Yugesha Sapte

Software Engineer

Austin, Texas, United States10 yrs 10 mos experience

Highly Stable

Key Highlights

Led architecture for next-gen access services.
Boosted API performance by 96% at Shipwell.
Developed Statistical Machine Translator for NLP.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in SaaS and data-driven applications.

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Skills

Core Skills

Node.jsRest ApiIntegration ArchitectureDatabase CompatibilityFastapiMicroservicesPythonData ModelingJavaRestful ApiOracleJavascriptNlp

Other Skills

Data AnalysisMachine LearningSQLAWSSecurity ReviewsDocumentationAPI PerformanceSREPysparkWeb ScrapingCI/CDAgileStatistical Machine TranslationData MiningStatistics

Experience

10 yrs 10 mos

Total Experience

2 yrs 9 mos

Average Tenure

2 yrs 5 mos

Current Experience

Cloudflare

Software Engineer

Jan 2024 – Present · 2 yrs 5 mos

Led core architecture and development for posture-migration initiatives and Integration
Access 2.0, driving functional specifications, infrastructure design, repository structure, and
cross-team technical alignment, accelerating delivery of next-generation access and posture
services.
Onboarded OpenAI and Anthropic for Cloudflare AI Week, owning integration architecture,
security reviews, and end-to-end implementation to ensure seamless partner support for
high-visibility product launches.
Delivered critical FedRAMP FIPS 140-3 upgrades by proactively identifying DB-compatibility
blockers, validating component configurations, documenting compliance gaps, and coordinating
fixes across teams to ensure FIPS-ready deployments.
Led Slack Enterprise customer-zero enablement, improving hydration logic, resolving
high-severity customer-facing issues, and shipping multiple high-impact policy and S2S-403
remediation updates that increased enterprise reliability.
Improved cross-team reliability by surfacing early technical risks—such as posture-data
migration gaps and misconfigured Fed environments, documenting fixes and coordinating
long-term remediation to prevent recurrence.

Node.jsREST APIData AnalysisMachine LearningSQLJava+2

Shipwell

Back End Developer

Nov 2020 – Sep 2023 · 2 yrs 10 mos · United States

Building microservice for logistics financials using FastAPI.
Boosted API performance by 96% using profiling techniques and refactoring.
Improved operation team’s efficiency by implementing bulk shipment import feature.
Work on daily tasks involving development lifecycle for major features, change requests,
production issues, and implementing microservices.
Participate in SRE rotations to improve development support and improve quality.

FastAPIAPI PerformanceMicroservicesSRE

The university of texas at arlington - college of business

Graduate Teaching Assistant

Jun 2019 – Aug 2020 · 1 yr 2 mos · United States

Assisted professors in data collection and modeling for research projects by implementing automated web scraping tools, pyspark script for querying CSV data.
Maintain the UTA website for the management department.
Tech stack: Python, pyspark, Pandas, Beautiful Soup, Pattern Matching, Selenium

PythonPysparkWeb ScrapingData Modeling

Adp

Senior Member Technical

May 2015 – Jul 2018 · 3 yrs 2 mos · Pune

Uplifted the performance of migrating eI9 verification documents (around 3 million) on the cloud by developing Java utility tool using Multithreading and Batching techniques single-handedly.
Implemented payroll RESTful services to enhance user experience.
Stimulated the process of CI/CD by successfully migrating the company legacy products to the contemporary maven framework and deploying them on the new Jenkins server.
Tech Stack: JAVA, JSON, SQL Server, RESTful API, JavaScript, JDBC, MVC, Spring, HTML, CSS, Agile

JavaRESTful APICI/CDAgile

Harbinger group

Software Engineer

Nov 2012 – Apr 2015 · 2 yrs 5 mos · Pune

Developed US state-based tax, eI9, W-4, and other customized forms
Created a SQL script to migrate database data from old schema to the new schema.
Tech Stack : Oracle 10g, JavaScript, HTML, CSS.

OracleJavaScriptSQL

C-dac (formerly ncst)

Research Intern

Sep 2011 – Mar 2012 · 6 mos · Pune/Pimpri-Chinchwad Area

Developed a Statistical Machine Translator using the NLP tool (Moses Decoder) for processing bilingual corpus, tokenization, lemmatization, N-grams, and check the efficiency of the NLP tool.
IEEE Paper :
Statistical Approach for Language Translation (MT) using Natural Language Processing (NLP)
Accepted at International Conference on Communication Engineering and Technology (ICCET) 2012 - The paper includes the mathematical approach for language translation with a bilingual dataset.

NLPStatistical Machine Translation