Yashwanth Y S

Product Engineer

Pittsburgh, Pennsylvania, United States4 yrs 7 mos experience

AI EnabledHighly Stable

Key Highlights

Developed cross-platform automation solutions using NLP.
Engineered single sign-on features enhancing user experience.
Contributed to multimodal machine learning projects.

Stackforce AI infers this person is a Machine Learning and Software Engineering specialist in the SaaS industry.

Contact

yashwany@andrew.cmu.edu LinkedIn

Skills

Core Skills

Machine LearningSoftware Engineering

Other Skills

APIAPI TestingAnalyticsAndroidAutomationAzure Active DirectoryAzure DatabricksBashC (Programming Language)C++Cascading Style Sheets (CSS)Continuous IntegrationDeep LearningElasticsearchExtract, Transform, Load (ETL)

About

🎓 Currently pursuing my Master’s in Computational Data Science (MCDS) at Carnegie Mellon University, with over three years of industry experience in both research-oriented and fast-paced development environments. 💻 I have worked extensively on NLP-based projects and macOS/iOS development during my time at Citrix R&D and Samsung R&D, where I contributed to building cross-platform solutions and leveraging machine learning for product enhancements. Additionally, I have experience in web development and enjoy exploring new technologies to solve real-world problems. Currently focusing more on exploring LLMs and its applications during my master's. 🛠️Skills: Programming Languages: C++, Python, Swift, Objective-C, JavaScript, SQL Libraries/Frameworks: PyTorch, Keras, TensorFlow, Scikit-Learn, NumPy, OpenCV, Flask, React Native, Swift Combine Databases: MySQL, NoSQL (MongoDB) Cloud Platforms: AWS, Azure Development: macOS and iOS app development, Web development 🚀 I am actively seeking Summer 2025 internship opportunities in Data Science, Machine Learning, NLP and Software Engineering roles. Feel free to connect with me or reach out if you’d like to collaborate! Email: yashwany@andrew.cmu.edu

Experience

4 yrs 7 mos

Total Experience

1 yr 8 mos

Average Tenure

Current Experience

Grainger

Deep Learning Intern

Jun 2025 – Aug 2025 · 2 mos · Chicago, Illinois, United States · On-site

Was part of the Grainger AI and Vision Lab (GAVL). Worked on improving the multimodal product matching results and search relevance by reducing hallucinations in product attribute extraction phase from search queries and images.

Rv college of engineering

Volunteer Research Assistant [Part Time]

Sep 2023 – Apr 2024 · 7 mos · Bengaluru, Karnataka, India · On-site

Worked on usage of LLMs in health care domain for protecting patient privacy in medical records (text & images) under the guidance of Dr. Rajashree Shettar

Citrix

3 roles

Software Engineer 2

Promoted

Aug 2023 – Aug 2024 · 1 yr · Bengaluru, Karnataka, India

Worked in Citrix Workspace App for macOS team
Developed a POC to auto generate cross platform automation code when provided with a combination screenshots and workflow(NLP commands) as input to LLMs. Experimented with custom GPT models, fine-tuning and RAG methods. (Top 2 in Citrix AI hackaton)
Automated testing of 40+ critical flows of the workspace app for macOS using XCUI framework.
Engineered single sign-on feature for remote desktops in the Citrix Workspace App for macOS, utilizing Azure Active Directory for authentication. Eliminates the requirement of password entry to logging into a remote desktop when it is Azure Active Directory joined.
Worked on other feature development, engineering fixes and was a SME in analytics and ML for multiple teams.

NLPLLMsAutomationAzure Active DirectoryXCUIMachine Learning+2

Software Engineer

Jul 2021 – Jul 2023 · 2 yrs · Bengaluru, Karnataka, India

Part of Citrix Workspace App for macOS
Developed a cross-platform(macOS, windows & Linux) analytics library called Telemetry Analytics Platform (TAP). Collects data from 100+ million MAU, providing a comprehensive lens into app usage. Leveraged
unsupervised ML algorithms on analytics data to unearth insights, influencing stakeholders to make key decisions.
Migrated from using Universal Analytics(GA3) to Google Anlytics 4(GA4) without much to the existing code structure and this migration was critical since GA3 was fully deprecated from July 2024.
Worked on a dynamic launch status indicator, enhancing user transparency during the launching of virtual apps and desktops.

Machine LearningAnalyticsGoogle AnalyticsUnsupervised MLSoftware Engineering

Software Engineer Intern

Jan 2021 – Jul 2021 · 6 mos · Bengaluru, Karnataka, India

Was part of Citrix Workspace App for macOS Team.
Identified and parallelized parts of Continuous Integration(CI) pipeline build scripts. Reduced the build time from 2 hours to 45 minutes (reduced by 62.5%) and stabilized the builds.
Stabilized the master branch builds and reduced the build failure rate from 20% to 5% for the master branch, which greatly impacted the team’s efficiency.
Engineering bug fixes and other product improvements.

Samsung r&d institute india

2 roles

Research Intern

May 2020 – Jul 2020 · 2 mos · Bengaluru, Karnataka, India · Remote

Was part of the Text Intelligence Team [ Advanced Technology Lab Division ].
Project was Hinglish Detection for Smart Reply Solutions in Samsung Wearables. Hinglish is Hindi written in English Script [Example: Kya kartha hai?], which most Indians use in chats.
Generated a dataset of 0.15 million sentences by gathering them from various sources like Twitter, Facebook posts, and blogs.
Built a Binary classifier to distinguish between Hinglish and 8 major Indian Languages in chat conversations, and this was used to trigger smart reply solution for a particular language. Obtained an accuracy of 96.7% on real-world data collected. As an extended goal worked on Multi-label classifier for 9 Indian languages.

Research Intern

May 2019 – Jul 2019 · 2 mos · Bengaluru, Karnataka, India · On-site

Was part of the Interaction Intelligence Team [ Advanced Technology Lab Division ].
Project was Personality Extraction from Daily Conversations. Generated the dataset via web scrapping to facilitate deep learning models.
Tested various models on SOTA contextual embeddings obtained from Universal Sentence Encoder and InferSent to generate domain and obtained an accuracy of 90% and Performed sentiment analysis to extract the relationship with the entity. Used openNRE and openIE5 to generate triplets in a structured format.

System consultant information india

Project Intern

May 2019 – Jun 2020 · 1 yr 1 mo · Bengaluru, Karnataka, India · Remote

Team of three students, mentored by two professors from R.V College of Engineering (Dr. Deepamala and Dr. Shobha G), worked on a research project backed by a grant from System Consultant Information India (KSC, Japan). Published three papers.
Worked on transforming natural language inputs(in English & Japanese) into SQL queries by blending
rule-based techniques with machine learning methodologies, leveraging Elastic search for descriptive inputs, and employing LSTM model for mapping data values in input to columns of the table