Bioinformatics Pipelines• Automated installation of 10TB gene database across 115 nodes using Linux Bash and Python subprocess.• Constructed a gene alignment model with Keras that achieved 90% accuracy on a dataset of 1.5 million data.• Created an automated alignment tool that improved efficiency by 40% when processing over 1 million sequences.Benchmarking & Analysis• Designed and evaluated 2 caching algorithms that reduced query latency by 39% by processing 2 million queries.• Developed a testbed comprising Python, PostgresSQL, and Docker to evaluate the performance between Redis and ReadySet caching technologies.• Implemented concurrent computing, speeding data retrieval by 100% while decreasing computing time by 50%.

• Explored Salesforce’s rich history, innovative technology, and future vision with 100 students from 50 colleges globally.• Gained invaluable insights into Salesforce’s inclusive culture by engaging in 2 open discussions with the Chief Equality Officer and recent intern classes.• Sharpened my career readiness and technical skills, through participating in 2 mock interview sessions with personalized feedback from experienced Salesforce employees.

• Automated server deployment on Digital Ocean to reduce workload by 30% by adopting Terraform, Ansible, and Cloudflare.• Migrated CrossCompute Jupyter Extension to v0.4, reduced 30% latency with React, JavaScript, and Python.• Released an open-source software to help 500 students better prepare for exam using CrossCompute SDK.

• Delivered Scratch, Thunkable, and Python lessons to 20 children from 4 countries. • Guided students in making practical game-based projects. • Enhanced company's curriculum by incorporating lessons on gender equality and environmental protection.

• Collaborated with 11 developers to build a homepage for Google Developer Student Club, utilizing React, FireAuth, and Firestore.• Hosted 3 workshops on Google open-source tools including Flutter & Teachable Machine for 25 students.• Mentored 5 individuals on a 4-month hackathon project leveraging MERN, APIs, Flask, and web crawler.