Lovesh Bishnoi

Lovesh Bishnoi Email and Phone Number

Cloud Specialist | MSc in Computer Science | AWS Certified | Turning complexity into opportunity with AI @ bluesolve GmbH
Lovesh Bishnoi's Location
Augsburg, Bavaria, Germany, Germany
About Lovesh Bishnoi

I am a Cloud Infrastructure Specialist at Bluesolve GmbH, where we harness the power of AI to turn complexity into opportunity. My current role involves designing, implementing, and optimizing scalable cloud infrastructures using a diverse range of tools and technologies, including various AWS services, Java, Python, OpenAI, and Large Language Models (LLMs). I actively manage CI/CD pipelines with Jenkins, deploy containers using Docker, and handle tasks with JIRA. By integrating AI-driven solutions into our cloud systems, I help Bluesolve create innovative platforms that solve complex problems for our clients.Some of my key responsibilities as a Cloud Infrastructure Specialist include: • Designing and implementing cloud-based architectures with a focus on AI-driven solutions. • Managing and optimizing CI/CD pipelines for streamlined development processes using Jenkins and Docker. • Leveraging AWS services to build and maintain scalable and secure cloud environments. • Integrating OpenAI models and LLMs to enhance system intelligence and automation. • Collaborating across teams using tools like JIRA.In addition to my current role, I am pursuing a second master’s degree in Computer Science from the University of Passau, following the completion of my first master’s in Mobile and Embedded Systems. This continuous learning reflects my dedication to staying ahead in the rapidly evolving world of technology, particularly in cloud computing and artificial intelligence.Previously, I worked at Sportec Solutions AG, where I specialized in Infrastructure as Code (IaC) using TypeScript and the AWS CDK. My independent work there included integrating Datadog for real-time monitoring and performance optimization of our cloud resources. I also developed custom CDK constructs aligned with AWS best practices, driving efficiency and scalability within the company’s cloud infrastructure.During my master’s thesis, I explored disaster recovery by developing a novel algorithm (PSA-CIST), which enhanced my skills in data science, machine learning, and agile project management.In every role, I strive to apply cutting-edge technologies and agile methodologies to deliver tangible value to the businesses I work with. My GitHub portfolio showcases the depth of my technical skills and passion for cloud technology.Contact: lovesh.bishnoi@web.de“𝘕𝘰𝘯𝘦 𝘤𝘢𝘯 𝘥𝘦𝘴𝘵𝘳𝘰𝘺 𝘪𝘳𝘰𝘯, 𝘣𝘶𝘵 𝘪𝘵𝘴 𝘰𝘸𝘯 𝘳𝘶𝘴𝘵 𝘤𝘢𝘯. 𝘓𝘪𝘬𝘦𝘸𝘪𝘴𝘦, 𝘯𝘰𝘯𝘦 𝘤𝘢𝘯 𝘥𝘦𝘴𝘵𝘳𝘰𝘺 𝘢 𝘱𝘦𝘳𝘴𝘰𝘯, 𝘣𝘶𝘵 𝘩𝘪𝘴 𝘰𝘸𝘯 𝘮𝘪𝘯𝘥𝘴𝘦𝘵 𝘤𝘢𝘯.” – Ratan Tata

Lovesh Bishnoi's Current Company Details
bluesolve GmbH

Bluesolve Gmbh

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Cloud Specialist | MSc in Computer Science | AWS Certified | Turning complexity into opportunity with AI
Lovesh Bishnoi Work Experience Details
  • Bluesolve Gmbh
    Cloud-Infrastruktur Spezialist
    Bluesolve Gmbh Aug 2024 - Present
    Munich, Bavaria, Germany
  • Sportec Solutions Ag
    Cloud Application Developer - Football (Aws)
    Sportec Solutions Ag Apr 2023 - Sep 2023
    • Leveraged TypeScript within AWS Cloud Development Kit (CDK) for Infrastructure as Code (IAC), streamlining AWS resource provisioning and management.• Independently integrated Datadog into our infrastructure, enabling real-time monitoring, alerting, and performance optimization for cloud resources and applications.• Developed custom CDK constructs using TypeScript and Python, aligning with AWS best practices.• Collaborated closely with team members to troubleshoot technical issues, minimizing downtime, and documented infrastructure processes to boost overall team efficiency.• Stayed up-to-date with the latest trends in cloud computing and serverless technology through continuous learning, contributing new ideas and improvements to the organization.
  • University Of Passau
    Master Thesis Project
    University Of Passau Oct 2021 - Sep 2022
    Passau, Bavaria, Germany
    Topic: Topology-aware communication node placement for power grid restoration• Implemented a new PSA-CIST algorithm to restore the connectivity of a disjoint communication network using external Repair Resources in Python.• Tested and performed the Data analysis of the algorithm with different topologies.
  • Hcltech
    Analyst
    Hcltech May 2016 - Mar 2018
    Noida, Uttar Pradesh, India
    • Proficient in AWS and VMware administration, with hands-on experience in setting up and configuring services such as EC2/VMs, IAM, S3, VPC, and Active Directory• Experience with automating provisioning, scaling, and management of infrastructure resources using Infrastructure as Code (IAC) tools such as CloudFormation• Understanding the importance of monitoring and troubleshooting an AWS CI/CD pipeline using CloudWatch and CodePipeline to ensure smooth and efficient delivery of code changes• Collaborated with the team in Virtual & Cloud Server Migration, Patching, and Testing activities• Successfully completed the training program and also received a Certificate of Excellence
  • Hcltech
    Trainee Analyst
    Hcltech Oct 2015 - Apr 2016
    Gurugram, Haryana, India
  • Tlc Relationship Management P Ltd
    Administrative Executive
    Tlc Relationship Management P Ltd Apr 2014 - Nov 2014
    Gurugram, Haryana, India
  • Infiniteitindia
    Trainee Web Developer
    Infiniteitindia Jun 2013 - Apr 2014
    Gurugram, Haryana, India
  • Niit Technologies
    Executive
    Niit Technologies Jul 2011 - Mar 2012
    Gurugram, Haryana, India

Lovesh Bishnoi Education Details

Frequently Asked Questions about Lovesh Bishnoi

What company does Lovesh Bishnoi work for?

Lovesh Bishnoi works for Bluesolve Gmbh

What is Lovesh Bishnoi's role at the current company?

Lovesh Bishnoi's current role is Cloud Specialist | MSc in Computer Science | AWS Certified | Turning complexity into opportunity with AI.

What schools did Lovesh Bishnoi attend?

Lovesh Bishnoi attended Universität Passau, University Of Passau, Volkshochschule Augsburg, Maharshi Dayanand University.

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