Profile

Alok Kumar

Cloud Engineer at Hewlett Packard Enterprise.

2.6

Years of Experience

Education

university of massachusetts, maharaja agrasen institute of technology, ramkrishna mission vidyapith deoghar

Companies

university of massachusetts amherst, hewlett packard, university of massachusetts amherst, deepmind, university of massachusetts amherst, goibibo, goibibo

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Mobile Number

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Github

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Experience

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    2022 - 2022

    university of massachusetts amherst

    Graduate Teaching Assistant

    Worked as Grader for 490A (Applications of natural language processing)

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    2022 - 2022

    hewlett packard

    Cloud Software Engineer Intern

    I worked as a Cloud Software Engineer Intern at Hewlett Packard Enterprise. During my internship, I worked on some interesting and challenging real-world projects. 1. I designed a system capable of monitoring the liveliness of on-premise docker containers from cloud, capable of detecting and restarting any unhealthy container. The system reduced container downtime significantly. Tech: Java, Golang, kubernetes, Docker, Kafka, REST API, FAST API, RabbitMQ Server 2. Integrated Prometheus client into various microservices across storage fabric manager(SFM) to collect four golden monitoring signals(Latency, Traffic, Error and Saturation). Created Grafana Dashboards to visualize the golden signals and setup alerts for any unexpected behavior. The system reduced downtime of microservices all across SFM by ~10%. Tech: Prometheus, Grafana, Python, Golang, kubernetes, Docker, Bastion

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    2022 - 2022

    university of massachusetts amherst

    Student learning assistant

    Worked as Student learning assistant for umass Athletics department.

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    2022 - 2022

    deepmind

    Graduate Student Researcher

    UMass CS696DS Industry Mentorship Program Research Project Name: Random Block Sparse Networks - benefits of width without its costs. 1. Explored if a random block sparse wide neural network can match the performance of the wider network but be more efficient,to verify the conjecture if width is primarily responsible for improved performance. 2. Performed numerous experiments on Fully connected neural networks, Convolutional Neural Networks and Residual Neural Networks for different width and sparsity ratio. 3. Found that the accuracy of model in all cases increased as we increase the width and sparsity by a similar factor, which is in support of our conjecture Industry Mentor: Manzil Zaheer (DeepMind, Google)

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    2021 - Present

    university of massachusetts amherst

    Master of Science in Computer Science

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    2019 - 2021

    goibibo

    Software Engineer

    I worked as Software Engineer at Goibibo train's backend team. I was mainly responsible for managing and expanding server-sided systems and client-facing APIs. I was primarily using Golang and Django as my tech stack. Apart from that I also used other additional tools and technology like Git, Gerrit, Docker, Kafka etc. At Goibibo I worked on multiple customer-facing projects which impacted more than 100,000 customers on daily basis. A couple of worth mentioning projects that I did here during my stint were: 1. Designed a graph database and an optimized search query algorithm to query data from a dataset of 7000 trains and 10,000 routes with an average complexity of O(n). 2. Developed a highly optimized recommendation engine capable of suggesting the most optimal route for the commuter in case of non-availability of original booking request based on variables like nearby stations, availability, price, etc in ~300ms over the combination of ~10,00000 routes. 3. Developed a high-performance e-ticketing platform for the Hyderabad subway system catering to 1 Million+ commuter per month. 4. Developed a central system to facilitate the exchange of data among various teams at Goibibo which was used for designing learning and prediction systems. The system comprises multiple central APIs which were integrated by teams all across Goibibo to send different types of data to the central data repository. The system also provided another set of APIs to the data team using which they were able to consume the data stored in the central repo for training ML models used for various kinds of forecarsting. The system was quite stable with an average response time of ~15ms at a scale of ~130k rpm.

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    2018 - 2018

    goibibo

    Back-End developer intern

    I worked as a software developer intern at Goibibo Inventory management team. As an intern, I worked on the project of developing a dashboard-enabled solution that powered & monitored most of the A/B tests and experiments being served at Goibibo. This empowered product & business teams with better visibility which in turn led to data-driven planning & execution of critical initiatives. For this project, I created an intuitive dashboard in Reactjs that enabled the people in leadership positions to visualize the results of various A/B tests going across the Goibibo. I also created the backend system written in Golang on top of the Facebook Planout experimentation framework. This system was used both for powering the test cases and automatically generating analysis reports from the experiment results. For my above work as an intern, I was awarded a pre-placement offer from Goibibo.

Experience

96 Skills

Algorithms

Algorithms

Android Development

Application Programming Interfaces (API)

Backend

Bootstrap

c

C++

Computer Vision

Computer Vision

Computer Vision

Core Java

CSS

Data Science

Data Scientist

Data Structures

Deep Learning

Deep Learning

Deep Learning

Django

Django

Django

Django REST Framework

Django REST Framework

Django REST Framework

docker

docker

Docker

Gin

Gin

Git

GitHub

Go (Programming Language)

Go (Programming Language)

golang

golang

Golang

Grafana

HTML

Java

JavaScript

kafka

kafka

Kafka

Kubernetes

kubernetes, Docker, Kafka, REST API, FAST API

kubernetes, Docker, Kafka, REST API, FAST API

Linear Algebra

Linear Algebra

Linux

Microservices

MongoDB

MongoDB

MongoDB

MySQL

Natural Language Processing (NLP)

Neural Networks

NumPy

NumPy

NumPy

Object-Oriented Programming (OOP)

Operating Systems

pandas

PHP

Programming

Prometheus

Python

Python (Programming Language)

Python (Programming Language)

PyTorch

PyTorch

Pytorch

RabbitMQ

reactjs

reactjs

Redis

Redis

Redis

Representational State Transfer (REST)

Research Scientist

REST

REST API

Search

Software Development

Software Engineer

Software Engineering

Spring

SQL

SQL

SQL

storage

teaching

TensorFlow

Vision

Web Design

Web Development

Education

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    2021 - 2023

    university of massachusetts

    Master's degree

    Computer Science

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    2015 - 2019

    maharaja agrasen institute of technology

    Bachelor of Technology - BTech

    Computer Science

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    2007 - 2012

    ramkrishna mission vidyapith deoghar

    CBSE 10th board

    Physics