# Surya Kasturi

> Software Engineer at Lendbuzz

Location: Boston, Massachusetts, United States
Profile: https://flows.cv/suryakasturi

## Work Experience
### Senior Software Engineer @ Lendbuzz
Jan 2021 – Jan 2025 | Boston, Massachusetts, United States
Lendbuzz is a unicorn startup in auto finance. I work on the Machine Learning team.

### Machine Learning Engineer @ PAII
Jan 2018 – Jan 2021 | Greater New York City Area
Founding engineer and team lead in New York office. Research on Knowledge-Grounded Conversational Modeling at DSTC7; AAAI 2019 and Schema-Guided Dialog State Tracking at DSTC8, AAAI 2020; Reading Comprehension; sentence selection; bootstrapping, low-resource and sparse modeling; Developed a large-scale answering engine and a conversational AI platform similar to Google Dialog Flow. Served as a reviewer for DSTC at AAAI.

### Research Assistant @ Advanced Digital Sciences Center (ADSC)
Jan 2017 – Jan 2017 | Singapore
Applied neural network distillation to forecast time series data generated from Chiller Plants. 
https://iarcs.illinois.edu/news/researchers-optimize-air-conditioning-units-max-efficiency
https://publish.illinois.edu/chiller-modelling-and-optimization/home/

### Software Engineer @ Scipy
Jan 2013 – Jan 2016
Core Maintainer at SciPy Central  https://github.com/scipy/scipycentral
https://central.scipy.org (closed)

### Software Engineer @ PwC
Jan 2015 – Jan 2016
Worked on transition to Google Cloud Platform. Developed novel proof of concepts. Lead a team
in building web application to manage, monitor, and audit Google Cloud resources used across
the organization. Used C#, VBA, Python, Flask, JavaScript.

### Research Assistant @ Indian Institute of Science
Jan 2013 – Jan 2014 | Bangalore, Karnataka, India
Worked on building Face Recognition and Detection models at Computational Intelligence Lab, Department of Aerospace Engineering

### Research Assistant @ Fraunhofer ESK
Jan 2013 – Jan 2013 | Munich Area, Germany
Automotive Connectivity Division; Developed a road traffic simulation tool that allowed predicting optimal advisory speed for vehicles based on stop light timings and traffic.

### Software Engineer @ Google
Jan 2013 – Jan 2013 | Remote
Google Summer of Code. Open source contributions to SciPy Central. StackOverflow like website where people share code snippets written in SciPy and NumPy libraries. Remained as core-contributor. Maintained the production server for a few years after the project.  https://github.com/scipy/scipycentral


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

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Source: https://flows.cv/suryakasturi
JSON Resume: https://flows.cv/suryakasturi/resume.json
Last updated: 2026-03-31