Shuvojit Kar

Grade: 85

Software Engineering: Modeling Software Systems using UML Software Engineering: Implementation and Testing Software Engineering: Software Design and Project Management

Software Engineering Category: Software Architecture Category: Software Engineering Tools Category: Systems Design Category: Software Testing Category: System Software Category: Software Framework Category: Agile Software Development Category: Data Model Category: Project Management

Grade: 9.12/10

PREPARATORY COURSE FUNDAMENTALS OF PROGRAMMING LANGUAGE WITH BASIC DATA STRUCTURES (JAVA) 2 WEEKS Learning the fundamentals of Java and its basic building blocks. Start with writing basic Java programs. Also explore arrays & array lists. C1. DEVOPS ESSENTIALS C2. WEB APPLICATIONS AT SCALE (DELIVERED LIVE) C3. CICD PIPELINE, SYSTEM PROVISIONING AND DEVOPS ADVANCED CONCEPTS C4. CAPSTONE CAPSTONE PROJECT The capstone project will stitch all the concepts learnt during the program.

Grade: 8.5

Professional Degree ● Be familiar with the origins and future of cloud computing and how this technology will impact new developments in technology and business fields. ● Gain first-hand experience by using the key tools behind effective software design and fundamental Cloud Computing and DevOps methodologies. ●Understand the Technicals of containers and orchestration and how this type of programming can be applied in today’s work environment. ●Understand the opportunities offered by DevOps and the automation in new product development. ●Improve and balance security and performance in software design. ●Distinguish the advantages and disadvantages of different applications (Serverless, Cloud Native, etc.) and how to get the most out of them in your organization. ● Understand the metrics that predict high performance in top technological companies. ●Understand the appropriate tools to implement Cloud Computing and DevOps projects.

Grade: 75%

Activities and societies: Lead Scoring Case Studies, Big Data Analytics, Bike Sharing Assignment

Problem Solving · Interpreting Data · Data Collection · Statistics · Data Modeling · Databases · Analytical Skills · Data Analytics · Microsoft Power BI · Data Analysis · MySQL · Data Visualization · Amazon Web Services (AWS) · Machine Learning · SQL · Python (Programming Language) · Microsoft Excel.

Grade: 85%

Machine Learning Classification Algorithms Decision Tree Python Programming Machine Learning Concepts Deep Learning Linear Regression Ridge Regression Lasso (Statistics) Regression Analysis Logistic Regressio.

• Followed company policies and editorial guidelines to craft thorough, well-written content.
• Carefully documented technical workflows in private wiki for education of newly hired employees.
• Edited and proofread technical documents for accuracy and consistency.
• Architect intelligent solutions integrating AI agents with enterprise data using RAG, Text-to-SQL, and semantic search;
  optimize retrieval, ranking, and search quality for context-aware insights.
  Build AI agents using LangGraph, Semantic Kernel, and Google ADK; evaluate model/agent performance using
  functional metrics with observability via distributed tracing and audit logs.
  Design scalable cloud data pipelines (Apache Spark, Kafka) and secure integrations with OAuth2 and short-lived
  credentials.
• Architect intelligent solutions integrating AI agents with enterprise data using RAG, Text-to-SQL, and semantic search;
  optimise retrieval, ranking, and search quality for context-aware insights.
  Build AI agents using LangGraph, Semantic Kernel, and Google ADK; evaluate model/agent performance using
  functional metrics with observability via distributed tracing and audit logs.
  Design scalable cloud data pipelines (Apache Spark, Kafka) and secure integrations with OAuth2 and short-lived
  credentials.

• Translating complex cloud concepts into clear, accessible content for a diverse audience.
  Staying updated on the latest cloud trends and updates to provide accurate information.
• Engaging with the tech community to share insights and foster discussions about cloud innovation.
  Authored developer-facing documentation for public cloud platforms, including cloud networking, compute, and ML/AI technologies.
  Produced detailed documentation for data systems, such as SQL databases, data warehousing, and analytics tools.
• Architecting Scalable Cloud Productivity Solutions designing and implementing enterprise-grade cloud architectures using Google Workspace, Microsoft 365, and identity management platforms. Specialized in hybrid and cloud-native deployments, security integrations, and performance optimization across global organizations.
• Automating with Code & Infrastructure as Code IaC
  Proficient in Python, Google Apps Script, and Terraform. Built automated workflows for endpoint management, mail security, and compliance monitoring. Delivered scripted provisioning pipelines and infrastructure blueprints that cut deployment times by 40%+.

• Designed and documented end-to-end cloud architectures integrating compute, storage, networking, and AI/ML components.
• Authored developer documentation for cloud networking services, APIs, and AI/ML workflows.
• Created Vertex AI deployment guides for model training, prediction services, and integration with BigQuery analytics.
• Led customer enablement sessions demonstrating security optimization and performance tuning in GCP.
• Produced PoCs for enterprise clients to evaluate Google Cloud’s AI/ML and data analytics capabilities.
• Conducted technical assessments for cloud migration and AI/ML integration projects.
• Built prototype architectures showcasing BigQuery ML and Vertex AI pipelines for real-time analytics.
• Supported pre-sales processes with solution documentation, architecture diagrams, and cost-optimization strategies.

• ️Vast Learning Resources: The Microsoft Learn platform provides an extensive collection of learning materials, making it a valuable resource for skill development.
• ️Badge Achievement: I have successfully completed the challenge and earned 52 badges, demonstrating significant learning progress and dedication.
• ️Community Engagement: The Microsoft Learn community offers opportunities to connect with other learners and experts through online events and forums, fostering collaboration and knowledge sharing.
• ️Valuable Insights: The challenge provided valuable insights into various Microsoft technologies and best practices, enhancing I have understanding and skills.

• Selected as a facilitator under the Google Cloud career readiness program to lead and mentor participants through foundational and advanced cloud computing tracks.
• Guided over 100 students on completing Qwiklabs quests covering Google Cloud services like Compute Engine, App Engine, IAM, Cloud Storage, BigQuery, and Kubernetes Engine.
• Completed 10+ skill badges and hands-on labs, earning recognition for consistent contribution and mentoring.
• Promoted awareness and adoption of cloud technologies through webinars and community sessions

• Managed large-scale GKE and OpenShift clusters for internal and customer workloads across hybrid and multi-cloud environments.
• Automated infrastructure deployment with Terraform and implemented GitOps workflows using ArgoCD and Helm.
• Integrated monitoring (Prometheus/Grafana) and tracing (Istio, Jaeger) to improve observability and reduce mean time to recovery (MTTR).
• Facilitated cost optimization and resource scaling initiatives, resulting in a 30% reduction in cloud spend.

• Developed and implemented student guidance plans to foster academic success.
• Advised students on educational, career and social opportunities.
• Encouraged students to explore age-appropriate and career-related opportunities.
• Monitored student progress to drive successful academic outcomes.
• Analyzed student academic records to assess educational and career goals.