# Sudarshan Guttula > AI Product Engineer | LLM Applications • Voice AI • AI Systems Architecture | Creator of GymAI (Cross-Platform AI Fitness Platform) Location: Los Angeles, California, United States Profile: https://flows.cv/sudarshan I build real-world AI applications that integrate large language models, mobile systems, and user workflows into reliable products. I recently developed GymAI, a cross-platform conversational fitness platform that generates personalized workout and nutrition plans through voice interactions. The system combines a React Native mobile app (phone and wearables), a FastAPI backend, and structured LLM pipelines with validation, retries, and state management to make probabilistic model outputs reliable in a user-facing product. A major focus of my work is reliability in AI systems. Instead of treating LLMs as simple APIs, I design guardrails, structured prompts, validation layers, and asynchronous workflows so AI features behave predictably in production environments. Through this project I gained hands-on experience designing system architecture, handling mobile constraints, debugging real failures, and iterating based on actual usage behavior. My interests are in applied AI and AI product engineering — building systems that people can use daily, not just prototypes. I’m particularly interested in AI Product Engineer, Applied AI Engineer, and LLM application roles where I can bridge backend engineering, user experience, and machine intelligence to ship practical tools. ## Work Experience ### AI Product Engineer @ Shri Sai Tech LLC Jan 2025 – Present | Monroe, NJ • Architected and shipped the GymAI platform, translating product requirements into scalable AI-powered features • Built FastAPI orchestration services for LLM integration, prompt routing, and structured response validation • Implemented validation layers and fallback mechanisms to handle LLM edge cases in production • Developed backend APIs supporting real-time AI-driven fitness recommendations across mobile platforms • Optimized prompt pipelines and system prompts to improve reliability and consistency of AI-generated programs • Designed modular AI feature architecture enabling scalable integration of additional models and personalization layers • Led end-to-end feature development from concept to deployment for AI-powered mobile experiences • Collaborated with product and engineering teams to iterate on AI features based on user feedback and product roadmap priorities ### AI Systems Engineer @ Centene Corporation Jan 2024 – Jan 2025 | St Louis, MO • Designed intelligent automation workflows for monitoring and correcting ETL pipeline failures across healthcare data systems • Built AI-assisted data validation pipelines to detect anomalies in ETL workflows and automatically trigger corrective processing • Developed optimized SQL and data transformation pipelines improving data processing performance by 20%+ • Implemented automated error classification and remediation strategies reducing recurring pipeline failures • Engineered log analysis tools to identify root causes of recurring ETL failures • Integrated AI-driven debugging workflows to accelerate issue resolution across data pipelines • Optimized data processing pipelines to reduce latency and improve overall system throughput • Collaborated with engineering teams to integrate AI-assisted debugging and log analysis tools for faster production issue resolution ### Applied AI Engineer @ Garni Software, Inc Jan 2023 – Jan 2024 | Simi Valley, CA • Built AI-driven ticket classification pipeline using React Native and REST APIs, improving issue triage efficiency by 30% • Designed logging pipeline to capture employee bug data and automate issue triage for engineering workflows • Analyzed UI interaction data and optimized CSS interface components, increasing weekly platform engagement by up to 60% • Implemented automated validation and monitoring tools to track system performance and detect anomalies • Engineered NLP models for automated sentiment analysis and intent detection, reducing critical ticket response times by 40% • Built REST APIs supporting AI-driven ticket processing and classification workflows • Optimized frontend components improving platform engagement by up to 60% • Collaborated with engineering teams to enhance AI-driven product features and workflows ### AI Systems Engineer @ Google Jan 2021 – Jan 2023 | San Jose, CA • Developed automated QA and data validation pipelines for Google Cars with Volvo, reducing production limitations by up to 55% • Processed JSON KPI datasets to identify testing variance and improve deployment efficiency by 90% • Optimized MS SQL queries and server-side data pipelines, reducing latency by 40% and improving performance by 20% • Built data validation frameworks to ensure consistency across production systems • Debugged Java mobile systems using Android Studio and log analysis, increasing engineering productivity of up to 50% • Implemented automation tools reducing manual QA effort and improving release cycles • Collaborated with engineering teams to enhance reliability of automotive data systems • Conducted cross-platform testing across Android and iOS devices, achieving 95% deployment readiness ### AI Software Engineer @ County of Los Angeles, Department of Parks and Recreation Jan 2019 – Jan 2021 | Alhambra, CA • Developed a mobile application using React Native to improve access to park information and services • Built location-based search functionality enabling users to find parks based on proximity and features • Designed filtering systems allowing users to discover parks based on amenities and activities • Improved user engagement by 45% through enhanced mobile usability and feature optimization • Led documentation efforts outlining product requirements, system design, and development roadmap • Collaborated with cross-functional teams to align application features with organizational goals • Conducted client meetings to define project scope, timelines, and feature requirements • Worked with a team of 15 engineers to design and deliver a scalable mobile application ### Software Engineer @ Decore-ative Specialties Jan 2018 – Jan 2018 | Monrovia, California, United States ### Software Developer @ Decore-ative Specialties Jan 2017 – Jan 2017 | Monrovia, California, United States ## Education ### Master of Science - MS in Computer Science California State University, Los Angeles Jan 2019 – Jan 2020 ### Bachelor of Science - BS in Computer Science California State University, Los Angeles Jan 2015 – Jan 2019 ### Master of Business Administration in Finance, General The University of Kansas Jan 2025 – Jan 2027 ## Contact & Social - LinkedIn: https://linkedin.com/in/sguttula --- Source: https://flows.cv/sudarshan JSON Resume: https://flows.cv/sudarshan/resume.json Last updated: 2026-03-22