• Built and maintained backend services handling 5.2M+ monthly SMS with 98–99% uptime using Rust, TypeScript, and Python.​

• Contributed to a data pipeline ingesting and processing 10M+ records for targeted marketing, improving segmentation and reporting capabilities.​

• Refactored critical modules to boost throughput, cutting server load and API latency for high‑volume campaigns.​

• Integrated analytics and automation features that improved campaign targeting accuracy by 13–15% during initial rollouts.​

• Architected and shipped backend and frontend features with Next.js, Node.js, and GraphQL, reducing front‑end API calls by 45% and cutting average load times by 20–25%.​

• Led a cross‑functional team of 4–6 engineers to refactor a legacy Node.js system into Dockerized services, reducing unplanned downtime by ~28% and speeding up releases through CI/CD automation.​

• Partnered with product and design to launch 10+ user‑facing features that increased engagement and retention across the platform.

• Built and deployed high‑priority web modules using PHP, JavaScript, HTML, CSS, and XSL for the college’s public‑facing sites.​

• Diagnosed and fixed production issues, reducing critical bugs by ~40% and improving page reliability and load times.​

• Automated content workflows with Cron Jobs, cutting manual updates by ~30% and streamlining operations for the web team.

• Optimized Shell Sort algorithms for large-scale datasets, reducing average-case time complexity by 23% and improving sorting efficiency for datasets exceeding 1.5 million records.

• Designed and deployed advanced machine learning models, including Convolutional Neural Networks (CNNs), achieving 96% accuracy in early detection of hematological and oncological abnormalities in medical imaging.

• Researched and enhanced Multi-Path TCP (MPTCP) protocols, increasing data transfer efficiency by 42% across heterogeneous networks through simulations on CloudLab and FABRIC testbeds.

• Collaborated on large-scale network experiments, resolving kernel compatibility issues and improving real-world MPTCP performance by 27%, enabling seamless data transmission in diverse network environments.