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AI Product Engineer – Pyq AI (YC W23)
Drove Pyq AI's transition from enterprise sales to Product-Led Growth by designing the pre-launch strategy for Mulligan, an integrated insurance automation platform. Pyq has raised $1.4M and automates the back offices of insurance brokerages.
Key Impact
- •Cut live demo latency 10x (150s → 15s) for PLG launch of Mulligan
- •Saved clients ≈ $700K annually by automating ~90% of brokerage back offices
- •Reduced quote time from 1 hr to <10 min with Docker-containerized RPA
Software Engineering Intern – Learning Economy Foundation
Built an AI-powered credential generation tool called 'Boost Automation' that automated the creation of digital credentials using OpenAI's GPT and DALL-E 3 APIs.
Key Impact
- •Designed and implemented AI Boost Wizard with React and Tailwind CSS
- •Integrated OpenAI function calling to auto-generate structured credential fields
- •Built DALL-E 3 integration for automatic logo generation
Data Engineering Intern – Inabia Software & Consulting
Enabled pharmaceutical clients to ensure data integrity for compliance audits and boost processing efficiency by 20% by building ETL pipelines to ingest/normalize 1 TB of sensitive health data.
Key Impact
- •Improved regulator trust by developing NLP models to flag problematic advertising
- •Enhanced classification accuracy by 15-20% across 500K inquiries
- •Reduced miscommunication liability for health-care organizations
Projects
Brain Tumor Classifier
Interactive deep learning system with explainable AI for classifying brain tumors across 4 categories using dual CNN and Xception models.
Key Impact
Twitter Clone Web Application
Full-stack Twitter prototype supporting 1M+ posts with optimized schema design, deployed on AWS with Docker, Nginx & Gunicorn.
Key Impact
Coronavirus Twitter Analysis
Analyzed 1.1B tweets in 10+ languages across 20+ countries, creating 4 critical visualizations highlighting global cultural and linguistic differences.