# Martin Nikoltchev

> Google Staff Software Engineer - ML

Location: Redwood City, California, United States
Profile: https://flows.cv/martinnikoltchev

## Work Experience
### Staff Software Engineer @ Google
Jan 2024 – Present | Mountain View, California, United States
TL Horizontally responsible for ML / Gen AI across Cloud AI's Translate, Responsible AI, and NL offerings

### Senior Software Engineer @ Waymo
Jan 2020 – Jan 2024 | Mountain View, California, United States
TL for long term modeling projects around perceiving and tracking in construction zones.

### Software Engineer @ Google
Jan 2017 – Jan 2020 | Mountain View, CA
Deep Learning Engineer in Cloud AI, TL for ML Fairness / Adversarial Bias Mitigation.

### Summer Machine Learning Intern @ Salesforce
Jan 2016 – Jan 2016 | San Francisco Bay Area
•	Designed and deployed an intelligent predictive autoscaling engine which is estimated to reduce the infrastructure costs for the Salesforce IoT Thunder product by $2.5 million this year and by $50+ million per year after the product’s general release
•	The predictive autoscaling engine efficiently scales computing resources in the absence of initial data by conservatively learning to map from load to required resources and then predicting the future system load. The engine uses the models’ confidences in order to understand and adapt to the class of usage patterns it is experiencing, leading to a system that is robust to all usage patterns the IoT platform may encounter
•	Salesforce is actively pursuing a patent on this scaling engine built by myself and two other interns

### Summer Software Engineering Intern @ Bloomberg LP
Jan 2015 – Jan 2015 | Manhattan, NY
•	Developed a Bloomberg Terminal function to track the performance of and stress on Bloomberg's pricing engines in an effort to better predict future Bloomberg Terminal client outages
•	Restructured the backend of a heavily used Bloomberg Terminal function, which manages algorithmic trading pricing schemes, in order to reduce redundant data transmission
•	Worked primarily in C++ and JavaScript, while using the Scrum methodology for Agile development

### Summer Research Intern @ Rice University Department of Computer Science
Jan 2014 – Jan 2014
•	Worked on program synthesis, a form of artificial intelligence that can take a list of input output pairs and generate a non-trivial algorithm that emits each output when presented with its corresponding input
•	Built a constraint satisfaction package to find satisfying values for sequences of expressions and constraints
•	Worked primarily in Python and OCaml

### Summer Research Intern @ Rice University Department of Computer Science
Jan 2013 – Jan 2013
•	Worked in Dr. Wallach's Security lab to develop and prototype Star-Vote, a new voting system that uses end-to-end ElGamal cryptography, and homomorphic tallying to ensure vote counting integrity
•	Worked primarily in Java and implemented a large variety of security features including ballot hash chaining

### Research Intern @ Rice University Department of Electrical and Computer Engineering
Jan 2012 – Jan 2013
•	Assisted with research in attempting to reduce Exciton-Exciton Annihilation effects in Single Walled Carbon Nanotubes in an effort to increase the quantum efficiency of nanotubes.


## Education
### Bachelor’s Degree in Computer Science
University of California, Berkeley


## Contact & Social
- LinkedIn: https://linkedin.com/in/martin-nikoltchev-74730182

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