01Full-stack AI
JobFIT
Better matches. Clearer next steps.
Web application
Next.js · TypeScript · FastAPI · Supabase
COMPUTER SCIENCE
RUTGERS ’27
Jival Patel.
AI, software & data.
I turn complex problems
into useful software.
01 / SELECTED WORK
From idea
to implementation.
15 projects.
AI, apps, data, and algorithms.
02Document AI
Document Intelligence
Complex documents. Grounded answers.
Notebook prototype
Python · PyMuPDF · Tesseract · Transformers
03Full-stack ML
RiskLens
Model scores. An analyst’s view.
Application prototype
React · TypeScript · FastAPI · PostgreSQL
Explore 12 more projectsA closer look at the complete collection.
02 / EXPERIENCE
Work with
real-world context.
Healthcare. Pharmaceutical AI.
Consumer analytics.
01
Hoot Health
AI Sales and Marketing Enablement Intern
Bringing AI and automation into healthcare go-to-market work: executive and customer-facing dashboards, a voice-agent prototype, and prospect research and CRM workflows.
- Designed voice-agent prompts, reasoning logic, conversation flows, and API architecture.
- Automated research, segmentation, outreach, and CRM workflows with Claude, Clay, HubSpot, Instantly, and Customer.io.
- Created personalized materials for healthcare professionals and pharma executives.
10,000+Healthcare prospects in automated GTM workflows
$200K+Closed-won deals supported with personalized sales materials
02
Pfizer
Advanced AI-Powered Document Intelligence Externship
Built document-extraction, OCR, chunking, indexing, and RAG pipelines using Python, LlamaIndex, and open-source language models for pharmaceutical-document retrieval.
- Extracted and structured 6 document-field categories: vendor names, product codes, lot numbers, dates, signatures, and document references.
- Compared OCR engines and preprocessing methods, then evaluated prompt design, chunking strategies, retrieval relevance, extraction accuracy, and model trade-offs.
6Pharmaceutical document-field categories structured
03
Beats by Dre
Data Analytics Extern
Turned customer-review data into consumer insights using Python, pandas, and Excel.
- Built dashboards and presented 12 Gen Z insights that contributed to a $1.2M product-marketing decision.
- Automated recurring processing and validation to reduce manual analysis time.
30,000+Customer reviews analyzed and validated
~70%Reduction in manual analysis time
03 / ABOUT ME
Curiosity,
put to work.
I’m studying computer science with a minor in economics at Rutgers. I like the space where technology meets a real human problem.
More about me
My work spans full-stack applications, document intelligence, data analytics, and healthcare automation. The common thread is turning complexity into something people can act on.
I’m drawn to understanding a messy problem, building something useful, and making it work for the people using it.
Rutgers AI Club · NVIDIA 6G Developer Program
Rutgers University–New BrunswickB.S. Computer Science · Economics minorExpected May 2027
MY TOOLKIT
Software
Python · Java · TypeScript / JavaScript · C / C++ · React · FastAPI · REST APIs
AI & data
RAG · OCR · LlamaIndex · pandas · scikit-learn · SQL · Power BI · Excel
Infrastructure
PostgreSQL · MySQL · Docker · AWS · Railway · Supabase · Linux · Git
GTM & automation
HubSpot · Clay · Instantly · Customer.io · Prospect research · CRM workflows
Learning & credentials
NVIDIA — 6G Developer Program
Google — Foundations of Cybersecurity; Play It Safe: Manage Security Risks; Connect and Protect: Networks and Network Security.
View credentials on LinkedIn04 / LET’S CONNECT