About me

Hi, I’m a Software Engineer based in Bangalore, India, working in Software Infrastructure and Site Reliability.

At LinkedIn, I’ve been fortunate to gain hands-on experience with the Edge Network Infrastructure that powers large-scale, internet-facing platforms. My work involves building and automating systems around technologies like Domain Name Systems (DNS), Content Delivery Networks (CDNs) and Edge-Proxies (Cloudflare, Azure Front Door, etc.).

I’m especially passionate about intelligent automation. I enjoy spotting patterns in repetitive tasks and finding ways to automate them—because I believe those tasks are better handled by machines. In the SRE and DevOps space, I see a lot of potential for AI to reduce operational load and support engineers during incident response and triaging.

At LinkedIn's Edge Infrastructure team, I built an automation system that can dynamically orchestrate Edge infrastructure based on performance metrics. I also developed a pipeline that performs automated Root-Cause Analysis for Azure Front Door-related availability incidents.

During my internship with LinkedIn's Capacity Engineering team, I designed an AI-based pipeline that used statistical heuristics and graph search to identify top root causes of anomalies during site load testing.

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Resume

Experience

  1. Senior Engineer, Site Reliability

    Oct 2023 - Present Bengaluru, India
    • Senior Individual Contributor in the Edge Performance and Engineering team at LinkedIn

  2. Site Reliability Engineer

    July 2021 - Sept 2023 Bengaluru, India
    • Working with the Edge Infrastructure team, responsible for managing LinkedIn's Edge Network which involves services like DNS, CDNs, Azure Front Door, TLS certificates and related tools.
    • Developed an AI-based tool capable of intelligently orchestrating the Edge (AFD, PoPs, CDNs) on the DNS layer for optimal end-user availability. This completely automated the mundane task of manual fail-overs, cutting down on several man hours.
    • Worked on migrating site-traffic from LinkedIn's legacy Edge on to Azure Front Door. Responsible for setting up Azure Front Door and DNS ramp for the migration.
    • Worked closely with Microsoft Azure counterparts to help them recognize and solve ongoing issues with their AFD platform as it pertains to LinkedIn. Worked on devising a Proof of Concept for performing Automated Root Cause Analysis of such issues.
    • Introduced manifold improvements to LinkedIn's url short-link feature - lnkd.in - by aligning stakeholders to remove extra redirect and by onboarding it to AFD with Caching at the Edge.

  3. Site Reliability Engineering Intern

    May 2020 - July 2020 Bengaluru, India (Remote)
    • Worked with the Capacity Engineering team to devise an AI pipeline for diagnosing site performance issues and detecting capacity bottlenecks in Linkedin's RESTful service oriented infrastructure.

Education

  1. Netaji Subhas Institute of Technology

    August 2017 — June 2021
    • Univeristy of Delhi
    • Bachelor of Engineeering in Computer Engineering
    • CGPA: 8.65/10

  2. Central Board of Secondary Education

    2016 — 2017
    • Class 12th
    • Score: 97.0%

  3. Central Board of Secondary Education

    2014 — 2015
    • Class 10th
    • CGPA: 10.0/10

Skills

Programming

  • Python
    90%
  • Java
    70%
  • C/C++
    60%
  • Golang
    50%
  • JavaScript
    60%
  • Data Structures and Algorithms
    80%

Computer Networks

  • Domain Name System (DNS)
    80%
  • Content Delivery Networks (CDNs)
    80%
  • Distrbuted Networks
    60%
  • TCP/IP
    70%
  • Microsoft Azure
    65%

Internet Technologies

  • Python-Flask Framework
    85%
  • REST-APIs
    70%
  • Spring-Boot
    50%
  • HTTP/HTTPS
    70%

Datastores

  • MySQL
    65%
  • Azure Blob Storage
    50%
  • Firebase
    60%
  • RabbitMQ
    50%

Tools

  • Linux
    70%
  • Docker
    50%
  • Git/Github
    60%

Aritficial Intelligence

  • Machine Learning
    70%
  • Deep Learning
    80%
  • Natural Language Processing
    60%
  • Computer Vision
    65%
  • Tensorflow
    65%
  • Keras
    75%
  • Scikit-Learn
    75%
  • Mathematical Modelling
    70%

Posts