# Anirudh Mani

> AI/ML and Backend Systems | CMU CS ’26

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/anirudhmani

Machine Learning engineer focused on building production-grade ML systems end to end, spanning data generation, feature engineering, model training, calibration, evaluation, and deployment. Experienced in designing scalable pipelines for high-fidelity data and probabilistic modeling. Strong foundation in distributed systems, optimization, and model validation. 

SKILLS
Languages: Python, C++, Go, Java, JavaScript, SQL, HTML/CSS, Standard ML
ML & AI: PyTorch, scikit-learn, LightGBM, OpenCV, PyArrow, Platt Calibration
Systems & Backend / Tools: Django, React, REST APIs, MySQL, Distributed Systems, Async Processing, Load Balancing, Fault Tolerance, Data Pipelines, Git, Docker, Linux, Performance Optimization, AWS (EC2,ECS)

## Work Experience
### Machine Learning Engineering Intern @ Rockfish Data
Jan 2024 – Jan 2025 | Pittsburgh, PA
Rockfish delivers a Synthetic Data Generation Platform for operationalizing AI workflows

Designed and shipped data ingestion and labeling pipelines that automatically process and categorize synthetic datasets, reducing onboarding time and automating end-to-end data workflows with dynamic model selection
Optimized data-generation pipelines with refined sampling and epoch scheduling, improving end -to-end data throughput by 10% + (based on data complexity) and rare-distribution coverage
Developed fidelity metrics and conducted competitive benchmarking against Gretel and Mostly AI, delivering a 12% increase in synthetic data quality

### Software Engineer @ Bluebonnet Data
Jan 2022 – Jan 2024 | San Jose, California, United States
Curated Bluebonnet’s project repository - fixing broken links and replacing real voter data with synthetic equivalents - to deliver secure, ready-to-use examples for future cohorts

Developed SQL queries to extract demographic trends from the DNC BigQuery Warehouse

Embedded with political data campaigns for State Senate elections in Arizona’s District 9 and “Jeff Ettinger for Congress” in MN

Engineered voter distribution heat maps, elevating targeted outreach effectiveness by 30% versus the 2020 campaign

Blog: Data-Driven Doorknocking for Constituent-Centered Outreach Strategy (https://bit.ly/4fOpjzb)

### Software Engineer Intern @ ASSIST Lab Computational Media DepartmentUniversity of California, Santa Cruz
Jan 2022 – Jan 2023 | Santa Cruz, California, United States
● Developed Unity-based 3D VR assistive games to provide emotional support for 35 impaired teens

### Software Engineer Intern @ National STEM Honor Society (NSTEM)
Jan 2022 – Jan 2023 | Remote
● Member of Website and Technology Design Team
● Led team that redesigned NSTEM's home page and key landing pages to improve visitor experience, content access, and comprehensibility
● Led a team that manages day-to-day website operations.

### Lead Instructor and Coding Workshop Moderator @ San Jose Public Library
Jan 2022 – Jan 2023 | San Jose, California, United States
● Established new structured and interactive curriculum and weekly lesson plans for teaching online courses on Python and HTML at the San Jose Public Library


## Education
### Bachelor's degree in Computer Science
Carnegie Mellon University

### High School
Bellarmine College Preparatory


## Contact & Social
- LinkedIn: https://linkedin.com/in/ani-mani
- Portfolio: https://anirudhmani2005.com/
- GitHub: https://github.com/AniMani05

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Source: https://flows.cv/anirudhmani
JSON Resume: https://flows.cv/anirudhmani/resume.json
Last updated: 2026-03-29