# Saarang Srinivasan

> Founding Engineer at Pika

Location: United States, United States
Profile: https://flows.cv/saarang

Current: Founding Engineer at Pika Labs — building cutting-edge text-to-video generation technology.

Interests: MLSys, Infra, AI/robotic agentic systems, and distributed systems.

Gold Medalist: Indian National Olympiad in Informatics (T10 India); 2x International Olympiad in Informatics Training Camp Qualifier (T30 India)

saarang123.github.io

## Work Experience
### Founding Engineer @ Pika
Jan 2025 – Present | Palo Alto, California, United States
Reality is optional.

https://pika.art/about

### Machine Learning Engineer @ Avoca
Jan 2024 – Jan 2025 | New York, New York, United States

### Course Dev & Teaching Assistant @ Purdue University
Jan 2024 – Jan 2024 | West Lafayette, Indiana, United States
- Course dev for CS381 Analysis of Algorithms: Developing homework/exam problems problems for the course spanning topics like dynamic programming, greedy, divide & conquer, etc.
- Teaching assistant for CS381: conducting office hours and collab hours for students to learn, discuss and collaborate over hoemworks.
- Class taken by 400+ students at Purdue and regarded as the hardest undergraduate CS class at Purdue.

### Algorithmic Game Theory Researcher @ Purdue University
Jan 2024 – Jan 2024 | West Lafayette, Indiana, United States
• Working with Dr. Simina Branzei, Phd student Reed Philips.
• Researching reinforcement learning strategies applied to repeated fair division and Stackelberg games.
• Investigated strategy convergence and equitable outcomes in the repeated ‘cake-cutting’ problem for two learning agents.
• Designed and implemented simulations to validate algorithms, achieving observations on strategy outcomes.

### Course Dev & Teaching Assistant @ Purdue University
Jan 2024 – Jan 2024 | West Lafayette, Indiana, United States
- Course dev for CS182 Discrete Math: Prepared problems for quizzes and other graded material for the course
- Conduct Practice Study Observation classes weekly as well as office hours
- Class taken by 800+ students in Purdue

### Software Engineer Intern @ Collins Aerospace
Jan 2024 – Jan 2024 | Cedar Rapids, Iowa, United States
• Built and certified flight control software for military Boeing KC-46 Pegasus.
• Designed and implemented new hardware configuration format for KC-46 Pegasus handling reducing file size by 72%.
• Built C/C++ tests to verify correctness of flight software based on composition analysis and MC/DC coverage.
• Automated data parsing and tracking with Python using ML, enhancing speed and accuracy of data handling by 30%.

### USACO Instructor @ X-Camp Academy
Jan 2023 – Jan 2024 | San Jose, California, United States
• Organized and taught a 2-week offline summer & winter camp to prepare students for USA Computing Olympiad (USACO) Silver.
• Taught data structures/algorithms topics such as binary search, graph theory, dynamic programming, and divide-and-conquer.
• Conducting and preparing mock contests and enhancement classes both in fall 2023 and spring 2024.

### Software Engineering Intern @ Hacklab Solutions
Jan 2023 – Jan 2023 | Bengaluru, Karnataka, India
• Built containerized AI product with server/client modules using Docker and Kubernetes for rapid deployment.
• Designed master server integrated with front-end dashboard, supporting Postgres/Redis for persistent storage.
• Implemented self-healing nodes, CI/CD, and load balancing with scalability in mind (MLOps/DevOps).
• Boosted deployment speed by 80% and reduced latency by 30% by optimizing memory accesses.

### Undergraduate Teaching Assistant @ Purdue University
Jan 2023 – Jan 2023 | West Lafayette, Indiana, United States
• Teaching assistant for CS211/311 ‑ Competitive Programming 1/2.
• Held office hours and helped organize course topics and problems.

### Undergraduate Data Science Researcher @ The Data Mine - Purdue University
Jan 2022 – Jan 2023 | West Lafayette, Indiana, United States
• Working with Webee.io and developed IoT and unsupervised learning solutions to determine causes for machine failure using sensor data for industrial machines.
• Enables customers to get real-time alerts for when a machine is behaving anomalously using machine learning.
• Performed data cleaning methods and linear regression to fill missing data, GMM clustering to partition machine sensor data.
• One-class SVM and LSTM model to generate a probability distribution to recognize outliers/anomalies.

### Problem Setter @ ICPC - International Collegiate Programming Contest
Jan 2021 – Jan 2021 | Bengaluru, Karnataka, India
- Designed and tested algorithmic problems for the ACM-ICPC Indian Regionals sites.
- These problems were attempted by 500+ teams nationwide during the regional contests.

### Research Intern @ Mistral Solutions Pvt. Ltd
Jan 2021 – Jan 2021 | Bengaluru, Karnataka, India


## Education
### Bachelor of Science - BS in Computer Science
Purdue University

### High School Diploma in Computer Science
National Public School

### AI Startup School
Y Combinator


## Contact & Social
- LinkedIn: https://linkedin.com/in/saarang-srinivasan

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Source: https://flows.cv/saarang
JSON Resume: https://flows.cv/saarang/resume.json
Last updated: 2026-04-10