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.