Kritika Agrawal
Software Engineer III at Google
Dublin, Ireland
Summary
👤
Senior🎓
Top SchoolKritika Agrawal is a Software Engineer III at Google with nine years of experience across search, data mining, and database systems, grounded in an MS from IIIT Hyderabad and hands-on research in NLP. She blends production engineering with research rigor—contributing to the well-known aima-python project by improving agent implementations and adding robust tests—and has published work in NLP and data mining. Beyond engineering, Kritika demonstrated entrepreneurial leadership by stabilizing and exiting her family business as Managing Director, a period that sharpened her resilience and strategic thinking. She is also a passionate mentor and educator, having guided dozens of aspiring data scientists and taught database and data mining courses. Based in Dublin, she combines practical system-building at scale with a commitment to knowledge sharing and coaching.
9 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at IIIT HyderabadBansal Public SchoolBachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at International Institute of Information Technology
Github Skills (7)
agent10
python10
testing10
algorithms9
pytest9
data-structures8
data-structure8
Programming languages (6)
Github contributions (5)
aimacode/aima-python
Mar 2017 - May 2017
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Role in this project:
Backend Developer & QA Engineer
Backend Developer & QA EngineerContributions:6 commits, 10 PRs, 16 comments in 2 months
Contributions summary:Kritika primarily contributed to the project by modifying existing code, specifically in areas related to agents and environment interactions. They updated the agents.py file with code changes, potentially refactoring or improving existing functionalities. Additionally, the user implemented test cases for agents, demonstrating a focus on ensuring code quality and functionality through testing, including the creation of test cases for ReflexVacuumAgent and ModelBasedVacuumAgent.
pythonpython-implementationapproachartificialmachine-learning
articuno12/ForTUNE_Teller
Nov 2017 - Dec 2017
Contributions:32 commits, 1 push in 25 days
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