--- title: "Harshit Dixit - Member of Technical Staff in Bengaluru | Tal" description: "Meet Harshit Dixit, MTS @ Oracle | Vision AI | Model Serving & Inference APIs | LLM & Search Systems | Distributed Systems | Ex-Chargebee | Ex-ZEE5 based in Bengaluru. AI stack includes anthropic apis, cursor, and kimi." image: "https://tal.club/meet/harshit-dixit/share-image" --- # Harshit Dixit on Tal ## Headline MTS @ Oracle \| Vision AI \| Model Serving & Inference APIs \| LLM & Search Systems \| Distributed Systems \| Ex\-Chargebee \| Ex\-ZEE5 ## About πŸš€ MTS @ Oracle \| AI Vision Systems \| AI Platforms \| MLE , Backend & Cloud Infrastructure πŸ“ˆ ⏳ YOE: 4 \| 🧠 Lifelong Learner 🌟 About Me 🌟 Currently part of the Oracle Cloud Infrastructure \(OCI\) Vision AI team, where I work on production systems that serve computer vision models through scalable APIs\. Our platform enables developers to deploy and run AI models via synchronous and asynchronous workflows, manage projects, and run custom models at scale\. My work involves integrating trained models from research teams into reliable production systems β€” building AI inference pipelines, backend services, and cloud workflows using technologies like Docker, Kubernetes, and Terraform\. Previously at Chargebee, I was part of a team dedicated to enhancing platform infrastructure, optimizing performance, and ensuring scalability and reliability for SaaS solutions\. Before that at ZEE5, I focused on developing innovative solutions for OTT platforms, which deepened my expertise in software development and problem\-solving\. πŸ”§ My Expertise πŸ”§ Chargebee: Platform Infrastructure: Assisting in the development and maintenance of the Chargebee platform, focusing on scalability and reliability\. Integration & Performance: Learning to handle integrations with third\-party systems and working on performance optimization\. ZEE5: RCS Service Development: Contributed to dynamic sorting and personalized content recommendations using Spring Boot and Vert\.x, enhancing relevancy by 30%\. Content API Transformation: Improved API performance with Java Vert\.x, achieving 25X latency reduction, and optimized deployments with Redis and Kafka on AWS and GCP\. πŸš€ Let’s Connect\! πŸš€ I’m keen to connect with fellow tech enthusiasts, industry professionals, and innovators\. Whether it’s about technology trends, potential collaborations, or sharing experiences, let’s connect and explore new opportunities together\! Email: harshit\.dixit2022@gmail\.com ## Location Bengaluru ## AI stack anthropic apis cursor kimi langchain langfuse langgraph ## Work experience Member of Technical Staff at Oracle, Aug 2025 \- Present Β· 1 yr 1 mo, Bengaluru, Karnataka, India Software Engineer at Chargebee, Mar 2024 \- Aug 2025 Β· 1 yr 6 mos, Bengaluru, Karnataka, India, β€’ Built AI\-powered natural language filter search using LLM \+ RAG, converting user queries into structured database filters across subscriptions, customers and plans\. β€’ Developed schema\-aware validation layer ensuring AI\-generated filters map correctly to backend database fields before query execution\. β€’ Built AI observability pipeline logging prompts, responses and metadata to monitor and debug LLM behaviour in production\. β€’ Implemented large\-scale OpenSearch data cleanup workflows using Delete\-By\-Query APIs with concurrency control and rate limiting\. β€’ Optimized production systems through SQL query tuning, indexing and monitoring using Datadog and Splunk\. Software Engineer 1 at ZEE5, Nov 2023 \- Mar 2024 Β· 5 mos, Bengaluru, Karnataka, India, β€’ Implemented Vertx eventBus to re\-architecture monolithic content APIs into low\-latency, reactive microservices, handling 4k transactions per second \(TPS\)\. β€’ Developed and optimized high\-traffic APIs, reducing error incidents by 15% through robust error handling and logging mechanisms\. β€’ Introduced Redis caching system, decreasing latency by 25X \(from 250ms to 12ms\) for high\-traffic content APIs using Java Vert\.x\. β€’ Utilized Kafka for real\-time messaging, orchestrating cache purging upon new asset publications on Zee5 platform\. β€’ Successfully deployed APIs and services on AWS, migrating select services to GCP for optimal scalability and resource utilization\. Associate Software Development Engineer at ZEE5, Aug 2022 \- Sep 2023 Β· 1 yr 2 mos, β€’ Developed a Spring Boot\-powered system for dynamic asset sorting based on priority rules, enhancing user experience and engagement\. β€’ Designed and implemented a Spring Boot application for parsing Excel sheets and extracting asset details, integrating with MongoDB and external APIs for real\-time recommendations\. β€’ Utilized MongoDB integration for retrieving detailed asset information and Spring Boot's RESTful capabilities for communication with external recommendation APIs\. β€’ Increased content relevancy by 30% through dynamic rule\-based sorting algorithms, resulting in a noticeable reduction in the page leaving rate by users\. SDE Intern at ZEE5, Apr 2022 \- Aug 2022 Β· 5 mos ## Education Bachelor of Technology \- BTech, Computer Science Engineering, Bms institute of technology and management X and XII, PCM, St\. 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