Software Development Machine Learning

YASHVI MEHTA

***********@****.*** +1-310-***-**** LinkedIn Github

EDUCATION

University of California, Los Angeles (UCLA) Masters in Computer Science CGPA: 3.87/4 Expected, June 2025

● Relevant Courses: Automated Reasoning, Big data Analytics, Statistics Programming, Large-Scale Data Mining Sardar Patel Institute of Technology, Mumbai Bachelors in Computer Engineering CGPA: 9.61/10 May 2023

● Relevant Courses: Data Structures & Algorithm, DBMS, Object-oriented programming, Software Engineering, Distributed Computing, Computer Architecture, OS, Computer Networks, Discrete Structures & Graph Theory, AIML, Deep Learning SKILLS

Languages: Python, Java, C, HTML, NodeJS, SQL, HTML, CSS, JavaScript, Solidity, Dart, R, Go Angular Database HTTP C++ PHP Technologies: Firebase, Azure, Hadoop, Nifi, Kafka, Snowflake, SOAP, RestAPI, Django, Flutter, React, Tableau, AWS, MySQL, Oracle PROFESSIONAL EXPERIENCE IN data science, full-stack Merkle, Software Engineer Intern 02/2022 - 06/2022

● Built a scalable CI/CD end-to-end data pipeline with Kafka, Nifi & Snowflake accelerating processing speed by 5x at 1M OPS

● Mitigated compatibility issues using innovative Jython integration ensuring consistent, rapid data processing and low latency

● Executed ETL and ELT methodologies for streamlined real-time data extraction, transformation, validation, and loading processes

● Earned a prestigious StoryMaster award for delivering a compelling presentation on project results to 4 industry experts GC Coupons, App Developer Intern 07/2021 - 08/2021

● Designed Swift push notifications to improve user engagement by integrating it with Firebase cloud messaging

● Conducted extensive UI and UX enhancements, including text size adjustments and customized splash screen design

● Optimized user experience across multiple devices (3 iPhones, iPad)and published it on the App Store(200+ downloads)

● Implemented robust crash reporting using Firebase Crashlytics, ensuring app stability and reducing crashes by 30% PUBLICATIONS

Predicting the success rate of startups using machine learning algorithms. 2022 (ASIANCON). [Link] 01/2022 - 05/2022

● Achieved 92% startup success prediction accuracy with Python, TensorFlow, PyTorch, Decision Trees, Random Forest, MLP PROJECTS

ChatGPT as a judge for VLM’s [Github] 10/2023 - 12/2023

● Assessed ChatGPT's evaluation of vision-language models using prompt engineering & varied datasets, like OCR & images

● Integrated ChatGPT via API, enabling seamless interaction with VLMs and LLMs for streamlined evaluation experiments

● Validated ChatGPT exhibits a strong primacy effect which can potentially cause hallucinations Virtual Trial Room, Barcode Scanning & Recommendations for E-commerce App [Github] 01/2022 - 05/2022

● Developed CNN model using Keras for virtual trial room, clothing recommendation, barcode recognition in an Android app

● Utilized Django and PostgreSQL for backend development, ensuring consistent data storage and retrieval mechanisms

● Implemented Pyzbar library and KNN for recognition and recommendation algorithms and achieved an accuracy of 97.02% Face and Text Recognition for Library Applications [Github] 09/2022 - 12/2022

● Leveraged Tesseract OCR engine for text extraction from barcode and Haar classifier for text recognition in the image

● Designed TensorFlow & PyTorch algorithms for face & book recognition in the application with an overall accuracy of 91%

● Developed an Android app utilizing Java and integrated Firebase databases and APIs through Flask App on Azure Cloud Food Image Identification Application [Github] 02/2021 - 04/2021

● A food identification and allergen-warning Android app leveraging image classification and recommendation algorithms

● Automated data engineering to curate a comprehensive dataset of 10k rows using Python scripts and Chrome driver

● Utilized Hive for data analysis and API querying, implemented Docker containers for easy deployment of applications Speech-to-Text Conversion for Doctor-Patient Portal [Github] 09/2021 - 11/2021

● Launched a NodeJS website for doctors to issue voice prescriptions with automatic email generation using PDFReader

● Leveraged the SpeechRecognition library for accurate speech-to-text conversion & performed data visualization on Tableau

● Implemented an automated system to format voice prescriptions into standardized PDFs, ensuring consistent documentation EXTRACURRICULAR

Rotaract Club S.P.I.T, Director Of Professional Development 06/2020 - 05/2021

● Organized 2 events focusing on personal and professional growth, with a turnaround of 170 students in each

● As part of an event in the Parent Rotaract Club, I helped 5 low-confident educated unemployed people build resumes

● Volunteered as a teacher, dedicated 10 hours a week to teach primary school subjects to the kids of the underprivileged