Sukhada Virkar — DevOps Engineer

I’m passionate about solving real-world problems with AI and Machine Learning—where data meets innovation 🚀 Recently graduated with my MS in Information Technology and Management at UT Austin (Class of 2025), I bridge the gap between business strategy and AI-driven solutions to deliver measurable business impact. 🔹 Experience & Expertise ✔ Published research in an IEEE International Conference ICAST 2022, presenting an AI-powered mental health chatbot leveraging sentiment analysis and deep learning. ✔ As a Data Scientist at Data Axle, built modular, end-to-end ML workflows on Databricks—from data collection and model experimentation to cloud deployment, optimizing AI-driven decision-making. ✔ Designed a RAG workflow, integrating the company’s private knowledge base with Generative AI LLMs via OpenAI’s API, automating user query responses with accurate, context-aware answers. ✔ Led the development of a knowledge graph-driven Patient Cohort builder for Healthcare analytics, streamlining clinical trial recruitment and improving patient matching. I thrive at the intersection of AI, automation, and business impact, leveraging expertise in Machine Learning, NLP, Generative AI, and Big Data. ✅ Skilled in Python, SQL, PySpark, Scikit-Learn, TensorFlow, Databricks, Snowflake, Neo4j, Kedro, Airflow, and AWS to build scalable AI solutions. Excited to dive into AI/ML Engineering, applying AI to turn data into actionable insights that drive meaningful impact. Let’s connect! 🚀

Stackforce AI infers this person is a Data Scientist with expertise in AI and Machine Learning for Healthcare and SaaS industries.

Location: Austin, Texas, United States

Experience: 3 yrs 11 mos

Skills

Full-stack Development
Retrieval-augmented Generation (rag)
Data Science
Generative Ai
Natural Language Processing (nlp)
Machine Learning
Web Development

Career Highlights

Expert in AI-driven solutions for business impact.
Proven track record in deploying end-to-end ML workflows.
Strong background in Natural Language Processing and Generative AI.

Work Experience

Guild

Data and AI Platform Engineer (7 mos)

Cockrell School of Engineering, The University of Texas at Austin

Research Assistant (2 mos)

TDECU

Technical Lead - Capstone (7 mos)

Data Axle India

Data Scientist (5 mos)

Associate Data Scientist (1 yr 5 mos)

Digiliyo Technologies

Software Developer (2 mos)

KJ Somaiya College of Engineering, Vidyavihar

Machine Learning Intern (2 mos)

Full stack Web Developer (3 mos)

BloomBox, E-Cell KJSCE

Joint Public Relations Officer (11 mos)

Software Development Cell, KJSCE

Web Developer (6 mos)

Education

Master of Science - MS at The University of Texas at Austin

Bachelor of Technology - BTech at KJ Somaiya College of Engineering, Vidyavihar

Higher Secondary School Certificate at Jaipuriar School, Sanpada

Secondary School Certificate at Ryan International School - India

Sukhada Virkar

DevOps Engineer

Austin, Texas, United States3 yrs 11 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in AI-driven solutions for business impact.
Proven track record in deploying end-to-end ML workflows.
Strong background in Natural Language Processing and Generative AI.

Stackforce AI infers this person is a Data Scientist with expertise in AI and Machine Learning for Healthcare and SaaS industries.

Contact

Skills

Core Skills

Full-stack DevelopmentRetrieval-augmented Generation (rag)Data ScienceGenerative AiNatural Language Processing (nlp)Machine LearningWeb Development

Other Skills

DockerMicroservicesFlaskReact.jsMongoDBTestingContainerizationMicrosoft Copilot StudioPresentationsPythonLarge Language Models (LLM)Microsoft Power AutomateAgile Project ManagementKedroApache Airflow

About

Experience

3 yrs 11 mos

Total Experience

1 yr 1 mo

Average Tenure

7 mos

Current Experience

Guild

Data and AI Platform Engineer

Oct 2025 – Present · 7 mos · Austin, Texas, United States · Remote

Cockrell school of engineering, the university of texas at austin

Research Assistant

Jun 2025 – Aug 2025 · 2 mos · Austin, Texas, United States · Remote

DockerMicroservicesFlaskReact.jsMongoDBTesting+2

Tdecu

Technical Lead - Capstone

Oct 2024 – May 2025 · 7 mos · Austin, Texas, United States

Retrieval-Augmented Generation (RAG)Microsoft Copilot StudioPresentationsPythonLarge Language Models (LLM)Microsoft Power Automate+1

Data axle india

2 roles

Data Scientist

Jan 2024 – Jun 2024 · 5 mos · Pune District, Maharashtra, India

Spearheaded Customer Segmentation using Unsupervised learning to identify 5 distinct personas from 1 million records, visualizing insights via Tableau, automating the process and saving 2 months of effort while driving data-driven decision making
Identified and led a business case to automate user query responses by designing a RAG workflow that integrated company's private knowledge base with Generative AI LLMs via OpenAI’s API for accurate, context-aware answers

Retrieval-Augmented Generation (RAG)KedroPresentationsApache AirflowSnowflakePython+4

Associate Data Scientist

Jul 2022 – Dec 2023 · 1 yr 5 mos · Pune District, Maharashtra, India

Condensed 2M+ job titles into 1,000 functional title clusters using Python, NLP, Transfer learning, Clustering and Topic modeling—built as a modular Kedro pipeline orchestrated via Apache Airflow, boosting job title retrieval accuracy by 70%
Conducted feature engineering & hyperparameter tuning (PySpark) for regression, classification models to predict key attributes
Orchestrated end-to-end ML workflow facilitating model deployment via modular Databricks Asset Bundles on AWS with model monitoring for batch inference, enhancing data quality to create business value by boosting attribute fill rate from 20% to 95%
Communicated technical solutions to business stakeholders, earning recognition for agile delivery and problem-solving

Retrieval-Augmented Generation (RAG)KedroPresentationsApache AirflowNatural Language Processing (NLP)Python+8

Digiliyo technologies

Software Developer

Jun 2021 – Aug 2021 · 2 mos · India · Hybrid

JavaScriptCSSPHPHTML5SQLAJAX+2

Kj somaiya college of engineering, vidyavihar

2 roles

Machine Learning Intern

Jun 2020 – Aug 2020 · 2 mos · Mumbai, Maharashtra, India

Machine Learning Intern under IT Department, KJSCE for building a Fake News Detection Model using Natural Language Processing and ML algorithms to classify News articles as Fake or True and deploy the model to a Web app for detecting authenticity of News articles.

DjangoNatural Language Processing (NLP)PythonScikit-LearnData ScienceMachine Learning

Full stack Web Developer

Feb 2020 – May 2020 · 3 mos · Mumbai, Maharashtra, India

Worked as a Web Developer Intern under IT Department, KJSCE and successfully developed a full stack website known as Somaiya Books for Book Donation, which would serve as a platform for KJSCE students to put their old, used books for donation by simply signing up on the website and providing contact details and other students can view the available books and hence acquire them conveniently.
The tech stack used to develop the website was HTML, CSS, Materialize CSS, JavaScript and Firebase for Back-End.
Website Link: https://bookme-5ee26.web.app

HTMLCSSMaterialize CSSJavaScriptFirebaseWeb Development

Bloombox, e-cell kjsce

Joint Public Relations Officer

Jun 2020 – May 2021 · 11 mos · Mumbai, Maharashtra, India

Software development cell, kjsce

Web Developer

Jun 2020 – Dec 2020 · 6 mos · Mumbai, Maharashtra, India

Worked as a PHP Developer under Software Development Cell (SDC), KJSCE to develop a Course Allocation Portal for automating the Course Allocation process using Python and building an User Interface for smooth Management of Courses offered by the College to students of various years and streams with the help of PHP, MySQL, Ajax and JavaScript.

PHPSQLWeb Development