# Saagar Parikh

> Gen AI Inference @ Fireworks AI | CMU | IITGN

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

With a strong background in engineering, I’ve had the chance to work in areas like computer vision, Generative AI, and systems optimization. I am passionate about finding creative solutions that combine smart algorithms with hardware efficiency to tackle complex problems.

Always happy to talk about anything AI - let's connect!

## Work Experience
### Software Engineer @ Fireworks AI
Jan 2025 – Present | Redwood City, California, United States

### Machine Learning Engineer @ Pyxer Inc.
Jan 2024 – Jan 2024 | Santa Clara, California, United States
Enhanced the quality and accuracy of AI generated clothing by training and finetuning models on large-scale datasets. Spearheaded the development and launch of a portrait relighting and background replacement feature leveraging deep learning frameworks to enhance image realism and user experience.

### Graduate Research Assistant - TEEL Lab @ Carnegie Mellon University
Jan 2024 – Jan 2024 | Pittsburgh, Pennsylvania, United States
Designed programming content and auto-gradable assignments for the Machine Learning and Applications course on the SAIL platform

### Graduate Research Assistant - Cylab Biometrics Center @ Carnegie Mellon University
Jan 2023 – Jan 2024 | Pittsburgh, Pennsylvania, United States
Generated Digital Surface Models from multi-view stereo satellite images by optimizing NeRF for radiometric inconsistencies such as shadows, transient objects, and multi-date imagery. Utilized few-shot learning with Segment Anything Model (SAM) to enhance site-dependent building segmentation.

### Undergraduate Teaching Assistant @ Indian Institute of Technology Gandhinagar
Jan 2023 – Jan 2023 | Gandhinagar, Gujarat, India
ES654 - Machine Learning
Instructor: Prof Nipun Batra

### Undergraduate Teaching Assistant @ Indian Institute of Technology Gandhinagar
Jan 2022 – Jan 2022 | Gandhinagar, Gujarat, India
ES331 - Probability and Random Processes
Instructor: Prof. Shanmuganathan Raman

### Summer Undergraduate Research Fellow @ Caltech
Jan 2022 – Jan 2022 | Pasadena, California, United States
Formulated a robust active learning framework with automation in selecting the data points to be labeled to reduce human efforts by 90% and improve the performance of existing classification models such as DNN and XGBoost.

### Summer Research Intern @ Indian Institute of Technology, Guwahati
Jan 2021 – Jan 2021 | Guwahati, Assam, India
Created the Face R-CNN network from scratch in PyTorch after reviewing, analyzing, and modifying popular object detection models such as Faster R-CNN by introducing a revised loss function and a multi-scale training strategy.

### Intern @ eInfochips (An Arrow Company)
Jan 2020 – Jan 2021 | Ahmedabad, Gujarat, India
Learned about the steps involved in Application Specific Integrated Circuit (ASIC) Design Flow.


## Education
### Master of Science - MS
Carnegie Mellon University

### Bachelor of Technology - BTech in Electrical Engineering with Minor in Computer Science and Engineering
Indian Institute of Technology Gandhinagar

### Ahmedabad International School


## Contact & Social
- LinkedIn: https://linkedin.com/in/saagar-parikh
- Website: https://saagar-parikh.github.io/
- Website: https://github.com/saagar-parikh

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Source: https://flows.cv/saagar
JSON Resume: https://flows.cv/saagar/resume.json
Last updated: 2026-04-05