---
title: "Utkarsh Goyal - Associate Quality Engineer in India | Tal"
description: "Meet Utkarsh Goyal, AQE @ Arrise Solutions | Java | Selenium | Test Automation | SDE / ML based in India. AI stack includes antigravity, claude code, and codex."
image: "https://tal.club/meet/utkarsh-goyal/share-image"
---

# Utkarsh Goyal on Tal

## Headline

AQE @ Arrise Solutions \| Java \| Selenium \| Test Automation \| SDE / ML

## About

Associate Quality Engineer with 1\+ year of experience in test automation, currently working at Arrise Solutions\. I work primarily with Java, Selenium, and TestNG to build and execute automation workflows, along with API testing using Postman\. My focus has been on improving reliability, reducing manual effort, and working closely with developers to resolve issues efficiently\. Alongside this, I’ve developed a strong interest in Machine Learning and Software Development through hands\-on projects, including a credit card fraud detection system, a YOLO\-based ADAS model for foggy conditions, and NLP\-based text summarization research\. Skilled in Java, Python, Machine Learning, and Test Automation\. Open to opportunities in Software Development and Machine Learning\.

## Location

India

## AI stack

antigravity

claude code

codex

cursor

gemini

grok

hugging face

openai

## Work experience

Associate Quality Engineer at Arrise Solutions \(India\) Pvt\. Ltd\., Apr 2025 \- Present · 1 yr 4 mos, Hyderabad, Telangana, India, • Developed and executed automated test scripts using Java and Selenium for web applications\. • Designed, maintained, and executed test cases to ensure product quality and reliability\. • Identified, tracked, and reported defects, improving system stability and performance\. • Collaborated with developers to debug issues and enhance application functionality\. • Performed API testing and backend validation using Postman • Used TestNG/JUnit for test execution and automation workflows • Contributed to reducing manual testing effort through automation\.

Project Intern at IBM Phemsoft, Jun 2024 \- Aug 2024 · 3 mos, Remote, • Implemented and compared machine learning models including Logistic Regression, Random Forest, and Decision Tree for credit card fraud detection\. • Managed data preprocessing and created detailed documentation to support model development\. • Evaluated and fine\-tuned the Decision Tree model to enhance accuracy and reduce false positives\.

Operations Intern at Skillbee, Mar 2023 \- May 2023 · 3 mos, Remote, Contacted and Scheduled meetings with HR professionals from UAE\.

Social Work Intern at EACH\.ONE\.FEED\.ONE, Jun 2022 \- Jul 2022 · 2 mos, Remote, • Supervised and directed a team of 10 students through a comprehensive training program and the internship duration to ensure successful completion of all assigned tasks within deadlines\. • Created visually appealing and informative posters for menstrual health awareness which reached over 5,000 people, effectively increasing the activity on the organization’s social media handles by 60%\. • Implemented data\-driven strategies to plan operations and optimize resource allotment for the 'Beat the Hunger' campaign\.

## Education

Bachelor of Technology \- BTech, Computer Science, UPES

High School, Ann mary school

[View the original profile](https://tal.club/meet/utkarsh-goyal)

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