Aparajita Haldar is a Senior Research Manager at Fujitsu Research with a decade of experience advancing efficiency, scalability, and fairness in AI and information retrieval. She brings deep expertise in graph-based machine learning—particularly hypergraphs and heterogeneous knowledge graphs—built on a PhD in Computer Science from the University of Warwick. Her career blends academic rigor and industrial impact, with research roles at Edinburgh, Graphcore, and a visiting position at Johns Hopkins, plus early open-source and systems internships. Known for translating theoretical insights into scalable analytics, she focuses on practical solutions that address fairness and resource efficiency in large-scale graph systems. Based in London, she couples strong mathematical training (MS in Mathematics) with hands-on research leadership across both labs and industry.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Warwick
High School, Computer Science, High School, Computer Science at National Public School
Master of Science - MS, Mathematics, Master of Science - MS, Mathematics at Birla Institute of Technology and Science, Pilani - Goa Campus
Stackoverflow
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Github Skills (30)
zip8
libreoffice8
concurrent8
sentence7
gerrit7
glove5
nlp5
fasttext5
allennlp5
word2vec5
gensim5
word-embeddings4
quantile4
natural-language-processing4
sentence-similarity4
Programming languages (6)
JavaC++Jupyter NotebookRich Text FormatElixirPython
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Aparajita Haldar - Senior Research Manager at Fujitsu Research