AI/ML Engineer

APOORV TRIPATHI

Boca Raton, Florida 561-***-**** *****************@*****.***

LinkedIn Github Portfolio

PROFESSIONAL SUMMARY

Graduate Researcher at Florida Atlantic University specializing in applying Large Language Models

(LLM) to solve business problems. Passionate about Machine Learning and AI, with current experience as a Data Science Intern focused on building scalable data infrastructure. CORE SKILLS

● AI/Machine Learning: Python, Natural Language Processing (NLP), Machine Learning, Deep Learning, LLM Prompting, Scikit-Learn.

● Frameworks & Tools: LangChain, Model Context Protocol (MCP), Fast API, Docker.

● Data & Cloud: Google Big Query, Power BI, Data Structures & Algorithms (DSA). WORK EXPERIENCE

Kahani QA/Data Science Intern Lead Oct 2025 – Present

● Implemented a scalable data infrastructure for the mobile app launch, and created dashboards with 10+ granular KPI’s using Firebase, PowerBI, and Big Query.

● Defined core product metrics such as engagement, retention, and onboarding rates. ALLEN Digital Product Operations Manager Jan 2024 – Jul 2024

● Improved non-tech queries turnaround time from an average of a week to 2 days.

● Streamlined cross-functional workflows for 1000+ cohorts, through automation and documentation.

HeyCoach Program Manager May 2023 – Dec 2023

● Led a team of associates and built a network for the B2B vertical, onboarding first 56 clients in the first month of operation.

● Oversaw the development of "DSA Visualizer," a learning product that improved user engagement on the website.

Newton School Operations Associate Nov 2021 – March 2023

● Boosted student experience scores (NPS) by 40% by creating dashboards on MS Excel and implementing strategies based on daily metrics.

● Managed a team of support associates, improving student retention to approximately 80%. RESEARCH & PROJECTS

Multi-Sourced Retrieval-Augmented Generation Based Named Entity Recognition for Clinical Data Aug 2025 – Present

● Formulated an in-context learning Classification framework that employs multiple databases to build context for the Large Language Model for effective identification of Clinical Named Entities.

● Achieved an F1 score of 81% for Classification by fine tuning open sourced Large Language Models.

Multi-Agent Reinforcement Learning for Supply Chains Oct 2025 – Present

● Researching how a multi-agent AI system can perform dynamic pricing using reinforcement learning in a constrained environment.

Customer Support Ticket Classification System Sep 2025 – Present

● A RAG based AI chatbot that automatically classifies customer support queries and creates tickets using Large Language Models.

Customer Churn Prediction API Sep 2025 – Oct 2025

● A production-ready machine learning API that predicts customer churn probability using ensemble methods and custom feature engineering.

● Built with FastAPI, scikit-learn, and MySQL integration, achieved an accuracy of 89% using AdaBoost.

EDUCATION

● Florida Atlantic University MS in Computer Science GPA: 3.78/4 Aug 2024 – Aug 2026

● SRM IST Chennai BTech in Information Technology GPA: 6.8/10 Jan 2017 – Jan 2021 PUBLICATIONS

● IoT Based Smart Farm Monitoring System, International Journal of Recent Technology and Engineering (IJRTE), Nov 2019.

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