Amit Kumar Mannur

About Amit Kumar Mannur

Bringing over 12+ yrs. of experience in AI-driven systems and scalable microservices architecture. I have developed chatbots using Rasa and Dialog flow, integrating NLP and Distyl AI for real-time API calls and orchestrating external services through Swarm.My expertise includes implementing a notification system handling millions of notifications via Kafka and Spring Boot, as well as filing a U.S. patent for Dynamic API Hash Tokens to enhance API security. I have led projects to design and deploy scalable microservices using Docker and Kubernetes, improving system efficiency by 35% and reducing downtime by 20%.With a strong technical background in Java, Spring Boot, AWS, Kubernetes, Spring Hibernate, Springboot, Restful Webservice, Microservice, Kafka, Mongo Db, Elasticsearch, Kubernetes Docker, Amazon, AI, Python, Distyl AI, CCAI.

Experience

1. Senior Software Engineer

   T-Mobile

   Sep 2018 — Present · Seattle, WA, US

   Developed and maintained AI-driven chatbots using Rasa and Dialog Flow, integrating NLP for intent recognition and response generation. Integrated Distyl AI to process unstructured notes into actionable prompts, allowing real-time API calls for various services, including weather, stock prices, etc. Integrated multiple APIs using Swarm for orchestrating external services in various AI-driven chatbot workflows. U.S. Patent Application Entitled: Dynamic API Hash Tokens, Matter No: P20445US01: Bitmap dynamic ABF hashing to secure API algorithm is approved and filed for US patent. Designed and implemented a notification system that handled millions of notifications using Kafka for messaging and Spring Boot for backend services. Directed the development and deployment of a scalable microservices architecture, using Docker and Kubernetes, which increased system efficiency by 35% and reduced downtime by 20%. Developed 18 independent microservice proxies (e.g. orders, payment, offers) using Java 11, Spring Boot, and Angular 5. Developed and deployed scalable microservices architecture using Java and Spring Boot, improving system efficiency by 30% and reducing downtime during peak traffic by 20%. Spearheaded a project to redesign the core software architecture, leading to a 50% increase in system efficiency and reducing downtime by 30% through the application of microservices and Docker containerization techniques reducing server response times by 50% and handling over 2 million transactions daily using technologies like Docker, Kubernetes, and WebClient. Technologies: Rasa, dialog flow, Distyl AI, Apache Kafka, Spring Boot, Apache Flink, AWS SQS, S3, DynamoDB, Redis, Swarm, Google CCAI, Java, Microservices, Springboot, Redis cache, APIGEE EDGE, Kubernetes, Docker

Education

• Sri Jayachamarajendra College of Engg., MYSORE

  Bachelor's degree, Computer Science

  2006 — 2010

• M.S. RAMAIAH UNIVERSITY OF APPLIED SCIENCES, BANGALORE

  Master's degree, Computer Science

  2012 — 2014

Skills

• Angular Java Script
• Spring Framework
• Sdlc
• Apache Pig
• Creative Solutions
• Sql
• Restful Webservices
• Machine Learning
• J2ee Web Services
• Software Development
• Python
• Middleware
• Hive
• Spark Sql
• Behavior-Driven Development (Bdd)
• Gemfire
• Unix Shell Scripting
• Spring Security
• Big Data
• Core Java
• Unix
• Apache Spark
• Apache Kafka
• Neo4j
• Statistical Data Analysis
• Spring Mvc
• Software Engineering
• Redis
• Spring Boot
• Camel-Kinesis
• Representational State Transfer (Rest)
• Websphere Mq
• Sqoop
• Camel-Kafka
• Spring Microservices
• Shell Scripting
• Cassandra
• Data Collection
• Spring
• Architecture