Deeksha Koul
Research Engineer
India
Summary
👤
Senior🎓
Top SchoolDeeksha Koul is a Research Engineer with 10 years of software industry experience, specializing in recommender systems, NLP, and Python-driven ML engineering. Trained at IISc (M.Tech), she has built end-to-end NLP features—from spaCy pipelines to Hugging Face models—and deployed them with FastAPI, Docker, Elasticsearch and Rubrix for production observability. Her recent roles span machine learning and search engineering at ShareChat, Enago, and Monster India, where she focused on search/recommendation quality and scalable retrieval systems. Earlier experience at Oracle and a research internship at SAFRAN LAB IISc reflect a strong foundation in debugging enterprise systems and implementing high-performance numerical solvers. Comfortable bridging research and production, she combines academic rigor with practical deployment skills and a knack for turning complex language models into usable product features.
10 years of coding experience
5 years of employment as a software developer
Master of Technology, Computer Science, Master of Technology, Computer Science at Indian Institute of Science (IISc)Bachelor of Technology, ICT with minors in Computational Science, 8.55/10, Bachelor of Technology, ICT with minors in Computational Science, 8.55/10 at Dhirubhai Ambani Institute of Information and Communication Technology
Github Skills (40)
weakly-supervised-learning9
nlp6
active-learning6
natural-language-processing6
weak-supervision5
text-labeling5
datasets5
machine-learning5
artificial-intelligence4
recommendation-engine4
text-classification4
knowledge-graph4
fairness-ml4
python4
spacy3
Programming languages (2)
Github contributions (5)
deekshakoul/Graph-based-text-classification
Jan 2021 - Sep 2021
Contributions:20 commits, 6 pushes in 8 months
deekshakoul/Multilingual-Abuse-Comment-Detection
Dec 2021 - Apr 2022
Contributions:10 commits, 4 pushes in 4 months
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