Prynsh N Email & Phone Number

Berlin, De

• Provided software consulting services to notable clients such as Wolt, Salad Cloud, and DirectTv.• Developed customized solutions for Integrated Digital and WovenPlanet, optimizing their software systems.• Implemented innovative strategies to enhance client satisfaction and drive business growth.

Germany

Revolutionizing Scheduling with AI: A Case StudyIn my role as an AI Lead Engineer, I spearheaded the creation of an AI scheduling assistant. This tool, developed using LLM JavaScript and integrated with openAI and Prompt engineering, was designed to simplify and personalize scheduling through chat agents.My ContributionsUsed Langchain and JavaScript to connect to openAI and Prompt engineering, such as Chain of Thoughts. Enabled prompting and REACT prompting to build chat agents that help with scheduling. Oversaw the product through to MVP and ready for beta release. Managed the launching of the beta release. Finetuned the LLM OpenAi for scheduling preferences of users to give more accurate prompt results. Gained experience using the conversational buffer memory to build the memory of individual conversations of the user interaction to build a preference persona.

Clients: Woven Planet Holdings, Inc.Designed and developed a high-speed map data ingestion pipeline using Go and Python.Enhanced map data rendering by integrating Geoserver, WMTS, and Vector Tiles.Implemented AutoGPT-based AI for map testing and lane detection, utilizing LangChain, OpenAI API, and PineCone.Leveraged AWS and GCP for cloud services, employing tools like Terraform for infrastructure management and Node.js for backend services.Sharecare, Inc.Scaled a healthcare app from 100 to 1 million daily active users using Go and gRPC.Built distributed application patterns for asynchronous communication, improving scalability.Developed CI/CD pipelines, enabling efficient build and release processes.Used MySQL, AWS, Azure, and PostgreSQL to enhance database performance and manage complex workflows.GartnerArchitected microservices with Python, Node.js, and Go.Designed a high-performance ETL solution using MapReduce, TEZ, and Spark for data processing.Applied Terraform, Docker, and Kubernetes to manage cloud infrastructure.Led a team to deliver optimized, scalable solutions, handling dependencies and maintaining infrastructure on AWS and GCP.

Berlin, Germany

Designed, architected, and developed the map ingestion data pipeline for the map. We processed 70-200,000 tiles per map using Go-based gRPC server and Python-based based Rest Servers in 30 seconds. The data was backed and served Using GraphQl Apis.Have build NodeJs Servers to support the Map testing plateform which takes big maps of 100K tiles and pass message to python based AWS lambdas for Automated Quality control.Used AWS/GCP for cloud and Uses s3 SNS SQS cloudWatch Lambdas steps functions for building aws tech stacks. Extensive devops experience was used to maintain the infrastructure using IAAS , Such as terraform.Architected microservices using Python/Nodejs/Golang for a Fortune Gartner Business. The Website serves the data using GraphQl , Have backend managed by IAAS devops solutions.Maintained the infrastructure using Terraform and Kubernetes and worked with AWS, including Lamda, CloudWatch, CloudSearch, MSK Kafka, SNS, SQS, S3, EC2, and Docker Azure.

Germany

Developed video streaming applications using FFmpeg, HTML/CSS, and Node.js.Built scalable APIs using REST and integrated AWS SNS and SQS for real-time messaging.Utilized TypeScript, React, and AWS infrastructure as code services (EMR, Lambda) to build scalable applications.Integrated AWS EMR to process large datasets and developed a custom HTML/CSS video player using React. Architect, build and deploy well-managed core APIs and SDKs to access LLMs and our proprietary FMs including training, fine-tuning and prompting tasks, including orchestration SDKs. Worked on API integration projects, using REST, Node.js, and Express.js to build secure and scalable applications.Developed custom chatbots and interactive applications utilizing generative AI, incorporating expertise in Large Language Models (LLMs) and fine-tuning techniques.Integrated Langchain to enhance AI application capabilities and leveraged REST, Node.js, and Express.js for API integrations.Gained proficiency in machine learning concepts, specifically related to AI model training, validation, and implementation.Built a video streaming platform that allows video encoding using a Docker-based FFmpeg video compressor.Built back-end applications using Node.js, Express.js, and PostgreSQL.Deepened understanding of system design and architecture, focusing on scalability and efficiency in AI-driven environments.

Designed and developed Azure change tracking (in Go) that manages 800 million to 1.5 billion virtual machines and monitors changes in 48,000 files, 400 registries, and 500 software products every 10 seconds.Implemented Azure change tracking that could handle 10,000 transactions and 40,000 uploads per second. Used a Go-based agent that could run in Windows and Linux distros, gRPC, and a REST API for a Go server that was Dockerized and hosted in Azure.Oversaw the launch and ensured that the update management solution was generally available in Microsoft. Supported 70,000 virtual machines that were onboarded in 10-minute intervals and used the ELK stack for monitoring and live production issues.Monitored critical failures and bugs when the product became publicly available and solved 78 production fixes in one year.Led a team of six developers and architected the solution.Performed sprint planning and backlog grooming using the Agile framework and Jira tools.

Bangalore Urban, Karnataka, India

Designed and Developed the Atlassian support pipeline (https://support.atlassian.com) for Trello. It has handled 30 million user support requests for Atlassian products and enabled the queries to be resolved. Designed and developed the Atlassian Community platform, which is similar to Stack Overflow. The platform helps users resolve queries through the community and handles 10,000 requests and reads per day.Improved the Jira file upload platform, which previously had a 30 MB limit and uploading at scale had many hard limitations. I scaled it to handle 5 GB uploads and tickets and removed the bottleneck, which reduced customer support requests by 50%.Used Tech stack:Spring, NodeJs, Distributed systems, Golang, Microservices, AWS( s3, Cloudwatch, IAM, Fargate, Docker), Containerisation, Kubernetes, Operators, Terraform,ElasticSearch, ELK, Kibana, Prometheus , Cassandra,PostgreSQL,SQL,MongoDB, GraphQl,

Bangalore Urban, Karnataka, India

Appx is and managed consolidated dashboard to host all the application inside and outside Walmart space in single dashboard.Roles and ResponsibilitiesDesigned Application Using OOPS, Enterprise Design Patterns, SolidUsed AWS tech stack like DynmoDb+Sqs+s3+Fargate+LoadBalancing+AwsLamdasSolved technical challenges for high load and scalabilityFor front end Used React+ JavaScript+ Typescript+Grunt+Angular+es6+html+css+gruntCouchBase+MongoDb+MemeCache for Nosql Technologies+cassandra Developed backend using Java8+SpringBoot+Spring-data-jpa+Hibernate+lambdas+multithreadingFor Continuous Integration Git+Maven+JenkinsHandling large data using Elastic Search+Spark+MapReduce+scala+python+HadooSecurity OATH+SSO+Spring Security DevOps Docker +KubernetesWorked in multithreading using java concurrency packages

Bangalore Urban, Karnataka, India

Developed the product for Morgan stanley which is used by FED GOVERNMENT of USA in order to generate reports which is used for auditing purpose.Report contains specific numbers which is generated by advance algorithmsRoles and ResponsibilitiesDeveloped Front End modules using angular 2+ Typescript+ html/css+Jquery+Javascript+bootstrapUsed Object-Oriented design+ Data structures and algorithms to solveproblemsDevelop backend module using spring boot +spring cloud+Java8+Aws+AzureJava Memory Management JMeter, Grabage Collector, ThreadDump Amazon web services, Ec2, Ecs, Cloudwatch, FargateUse system design to design scalable applicationsFor Async Message Kafka and RabbitMqUsed Enterprise design patterns to create high level enterprise design For NoSql CassandraFor DevOps Docker+kubernetes