Full Stack Development Cloud Computing Data Engineering
More About Me
A Full Stack Developer with experience in Front End and Back End Web Development across various tech stacks. With a knack for data driven projects using Cloud Technologies, a quick learning and technically sound developer yearning to learn and grasp new technologies.
August 2021 - August 2022
- Designed framework for Cost Governance of all Data Platform
Products leading to distribution of 98% monthly cost
previously borne by Data Platform Team with instrumentation
for product usage at team and organization level.
- Migrated an EC2 based component used to run health reports,
crons and services to Elastic Kubernetes Service leading to
90% drop in on-call infra alerts with added scope for
scalability and cost optimisation in the long run.
- Engineered setup of ELK clusters for Desktop Terminal Log
syncing across Desktop Terminal Data Centres enabling storage
of 25TB logs per day supported by a centralized analytics
system with Kibana leading to faster and easy debugging with
data replication.
- Developing and maintaining ETL pipelines and Report
generation using Python, Redis, Google Pub/Sub, MySQL,
BigQuery, Looker.
STACK : Kubernetes, Google Pub/Sub, BigQuery, Ansible,
ELK, Python, Django, RubyOnRails, Looker
July 2020 - June 2021
- Developed on Cloud based Platform for Cross-Cloud Data
Transfers.
- Developing Microservices with AWS (Lambda, RDS, SQS, SES,
S3)
- Designing Cloud System Architecture to support file
transfers on scale in Cloud.
- Working with Microsoft Graph API and developing a customised
node wrapper to be consumed by data transfer platform
STACK : AWS, Serverless Stack, Nodejs, CxJs
Sept 2020 - Oct 2020
- Carried out research on Object Detection AI Algorithms
- Implemented Automatic License Plate Detection System using
FAIR Detectron2 outperforming previous implementations
inference time by 5x
STACK : FAIR Detectron2, PyTorch
May 2020 - July 2020
- Research on Time Series Data Prediction Algorithms
- Implemented Crypto-Market Prediction Model
- Research on NLP Sentiment Analysis Algorithms
STACK : Tensorflow, Keras
Dec 2019
- Led a team of 20+ intern engineers.
- Spearheaded internal staff training's and board project
presentations.
- Designed Tableau Dashboards and Google Data Studio Reports
for Organizational Performance Indicators resulting in shift
from proprietary to open source/freeware software.
- Designed Organizational Performance Dashboards for live
Department level monitoring.
- Developed automated reporting systems thereby improving
error detection at departmental level.
STACK: Tableau Server/Desktop, Google Data Studio, Python
Tableau-server-client
August 2022 - Present
Courses: Distributed Systems,
Fundamentals of Computer Networks, Logic in CS
August 2017 - June 2021
CGPA : 9.6
Highlights
Student Council: Joint Cultural
Secretary (2019-2020)
CodeX: Vice President (2019-2020)
Smart India Hackathon 2020: Winner
2nd Runner Up ISRO
August 2015 - Feb 2017
Passing Grade : 88.6%
Highlights
Times NIE :
Editorial Team Member
March 2015
Passing Grade : 94.0%
ISRO
2nd Runner Up at SIH 2020, competing against 50+ teams across
the country facing Indian Space Research Organisation (ISRO)
problem statements.
Project Submitted : GEOPLAY
E-Cell SFIT
Designed efficient way to handle luggage in Aviation Industry
using RFID tagging systems,
Project Submitted : CASELINK
From Fullstack Web Development to Machine Learning I've worked on it all.
STACK: C++
Built distributed storage system implementing RAFT, a replicated
state machine protocol and consensus algorithm. Thereby, enabling
strong consistency and fault tolerance on all operations across
the system
A cross cloud document transfer platform.
With more and more businesses shifting to cloud there is the need
of a platform that supports corss cloud document management system
data transfer. Cloudcrate delivers a complete cloud based solution
that can potentially solve the vendor lock-in problem for storage
solutions. Effectively using cloud crate a user can transfer files
from any source DMS to their desired target DMS. Designed as
Software Developer Intern at
Prosperoware.
STACK : AWS, Serverless Stack, Nodejs, CxJs
In the COVID-19 crisis wearing masks is absolutely necessary for
public health and controlling the spread of the pandemic. What if
we had a system that could monitor whether people around us are
complying with these safety measures? With the power of deep
learning, this system can detect whether a person has worn a mask
or not.
STACK : Tensorflow, Keras, OpenCV
An Innovative solution for luggage security in the aviation
industry
STACK: FLASK PYTHON, MYSQL, HTML5, CSS3, JAVASCRIPT
Travelling is getting complex and the demand of security is
increasing evermore. With the connections to every country being
increased, the airport staff has to also look after the luggage
security. The chances of baggage being lost, or misplaced, or left
at the previous airport cannot be neglected, which affects the
credibility of the airport facilities and also the overall
travelling experience. 'CaseLink' is a solution to this problem.
The tag will contain the flight details & the other details of the
Passenger. With the details available on the ticket, the RFID tag
can be scanned & details of the passenger can be verified.
My Role : Develop Restful API for HTTP requests using Flask
Python, build MySQL db and Front End for CaseLink Website.
A CREDIT EXCHANGE PORTAL
STACK: JAVAFX MYSQL JDBC
A credit exchange platform that lets its users send, receive and
loan credits. Applicable to organizations that carry out frequent
internal transactions.
My Role : Develop Back-End MySQL and JDBC for efficient
data transfers. Include security features like hashing and
anti-SQL-Injection attack techniques.
A web based interface for booking tickets for users and viewing
and updating available movies for system admin.
STACK: FLASK PYTHON, MYSQL, HTML5, CSS3, JAVASCRIPT
My Role: Developed the RESTful API for the system. Worked
on front end design technologies. Integrating front-end and
back-end code using AJAX and cookies.
Forget about logging into your Google Meets. Use the power of
AUTOMATION
STACK: Python, Selenium
Python Automation Script to schedule logging into Google Meets as
per schedule. Can be used to automate logging into daily meetings
or school sessions. Initially built to automate logging into the
author's Google Meet college sessions, now our Auto Attender can
be used by professionals looking to save time on continuously
quitting and logging into several meets simply by maintaining a
csv schedule.
My Role : Design Automation workflow, User authentication
and batch scripting
AN EFFICIENT SOLUTION TO GEOTAGGED-VIDEO COLLECTION, VISUALIZATION
AND ANALYSIS
STACK: REACTJS, FIREBASE, GOOGLE CLOUD ML, GOOGLE MAPS
API
Geotagging Video solution consisting of a mobile application that
collects geodata (location,bearing/direction,speed) while
recording video. A web application with insightful dashboard for
all collected data, recorded video streaming capability with map
playback and a computer vision backend to detect objects in video.
Thereby delivering a complete end to end data solution. Problem
posed by ISRO at SIH 2020 Finals
My Role : Design ReactJS Web app for GEOPLAY Dashboard with
detailed visualizations and interactive Map interfaces. Engineer
Video Streaming functionality with along Map location playback.
Integrate Google Cloud ML with Web Application using Flask Server
for Computer Vision Analysis.
Educational ML Project enabling any user to build their own Rock
Paper Scissor AI on the command line. Built a Rock Paper Scissor
AI that uses computer vision for Hand Gesture Classification.
Tensorflow DeepLearning Framework along with OpenCV library was
used to implement this system in real-time with ease, on any
modern desktop.
STACK : Tensorflow, Keras, OpenCV
Creation of Balanced Scorecards for Bhaktivedanta Hospital and
Research Center
STACK: TABLEAU SERVER/DESKTOP, GOOGLE DATA STUDIO, PYTHON
(TABLEAUSERVERCLIENT)
Developed Balanced scorecard and numerous other visualizations and
Dashboards for Bhaktivedanta Hospital and Research Center
My Role : Analyzing data and preparing relevant
visualizations. Writing python automation scripts for auto-mailing
Scorecards.
Data Science Specialization with IBM and Coursera
Verfication LinkMachine Learning and Deployment on Google Cloud Platform
Verfication LinkSpecializations Conducted by Deep Learning.ai
Tf in Practice Tf Data and DeploymentComplete Course with Andrew NG and Coursera
Verfication LinkStony Brook, New York, United States