Summary
Avik Sarkar is a Data Domain Architect and computational linguist with nine years of experience building NLP, NLU, and conversational AI solutions across finance and product-focused AI firms. Currently at JPMorgan Chase, he brings hands-on expertise in large-scale data pipelines and linguistic annotation from prior roles at Cogniquest AI, Khoros, and Quantiphi. His background blends advanced academic training in linguistics (MPhil/MA) with practical big-data and backend development skills showcased on GitHub. He has a proven track record as an analytical linguist and freelance contributor for platforms like Google, Shaip and Mihup, often bridging annotation quality with production ML needs. Known for transforming linguistic insight into robust data taxonomies and scalable tagging workflows, he thrives at the intersection of language science and engineering. Based in Kolkata, he combines domain depth with a pragmatic focus on deploying conversational systems in enterprise environments.
9 years of coding experience
Master of Arts - MA, Linguistics, A, Master of Arts - MA, Linguistics, A at Calcutta University, Kolkata
School, School at Don Bosco School, Bandel
Master's degree, Linguistics, A | CGPA: 7.54, Master's degree, Linguistics, A | CGPA: 7.54 at University of Calcutta
Master of Philosophy - MPhil, Linguistics, Master of Philosophy - MPhil, Linguistics at Jadavpur University, Kolkata
English, Hindi, Bengali