Bangalore, Karnataka — 2026

Sunil
GC

QA Engineer · AI/ML · CS Graduate

Computer Science graduate with a passion for quality engineering and intelligent systems. I write test cases that matter, hunt bugs that hide, and build ML models that think.

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sunil_profile.py

01# QA Engineer & AI-ML Dev
02
03class SunilGC:
name = "Sunil GC"
role = "QA Engineer"
cgpa = 8.4
city = "Bangalore"
08
def skills(self):
  return [
    "Manual Testing",
    "API Testing",
    "Selenium",
    "Random Forest ML",
  ]
16
def status(self):
  return "Open to Work ✓"
      

Profile

About Me

I'm a final-year B.E. Computer Science & Engineering student at C. Byregowda Institute of Technology, Kolar, graduating in 2026 with a CGPA of 8.4 / 10.

I interned at QSpiders, Bangalore as a Software Testing Intern — writing test cases, hunting bugs, validating REST APIs with Postman, and shipping quality in real Agile sprints. I also interned at Rooman Technologies as an AI/ML Engineer where I built a Fake Account Detection System using Random Forest with 94.2% accuracy.

I hold a certification in Software Testing with Automation using Java. I understand not just what to test, but why things break — giving me an edge in both QA and development roles.

B.E. — Computer Science & Engineering

C. Byregowda Institute of Technology, Kolar

CGPA: 8.4 / 10 · 2022 – 2026

PUC — Science

Jnana Bharathi PU College

80.13%

SSLC — 10th Standard

Shree Jnana Bharathi Higher Primary School

84.96%

🎓

8.4

CGPA out of 10

💼

Internships completed

🚀

Projects built

🤖

94.2%

ML model accuracy

🏆

Certification earned

Capabilities

Technical Skills

01 / TESTING

Quality Assurance

Manual TestingFunctional RegressionSmoke SanityAPI Testing Performance

02 / TOOLS

Testing Tools

PostmanSelenium Apache JMeterFireFlink JiraAzure DevOps

03 / LANGUAGES

Programming

Core JavaSQL HTMLCSS

04 / AI · ML

Machine Learning

Random ForestNLP Feature Engineering Data ProcessingML Pipelines

05 / DATA

Databases

MySQLMongoDB Query OptimizationCRUD Ops

06 / PROCESS

Methodology

Agile / ScrumSDLC TDDREST APIs Git & GitHubCI/CD

Work History

Experience & Certifications

Software Testing Intern

QSpiders, Bangalore

Feb 2026 — May 2026 · 90 Days

Designed and executed test cases covering functional, regression, smoke, and sanity testing aligned with business requirements and acceptance criteria.
Performed end-to-end API testing using Postman — validated REST endpoints, request/response payloads, status codes, and error-handling flows.
Identified, documented, and tracked defects with clear reproduction steps, severity classification, and root cause notes for developer resolution.
Participated in Agile/Scrum sprints — daily stand-ups, sprint reviews, and retrospectives — ensuring timely defect resolution and quality sign-off.
Hands-on performance and load testing using Apache JMeter to assess application stability under varying user loads.

AI / ML Engineer Intern

Rooman Technologies, Bangalore

Jan 2026 — Mar 2026

Developed and tested AI/ML models for real-world use cases using Python and popular ML libraries.
Built an AI Fake Account Detection System using Random Forest algorithm — achieved 94.2% accuracy on 5,000 training samples.
Assisted in data preprocessing, feature engineering, and model evaluation to improve prediction accuracy.
Explored NLP techniques and integrated machine learning pipelines into application workflows.
Collaborated in Agile sprints, documenting findings and presenting model performance reports to the team.

🏆

Software Testing with Automation using Java

QSpiders, Bangalore · 2026 · Manual Testing · Selenium · Core Java · Industry Workflows

Portfolio

Featured Projects

PROJECT — 01

AI Fake Account Detection System

ML system detecting fake/bot social media accounts using Random Forest — trained on 5,000 samples with 12 behavioral features and interactive prediction dashboard.

100 decision trees — 94.2% accuracy, ROC-AUC 0.978
Features: follower ratio, account age, bio, profile pic
Confusion matrix · F1 Score 94.2%

Random ForestMLNLP

PROJECT — 02

Shopper Stack — E-Commerce App

Full-stack e-commerce platform with user auth, product catalog, cart, and checkout flows. Led complete QA effort with automated API suites.

Executed 100+ manual test cases across all flows
Postman API test suites — reduced manual effort by 40%
RESTful API validation for auth, catalog & orders

React.jsSpring BootMongoDB

PROJECT — 03

Jarvis AI Chatbot Assistant

AI-powered voice assistant integrating NLP and speech recognition for natural voice-to-command processing with modular pipeline architecture.

Functional testing across all command pipelines
Iterative debugging & end-to-end workflow validation
Test logs ensuring consistent response accuracy

NLPSpeech RecREST APIs

PROJECT — 04

Employee Management System

Backend REST API system for full employee CRUD operations with MySQL, optimized queries, and comprehensive data integrity validation.

End-to-end manual testing of all CRUD operations
SQL query result validation & boundary testing
Systematically resolved data inconsistencies

REST APIMySQLCRUD

PROJECT — 05

Patient Medicine Reminder System

IoT-based application automating real-time medicine scheduling and notification delivery with systematic functional testing of all workflows.

100% trigger accuracy under edge-case scheduling
Systematic functional testing of notification flows
Documented test scenarios for IoT scheduling logic

IoTEmbeddedScheduling