May 2022 – Aug 2022 · 3 mos · Seattle, Washington, United States

• Implemented an end-to-end full stack feature to streamline ML testing processes by enabling ML engineers to effortlessly create, modify, run and track a test suite of ML models.
• Reduced manual effort by 60% and 80% of user time by utilizing Ruby on Rails, React TypeScript, MLOps, JEST, and Factorygirl.
• Implemented version-controlled Git and AWS CodePipeline-based CI/CD pipelines for faster deployments. Fixed 98% bugs with Unit Testing.

Feb 2022 – Jun 2023 · 1 yr 4 mos

• Assisted and Collaborated with professor and Instructors for grading Assignments.
• Guiding 120+ students in finishing assignments by providing one-to-one assistance.
• Worked for Fundamentals of Computing (CSCI 1410) and Database System Concepts (CSCI 3287) courses

Jul 2019 – Jul 2021 · 2 yrs · Bengaluru, Karnataka, India

• Trained machine learning models for device breakdown prediction using SVM, Deep Neural Network, Decision Tree, LSTM, and XGB achieving a real-time accuracy of 88%.
• Identified high-performing and incentive-worthy farmers by fintech analysis. Developed clustering (k-means, DBSCAN) and A/B hypothesis testing models to segment farmers and assess the impact of loan.
• Delivered rich Tableau-based data visualizations and reports involving exploratory data analysis, and modeling to interpret annual business sales, and growth.
• Deployed a statistical model for anomaly detection in cattle activity resulted in reduction of False positives by 90%.
• Collaborated with 5 cross-functional teams and clients to present, collect requirements, communicate, and design solutions.

Jan 2019 – Jun 2019 · 5 mos · Mumbai Area, India

• Developed a model for document tagging or classification using python, OCR libraries and CNN models. Utilized pytesseract, Google cloud vision, Amazon Rekognition, pdftotext for OCR and parsing pdf's. Reduced manual effort by 90%.
• Automated fraud transactions detection by writing RESTful APIs utilizing Django and MongoDB to identify circular transactions and patterns within bank statements ,mitigating Financial Risk.

Jun 2018 – Dec 2018 · 6 mos · Gandhinagar

• • Created Regression/Quantitative model to predict petroleum quantity achieving 88% Adjusted R-Squared.

Jun 2017 – Jul 2017 · 1 mo · Hyderabad

• Created an android application for adding, deleting and modifying scientific inventions data that a user would like to keep track of using Java, Kotlin, Android Studio, and XML

May 2017 – Dec 2017 · 7 mos · On-site

• Built a model for replay attack detection using Constant Q Cepstral Coefficients(CQCC) for feature extraction along with the Gaussian Mixture Models(GMM) and Convolutional Neural Network(CNN) for classification resulting in an equal error rate(ERR) of 10.35% using Python and MATLAB.

May 2017 – May 2017 · 0 mo

• Worked as digital marketing intern principally on social media marketing and communication.