Ritik Sharma

Software Developer at Blenheim Chalcot                                                 

LANGUAGES: Python, Java, JavaScript, TypeScript, HTML, C/C++, Bash, CSS3
FRAMEWORKS: Next.js, React Native, TensorFlow, Keras, Node.js, FastAPI, Flask
SOFTWARES: Kubernetes, Docker, Promethus, Android Studio, MongoDB Compass, Git
DOMAIN: Mobile App Development, Website Development, Backend development, DevOps, Cloud developer, Machine Learning, Deep Learning, Computer Vision
CLOUD: Google Cloud Platform, Amazon Web Services, Digital Ocean
DATABASE: MongoDB, Firestore, Realtime Database, In Memory Redis Database
LIBRARY: React.js, Socket.io, Agora, Redux, Chakra, Material UI, React Navigation

Experience


PropertyPistol - Software Developer

Software Development: Working on developing two react native apps and services consisting different transitions, displaying different visuals of property and multiple details. Apps developed by React Native CLI for Android and iOS.

Developed Modules: Projects, Home loan, Property View, Passbooks, Enquiries, Drawing Canvas.

Libraries: Redux Saga/Thunk, Native base, React Navigation, Firebase.

TechStack: React.js, React Native, Angular, TypeScript, JavaScript, Node.js, Python - FastApi, MongoDB, Redis, Jira/Redmine.

Edvora EdTeach StartUp - Cheif Technology Officer

Cross-team Development Management: Managed cross-team development, setup workflows and pipelines,documentations and technology operation procedures across the teams.

Developed Modules: Examination Portal, Classrooms, Timeline, Attendance, and Videoconferencing with Whiteboard.

DevOps Pipeline: Setup an efficient DevOps pipeline across the system with SOPs for testing, staging, and production environments.

Automatic Unit Testing: Set up automatic unit testing, bug reporting and bug solving pipeline, and testing evaluation procedures using Jira.

Production Facilitation: Facilitated production of the entire system, auto-scaling of clusters, horizontal scaling of pods, and load balancers.

Deployment & Monitoring: Wrote deployment procedures and testing scripts and monitored kubernetes pods and deployments, setting alerts for reporting any service issues.

Edvora - Tech Lead

Development: Developed Examination Portal, Classrooms, Timeline, Video Conferencing with Whiteboard.

CI/CD Pipeline: Managed CI/CD pipeline deployment and management of frontend, backend, cloud services, and third-party services, and deployments through Docker and Kubernetes on Digital Ocean.

Feature Control: Setup role and permission based engines for feature control at different access levels.

Videoconferencing: Utilized Agora SDK for videoconferencing and socket.io for real-time communication.

TechStack: React.js, React Native, Next.js, Chakra UI, Node.js, Express.js, TypeScript, JavaScript, FastAPI, Redis, MongoDB, Digital Ocean, Kubernetes, Docker, Socket.io, Agora, Jira.

GreenBoard - Full Stack Software Developer

Software: Working on full software package that consists of 3 native and 3 web-apps build on React Native and React. 3 Backend projects were build in Node.js and deployed over Aws EC2 Instance with auto scaling and Elastic load balancers.

Tech Stack: Mongo Express React Node.js & React Native

GreenBoard - React Native Developer

Project: Education app involving courses, assignments, lectures, tests, user profile, attendance, and parent-view.

Language: React Native

NGB Living - Machine Learning Intern

Project: Designing an interactive chat assistant to automate the existing process for addressing customer queries.

Dataset Creation: Dataset was created using FAQs and queries that the company received through emails

Model Creation: Built on TF-IDF vectorizers, GloVe Embeddings, Cosine Similarity, and Query Handler

Model Deployment: Deployed the model on WordPress and Cloud-Run (GCP) server-less platform

Tech Stack: Cloud-Run (GCP), Docker, gcloud-cli, Javascirpt, Python, Flask, git

iPing Data Labs - Machine Learning & Computer Vision Intern

Project: Automating quality assurance for industry workers while ensuring safety paraphernalia and smooth execution of the industrial processes using Computer Vision.

Computer Vision: Performed object detection and logging time periods by deploying YOLO-V3 with transfer learning and fine tuning classifications for all layers of the network.

Data Creation: Generated the data, scraped and tested for redundancy from the industrial video scenarios using Python v3.7 and Google Colaboratory.

Machine Learning: Fine-tuned YOLO-V3 using pre-trained MS-COCO weights, modified for custom dataset.

Association of Computer Engineering Students - Technical Advisor

Competitive Programming: Created a competitive programming environment in the college by organising several Hackathons and Webathons ranging for over 24-hours. Created CP problems for the hackathons.

Technical Workshops: Organized events and workshops based on tools and technologies like C, C++, Python, Java, R, Swift, PHP, and NetBeans, depending upong the students’ profile and requirements.

Technical Festivals: Managed and organized technical festivals related to College and Department.

Below is a collection of my most interesting projects


Website Development

Tensorflow.js, BlazeFace, MobileNet, React.js, Next.js, Chakra, Agora, Redux, Socket.io

Online Exam Proctoring System

A web application that allows students to take exams online and proctor the exams. The system is build on top of below Audio/Video Meeting Platform. The system uses tensflow.js, BlazeFace for face detection, MobileNet for cheating object recognition like Books, Mobiles, etc. It generates events for malpractice detection and inform host of the meeting.

React.js, Next.js, Chakra, Agora, Redux, Socket.io

Audio/Video Meeting Platform with Agora

Developed and deployed a WebRtc Meeting Platform where users can have group audio calls, video calls & Screen share with extended functionalities like chat, file sharing, auto attendance and more. The platform is built on Agora’s WebRtc SDK and is deployed on vercel. The backend is built on FastAPI with Sockets.io and deployed on Kubernetes from Digital Ocean.

React.js, Next.js, Chakra, Redux

Classrooms, Exams, Timetable & Attendance

Developed and deployed a web application that allows teachers to create classrooms, exams, timetable and attendance, helps students join classroom, take exams, check timetable and attendance, and more. The application is built on React.js and Next.js and deployed on Vercel. The backend in build in FastAPI and deployed on Kubernetes from Digital Oceans.

React.js, Next.js

Performance testing using Server-side-rendering

Developed and deployed a server-side rendered blog website using Next.js with Prisma and MySQL integration. Tested the website’s server response and performance in contrast to static, universal, and client-side rendered websites based on server-response time, DOM loading and processing, speed ̈ index, time to first byte, and final interactive time

Cross-platform App Development

React-Native, Flutter

CogAn-Friend

Developed a cross-platform smartphone application using React-Native, Redux, and Node Package Manager (NPM). Used over 20 JavaScript packages necessary for the User Interface (UI) components, Firebase, and Firestore services. Structured the back-end using GCP for authentication, and back-end management of user services. Used Cloud Firestore for user data storage using its client library for Python v3.7 and Node.js for database interactions. One database was dedicated to the user profiles of the patients and doctors while the other database comprised only of the results.

2022

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    Cheif Technology Officer at Edvora

    Managed cross-team development, setup workflows and pipelines, documentations and technology operation procedures across the teams

  • Setup an efficient DevOps pipeline across the system with SOPs for testing, staging, and production environments

  • Wrote deployment procedures and testing scripts and monitored kubernetes pods and deployments, setting alerts for reporting any service issues

  • Facilitated production of the entire system, auto-scaling of clusters, horizontal scaling of pods, and load balancers

2021

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    Teach Lead at Edvora

    Worked with a team of full-stack engineers and spearheaded the management and development of multiple complex modules of the system.

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    Full Stack at GreenBoard

    Working on full software package that consists of 3 native and 3 web-apps all connected to a common backend thus allowing the accessibility through browser and mobile applications.

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    Frontend Intern at GreenBoard

    React Native education app involving courses, assignments, lectures, tests, user profile, attendance, and parent-view.

2020

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    Website Development contract from NGB Living

    Impressed by the results, the same German Company I formerly worked with as a Machine Learning Intern offered a full contract for website development and enhancement.

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    Finished my first freelance project

    Worked with a Malaysian client on a cross-platform mobile application using React Native. Finished the project with satisfactory results in 15 days.

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    Published my first research paper

    Published a paper for a complete product developed for detecting depression using vision.

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    Expedited another project at University of Cambridge

    Role: Cloud Machine Learning & Full Stack Developer
    Predicting Anemeia among users by predicting the Vitamin D, Vitamin B-12, and Iron content from medical reports and images of the patients.

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    Landed an internship at a German Company

    Role: Machine Learning Intern
    Designed and deployed an interactive chat assistant using machine learning to automate the existing process for addressing customer queries about the company services.

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    Started working at University of Cambridge

    Role: Development Intern
    Finished three projects simultaneously and successfully developed three cross-platform applications using React-Native, and Flutter.
    Managed the Application development and Cloud team to deploy the software for clinical trials in parallel collaboration with the Machine Learning team.

2019

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    First Internship at iPing Data Labs

    Role: Machine Learning & Computer Vision Intern
    Automated quality assurance for industry workers while ensuring safety paraphernalia and smooth execution of industrial processes using Computer Vision.

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    Elected as a technical advisor at the Association of Computer Engineering Students

    Established a competitive programming environment in the college, organised Hackathons and Webathons over 24-hours, created problems for the hackathon. Organized events and workshops based on tools and technologies like C, C++, Python, Java, R, Swift, PHP, and NetBeans, depending upong the students’ profile and requirements. Managed and organized technical festivals related to College and Department.