# Praneeth Josyula > Software Engineer @ Holiday Channel® | React.js | Java | Python | Spring Boot | Full-Stack | Location: San Francisco Bay Area, United States Profile: https://flows.cv/praneethjosyula As a software engineer at Holiday Channel®, I leverage my expertise in MERN stack technologies to optimize the website's search function, enhancing user engagement and reducing response time. I also design and implement RESTful APIs for backend services, ensuring high uptime and improving data retrieval speed. Additionally, I collaborate with a cross-functional team to develop a conversational AI chatbot, contributing to a significant increase in user interaction. Prior to joining Holiday Channel®, I worked as a machine learning engineer at Trimble Inc., where I collaborated with a team of developers on fine-tuning GPT-4 and LlamA-2 Large Language Models (LLMs) to optimize the Ruby code generation process for Trimble - SketchUp. I also implemented a scalable search function using Microsoft Azure Functions and Langchain for the Retrieval Augmented Generation (RAG) pipeline, leading to a substantial improvement in efficiency and performance. I am currently pursuing my Master of Science in Computer Science at the University of Colorado Boulder, after completing my Bachelor of Technology in Computer Science from SRM IST Chennai. I am passionate about applying my skills and knowledge to create innovative solutions that enhance user experience and drive business growth. ## Work Experience ### Software Engineer @ Holiday World Jan 2025 – Present • Architected microservices advertising platform using Node.js and TypeScript, processing 500K+ daily API requests with 99.9% uptime and <100ms response time through Redis caching • Designed RESTful APIs with OpenAPI specs enabling third-party integrations and partner onboarding, reducing integration time by 60% • Built campaign management dashboard with React and TypeScript featuring real-time analytics, optimization tools, and dynamic bidding strategy adjustments • Containerized microservices with Docker and deployed to AWS ECS with auto-scaling, achieving 70% faster deployments and zero-downtime updates across 8+ services • Implemented OAuth 2.0 and JWT authentication with Auth0, ensuring GDPR compliance and PII protection for 100K+ monthly users with zero security incidents ### Software Engineer @ Holiday Channel® Jan 2024 – Present | Remote • Developed and optimized the website’s search function source code using MERN stack technologies, resulting in a 15% increase in user engagement by enhancing search accuracy and reducing response time by 10%. • Designed and implemented RESTful APIs for backend services, supporting over 5,000 monthly active users, ensuring a 98% uptime and improving data retrieval speed by 12%. • Collaborated with a small cross-functional web application development team to design a conversational AI chatbot, enhancing user experience and contributing to a 10% increase in user interaction during the early launch phase. ### Software Engineer @ Holiday Channel® Jan 2024 – Jan 2025 • Implemented Apache Kafka data pipeline processing 50K+ events/minute with exactly-once semantics to power analytics, audience targeting, and user segmentation • Built Java Spring Boot content platform serving 2M+ monthly page views, reducing server costs 30% through CDN caching and query optimization • Designed RESTful microservices API handling 100K+ daily requests across PostgreSQL and MongoDB, improving response time 45% and reducing database load 35% • Developed AI recommendation engine using Python and OpenAI GPT-4 API, increasing user engagement 35% and conversion rates 18% through personalized suggestions ### Machine Learning Engineer - Capstone @ Trimble Inc. Jan 2023 – Jan 2024 | Westminster, Colorado, United States • Collaborated with a team of developers on fine-tuning GPT-4 and LlamA-2 Large Language Models (LLMs) to optimize the Ruby code generation process for Trimble - SketchUp, resulting in a 20% increase in accuracy and relevance of generated code. • Implemented a scalable search function using Microsoft Azure Functions and Langchain for the Retrieval Augmented Generation (RAG) pipeline, leading to a 30% improvement in efficiency and performance. • Facilitated regular sprint reviews as the project lead with the team to track progress, address challenges, and ensure alignment with project goals, ultimately resulting in an on-time delivery of the Copilot extension to Trimble - SketchUp. ### Software Engineer @ Trimble Inc. Jan 2023 – Jan 2024 • Engineered scalable Python backend services for SketchUp’s AI-powered 3D generation platform, processing 10K+ daily API requests with average latency <200ms through asynchronous processing and optimized Azure infrastructure • Built automated code generation pipeline integrating Azure Cognitive Services and OpenAI GPT models, fine-tuning embeddings and implementing RAG (Retrieval-Augmented Generation) to improve output accuracy by 40% • Architected serverless data processing pipeline using Azure Functions and Pinecone Vector DB, implementing distributed caching and retry mechanisms to process 1M+ embeddings daily with 99.8% success rate • Partnered with cross-functional ML and product teams to deploy 5+ production models using Azure ML pipelines, implementing A/B testing framework and monitoring dashboards that enabled data-driven optimization decisions ### Student Assistant @ CU Bookstore Jan 2023 – Jan 2024 | Boulder, Colorado, United States • Communicated with managers to assist students with their computers and application specific issues • Assessed and troubleshot computer problems brought by students, faculty and staff ### Machine Learning Intern @ AppliedRoots Jan 2021 – Jan 2021 | Hyderabad, Telangana, India • Interned at AppliedRoots, an Artificial intelligence and ML EdTech company over the summer collaborating on the team building a peer recommendation system leveraging NLP toolkits and profile matching. • Assisted in the implementation of Siamese networks to enhance profile matching accuracy, leading to a 20% improvement in matching success rate. ## Education ### Master of Science - MS in Computer Science University of Colorado Boulder ### Bachelor of Technology - BTech in Computer Science SRM IST Chennai ### Bachelor of Technology in Computer Science SRM Institute of Science and Technology (SRMIST) ## Contact & Social - LinkedIn: https://linkedin.com/in/praneeth-josyula --- Source: https://flows.cv/praneethjosyula JSON Resume: https://flows.cv/praneethjosyula/resume.json Last updated: 2026-04-10