Jessie Panesar
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Jessie Panesar Email & Phone Number

AI/ML Research and Engineering Talent for Tech Startups at Goodman Masson
Location: New York, New York, United States 7 work roles 1 school
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Current company
Role
AI/ML Research and Engineering Talent for Tech Startups
Location
New York, New York, United States
Company size

Who is Jessie Panesar? Overview

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Quick answer

Jessie Panesar is listed as AI/ML Research and Engineering Talent for Tech Startups at Goodman Masson, a company with 209 employees, based in New York, New York, United States. AeroLeads shows a matched LinkedIn profile for Jessie Panesar.

Jessie Panesar previously worked as Consultant, Machine Learning Research and Engineering at Goodman Masson and Consultant, Machine Learning Research and Engineering at Trace. Jessie Panesar holds Psychology, Psychology from St Mary’S University, Twickenham.

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Goodman Masson

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Profile bio

About Jessie Panesar

Keen about technology and its future. Advocate for diversity and inclusion in tech.At Goodman Masson, scaling high-bar engineering and AI/ML teams for VC-backed tech startups.Previously at Trace, placing highly specialized AI talent working on novel and scalable machine learning model development across well-funded startups and tech-focused quant/prop trading firms.Interested in all things STEM, startups, social impact, deep learning, finance, and organisational psychology.

Listed skills include Leadership, Screening, Interviewing, Reliability, and 25 others.

Current workplace

Jessie Panesar's current company

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Goodman Masson
Goodman Masson
AI/ML Research and Engineering Talent for Tech Startups
london, london, united kingdom
Employees
209
AeroLeads page
7 roles

Jessie Panesar work experience

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Consultant, Machine Learning Research And Engineering

Current

New York, United States

We support a16z, Sequoia, Redpoint, Accel, YC, Foundation Capital, Quiet Capital, Gradient, General Catalyst and more portfolio companies in scaling their tech talent.Specifically focused on ML(infra), GenAI and deep learning across startups.

Apr 2024 - Present

Consultant, Machine Learning Research And Engineering

New York, United States

Specializations include; generative AI (diffusion models, GANs, transformers, LLMs), natural language (neuro-symbolic, knowledge representation, reasoning, logic), deep RL, time-series, speech recognition.

Jan 2022 - Jan 2024

Associate Consultant

London, England, United Kingdom

Niche machine learning talent for tech startups, hedge funds and prop trading firms.

Jun 2021 - Jan 2022

Researcher

London, England, United Kingdom

Scaling product and tech teams for seed to series B (B Corp) social impact startups.

Oct 2020 - Apr 2021

Operations Intern

London, United Kingdom

Sep 2019 - Dec 2019
Team & coworkers

Colleagues at Goodman Masson

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1 education record

Jessie Panesar education

FAQ

Frequently asked questions about Jessie Panesar

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

What company does Jessie Panesar work for?

Jessie Panesar works for Goodman Masson.

What is Jessie Panesar's role at Goodman Masson?

Jessie Panesar is listed as AI/ML Research and Engineering Talent for Tech Startups at Goodman Masson.

Where is Jessie Panesar based?

Jessie Panesar is based in New York, New York, United States while working with Goodman Masson.

What companies has Jessie Panesar worked for?

Jessie Panesar has worked for Goodman Masson, Trace, Confido Talent, Code First Girls, and 7Billionideas.

Who are Jessie Panesar's colleagues at Goodman Masson?

Jessie Panesar's colleagues at Goodman Masson include Aneta Kawior, Nabil Ahouaou, Amr Elashry, Julia Carr, and Daniel Böhm.

How can I contact Jessie Panesar?

You can use AeroLeads to view verified contact signals for Jessie Panesar at Goodman Masson, including work email, phone, and LinkedIn data when available.

What schools did Jessie Panesar attend?

Jessie Panesar holds Psychology, Psychology from St Mary’S University, Twickenham.

What skills is Jessie Panesar known for?

Jessie Panesar is listed with skills including Leadership, Screening, Interviewing, Reliability, Microsoft Powerpoint, Data Analysis, Candidate Experience, and Sourcing.

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