teams to define technical requirements, designing and developing the dataset for Production and QA environments, integrating API logging calls across 3 Lambda and Fargate container based applications, and conducting comprehensive end-to-end testing. This enabled the platform to meet requirements on time, capturing critical security data from 1,000,000+ customer interactions and improving compliance and data integrity

● Transformed a 20k+ line inefficient R and React based codebase into a modular, functionalized application by restructuring and optimizing the code, improving performance by 40% and reducing development time for future updates by 30%, delivering a more intuitive and faster solution than the previous version

● Developed a Google Forms and Excel/Python data collection toolkit to automate a previously manual and time-consuming data entry process, reducing task completion time from 1 hour to 5 minutes, which led to improvements in data dissemination abilities for the census bureaus of over 20+ low-income countries

Selected as a Teaching Assistant at NYU Tandon Computer Science Department.

Work included:

● Conducted office hours for 12 hours per week in regards to the Introduction to Programming course at NYU under Professor Peter DePasquale teaching computer science and software development principles

● Coordinated weekly Python programming labs for 40+ students problem-solving questions students had

● Initiated novel approaches to enhance student learning by recording 8 30-minute-long code lab solutions through Zoom during COVID-19 pandemic that was watched by 120 students

Developing the front-end My Projects page from scratch so users can better navigate the product.

Work included:

● Spearheaded UI / UX design of frontend dashboard for Scanifly, a 3D modeling company specializing in solar energy construction, with input from customer interviews and company executives utilizing HTML, CSS, React.js and Redux that is being utilized by 1000+ solar energy contractors

● Developed Express API in backend to pull project details from MongoDB database and output data on dashboard ~30% faster than existing PHP based solution

● Integrated 6 new sorting features such as Filter, Search and the Mapbox JS API into web application cutting project search time from 2+ minutes to under 5 seconds