Resume
Education
Master of Science in Human Language Technology | University of Arizona
August 2023 - May 2025
• GPA: 3.8
• Coursework: Natural Language Processing, Computational Linguistics, Syntactic Theory, Machine Learning, Statistics
Bachelor of Arts in Linguistics | University of British Columbia
September 2015 - June 2021
• Coursework: Syntax, Semantics, Pragmatics, Phonetics, Fieldwork
Experience
Customer Success Manager | Kinetic Solutions Group
June 2025 - Present
• Built and own docs.vivi.bot from scratch — a Mintlify self-service portal (80 weekly human + 24 AI-agent views) delivering bi-weekly release notes, video walkthroughs, solution templates, and a customer newsletter, scaling 1:1 CS expertise to the full customer base.
• Design and run recurring customer training sessions — walking clients through new feature releases, implementation guidance, and live Q&A — driving feature adoption and time-to-value across the book.
• Built 16 production AI agents end-to-end — scoping, model selection, prompt engineering, MCP/API integrations, and consumption monitoring — with CTO/CIO architecture reviews and prompt-engineered guardrails for safe deployment; drove ~$200K in attributed revenue, including lifting a PBX operator’s call containment rate from 30% to 85% post-deployment.
• Own success for 6 enterprise accounts across 4 verticals (hospitality, insurance, software, non-profit) — executing high-impact touchpoints at activation, expansion, and renewal; lead C-suite steering committees, frame ROI in renewals, and partner cross-functionally with Sales, Product, Engineering, and Marketing.
AI Solutions Engineer, Intern | Kinetic Solutions Group
January 2025 - March 2025
• Evaluated multi-agent, single-agent, and agents-as-tools LangGraph/LangChain architectures for enterprise use cases — scoping client needs, benchmarking tradeoffs, and leading the architecture recommendation underlying vivi.bot’s product launch; presented findings to technical and non-technical stakeholders.
• Built agent backends end-to-end — engineered LangSmith-hosted prompts (4–7 pages per customer use case), implemented an async Redis database cache with Pytest/MonkeyPatch test coverage, integrated MCP/API connections on Azure, and documented patterns and performance for customer-facing handoff.
Systems Analyst | Global Relay
October 2022 - June 2025
• Built 25+ pages of internal technical documentation and slide decks across 3 departments — enabling customer-facing teams to navigate data services systems, reducing cross-functional friction and improving how teams communicated issues back to customers; presented to internal stakeholders at all levels.
• Triaged and resolved enterprise customer incidents in real time, partnering with development teams across high concurrent volume — driving cross-functional urgency and clear stakeholder communication; led weekly standups for a team of 8.
• Executed complex SQL queries to generate custom reports, validate data integrity, and troubleshoot system discrepancies across large datasets.
• Monitored system health and job statuses using Hadoop; proactively identified and resolved processing failures.
• Developed, updated, and tested scripts in Bash to improve data processing efficiency.
Administrative Assistant for Data Services | Global Relay
January 2022 - October 2022
• Managed 50 customer data requests per day (exports, imports, migrations); won department award for efficiency, attention to detail, and communication skills — promoted to Systems Analyst within 10 months.
Language Data Analyst | TransPerfect
July 2021 - December 2021
• Analyzed AI search result relevance and logged user query intent to improve model performance; exceeded annotation KPIs at 140% productivity.
Research Assistant | University of British Columbia
November 2020 - May 2021
• Annotated and organized 200+ hours of Secwepemctsín language data alongside a team of professors; authored pedagogical resources including storyboards, grammar exercises, and a 100+ page answer key for a teaching grammar textbook.
Skills
AI & Technical: LLMs, prompt engineering, AI agent design, MCP servers, API integrations, LangChain, LangGraph, LangSmith, model evaluation & selection, Python, SQL (PostgreSQL/MySQL), Bash, Git, Docker, Azure, Mintlify
Customer Enablement & Communication: Technical documentation, digital-first enablement, customer education, onboarding & activation, executive stakeholder communication, technical-to-business translation, webinar facilitation, enterprise relationship management
CRM & CS Tools: HubSpot, Salesforce
Projects
GenAI Agent Analysis
• Evaluated and developed LLM agent workflows using LangChain, LangGraph, and LangSmith to identify the optimal architecture for a production AI product. Implemented single-agent and multi-agent systems, built a Redis database caching system, and wrote a Pytest/MonkeyPatch test suite to validate core functionality. The product launched as vivi.bot.
• Technologies Used: LangChain, LangGraph, LangSmith, Pytest, Azure
Multiclass Classification Model
• Built a predictive model to categorize TV movie reviews into “Not a Review,” “Positive Review,” or “Negative Review” using Scikit-learn’s Logistic Regression, CountVectorizer, and LabelEncoder. Achieved 90.47% accuracy after adjusting the model to handle non-English text and special characters.
• Technologies Used: Pandas, NumPy, Scikit-learn, Jupyter Notebook
English-Hindi Dictionary
• Developed a dictionary app that stores English, Romanized Hindi, and Devanagari script versions of words along with characteristics such as part of speech, gender, and tense in a MySQL database. Processes English input through an HTML UI using Flask API or curl commands.
• Technologies Used: MySQL, Flask, Docker