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Kush Parmar Email & Phone Number

Software Engineer at FocusAE at Focus Automated Equities LLC
Location: New Orleans, Louisiana, United States 14 work roles 1 school
1 work email found @ucsd.edu LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 86%

Contact Signals · 1 work email

Work email k****@ucsd.edu
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Role
Software Engineer at FocusAE
Location
New Orleans, Louisiana, United States

Who is Kush Parmar? Overview

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Quick answer

Kush Parmar is listed as Software Engineer at FocusAE at Focus Automated Equities LLC, based in New Orleans, Louisiana, United States. AeroLeads shows a work email signal at ucsd.edu and a matched LinkedIn profile for Kush Parmar.

Kush Parmar previously worked as Software Engineer at Focus Automated Equities Llc and Machine Learning Consultant at Docpace. Kush Parmar holds Bachelor Of Science (B.S.), Cognitive Science, Spec. Machine Learning, And Neural Networks from Uc San Diego.

Company email context

Email format at Focus Automated Equities LLC

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{first}_{last}@ucsd.edu
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AeroLeads found 1 current-domain work email signal for Kush Parmar. Compare company email patterns before reaching out.

Profile bio

About Kush Parmar

UCSD graduate with a major in Cognitive Science, specialization in Machine Learning and Neural Networks, and a Minor in Computer Science.Feel free to contact me at my email igneel.kush73@gmail.com

Current workplace

Kush Parmar's current company

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Focus Automated Equities LLC
Focus Automated Equities Llc
Software Engineer at FocusAE
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14 roles

Kush Parmar work experience

A career timeline built from the work history available for this profile.

Software Engineer

Current

- Research and develop machine learning models that trade equities over long periods with low risk- Design and maintain a data collection tool for point in time macro market data- Create various internal architecture tooling to analyze live trading performance efficiently- Research and develop multiple one shot scripts to analyze model trading decisions- Research novel day-trading methodologies using Machine Learning and Neural Networks- Technologies used: Python, PHP, Slurm, Pytorch, React, Jenkins

Aug 2022 - Present

Machine Learning Consultant

Metairie, Louisiana, Us

Designed a machine learning based prediction pipeline for outpatient clinic waiting times

Jan 2023 - Jan 2024

Full Stack Developer

Jersey City, Nj, Us

- Designed and developed a back-office real-time reporting and accounting dashboard- Automated the exchange settlement process with selenium reducing manual effort by 80%- Developed and maintained various trading algorithms: ML based Momentum, Market Making, and Cross Exchange Arbitrage- Developed a mean reversion, and breakout algorithm using Kalman filters - Technologies used: Python, React, AWS, SaltStack, Selenium

Dec 2021 - Aug 2022

Full Stack Developer

Fitkinect

- Developed end to end features, and maintained an athletic training social media platform- Implemented on app payments with PayPal integration- Worked on recommender system for better training recommendations, and scheduling options- Technologies used: React, Node.js, Redux, AWS (S3, EC2), MongoDB

Apr 2021 - Dec 2021

Full Stack Developer

- Designed and implemented a Cardano integrated smart contracts platform end to end- Rewrote most of the front end optimizing for extensibility, and better state management- Established development ideologies, and developed documentation for the same on Confluence- Worked with a fully remote team of 5 in a SCRUM environment- Technologies used: React, Node.js, Redux, Google Cloud, MySql, Google OAuth, Figma

Jul 2021 - Sep 2021

Full Stack Engineer

Bengaluru, Karnataka, In

- Implemented Product tours using react-tour to increase user engagement- Wrote responsive HTML emails using foundation for mails and generating weekly reports - Migrated codebase to Modular CSS architecture (SMACSS) reducing merge conflict frequency- Conducted tech talks on CSS architecture, and state management strategies to 15 team members- Utilized generator functions, and redux-saga reducing TTI and superfluous actions-Technologies used: React.js, Redux, Node.js, Express, AWS (S3, SES), MongoDB

Apr 2020 - Oct 2020

Full Stack Engineering Intern

Bengaluru, Karnataka, In

- Developed a MERN B2B product from inception to onboarding 10+ clients in 2 months- Implemented UI components for a Progressive web application in React, and Redux based on Design mockups, and product specifications- Implemented various endpoints for the backend REST API using the Express framework for Node.js- Worked in a fast-paced SCRUM environment with a team of 5, shipping features biweekly- Technologies used: React.js, Redux, Node.js, Express.js, MongoDB, Figma

Jan 2020 - Mar 2020

Frontend Developer

La Jolla, Ca, Us

- Developing a React application to visualise real-time audio recording for Science education- Implemented dynamic time scaling reactive to framerate- Added functionality to select, record, and playback visualised audio- Technologies use: React.js, React Context API, Web Audio API, Tone.js

Nov 2019 - Aug 2020

Instructional Apprentice

La Jolla, Ca, Us

- Tutored for "The Cognitive Consequences of Technology", a class with 300+ students- Led discussion sections, and held weekly office hours- Graded homework, and assisted in formulating exam material

Sep 2019 - Dec 2019

Consultant

San Diego, California, Us

- Member of the Marketing, and Engineering Committee.

Jun 2019 - Jan 2020

Intern

San Diego, California, Us

- Developed a strategy plan, and climate report to include data analytics services in client offerings

Apr 2019 - Jun 2019

Full Stack Developer

Statistical Visual Computing Lab, Ucsd

- Built a web application with the SERN: SQL, Express, React, Node.js stack that processes, and presents phytoplankton image data generated in real-time and classified into genus by a CNN.- Working in a Scrum environment with a team of engineers, and marine biology researchers.- Previously worked on extending legacy code to add an annotation feature to generate training data for the classifier. This was done with a Flask backend and vanilla JavaScript.- Wrote automation scripts in bash, and python to generate training datasets from annotated data- Technologies used: Python, Bash, Flask, Javascript, React, Node.js, SQL

May 2019 - Jan 2020

C++ Tutor

Knowledge

- Taught 12th Grade students C++ concepts including Data Structures, File I/O, SQL, and networking- Focused on highlighting career prospects in Software, and real-world applications- Saw an Improvement of >10% in grades of all students

Jun 2018 - Aug 2018

Volunteer Android Developer

New York, Ny, Us

- Ported an iOS app to Android using the Android SDK.- Developed all the layouts, and the Google Maps API functionality.

Jul 2015 - Sep 2015
1 education record

Kush Parmar education

  • Uc San Diego
    Uc San Diego
    And Neural Networks
FAQ

Frequently asked questions about Kush Parmar

Quick answers generated from the profile data available on this page.

What company does Kush Parmar work for?

Kush Parmar works for Focus Automated Equities LLC.

What is Kush Parmar's role at Focus Automated Equities LLC?

Kush Parmar is listed as Software Engineer at FocusAE at Focus Automated Equities LLC.

What is Kush Parmar's email address?

AeroLeads has found 1 work email signal at @ucsd.edu for Kush Parmar at Focus Automated Equities LLC.

Where is Kush Parmar based?

Kush Parmar is based in New Orleans, Louisiana, United States while working with Focus Automated Equities LLC.

What companies has Kush Parmar worked for?

Kush Parmar has worked for Focus Automated Equities Llc, Docpace, Crosstower, Fitkinect, and Clear Contracts.

How can I contact Kush Parmar?

You can use AeroLeads to view verified contact signals for Kush Parmar at Focus Automated Equities LLC, including work email, phone, and LinkedIn data when available.

What schools did Kush Parmar attend?

Kush Parmar holds Bachelor Of Science (B.S.), Cognitive Science, Spec. Machine Learning, And Neural Networks from Uc San Diego.

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