Open to opportunities

Rohan Lala

@rohanlala

Message

Machine learning and data science engineer focused on scalable ML systems and production-ready pipelines.

United States

Message

What I'm looking for

I seek roles building production ML systems and pipelines where I can apply statistical rigor, improve reliability, and collaborate cross-functionally for measurable operational impact.

I am a machine learning and data science engineer with experience building NLP classifiers, scalable feature-selection frameworks, and production-ready ML deployments. I have delivered measurable impact—reducing manual triage time by 25%, cutting build cycles by 90%, and halving downtime incidents—by combining statistical rigor with engineering best practices.

I have worked across industry and research settings, designing end-to-end solutions from data pipelines and model development to CI/CD and cloud deployment on AWS and Google Cloud. I collaborate cross-functionally, communicate results clearly, and prioritize reliable, maintainable systems that drive operational improvements.

Experience

Work history, roles, and key accomplishments

Analyst II

Deloitte

Jul 2023 - Jul 2025 (2 years)

Built NLP classifiers for automated bug triage, reducing manual triage time by 25% and saving ~10 hours/week; designed CI/CD pipelines with Artifactory and SonarQube, reducing build cycles by 90% and improving delivery efficiency. Performed log EDA to identify failure patterns, cutting downtime incidents by 50% and delivering actionable recommendations for release stability.

Python NLP CI CD SonarQube Artifactory Statistical Modeling Jenkins Git

Globalink Research Intern

Mitacs

May 2022 - Aug 2022 (3 months)

Developed a scalable feature selection framework for crop genomics processing 50K+ genetic markers and applied advanced statistical modeling to improve regression robustness by 12%, informing agricultural data strategies. Delivered analytics and visualization reports to guide experimental planning.

Python Statistical Modeling Data Visualization Genomics regression

Product and Engineering Intern

HighRadius

Jan 2022 - Apr 2022 (3 months)

Built an AI-enabled invoice management prototype predicting payment timelines for 200+ invoices, improving forecasting accuracy and reducing manual tracking by 30%; implemented ML regression models and an end-to-end Python/SQL full-stack solution, accelerating invoice processing by 20%.

Python SQL Machine Learning regression Full Stack Forecasting Data Pipelines Financial Modeling

Education

Degrees, certifications, and relevant coursework

University of Southern California, Viterbi School of Engineering

Master of Science, Computer Science

2025 -

Pursuing Master of Science in Computer Science with coursework in Analysis of Algorithms and Foundations of Artificial Intelligence.

KIIT Deemed to be University

Bachelor of Technology, Information Technology

2019 - 2023

Grade: 8.96/10

Completed Bachelor of Technology in Information Technology with coursework in Operating Systems, Database Management, Cloud Computing, Big Data, and Machine Learning.