CV

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Akriti Dhasmana · Website · GitHub · Email · Boulder, Colorado

Education

• University of Colorado Boulder, Boulder, CO — Ph.D. in Computer Science and Engineering, expected 2031
  • Advisors: Dr. Maria Antoniak and Dr. Alexis Palmer
• University of Notre Dame, South Bend, IN — M.Sc. in Computer Science and Engineering, 2026
  • GPA: 3.92/4.00. Coursework: Natural Language Processing, Large Language Models, Advanced Machine Learning.
• Union College, Schenectady, NY — B.Sc. in Computer Science and English, minor in Mathematics, 2022
  • GPA: 3.77/4.00. Coursework: Data Science, Regression Analysis, Advanced Databases.
  • Summa Cum Laude; Dean’s List; Presidential Scholarship; Scholars Program.

Research and Design Experience

• Research Assistant, University of Colorado Boulder, Boulder, CO · 2026–2031
  • Assist Dr. Maria Antoniak and Dr. Alexis Palmer on projects related to narrative understanding and low-resource languages.
• Research Thesis Student, University of Notre Dame, South Bend, IN · 2025–2026
  • Worked with Dr. David Chiang to improve speech recognition models, including XLS-R, HuBERT, wav2vec 2.0, and wav2vec 2.0-BERT, for low-resource languages and dialects.
  • Developed methods for identifying suitable languages for cross-lingual transfer in ASR using phonological distances between related languages and dialects.
• Data Engineer II, Chartbeat, New York, NY · 2022–2025
  • Built a content recommendation engine to help publishing platforms grow readership.
  • Developed and monitored web-worker queue infrastructure handling up to one billion API requests.
  • Established a Google Search Console integration to provide customers with search-engine optimization metrics.
  • Deployed Python, C++, Java, and Lua services on Kubernetes, integrated with Redshift, PostgreSQL, and Snowflake, and monitored service performance with Grafana and TSDB.
• Research Thesis Student, Union College, Schenectady, NY · 2020–2021
  • Used the Relational Character Analysis Tool (RCAT) to map character power structures in short fiction and evaluated coreference tools, including NeuralCoref and AllenNLP, on multilingual Hinglish text.
  • Identified hierarchical social networks and social power dynamics represented in fictional texts.
• Scholar Research Student, Union College, Schenectady, NY · 2020–2021
  • Designed and implemented Group Decision Diagrams for cyclic abelian groups with Dr. Matt Anderson, including rules for group operations, and evaluated their performance on large groups.
• Research Assistant, Union College, Schenectady, NY · 2019–2020
  • Supported research on larger Uniquely Solvable Puzzles and faster matrix multiplication methods.
  • Implemented a Permutation Decision Diagram data structure to perform operations on large permutations and generate Uniquely Solvable Puzzles.
• Summer Research Intern, IBM, Yorktown Heights, NY · 2020
  • Worked with Dr. Wendy Cornell, IBM Research Strategy Lead for Drug Discovery, on a literature analysis of COVID-19 drug discovery using text mining and language processing across arXiv, ChemRxiv, bioRxiv, PubChem, and ChEMBL.

Publications

• Dialect Matters: Cross-Lingual ASR Transfer for Low-Resource Indic Language Varieties. Akriti Dhasmana, Aarohi Srivastava, and David Chiang. In Proceedings of the 13th Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial), pp. 145–156, 2026. Publication page

Research Contributions

• Efficiently-Verifiable Strong Uniquely Solvable Puzzles and Matrix Multiplication. Matthew Anderson and Vu Le. International Computing and Combinatorics Conference, 2023. Contribution: ran experiments to find uniquely solvable puzzles.
• Matrix Multiplication: Verifying Strong Uniquely Solvable Puzzles. Matthew Anderson, Zongliang Ji, and Anthony Yang Xu. International Conference on Theory and Applications of Satisfiability Testing, 2020. Contribution: ran experiments to find strong uniquely solvable puzzles.

Conference Posters and Presentations

• Dialect Matters: Cross-Lingual ASR Transfer for Low-Resource Indic Language Varieties. Midwest Speech Language Days, University of Illinois Urbana-Champaign, Urbana-Champaign, IL, 2026.
• The Billion-Request Content Recommendation System Challenge. PyData Conference, Microsoft Conference Center, New York, NY, 2023.
• Hierarchical Social Network Analysis of Short Fictional Texts. Steinmetz Symposium, Union College, Schenectady, NY, 2022.
• Group Decision Diagrams (GDDs): A Data Structure for Mathematical Groups. Steinmetz Symposium, Union College, Schenectady, NY, 2021.
• Group Decision Diagrams (GDDs): An Efficient Data Structure for Groups. ACM New York Conference for Women in Computing, virtual, 2021.
• πDD: Permutation Decision Diagrams. New York Six Research Consortium, 2019.

Awards and Fellowships

• Awtar and Teji Singh Graduate Fellowship, University of Colorado Boulder — fellowship for an incoming student of Indian origin in Civil or Computer Science.
• CEAS LSAMP Bridge Program, University of Colorado Boulder — Louis Stokes Alliances for Minority Participation Bridge to the Doctorate fellowship.
• Phi Beta Kappa and Sigma Xi memberships, Union College.
• Alice P. and Donald C. Loughry Prize in Computer Science and Computer Science Department Service Prize, Union College.
• Omicron Delta Kappa and Sigma Tau Delta memberships, Union College.
• Most Impactful Leader in Media and Publication Prize and Eugene I. Yudis Prize, Union College.
• WECode Technology Leadership Award, Harvard University.
• hackNY Fellowship, Columbia University and New York University.

Teaching Experience

• Teaching Assistant, University of Notre Dame · 2025–2026
  • Supported Discrete Mathematics and Data Structures through tutoring, feedback on proofs, assignment grading, and academic guidance.
• English Language Class Facilitator, WeSpeakNYC, New York, NY · 2022–2024
  • Led weekly conversational English classes for adult immigrants, covering civic engagement, workers’ rights, and city services.
• Teaching Assistant, Union College · 2021–2022
  • Assisted with a Game Development course, guiding teams from concept and prototyping through implementation and playtesting.

Leadership Experience

• Member, Chartbeat Diversity, Equity and Inclusion Committee, New York, NY · 2022–2024
  • Organized community events, founded a DEI book club, and launched a mentorship initiative for applicants from underrepresented backgrounds.
• President, Association for Computer Machinery’s Council on Women, Union College · 2019–2022
  • Organized faculty and research events, technical workshops, and student trips to NYCWiC and WECode.
• Co-Editor-in-Chief, Concordiensis, Union College · 2020–2021
  • Supervised writers and editors, led editorial meetings, and oversaw the newspaper’s transition to fully digital publishing.
• Programming Team Leader, Union College Robotics Crew · 2021–2022
  • Led a six-person team developing a flood-fill algorithm for a micromouse; earned Third Prize at the IEEE Regional Micromouse Competition.

Mentorship and Service

• Mentor, Computer Science Directed Reading Program, University of Colorado Boulder · 2026–present
• ** Mentor**, Association for Women in Science, University of Notre Dame · 2025–2026
• Orientation Advisor, Union College · 2020–2022
• Meaning Making Mentor, Union College · 2021–2022

Skills

• Technical: Python, Java, C, C++, Arduino, Google APIs, Snowflake, Djangofly, RabbitMQ, Redis, Apache Kafka, Docker, CI/CD, Grafana, AWS, Kubernetes, Adobe InDesign, PostgreSQL, Git, LaTeX, data munging, software design and architecture, web scraping, machine learning, database management, reinforcement learning, query generation, data mining, text analysis, website management, social network analysis, and large language models.
• Additional: Jira workflows; on-call engineering.
• Languages: Hindi, English, intermediate Sanskrit.