#### Hello , I am a self taught Cloud/Devops/MLops/AIops/Chatops Engineer working at JP Morgan Chase & Co . I don't have expertise skills but yes I can get things work !!
I am **Aditya Kumar**, a DevOps Engineer with extensive experience in cloud computing, automation, and infrastructure management. Currently, I work at **JP Morgan Chase & Co.**, where I contribute to cutting-edge cloud solutions, CI/CD automation, and large-scale infrastructure deployments. My professional journey spans multiple industries, where I have successfully designed, implemented, and optimized DevOps pipelines, cloud-native architectures, and AI-driven automation tools.
\
**I have done variety of work in several domains.**
* Building Alexa app with voice to text generation using AWS Lex and Polly
* Develop and Deploy serverless UI on VueJs and Node
* Building sync/async API's using Lambda and API Gateway
* Build and Deploy flask app on EKS
* Building MS Teams bot using Azure and AWS integration.
**My recent work deals in following projects**
* AWS intercloud migration
* On-premise to cloud migration
* Lambda SWAP ECS Blue Green Application
* Serverless infrastructure
* Cost optimizing techniques over AWS cloud
* Python 2.7 support to handle deprecation
* API gateway with Swagger and API Keys
* Monitoring using Zabbix,ELK,New Relic and much more
* Infrastructure as code using Terraform and cloudformation
* Hashicorp Infrastructure orchestrator
* Microsoft Bot Framework
* ChatOps and NLP Bots
* Azure LUIS and QnA
* Chalice apps and API's
* AWS Lex with Polly
**I like R\&D and POC's on new tech and technology. Recent works**
* [x] TIBCO SnappyData for high compute spark jobs
* [x] ECS bluegreen stack setup with zero downtime using Lambda SWAP
* [x] AWS Lex with Textract to process attachments in one on one bot chat
* [x] Using NbInteract/VoilΓ for Interactive Jupyter Notebooks
* [x] Jupyter Notebook as API service using Jupyter Kernel Gateway
* [x] Microsoft Bot Framework integration with AWS services using AWS API gateway
* [x] Chalice apps for easy deployment of lambda and creating API's
#### **Key Highlights of My Experience**
πΉ **DevOps & Cloud Expertise**: Extensive experience with AWS, Azure, Kubernetes, Terraform, and Jenkins for automated infrastructure provisioning and CI/CD pipelines.\
πΉ **Automation & Infrastructure as Code (IaC)**: Implemented scalable and resilient cloud infrastructure with Terraform, Helm, and Ansible.\
πΉ **Conversational AI & Machine Learning Pipelines**: Built chatbot solutions using AWS Lex, Azure LUIS, and QnA Maker, along with ML model deployment using AWS EMR and DataPipeline.\
πΉ **Security & Compliance**: Integrated DevSecOps practices, static code analysis, vulnerability scanning (Checkmarx, SonarQube), and cloud security best practices.\
πΉ **Hybrid Cloud & On-Prem Integration**: Designed and implemented hybrid Kubernetes clusters, integrating on-premises and cloud-based workloads.
### **Certifications & Achievements**
π― **AWS Certified Solutions Architect Associate (CSAA)**\
π― **Certified Ethical Hacker (CEH)**\
π― **Salesforce Administrator & Developer Certification**\
π― **Python Programming Certification from IIT Mumbai**\
π― **Morningstar Spot Award & Innovation RSUs for R\&D Contributions**
#### **Letβs Connect!**
π§ Email: \
π GitHub: [GitHub Profile](https://github.com/ttn-aditya)\
π LinkedIn: [LinkedIn Profile](https://linkedin.com/in/aditya-kumar-devops)
Feel free to explore my projects and professional journey here! π
---
# Agent Instructions: Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.
Perform an HTTP GET request on the current page URL with the `ask` query parameter:
```
GET https://ak2019cs.gitbook.io/aditya-kumar/master.md?ask=
```
The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.
Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.