Gungun Pathak

Software Engineer

India0 mo experience
AI EnabledAI ML Practitioner

Key Highlights

  • Designed features improving audit compliance by 40%
  • Built AI prototypes achieving 85% classification accuracy
  • Hands-on experience in scalable software development
Stackforce AI infers this person is a Full-Stack Developer with expertise in AI/ML applications in SaaS environments.

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Skills

Core Skills

Software DevelopmentBackend DevelopmentArtificial IntelligenceNatural Language Processing

Other Skills

Integration TestingDebuggingJavaACLsJUnitMockitoRetrieval-Augmented Generation (RAG)Vector DatabasesIBM WatsonData StructuresAlgorithmsAWS Elastic BeanstalkChromaDBLangChainGemini API

About

I am a B.Tech student in Artificial Intelligence and Data Science with hands-on experience as a Software Engineer Intern at ServiceNow and AI Intern at IBM SkillBuild. My expertise spans AI/ML, NLP, RAG, and Full-Stack Development, with a focus on building scalable, efficient, and real-world applications. I have contributed to impactful projects like SafeTurn (real-time vehicle detection), CWxAI (AI-powered research automation), and RAG-based chatbots. With strong foundations in DSA, system design, and CI/CD, I thrive in creating intelligent solutions that drive value. 🔑 Skills & Tools •Programming Languages: Python, Java, JavaScript, SQL •Frameworks & Libraries: Flask, Next.js, React, OpenCV, PyTorch, TensorFlow, LangChain, ChromaDB •Platforms & Tools: ServiceNow, Azure, Docker, Git, REST APIs, Google Workspace •Core Concepts: DSA, OOPs, Operating Systems, NLP, RAG, Machine Learning, Deep Learning, DBMS, Web Development, Scalable Systems, Software Testing, Debugging •Methodologies: Agile, CI/CD, Cloud Platforms, Microservices, Version Control

Experience

Servicenow

Associate Software Engineer

Jun 2025 – Aug 2025 · 2 mos · Bengaluru, Karnataka, India

  • Designed Impersonation History feature, logging 100% of user actions and improving audit compliance by 40%, while applying software design principles and best practices.
  • Developed secure backend workflows (Java, ACLs, Custom Tables, JUnit/Mockito tests) as part of the software development lifecycle (coding, unit testing, debugging, and integration), reducing bug leakage by 25%.
  • Executed integration tests and admin configurations in cross-functional teams, accelerating deployment cycles by 15% and enhancing communication, collaboration, and teamwork.
Integration TestingDebuggingJavaACLsJUnitMockito+2

Ibm

Artificial Intelligence Intern

Jul 2024 – Aug 2024 · 1 mo · Remote

  • Built AI-driven prototypes using IBM Watson, improving classification accuracy to 85%+.
  • Applied Watson NLP to real-world use cases (chatbots, text analytics) for practical AI applications.
Retrieval-Augmented Generation (RAG)Vector DatabasesIBM WatsonArtificial IntelligenceNatural Language Processing

Education

Indian Institute of Technology, Madras

Bachelor of Science - BS — Computer Science

Jan 2022 – Jan 2026

Guru Gobind Singh Indraprastha University

B.Tech in Artificial Intelligence and Data Science

Nov 2022 – Present

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