# Neil Chitre

> Senior Software Engineer at NeuroRPM Inc

Location: Washington DC-Baltimore Area, United States
Profile: https://flows.cv/neilchitre

I am a software professional with over 6 years of experience in Backend software engineering and Machine Learning, currently working as a Senior Software Engineer at NeuroRPM Inc.
I hold a Master's degree in Data Science from the University of San Francisco.

My expertise spans Python, SQL, Java, and JavaScript, with a proven ability to design and implement scalable backend systems, develop RESTful APIs, and build efficient data pipelines using technologies such as Flask, AWS Lambda, DynamoDB, Docker, Elasticsearch and SpringBoot.

In the realm of machine learning, I have developed models using Scikit-learn and applied techniques such as regression, decision trees, random forests, and boosting to solve real-world problems. I also have hands-on experience with MLFlow for managing machine learning workflows and model experimentation.

My experience in software engineering combined with my skills in machine learning, positions me as a versatile professional capable of developing end-to-end solutions.

Hit me up if you want to chat about innovative software solutions, the latest thriller novels, or this weekend's football (soccer) game.

## Work Experience
### Software Engineer @ NeuroRPM Inc.
Jan 2023 – Present | Washington DC-Baltimore Area

### Data Science Engineer @ Boost
Jan 2022 – Jan 2023 | San Francisco, California, United States
▪Implemented a scalable ETL pipeline using Python, Spark, and Apache Airflow to fetch sports data from APIs and store it in PostgreSQL database, resulting in a 30% reduction in data errors.
▪Built a Natural Language Generation (NLG) system using directed acyclic graphs (DAGs) to transform various API data feeds into auto generated, real-time game recaps for the English Premier League.
▪Developed an accurate sports prediction model using the ELO ratings algorithm, achieving an 83% accuracy in forecasting win probabilities for teams across multiple leagues, including EPL, NBA, and NFL.
▪Created comprehensive test cases using Python’s unittest framework to achieve 100% code coverage
ensuring reliability of critical application components.

### Senior Software Engineer @ Philips
Jan 2018 – Jan 2022 | Bengaluru, Karnataka, India
▪Led a team of 3 developers in engineering a Python application using Flask and RabbitMQ, that streamlined the onboarding process of new customers, reducing onboarding errors by 50%.
▪Architected and executed a highly scalable database schema on PostgreSQL for a medical platform called ROCC, reducing query times by 40%.
▪Designed and developed secure REST APIs using Java SpringBoot and Python, connecting the ROCC user interface with backend infrastructure; reducing API response time by 25%.
▪Deployed over 5 microservices on Kubernetes using Docker containers, ensuring high availability.
▪Wrote fast and efficient queries using GraphQL API, reducing the application load time by 24% and 
patient connect time from 8 seconds to 3 seconds.
▪Implemented the entire frontend application for ROCC using React.JS, Typescript, Redux and Node.JS,
enabling real-time communication between radiologists and technologists.
▪Deployed a Flask application on an AWS EC2 instance, ensuring seamless access to the application.
Configured Nginx as a reverse proxy to enhance performance, scalability, and security.
▪Collaborated with cross-functional teams to troubleshoot issues, resulting in timely resolution of defects and improved system reliability.

### Data Science Intern @ WAi Technologies
Jan 2017 – Jan 2017 | Pune Area, India
▪Collaborated with the development team to build a Recommender System for educational modules,
using Matrix Factorization to predict ratings for each user and item, enabling customers to discover relevant and engaging content.


## Education
### Master of Science - MS in Data Science
University of San Francisco

### Bachelor of Technology - BTech in Computer Science
Manipal Institute of Technology


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

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