Pranav Sharan

• Completely redesigned the studio with several new features including using previous audio, previous images/videos, and support for new models for image generation/editing
• Built social media features end to end such as a public feed and ability to like and interact with other users' content
• Ran jobs in Modal with hundreds of containers for accumulating terabytes of data used for training

• Built a startup for an agentic music production tool meant to assist music producers during their workflow
• Built frontend with TypeScript and React, backend with Python, and agent framework with PydanticAI
• Got overwhelminlgly positive feedback from initial users, currently at over 100 users

• Worked across the stack to develop projects to increase conversion rate, new user signups, and paid monthly videos. Increased revenue by 2x and increased conversion rate by 30%.
• Rebuilt payment system and designed a robust system to work with Apple IAP and Stripe. Decreased latency of payments related endpoints by 50% and significantly simplified payments system.

• Joined Skyflow when company had 30 employees, currently has 120 employees
• Developed and presented several features end to end
• Worked on Data Pipelines team and created "Secure Data Pipelines" feature, an API-based, no-code tool for creation, maintenance, and execution of ETL pipelines in a secure environment
• Worked on Governance team and developed features for RBAC and PBAC of sensitive data in vaults
• Worked with Kubernetes, ArgoCD, Docker, Airflow, EKS, S3, Redis, MongoDB, Golang, Python

Worked as a Core Services SRE Intern under the Core Infrastructure branch. Gained significant experience in MySQL, Python, Go and HIVE.

• Created a dashboard for alerts for a production database that is used weekly by the team
• Streamlined load testing by writing an improved load test that is 4x faster than running previous tests
• Added encryption and decryption for AWS storage for an existing pipeline

Worked on a confidential project for Apple in the Siri Search team in the field of Big Data. Worked with Hadoop, HDFS, YARN, Kafka and other tools used in Big Data.

• Wrote several functions (ingestion, compaction, etc) for the creation of a 10 exabyte data store
• Worked with team to create most economically efficient data store possible
• Presented project in front of Senior Managers

Worked in Prof SE Sarma's lab to develop vision based programs. Successfully developed a program to automatically detect open spots in parking lots using background subtraction. Used OpenCV and C++.