Career & Experience
Professional Experience
From enterprise software engineering to applied machine learning and AI systems — experience building, testing, and scaling real-world solutions.

Researcher - LLM Agents and Human Behavior
Clemson University
Clemson, SC / Remote
ResearchLLM Agents & Human Behavior · School of Computing
Research Areas
Large Language Models · LLM Agents · Multi-Agent Systems · Generative AI · Human Behavior Simulation · AI Evaluation
Conducting research under Dr. Long Cheng on whether societies of Large Language Model agents can realistically simulate human behavior and support early-stage behavioral studies.
Research & Contributions
- Researching whether societies of LLM agents can substitute for human participants in behavioral pilot studies.
- Reproducing published behavioral experiments and designing new studies with AgentSociety, YuLan-OneSim, Generative Agents, and related multi-agent frameworks.
- Developing a taxonomy and metrics for behavioral realism, consistency, and human alignment across decision-making and social scenarios.
- Designing and reproducing behavioral experiments such as Trust Games and Dictator Games to compare LLM-agent decisions against established human behavioral data.
- Exploring evaluation methods and benchmarks for quantifying behavioral realism, consistency, and human-agent similarity.
- Building toward a research survey on the strengths and limitations of LLM agents for simulating human behavior, including their potential role in early-stage studies.
Technologies & Research Tools
PythonLarge Language ModelsMulti-Agent SystemsAgentSocietyYuLan-OneSimGenerative AgentsMiroFishLiterature ReviewExperimental DesignBehavioral Evaluation
Graduate Teaching Assistant
Clemson University
Clemson, SC, USA
TeachingApplied Data Science · School of Computing
- Designed Jupyter labs and assignments covering data preprocessing, supervised learning, unsupervised learning, model evaluation, and visualization
- Built automated grading pipelines with Python and nbgrader to improve scoring consistency and reduce manual effort
- Maintained live course infrastructure and resolved notebook and autograder issues
- Explained machine-learning concepts and debugged student code during office hours
- Collaborated with faculty on curriculum design and course deployment on Coursera
- Debugged and resolved autograder and grading pipeline issues via Salesforce tickets, implementing fixes, validating outputs, and deploying updated notebook versions
PythonJupyterscikit-learnPandasNumPy

Software Test Engineer
Amdocs
Pune, India
Software Engineering & QASoftware Quality Engineering · Telecom Systems
- Performed end-to-end, regression, and integration testing for enterprise telecom systems supporting AT&T
- Designed test cases and validation strategies for new feature releases based on product requirements and stakeholder discussions
- Ran functional, UI, and API release tests with Selenium and Postman
- Collaborated with cross-functional global teams (US & India) in Agile environments to ensure smooth release cycles
- Participated in feature planning, requirement analysis, and system validation across multiple production releases
PostmanSelenium