Kanav Bansal
Chief Technology Officer at Technology For All
Hyderabad, Telangana, India
Summary
👤
Senior🎓
Top SchoolKanav Bansal is a technology leader and AI practitioner with a decade of experience building data-driven products and teams, currently serving as CTO at Innomatics Research Labs and co-founder/CTO of Technology For All. He progressed from hands-on roles in machine learning engineering and Android development to senior leadership, having led AI teams at CipherSchools and served as Chief Data Scientist before stepping into his current CTO role. Kanav combines practical ML skills—demonstrated by contributions to an introductory data science toolkit and applied work in linear regression and visualization—with product-minded engineering to ship usable solutions. He has both startup founder experience (Storeflick) and corporate exposure (HP, KPIT), giving him a strong appreciation for customer-centric design and scalable delivery. Based in Hyderabad, he balances teaching and applied research, often translating foundational concepts into accessible learning resources. Notably, his GitHub work emphasizes pedagogical clarity—making core Python and ML basics approachable for newcomers while maintaining production-awareness.
10 years of coding experience
9 years of employment as a software developer
Bachelor of Technology (BTech) Computer Science, Bachelor of Technology (BTech) Computer Science at Maharishi Markandeshwar (Deemed to be University) OfficialMaster's degree Computer Science, Master's degree Computer Science at International Institute of Information Technology Hyderabad (IIITH)
French, Punjabi, Hindi, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (2)
python10
data-analysis8
Programming languages (3)
Github contributions (5)
Role in this project:
Data Scientist & Machine Learning Engineer
Data Scientist & Machine Learning EngineerContributions:438 commits, 4 PRs, 656 pushes in 2 years 9 months
Contributions summary:Kanav's commits primarily involve introductory Python programming fundamentals, including data types, control statements, and basic functions, as evidenced by the "Day - 1 - Intro to Python/Intro.ipynb" notebook. They demonstrate a strong understanding of basic data structures like lists and strings, and their application. Further contributions include implementing simple linear regression, indicating an interest in machine learning fundamentals, and the use of matplotlib to visualize the data.
awscnndata-analysisdata-sciencedeep-learning-algorithms
bansalkanav/bansalkanav
Dec 2020 - May 2022
Contributions:7 commits, 5 pushes, 1 branch in 1 year 5 months
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