Pradnya Ghadge
Founding Software Engineer @Innovate More
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WORK HISTORY
Founding Software Engineer @Innovate More
San Antonio, TX, US
Led end-to-end development of a full-stack SaaS platform across web (React), iOS, and Android, backed by scalable Spring Boot microservices• Designed and optimized backend services and REST APIs processing 10k+ records with sub-50ms latency, reducing manual operational effort by ~80%• Built a conversational AI system using Python (FastAPI) serving 100+ domain-specific Q&A pairs, enabling faster issue resolution and knowledge access• Developed a geospatial routing system using DBSCAN + constrained K-Means to cluster 500+ customers, significantly reducing technician travel time and operational costs• Owned production deployments, shipping builds to Apple App Store and Google Play Store, and implemented CI/CD pipelines with AWS S3 for artifact versioning and release management• Integrated Stripe Checkout to enable secure payments and automated billing workflows within customer-facing applications
EDUCATION
Vishwakarma Institute Of Technology
Bachelor of Technology - BTech, Electronic and Telecommunication engineering
California State University, Chico
Master of Science - MS, Computer Science
Fergusson College
HSC
ABOUT PRADNYA GHADGE
I’m a backend and full-stack engineer who genuinely loves solving complex business problems, especially the messy, real-world ones that require both technical depth and practical thinking.Over the past 3+ years, I’ve built scalable backend systems using Java (Spring Boot) and Python (FastAPI) across enterprise environments like USAA and Citi Bank. From optimizing large datasets (500k+ records) to improving reliability in production systems, I enjoy digging into bottlenecks, understanding root causes, and building clean, maintainable solutions that actually move the needle.Recently, I’ve been deeply interested in AI, not just because it’s buzzing, but because it fundamentally changes how we design systems. I’ve been building Agentic AI workflows using LangGraph, RAG pipelines, structured outputs (Pydantic), and evaluation frameworks to make AI systems more deterministic, reliable, and production-ready.What excites me most is the intersection of:• Strong backend architecture• Intelligent AI-driven workflows• Real business impactI bring a can-do mindset: if there’s a problem, I’ll break it down, test assumptions, and iterate until it’s solved.Technical Stack:Java • Python • Spring Boot • FastAPI • React • Microservices • RAG • LangGraph • AWS • SQL/NoSQLCurrently exploring backend, full-stack, and AI-driven engineering roles :)
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