Hey! I'm Allen, a highly motivated Computer Science Master's graduate (GPA 3.96) from New York University with 3 years of experience in software and data engineering. I am adept in Python, Java, Haskell, and distributed systems, with a proven ability to optimize processes, develop scalable solutions, and lead high-impact projects.
Graduated with a CGPA of 3.96/4.0
Graduated with a CGPA of 8.33/10.0
As a Data Engineer at Firebird, I developed an Airflow DAG to incrementally load data from an S3 bucket into partitioned BigQuery tables, which resulted in a 99.8% reduction in ingestion time and an annual saving of $10K by eliminating full table refreshes. Additionally, I utilized the GPT-Vision API to analyze and interpret social media images for over 50,000 artists, identifying key engagement trends that directly informed the marketing team's content strategy and provided actionable insights for artists.
During my time as a Software Engineer at Juspay, I significantly contributed to optimizing our gateway scoring service by implementing algorithms, which boosted customer success rates by up to 30%.
I took ownership of the refunds vertical, scaling its processing capabilities to over 1 million transactions (median transaction value: ₹5,000) by introducing a Redis-based distributed producer-consumer workflow, refund sub-status tracking, and unified HTTP error handling.
My work included building Prometheus and ClickHouse dashboards for real-time metric analysis, which ensured a 98% refund success rate and 99.999% uptime, drastically reducing incident response times and informing cross-functional product architecture improvements. I led backend development in Haskell and Groovy for new refund features and gateway integrations, actively mentoring new team members, and successfully migrated code from Purescript(Javascript) to Haskell, resulting in a 95% cost reduction.
Additinally, I designed and maintained a microservices-based distributed system capable of processing over 100 million daily transactions, implementing fault-tolerance patterns and load balancing strategies to consistently maintain high availability and performance.
During my internship at IIT Bombay, I researched and implemented deep learning techniques for 3D point cloud segmentation using TensorFlow. This work, which utilized the TF Core API, enhanced the accuracy and efficiency of complex geometric analyses. We trained the model on the ROSE-X dataset, achieving an accuracy of 92%. This model was subsequently used to count the number of leaves and calculate the Leaf Index Area for a given plant.
As a Site Leader for the NYU Alternative Breaks program, I spearheaded a trip to Camp Campbell in California, where I was responsible for organizing the itinerary and leading reflection activities for the NYU cohort. At Camp Campbell, my co-leader and I led our cabin (go Raccoon cabin!!), overseeing daily activities, ensuring the well-being and safety of our campers, and facilitating a positive and engaging experience.
As a member of NYU's Give Where You Live Cohort, I volunteered at God's Love We Deliver. In my role as an Individual Volunteer, I assisted in preparing and delivering nutritious meals to individuals in need.
I was a Project Collaborator for the CC Catalog repository, where I helped build a community of active contributors and maintain the repository. I made a significant contribution by integrating 30 million images from the Europeana dataset into the CC Catalog using Apache Airflow DAGs. You can view this pull request here.
I independently created, contributed to, and currently maintain an open-sourced Google Chrome extension called Save for Later. This web extension, designed for both Chrome and Firefox, allows users to save all tabs in their current window for later use. It has achieved significant success, boasting over 15.1k all-time installations and maintaining an impressive 4.8-star average rating.
Led our robotics team to 1st place among 1,050 teams in a national competition, integrating real-time technology, maze traversal algorithms, image recognition, robotics design, electronics, and machine learning.
As a core committee member for my undergraduate department's annual tech fest, I played a crucial role in its successful execution. My responsibilities included the end-to-end organization and management of two major quiz competitions. Beyond event coordination, I also took charge of designing and creating all essential promotional materials, such as posters, event tickets, and informative banners, utilizing design tools like Canva and Illustrator to ensure maximum visual impact and attendee engagement.
Here are some of the projects I've worked on
If you have any queries or offers, you can contact me in the following ways