Nidhi Baindur

Software Engineer · Distributed Systems & Mobile

Open to software engineering opportunities

Hey, I'm Nidhi, a software engineer with 2 years of industry experience owning backend, cloud, and mobile systems for Prep N Print, Ecolab's highest revenue digital product. The platform supports 1B+ labels annually across 64K locations. I build scalable APIs and data pipelines across Azure, SQL, and Kusto DB, and lead high-accuracy mobile printing in React Native and Skia.

At Rochester Institute of Technology, I studied Computational Mathematics and completed five research engagements spanning machine learning, climate networks, computational biology, econometrics, and institutional data. I presented my climate research nationally and led TEDxRIT. I'm now exploring software engineering roles where I can bring together careful systems thinking, data, and thoughtful product design to own meaningful problems end to end.

Experience

Designed core architecture for a full backend overhaul, applying transactional outbox and claim-check patterns to strengthen message reliability and handle large payloads across distributed workflows.
Owned the end-to-end backend design and delivery of Reprint Sharing and Restoration, enabling cross-device recovery across 64K customer locations.
Owned the backend translation and localization implementation end to end.
Developed scalable APIs integrating SQL, Kusto DB, Azure Service Bus, and queueing systems to increase throughput and fault tolerance.
Built CI/CD pipelines and automated production deployments for stored procedures, tables, and configuration changes, eliminating manual steps and reducing deployment errors.
Optimized critical stored procedures to reduce query latency and improve reliability under peak load.
Built Azure Data Factory pipelines for operational data ingestion and transformation, improving freshness and reducing engineering toil.

Led the mobile print pipeline, owning React Native features and Skia-based rendering from preview through printer output.
Implemented label-to-print workflows that preserve layout fidelity, scaling, and output accuracy across diverse enterprise printer hardware.
Implemented Elastic observability for the Prep N Print web portal, enabling teams to track and analyze errors, application data, and key metrics.
Partnered with backend, product, and QA teams to ship production-grade mobile features with strong performance, stability, and cross-platform consistency.

Research Experience

Designed a 95%-accurate machine-learning model for twelve-month ENSO forecasting using complex networks—a novel approach in a domain with limited long-range predictability.
Processed and modeled 500K+ sea-surface temperature data points across 75 years using time-series analysis, probabilistic methods, Random Forests, and network metrics.
Presented findings at the 2024 NSBE Conference and RIT Research Symposium from 2022–2024, and received Emerson Summer Research Fellowships in 2022 and 2023.
Earned RIT's Advanced Certificate of Achievement, Undergraduate Research Scholar recognition, and Euler Award for Excellence.

Read the RIT research feature Visit Dr. Malik's Complexity Lab

Studied relationships between cryptocurrencies and forward inflation expectations using time-series and statistical analysis.
Built predictive models to evaluate signals and potential future trends.
Presented the work with Sylvia Eisenberg at the 2023 UPSTAT Conference and received RIT's Euler Award for Excellence in research.

View the UPSTAT 2023 program

Developed mathematical and computational models of jasmonic acid biosynthesis.
Applied systems modeling to study the dynamics of a plant biosynthesis pathway across two research terms.

View the research group

Investigated the role of bacterial outer membrane vesicles in sepsis detection.
Conducted hands-on summer research as an Inclusive Excellence Undergraduate Research Fellow in RIT's Michel Lab.

View the Michel Research Group

Contributed to institutional research examining graduation gaps within RIT's School of Mathematical Sciences.
Worked with faculty researchers to better understand differences in student outcomes and opportunities for improvement.

View the research overview

Leadership & Recognition

Helped restart TEDxRIT and co-organized the 2024 “Letters to the Future” event as part of a two-person leadership team.
Managed licensing, speaker interviews and preparation, budgets, sponsorships, accessibility, marketing, volunteers, and production logistics.
Coordinated campus partners, technical crews, interpreters, speakers, and attendees to deliver the live event.

Visit TEDx at RIT Watch the 2024 event video

Represented the College of Science at open houses, student programs, and prospective-student events.
Helped prospective students and incoming first-years navigate academic and campus life.
Contributed to the College of Science Student Advisory Board throughout all four undergraduate years.

Visit the College of Science Ambassadors

Supported more than 150 residents across three years and built programming around their academic, social, and community needs.
Served as the sole RA for a special-interest floor of more than 50 Computer Science House residents.
Nominated for the H. Preston RA of the Year Award and named an honorary member of Computer Science House.

Learn about RIT Resident Advisors

Selected as RIT's second Newman Civic Fellow for community leadership and commitment to expanding access to education.
Joined a national network of student changemakers focused on public problem-solving and engaged citizenship.
Later received RIT's 2024 Legacy Award for lasting leadership impact at RIT and in the Rochester community.

Read the RIT fellowship profile

Taught mathematics, French, and science to children with limited access to individualized educational support.
Led projects for ELI ENDEMIC, organizing cleanups and public awareness efforts around Mauritius' endemic flora.
Represented the organization in cross-NGO collaboration focused on environmental preservation.

Selected Recognition

Advanced Certificate of Achievement: RIT Undergraduate Research Scholar · 2024
Undergraduate Research Scholar: RIT College of Science · 2024
RIT Legacy Award: 2024
Bernoulli Award: SMS Citizen of the Year · 2024
Emerson Summer Research Fellowship: 2022 & 2023
Euler Award for Excellence: Outstanding research · 2023
Nathaniel Rochester Society Scholarship: Academic and leadership merit · 2022
Newman Civic Fellow: 2021 – 2022

Education

Rochester Institute of Technology

Aug 2020 – May 2024

Rochester, New York

B.S. Computational Mathematics, Cum Laude

Minor in Computer Science · Immersion in Creative Writing

Relevant Coursework

Time-Series AnalysisOptimizationMachine LearningArtificial IntelligenceComplex NetworksGraph TheoryNumerical AnalysisMathematical ModelingProbability & StatisticsAbstract AlgebraReal AnalysisData Management

Skills

Core Engineering

I build production systems with C#, .NET, Python, SQL, Java, C, REST APIs, System Design, Distributed Systems, and Localization.

Product, Mobile & Web

For product-facing work, I use React Native, React, Angular, Skia, and Elastic Observability.

Cloud, Data & Architecture

My cloud, data, and distributed-systems toolkit includes Azure, Azure Data Factory, Kusto DB, Azure Service Bus, CI/CD, DevOps, Transactional Outbox, and Claim Check.

Machine Learning & Analysis

My modeling and analysis experience covers Random Forests, NetworkX, Time-Series Forecasting, Regression, Statistical Modeling, Model Evaluation, and Data Processing.

Selected Projects

Built a cross-computer Morse code communication system in Python.
Used socket programming to exchange messages securely through a focused terminal interface.

Developed a time-series model to study relationships between cryptocurrencies and forward inflation expectations.
Used statistical analysis to evaluate signals and predict future trends.

Links

Resume/nidhi-baindur-resume.pdf

Emailnidhibaindur@outlook.com

LinkedInin/nidhi-baindur

GitHubgithub.com/nidhibaindur3