Sunny Devendranadh Karri

Professional Summary

AI Product Engineer who ships full-stack AI products, manufacturing intelligence systems, and workflow automation tools. Built GenAI products with 300+ users, reduced operational and admin work by up to 95%, and blends product strategy with hands-on Python, Go, SQL, Rust, and LLM pipeline execution.

Core Skills

AI Product

• GenAI product development
• prompt pipelines
• LLM evaluation
• product analytics
• A/B testing
• user research
• PRDs
• roadmaps
• acceptance criteria

Engineering

• Python
• Go
• Rust
• SQL
• JavaScript
• HTML/CSS
• Oracle EBS
• DuckDB
• Modbus TCP
• AWS
• OpenAI API
• Claude
• Perplexity
• Cursor AI

Product & Design

• Agile/SDLC
• stakeholder management
• technical specifications
• Jira
• Figma
• Linear

Experience

1. Dec 2025 – Present

   POM Wonderful

   AI Product Engineer

   • Built real-time plant intelligence pipelines with Go, Oracle EBS, and Modbus TCP, replacing overnight reporting with hourly dashboards and cutting operational feedback loops from 24 hours to under 60 minutes.
   • Replaced a legacy Excel workflow with a Go TUI that automates EQC conversions, aging FIFO alerts, and cross-facility transfer logic for 16 SKUs across 2 facilities.
   • Delivered a Customer Service analytics platform with Python/Reflex, Go, and DuckDB, deduplicating complex Oracle transactions and serving sub-second cycle-time, revision-rate, and pricing analytics.
   • Developed a Rust-native SERAC machine-telemetry system (CLI + egui desktop app) that surfaces real-time defect grids, stoppage patterns, and per-nozzle statistics from embedded controller data to the CI team.
   • Built governed, timestamped data pipelines that created the foundation for anomaly detection and predictive forecasting across manufacturing operations.
2. Jun 2025 – Sep 2025

   ToonInDaily

   Founder & AI Product Engineer

   • Architected and launched a GenAI web app that transforms journals into cinematic comics, scaling to 300+ users and a 5% paid conversion rate.
   • Engineered prompt pipelines, preview tiers, and rendering optimizations that reduced preview latency by 35% and achieved a 1.3s median time-to-interactive.
   • Reduced compute cost per preview by 28%, improved rendering reliability by 70%, and maintained a 99.7% crash-free session rate through instrumentation-driven iteration.
   • Deployed validation rules that reduced cropping and whitespace defects by 45% and drove an 18-point increase in completion rates.
3. Jan 2025 – May 2025

   ASCA Surgical Ambulatory

   Product Manager & System Architect Intern

   • Led system design for a surgical education platform, defining data structures and application flows that supported 400+ students.
   • Owned end-to-end MVP product design, translating clinical workflows into a streamlined platform that reduced manual administrative tasks by 95%.
   • Synthesized 40+ user interviews with Python and Excel into engineering-ready specifications, enabling a 12-person cross-functional team to reduce development time by 20%.
4. Aug 2024 – Dec 2024

   PeddlerNow

   AI Product Manager Intern

   • Led AI-driven feature integration across intelligent modules and tutorials, contributing to a 35% increase in user adoption.
   • Defined PRDs, onboarding analytics, and AI design flows with Visily, Tableau, Perplexity, and Python to improve handoff quality and feature delivery speed.
5. May 2024 – Aug 2024

   The Nephrology Group

   Product Manager Intern (Data Engineering)

   • Built dashboard features and automated reporting pipelines that cut stakeholder reporting turnaround time by 30%.
   • Used SQL and Python analysis to identify workflow trends, shaping 3 feature requirements that improved operational productivity by 15%.
6. Aug 2022 – Apr 2024

   Fresno State

   Graphic Designer

   • Designed outreach materials, web banners, and Preview Day assets in Figma and Photoshop for admissions programs reaching 4,000+ prospective students and families.

Education