# Pramod Pai

> AI Software Solutions Engineer at Intel

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

Experienced ML Engineer currently pursuing a master's degree in Information Systems at Northeastern University. 

Contributor to the Towards Data Science Medium publication.

Contributed to open source at Huggingface Hub

My interest lies in making ML work in the real world.

## Work Experience
### AI Software Solutions Engineer @ Intel Corporation
Jan 2022 – Present | Boston, Massachusetts, United States
Serving LLMs.

### Machine Learning Co-op @ Wicket
Jan 2021 – Jan 2021 | Cambridge, Massachusetts, United States

### Machine Learning Intern @ Squark
Jan 2020 – Jan 2021 | Boston, Massachusetts, United States
• Formalized methods to explain predictions from ML models in production by implementing various model interpretability/explainability techniques such as Integrated Gradients, and SHAP
• Worked on a research project to explain sentence representations generated by a BERT model to the end-user using intuitive visualizations of scores assigned to the input words using the Integrated Gradients technique.

### Data Scientist @ instinctus.ai
Jan 2018 – Jan 2019 | Bengaluru, Karnataka
• Developed a short answer grading system using tree-based classification algorithms to achieve 89% accuracy on unseen data. Engineered features to capture semantic similarities between question-answer pairs.
• Devised a custom page-number recognition system employing the contouring function in OpenCV and a CNN with less than 100k parameters to achieve 99% accuracy on unseen data using transfer learning
• Delivered software APIs for AutoGrader, a platform for automated student assessment and feedback, in Python, adhering to OOP principles. Wrote unit tests and documentation for production-level code.
• Improved performance of an inference pipeline for a Resnet model in production. Reduced runtime of a bulk pdf-processing module by ~50% using multiprocessing in Python.
• Built a content-based filtering system for an e-commerce website to alleviate the cold-start problem. Generated top-N candidates using cosine similarities between product descriptions scraped from the client website.


## Education
### Master of Science - MS in Information Systems
Northeastern University

### Bachelor's degree in Electrical, Electronics and Communications Engineering
Visvesvaraya Technological University


## Contact & Social
- LinkedIn: https://linkedin.com/in/paipramod
- Portfolio: https://devpramod.medium.com/

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