Atul Jha
Machine Learning Engineer at Kaggle
Gurugram, Haryana, India
Summary
👤
Senior🎓
Top SchoolAtul Jha is a Machine Learning Engineer with eight years of hands-on experience building and scaling ML systems, currently driving credit-risk and model deployment architecture at CARS24. He combines applied R&D experience—from building BERT-based solutions and face recognition prototypes to recommendation engines—with strong ML Ops and productionization skills (Python, SQL, ELK, GCP). An active Kaggle expert and contest performer, he consistently ranks in top tiers across challenges, reflecting a competitive, solution-oriented approach to real-world problems. He’s passionate about fusing NLP and computer vision, mentors junior practitioners, and co-created TalkToVideos, signaling a knack for turning research ideas into applied products. Known for deep curiosity about algorithmic foundations, he spends time dissecting model internals and feature engineering nuances beyond typical engineering duties. Based in Gurugram, he’s focused on transitioning more deeply into deep learning research and R&D roles that bridge innovation and production impact.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Technology (B.Tech.), computer science engineering, Bachelor of Technology (B.Tech.), computer science engineering at ITM UNIVERSITY, GWALIOR
Github Skills (76)
coreference9
coreference-resolution9
mlops-workflow8
feature-store8
data-quality8
sklearn7
python7
voice-control7
machine-learning7
stream6
nlp6
part-of-speech-tagger6
big-data6
wake6
data-science6
Programming languages (5)
Github contributions (5)
Atul-Anand-Jha/Cipher-Decipher-using-Java
Apr 2018 - Nov 2019
Contributions:5 commits, 4 pushes, 1 branch in 1 year 7 months
Atul-Anand-Jha/Face-Clustering
Aug 2020 - Oct 2020
Contributions:5 commits, 4 pushes, 1 branch in 2 months
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