Backend Engineer with AI/LLM Systems Focus

Vishveshwara Guthal Gowda

Syracuse, NY 315-***-**** ************.*@***********.*** LinkedIn GitHub SUMMARY

Software Engineer with 5+ years of experience designing and shipping backend systems across AI-powered products, SaaS platforms, and media marketplaces, owning architecture from API design to production deployment.

Currently building production RAG and LLM-backed services at Uber using Python, FastAPI, LangChain, and FAISS, delivering measurable gains in support efficiency, response quality, and feature adoption at scale.

Strong backend foundation in Node.js and distributed system design, with hands-on experience delivering both serverless architectures and 3-tier AWS deployments supporting real users and revenue workflows.

Proven ability to move products from early build to stable scale, having delivered a multi-vendor marketplace and a video-on-demand platform with secure auth, payments, search, and traffic growth ownership.

Comfortable operating end-to-end across AWS infrastructure, CI/CD automation, API reliability, and cross-team delivery, with a track record of reducing incidents, improving release confidence, and building systems that teams trust. EXPERIENCE

UBER Software Engineer (Backend / AI Systems) Aug 2025 - Current

Orchestrated a backend service in Python and FastAPI to assemble trip events, support chats, and driver notes into a single case timeline, reducing manual context switching for support agents during high-volume incident windows.

Implemented a RAG pipeline using document chunking, embeddings, and similarity search to retrieve relevant trip policies and past resolutions, improving consistency of agent responses across repeat issue categories.

Integrated an LLM-based summarization layer to generate short case briefs from retrieved context, enabling agents to close complex tickets 20–30 minutes faster per case without automating final decisions.

Deployed services on AWS (ECS, S3, IAM) with async processing and request queues, reliably handling 18K+ monthly support cases while keeping response times stable during surge periods.

Set up CI/CD with GitHub Actions for test runs, container builds, and staged deployments, working closely with product and frontend teams to release features behind flags and monitor rollout health via logs and SQL-based metrics. INFINITE INFOLAB Software Development Engineer – Backend Jul 2020 - Dec 2023

Architected backend systems for a video-on-demand and marketplace platform using Node.js on AWS (EC2, RDS, S3, Lambda, API Gateway), supporting 25K+ monthly viewers and 1,200+ listings.

Implemented core business logic including vendor onboarding, search, booking, authentication, access control, and payments using JWT and AWS IAM, preventing double-booking and unauthorized access.

Structured deployment pipelines and environment isolation on AWS, enabling independent releases, faster incident recovery, and smooth integration with Next.js frontends for SEO-friendly pages. VIVMA SOFTWARE INC. MERN Stack Developer May 2019 - Jun 2020

Built and refined RESTful APIs for authentication, listings, and transactions using Node.js, Express, and MongoDB, supporting 12K+ monthly API calls with stable performance during demos and pilot usage.

Engineered responsive UIs using React, designing reusable components and optimized rendering logic that increased average session time by 27% across customer-facing workflows.

Structured MongoDB schemas with indexed queries and implemented JWT-based RBAC, reducing read latency by 34% and preventing unauthorized actions across admin and user flows. TECHNICAL SKILLS

Backend Development: Node.js, Python, Flask, Express, RESTful APIs, Microservices Architecture, Asynchronous Programming, Distributed Systems, API Design, Serverless Architecture, 3-Tier Architecture, Message Queues Frontend & Web Development: React, Next.js, HTML5, CSS3, JavaScript, Frontend–Backend Integration, API Consumption, SEO Optimization, Web Performance Optimization, Responsive Design AI / ML & LLM Systems: Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), LangChain, Embeddings, FAISS, Vector Search, Prompt Engineering, Rule-based Validation, Model Serving, Text Classification, Cloud & Infrastructure (AWS): AWS EC2, ECS, Lambda, API Gateway, S3, IAM, Serverless Computing, Containerization, Infrastructure as Code (CloudFormation, Terraform), Load Balancing, Auto Scaling, CloudWatch Monitoring DevOps, Tools & Delivery: Git, GitHub Actions, CI/CD Pipelines, Docker, Deployment Automation, Environment-based Releases, Jira, Agile / Scrum, Release Management, Incident Management Data, Security & Compliance: SQL, MongoDB, RDS, Data Modeling, Query Optimization, JWT Authentication, OAuth 2.0, Role-Based Access Control (RBAC), Audit Logging, SOC-2 Awareness, Secure API Design, PostgreSQL EDUCATION

Syracuse University, Syracuse, NY Masters of Science in Information Systems Jan 2024 – Dec 2025 Bangalore Institute of Technology, India Bachelor of Engineering, Computer Science May 2016 – Aug 2020

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