# Puja Chaudhury

> Robotics Software Engineer at Laza Medical

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

Robotics Software Engineer working on real-world robotic systems across robotics and system software. I build and integrate ROS based systems, hardware-in-the-loop testing, and safety aware control, with experience spanning industry and research. Always happy to talk tech, whether you’re in industry, academia, or just curious about robotics. Feel free to reach out

## Work Experience
### Robotics Software Engineer @ Laza Medical
Jan 2024 – Present | Campbell, California, United States
- Developing hardware in the loop test plans, resulting in more reliable system operations and testing procedures.
- Directed the development of wireless connectivity solutions between IC tablets and PCs over ROS, significantly improving communication and data transfer efficiency.
- Established and refined data collection protocols for NDI sensors, substantially increasing the precision and reliability of our data inputs.
- Designed and implemented a local Apt-Cache for Mender and pre-commits, optimizing development workflows and speeding up deployment cycles.

### Graduate Robotics Researcher @ Northeastern University
Jan 2024 – Jan 2025 | Boston, Massachusetts, United States
- Under Prof. Michael Everett, developing and optimizing algorithms that leverage reachability analysis with verification in the loop to efficiently learn neural network controllers for autonomous systems, ensuring safety constraints are met while guiding the system towards desired goal states.
- Exploring the combination of neural network-based control approaches with formal methods such as reachability analysis,, to synthesize provably safe and high-performance controllers for complex systems operating in uncertain environments, while maintaining computational tractability.

### Outreach Lead @Northeastern @ GDSC
Jan 2023 – Jan 2024 | Boston, Massachusetts, United States
- Led the outreach team at GDSC Northeastern, organizing over 10 tech events in 5 months. Handled everything from planning to finding and talking to speakers, and working with other clubs to get everything ready on time.
- Took charge of setting up events, from coming up with ideas to making them happen. This involved choosing topics, reaching out to experts to speak, and coordinating with other clubs for bigger and better events.

### Software Developer @ MosaiQ Labs
Jan 2021 – Jan 2022 | London, England, United Kingdom
- Led the development of the company's flagship product MVP with React.js and JavaScript boosting early adopter engagement by 40%.
- Enhanced page load efficiency by 30% through strategic implementation of code splitting and lazy loading techniques in Next.js.
- Integrated Google Analytics with BigQuery for real-time user interaction resulting in accelerated bottleneck identification by 50% significantly enhancing overall user experience.
- Improved API efficiency with caching and better data practices, cutting server load and boosting response times for a smoother user experience.

### Machine Learning Research Intern @ University of Memphis
Jan 2021 – Jan 2021 | Memphis, Tennessee, United States
- Under Prof. Bonny Banerjee, preprocessed the IEMOCAP (approx. 12 hours) and RAVDESS (approx. 24 hours) datasets by removing silences through energy-based Voice Activity Detection (VAD) and normalizing volume using global mean and variance normalization, improving data quality for analysis.
- Applied a proprietary university-developed model to the dataset, leading to a significant increase in the accuracy of emotional output prediction in speech.

### Machine learning Research Intern @ Vellore Institute of Technology
Jan 2020 – Jan 2020 | Vellore, Tamil Nadu, India
- Under Prof. Prabhakar Karthikeyan, implemented real-time pre-processing on the IEX dataset, accounting for 30% of India's energy transactions, using advanced techniques to enhance data quality and usability in open-access digital channels.
- Applied Machine Learning techniques, such as Long Short Term Memory in Python, yielding valuable insights and future price predictions with an R2 value of 0.75.
- Disseminated the research at the prestigious International Conference and Utility Exhibition on Energy, Environment and Climate Change (ICUE) and engaged with a diverse audience of 200+ industry professionals.


## Education
### Master of Science - MS in Khoury college of computer science
Northeastern University

### Bachelor of Technology - BTech in Electrical and Electronics Engineering
Vellore Institute of Technology


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

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Source: https://flows.cv/pujachaudhury
JSON Resume: https://flows.cv/pujachaudhury/resume.json
Last updated: 2026-04-01