Hello,

I have been working on solving complex backend micro/monolith services in a polyglot environment. I have worked on Java/Springboot/hibernate tech stack extensively with Golang and python flask as the secondary platforms. I also have working efficiency in deploying/maintaining the app development lifecycle on AWS and GCP.  I have worked in projects related to various domains such as Fintech, health care, ed-tech, telemetry, ad-tech, and web services for huge donation aggregator NGO platforms. 

I am also avidly interested in machine learning/ NLP/NLU based problems, I have done my master thesis in deep learning and worked on few deep learning-related projects. I also develop chatbots with regards to core NLP/NLU and language modeling. Recently I have been doing POC's on deployment lifecycle involving Kubernetes/Istio/EKs clusters. 

I like to get engaged in providing solutions to complex backend design architectures. I have been involved in boot-strapping products for startups and ensured scalability, availability, high performant and resilient architectures. I have prior experience of working with remote teams and also contributing individually. 

I try to be upbeat with cutting-edge technologies and highly interested in machine learning/NLP-based problems. Few of my recent pass-time projects are based on alphabet recognition on emnist dataset using CNN, Multi-class text classification based on LSTM with attention mechanism, a chatbot with intent classification, and entity recognition using rasa NLU/Core. 

In my last project, i was involved in setting up an overall high and low-level design for a fairly complex micro-service-based project where the major issue was data integrity/transactions, high availability, and complex free-text search. We developed the core in java spring-boot, did ANA using keycloak, used headless Strapi CMS for data modeling and out-of-the-box crud APIs, elastic search for enhanced multi-faceted text search. The overall architecture was deployed in AWS Eks using a AWS cloud deploy template using AWS Codepipeline, AWS Lambda, AWS Codebuild, and AWS EKS. We used Kafka for syncing data between Postgres RDS and Elastic search. We also ensured JUnit test coverage of 90/90 line/branch to ensure robustness and testability in our source code. 

I am versed with source code versioning in GitHub/Gerrit/Gitlab/Bitbucket. Have ample knowledge of git-hooks and working with patches. I have also been involved in rigorous code review cycles and i always to try to follow best practices and deliver with utmost quality.