Recommendations

Fire in the Hole!

IoT Project

• Brainstormed a IoT-Architecture based solution with python that reads sensor data (temperature, humidity, smoke) from the SenseHAT of Raspberry Pi to automate fire detection in a given space for alerting and to collect valuable data sent to Cloud for further analytics purpose
• Implemented CoAP (Server & Client), MQTT Client to sense data via Raspberry pi and push data to Ubidots Cloud Service, which stores data (JSON file) in its DB for actuation and future prediction
• Formulated a threshold variable which is subscribed(MQTT) by the Actuators when breached the app along with triggering the actuators sends alert to a subscribed Email through SMTP Protocol

• Date of Completion: Apr 2019
• Technology Used: MQTT,CoAP, Java, Python
• Project repo

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Cloud Computing and Network Structures

• Developed a backend application with REST API architecture (Node.js, PostgreSQL) for recipe Management System which is deployed on a set EC2 instance, ELB to distribute traffic, ASG is setup for High Availability and implemented CI/CD pipeline with CircleCI which creates an artifact to be put in S3 bucket. The artifact is then deployed using AWS code deploy.
• The infrastructure of the application including VPN, EC2, ELB, SNS, Lambda Function, SES, RDS, DynamoDB, S3, Route 53, CloudWatch, Autoscaling Group based on cloud watch trigger, and IAM (Roles and policies), etc. are brought up using Terraform
• The user of the app can request for links for all his recipes which is achieved using a lambda function which executes a SES script to send an automated mail to the users registered e-mail address

• Date of Completion: Dec 2019
• Technology Used: EC2, S3, SNS, Dynamo DB, Travis CI, ELB, CodeDeploy
• Project repo

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Travcomp

NodeJs Project

• Visualized the backend implementation to create a Rest API server which serves a service for clients to get authenticated and lookup for Hotels and travel accommodations for a specific location using Swagger Docs
• Built a web application using MEN(Node.js, MongoDB, Express) Architecture for potential customer to book hotels
• Implemented Node server at the backend with MongoDB as database

• Date of Completion: Aug 2018
• Technology Used: Node.js, Angular, MEAN, MongoDB, Express


• Project repo

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Noted!

MEAN Stack Project

• Built a Task Manager app to keep track of all tasks created by a user implemented using MEAN stack
• Implemented Node server at the backend with MongoDB as database & AngularJS for front-end client

• Date of Completion: Apr 2020
• Technology Used: MEAN Stack
• Project repo

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Pick My Subjects

SQL Application

• Built a SQL script for creating a database for students to maps their career goals with the subjects they need to choose to achieve the skills for their respective Goal
• Implemented table-level check constrains, Computed columns based on a function, and encrypted sensitive data using Column Data encryption
• Visualized the data from the database using PowerBI to keep tracks of students by their locations and success rate

• Date of Completion: Apr 2018
• Technology Used: MS SQL Server, DBeaver, PowerBI
• Project Repo

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Network Deployment

Linux

• Hosted Website by Implementing Webserver, DHCP, DNS, ARP, NFS, IPsec VPN tunnel with firewall for improved security within same subnet
• Designed and implemented a multi-location, inter-networking strategy for small and stable organization which had 5 locations. Built-Strategy includes OSPF with 85% IP redundancy, frame relay & RSTP.

• Date of Completion: Dec 2018
• Project Repo

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Weatherman

Kubernetes Microservice Architechture

• Managed Configuration using Ansible to setup and destroy A) Jenkins Server with elastic ip B) Kubernetes Cluster using kops and automated the installation of metrics server, cluster autoscaler, Nginx ingress controller and Letsencrypt cluster certificate issuer C) three RDS instances running on separate VPC peered to Cluster VPC
• Deployed the pre requisites for the applications using helm charts such as Kafka, Zookeeper, Metrics Stack ­ Prometheus, Grafana and Logging Stack ­ EFK (ElasticSearch, Fluentd, Kibana)
• Developed Helm charts to deploy 3 Micro services developed using Nodejs and containerized image is stored on a private Docker hub repository, installing deployments, services, Horizontal pod Autoscaler’s and Ingress resource, to establish path based routing
• Decoupled the front end micro­service from other services by implementing Kafka streaming between then and used Jenkins to implement a CICD pipeline to build, push docker images to Docker Hub and perform rolling update style deployments on the Kubernetes cluster

• Date of Completion: Dec 2020
• AWS Deployment using KOPS
• Gcloud deployment using google kubernetes engine
• Azure deployment using Azure kubernetes service

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