Ashmit Mukherjee

Research Assistant, New York University Abu Dhabi

At New York University Abu Dhabi, I contribute to the study design of an experimental research project on human-AI collaboration and lead the technical implementation of its online research platform.

My work focuses on translating theoretical requirements into platform behavior, structured validation checks, and data workflows for subsequent empirical analysis.

Research Assistant, eBRAIN Lab, New York University Abu Dhabi

At the eBRAIN Lab, I develop and evaluate parameter-efficient methods for adapting protein language models to protein-sequence tasks.

The work focuses on constructing training and evaluation pipelines, running multi-seed experiment sweeps on the university high-performance computing cluster, and examining whether results remain stable across model configurations.

Fine-tuned mBERT and XLM-RoBERTa for named-entity recognition on Hindi-English code-mixed text from COMI-LINGUA and benchmarked them against zero-shot general-purpose language-model baselines.

Repository → Research report →

• Built an AutoML salary-prediction workflow using cleaned Glassdoor job-listing data, with PyCaret model comparison, XGBoost, SHAP interpretation, MLflow experiment tracking, and Streamlit.

Methods PyCaret, XGBoost, SHAP, MLflow, Streamlit

Repository →

• Modeled observational relationships between socioeconomic indicators and violent-crime rates across U.S. communities using regression and holdout evaluation, with an interactive application for descriptive exploration and model-based prediction.

Methods scikit-learn, pandas, Plotly, Streamlit, regression

Repository →

• Fine-tuned mBERT and XLM-RoBERTa for named-entity recognition on Hindi-English code-mixed text from COMI-LINGUA and benchmarked them against zero-shot general-purpose language-model baselines.

Methods PyTorch, Hugging Face Transformers, multilingual NLP, entity-level evaluation

Repository → Research report →

• Designed and implemented a multi-user resource scheduling platform with role-based access control, conflict-resolution workflows, authenticated REST APIs, and GitHub Actions CI/CD.

Methods React, Node.js, MongoDB, REST APIs, GitHub Actions

Repository →

New York University Abu Dhabi

• Lead the technical implementation of an online platform for a human-AI research project.
• Build, deploy, and maintain the system used to conduct the research and collect structured experimental data.
• Contribute to study design and translate research requirements into platform behavior, data workflows, and validation checks.

New York University Abu Dhabi

• Develop and evaluate parameter-efficient methods for adapting protein language models to protein-sequence tasks.
• Build training and evaluation pipelines and run multi-seed experiments on the NYU Abu Dhabi HPC cluster.
• Compare models and configurations to determine which results hold up across repeated runs.

Zeek

• Built and evaluated customer-segmentation workflows using real-world data.
• Compared preprocessing and model choices, then used SHAP to inspect model behavior.
• Contributed to validation and evaluation procedures used in the model-development workflow.

Global Media Alliance Broadcasting

• Led audience analysis, survey design, and customer engagement analysis for a broadcasting company.
• Synthesized quantitative and qualitative findings into recommendations presented to senior leadership.

Office of Student Life, New York University Abu Dhabi

• Facilitated workshops, group discussions, peer activities, and weekly one-to-one check-ins for more than 20 first-year students.
• Connected students with academic, wellbeing, and campus resources and organized off-campus cultural excursions.

New York University Abu Dhabi Arts Center

• Managed guest check-in, crowd flow, and ticketing operations for events with more than 500 attendees.
• Supported VIP guests, performing artists, and last-minute operational changes.

B.S. in Computer Science. Study away: NYU Paris and NYU New York.

Relevant coursework Natural Language Processing, Principles of Data Science, Statistics, Data Structures and Algorithms, Computer Systems Architecture, Operating Systems.