AYUSH KUMAR

Software Engineer

Gurugram, Haryana, India4 yrs 7 mos experience

Most Likely To Switch

Key Highlights

Developed low latency trading simulations.
Designed efficient data processing APIs.
Conducted impactful academic mentoring.

Stackforce AI infers this person is a Machine Learning and Software Development specialist with a focus on low-level programming and data science.

Contact

akumar@quadeye.com +917992210628 LinkedIn

Skills

Core Skills

Low Level ProgrammingC++C ProgrammingSoftware DevelopmentMachine LearningData Science

Other Skills

AlgorithmsBias QuantificationCCSVCompetitive ProgrammingComputer ScienceConvolutional Neural Networks (CNN)Data StructuresGZIPLinear AlgebraLogistic RegressionMatplotlibNeural NetworksOpenCVOrdinary Differential Equations

About

A coding enthusiast, and some of my interests include Low Level Programming, architecture, ML(Python), Competitive Programming, Neural Networks.etc

Experience

4 yrs 7 mos

Total Experience

1 yr 4 mos

Average Tenure

3 yrs

Current Experience

Quadeye

2 roles

System Engineer

Jun 2023 – Present · 3 yrs · Gurugram, Haryana, India · On-site

Developed simulations of various trading markets like CME, HKEX, TAIFEX, OKX, BINANCE, etc.
Helped develop various features to enable low latency execution of trades in various markets.

C++PythonLow Level Programming

Systems Intern

May 2022 – Jul 2022 · 2 mos · Gurugram, Haryana, India

Designed CSVReader API & a TUI using ncursesw library to read, filter & edit multiple large files in CSV, ZSTD & GZIP format.
Considerably reduced the loading time of any large file from linear time to a constant time through lazy parsing, with speed advancements in subtring, fuzzy, and regex searching and multi-level row filtering by implementing all low level modules like regex from scratch.
Added support for Unicode text, undo-redo operations, hiding/reordering columns & handled SIGINT to
terminate current search.
Added support for command history to execute previous commands, with option to auto fill commands &
column names.

CncurseswCSVZSTDGZIPC Programming+1

Academics and career council, iit kanpur

Academic Department Mentor - CSE

Sep 2021 – May 2022 · 8 mos

Worked in coordination with the UG Academics wing of the AnC council to make students more prudent about their academics.
Organized regular informal and formal sessions with their assigned mentees to resolve their queries/doubts related to academics, course work, study methodologies, course projects, labs, etc.
Made students cognizant of their curriculum and their departmental template.
Organized departmental sessions to understand templates, courses, or sessions/interactions with department professors.
Developed a more structured and interaction-friendly system where the students tend to become more comfortable reaching out to seniors for any issues related to their departments and the senior batches constituting a more approachable and efficient platform of connection where the point of contact is explicit.

Outreach cell, iit kanpur

Manager

Apr 2021 – May 2022 · 1 yr 1 mo

Part of a 3-tier team working on building student-alumni relations and publicizing achievements of IITK
students
Managed a team of 8 secretaries in various tasks like content creation for #ThatsIITK Quora Blog, creation of
alumni databases and supporting the DoRA office
Conducted various events like Tips From The Top.

Nanyang technological university singapore

Research Internship

Apr 2021 – Feb 2022 · 10 mos

Identified how biases are incorporated in machine learning models and studied potential attacks that disrupt
normal training and prediction of Models.
Used this framework in developing low bias machine learning models that predict age of people.
Created a robust metric for quantifying bias.
Identified & Explored methods to Quantify Racial & Gender Bias in UTKFace dataset consisting of 24K images.

Machine LearningBias QuantificationData Science

Counselling service, iit kanpur

Academic Mentor

Oct 2020 – May 2021 · 7 mos · Kanpur, Uttar Pradesh, India

Organized online orientation programme for freshers.
Part of the organizing team for Orientation programme for the incoming Batch of 2020
Conducted remedial lectures & discussion sessions for 200+ first year students in the courses of
Mathematics-I/II.
Provided personal mentoring to academically underperforming students and helped them overcome difficulties