Kshitij Karthick
Lead Data Scientist
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolKshitij Karthick is a Lead Data Scientist based in Bengaluru with 11 years of engineering experience and 8+ years focused on machine learning and applied science. He has driven end-to-end ML systems at scale—from building Spark pipelines and experiment platforms at Zalando to designing a model deployment framework showcased at DATA+AI Summit 2024 and delivering an 80% uplift in a demand forecaster using Databricks Serverless. Skilled in productionization, validation, monitoring and automation, he has reduced manual maintenance for forecasting workflows fivefold and slashed infrastructure bottlenecks in earlier roles. Kshitij blends research instincts (early work on language models and speech at IISc) with pragmatic engineering—Docker-based microservices, large‑scale data consumption, and reproducible experiments—making him adept at moving models from prototype to reliable production. He’s equally comfortable mentoring cross-functional teams and contributing hands-on to Python/ML stacks, with a track record of improving both model accuracy and engineering efficiency.
11 years of coding experience
7 years of employment as a software developer
Secondary Education Computer Science, Secondary Education Computer Science at Daffodils English SchoolBachelor of Engineering (BE) Computer Science, Bachelor of Engineering (BE) Computer Science at Visvesvaraya Technological UniversityPre University Course Computer Science, Pre University Course Computer Science at Qwen
French, English, Kannada, Hindi
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (78)
sapper10
word2vec9
ml-project9
kebab-case9
nodes8
edges8
rank7
natural-language-processing7
counter7
machine-learning7
flask-extensions6
fastapi6
nlp6
queue6
recall6
Programming languages (9)
Github contributions (5)
iisc-sa-open/trsl
Jul 2015 - Dec 2015
Contributions:46 commits, 33 pushes, 1 comment in 5 months
KshitijKarthick/MLtiplier
Oct 2020 - Mar 2023
ML Project template with FastAPI as a server, Redis as the job queue, Sapper framework for the UI
Contributions:71 commits, 11 PRs, 29 pushes in 2 years 4 months
pythonjobrqdockerml-project
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