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Ahsan Barkati

I’m a distributed systems engineer with over 5+ experience building scalable and high-performance backend solutions. At Dgraph Labs, I work on optimizing key-value stores, improving concurrency, and ensuring system resilience. I enjoy tackling complex engineering challenges and turning them into clean, efficient solutions.

  • Role

    Distributed Systems Engineer

  • Years of Experience

    5 years

Skillsets

  • Algorithms
  • Bash
  • C/C++
  • Cryptology
  • Data Structures
  • Database Systems
  • Golang
  • JavaScript
  • LaTeX
  • Machine Learning
  • Natural Language Processing
  • Python
  • ReactJs
  • SQL

Professional Summary

5Years
  • Jun, 2020 - Present5 yr 4 months

    Distributed Systems Engineer

    Dgraph Labs
  • May, 2019 - Jul, 2019 2 months

    Quantitative Analyst Intern

    HSBC
  • Jan, 2019 - Jan, 20201 yr

    Developer

    FreeBSD (Google Summer of Code)
  • May, 2018 - Jul, 2018 2 months

    Developer

    New York Office, IIT Kanpur

Applications & Tools Known

  • icon-tool

    C++

  • icon-tool

    Python

  • icon-tool

    Javascript

  • icon-tool

    LaTex

  • icon-tool

    ReactJS

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    Distributed Systems

Work History

5Years

Distributed Systems Engineer

Dgraph Labs
Jun, 2020 - Present5 yr 4 months
    Working on Badger, a highly concurrent and persistent key-value store. Identified memory leaks by investigating Go heap profiles. Studied concurrent and distributed paradigms of dgraph database.

Quantitative Analyst Intern

HSBC
May, 2019 - Jul, 2019 2 months
    Developed a Python library to price exotic financial products. Implemented concurrent Monte-Carlo simulations for price estimation. Developed modules for visualising analytical results.

Developer

FreeBSD (Google Summer of Code)
Jan, 2019 - Jan, 20201 yr
    Developed a framework for regression testing of multiple firewalls. Wrote unit tests for firewalls and developed a library to manage routes.

Developer

New York Office, IIT Kanpur
May, 2018 - Jul, 2018 2 months
    Developed an online recommendation engine for millions of users. Implemented fast Matrix-Factorization and LSTM models for classification and toxic comment detection.

Major Projects

4Projects

Graph Representation Learning

Jan, 2020 - May, 2020 4 months
    Implemented graph embedding methods like GraphSAGE and Node2Vec for node clustering and link prediction. Compared algorithms in terms of accuracy and speed.

Affective Text Generation

Jan, 2020 - May, 2020 4 months
    Developed an affective text generation model with Prof. Ashutosh Modi. Submitted a paper to EMNLP 2020 conference.

IoT Management System

Jan, 2019 - Apr, 2019 3 months
    Built an IoT management app using MEAN stack and a GoLang IoT data simulator. Utilized MongoDB for location updates and effective distance.

RTE Remote Research

May, 2018 - Aug, 2018 3 months
    Generated benchmark inputs for an improved algorithm for closest pair of points in 2D with Prof. Ovidiu Daescu.

Education

  • B.Tech in Aerospace, Minor in Computer Systems

    IIT Kanpur

  • Senior Secondary School

    Munam Public School