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Anirudh Galagali

AI Engineer | Machine Learning & Generative AI | Building intelligent systems

Greater Bengaluru Area

2+ years of work experience

GL Communications
Mar 20223 yrsFeb 2025

Bengaluru, Karnataka, India

Test Automation: • Built and maintained 200+ automated regression test scripts, reducing manual regression time by ~40% and improving test coverage across each release cycle. • Integrated automation frameworks with CI/CD pipelines, ensuring consistent quality validation across all development iterations with zero manual intervention at the pipeline stage. • Designed comprehensive test plans and test cases following structured STLC/SDLC methodologies; tracked all testing progress and defects in JIRA within Agile/Scrum workflows. 4G Protocol & Network Testing: • Performed end-to-end 4G LTE protocol testing using MAPS simulation — validating network elements (MME, SGW, PGW, eNodeB) for call flow accuracy and protocol compliance across wireless interfaces. • Implemented automated test scripts for high-speed network interfaces (100G, 25G, 10G, 1G) using BERT, RFC 2544, and Y.1564 methodologies, improving testing efficiency across all interface tiers. Collaboration & Knowledge Sharing: • Partnered with dev teams and stakeholders to define test strategies, perform root cause analysis on complex network failures, and drive product improvements through structured testing insights. • Conducted knowledge transfer sessions for new team members on STLC, protocol testing, and defect management — mentoring junior testers and creating reusable educational resources.

Anirudh’s AI Stack

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hugging face
langchain
langchain
openai
openai

Education

Indian Institute of Technology, Kanpur

Professional Certification, Generative Ai and Machine Learning

Indian Institute of Technology, Kanpur

20252025

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Headline

AI Engineer | Machine Learning & Generative AI | Building intelligent systems

About

I am an AI Engineer with a background in Software Quality Engineering, bringing over 3 years of experience in testing complex systems before transitioning into Artificial Intelligence and Machine Learning. My career began in software testing and automation, where I worked on large-scale telecom systems, performing protocol testing, automation, and performance validation across high-speed network environments. This experience gave me a deep understanding of system reliability, debugging, and engineering discipline. Driven by a strong interest in intelligent systems, I transitioned into Artificial Intelligence and Machine Learning, completing the Professional Certificate Program in Generative AI and Machine Learning from IIT Kanpur. Today, I focus on building AI-powered applications and data-driven solutions, working with: • Machine Learning & Data Science • Deep Learning (TensorFlow, Keras) • Generative AI & Large Language Models • Prompt Engineering & LLM Applications • Python-based AI development My technical background allows me to approach AI development with a systems-level mindset, ensuring that models and applications are not only intelligent but also reliable and production-ready. I am particularly interested in building solutions in areas such as: • AI-powered applications • intelligent automation • data-driven systems • LLM-based tools Currently exploring and building projects in Generative AI, Machine Learning, and AI application development, while continuing to expand my expertise in modern AI technologies.

Location

Greater Bengaluru Area

AI stack

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hugging face

langchain

openai

Work experience

Software Test Engineer at GL Communications, Mar 2022 - Feb 2025 · 3 yrs, Bengaluru, Karnataka, India, Test Automation: • Built and maintained 200+ automated regression test scripts, reducing manual regression time by ~40% and improving test coverage across each release cycle. • Integrated automation frameworks with CI/CD pipelines, ensuring consistent quality validation across all development iterations with zero manual intervention at the pipeline stage. • Designed comprehensive test plans and test cases following structured STLC/SDLC methodologies; tracked all testing progress and defects in JIRA within Agile/Scrum workflows. 4G Protocol & Network Testing: • Performed end-to-end 4G LTE protocol testing using MAPS simulation — validating network elements (MME, SGW, PGW, eNodeB) for call flow accuracy and protocol compliance across wireless interfaces. • Implemented automated test scripts for high-speed network interfaces (100G, 25G, 10G, 1G) using BERT, RFC 2544, and Y.1564 methodologies, improving testing efficiency across all interface tiers. Collaboration & Knowledge Sharing: • Partnered with dev teams and stakeholders to define test strategies, perform root cause analysis on complex network failures, and drive product improvements through structured testing insights. • Conducted knowledge transfer sessions for new team members on STLC, protocol testing, and defect management — mentoring junior testers and creating reusable educational resources.

Education

Professional Certification, Generative Ai and Machine Learning, Indian Institute of Technology, Kanpur