Jitender Kumar
Senior Data Scientist
Kota, Rajasthan, India
Summary
🤩
Rockstar🎓
Top SchoolJitender Kumar is a Senior Data Scientist with about four years of hands-on experience building NLP, recommendation, and probabilistic models across startups focused on recruitment, chatbots, and domain semantic detection. He has developed production-ready NLP pipelines—fine-tuning transformers for NER, POS tagging, QA systems, and resume parsing—and delivered a candidate-matching algorithm that ranks with 80% accuracy while halving recruiter screening time. His background spans time-series forecasting, custom chatbot models using TensorFlow, and probabilistic inference for automatic data correction and semantic type detection. At SproutsAI he embraced RAG-style architectures for retrieval-augmented workflows, and at DSMATICS he led projects to extract intents and conversation paths from audio transcriptions to surface automation opportunities. Based in Kota, India, he blends practical product impact with research-oriented techniques from probabilistic graphical models to deep learning. He’s comfortable taking models from prototype to SaaS-ready components, having worked on reusable persona and recommendation services.
1 year of coding experience
5 years of employment as a software developer
Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering, Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering at National Institute of Technology, Srinagar
Github Skills (13)
application9
python9
agent9
retrieval-augmented-generation9
deep-learning8
typescript8
machine-learning8
llm8
fine-tuning8
ai8
generative-ai8
llmops7
mlops7
Programming languages (1)
Github contributions (2)
jitenderfoundry/bert-finetune
Oct 2024 - Nov 2024
Contributions:2 PRs, 3 pushes, 2 branches in 1 month
truefoundry/cognita
Sep 2024 - Dec 2024
RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry
Contributions:2 reviews, 1 PR, 2 branches in 2 months
agentaiapplicationdatadeep-learning
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