Parth Baokar
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Parth Baokar Email & Phone Number

Engineering at Applied Intuition at Applied Intuition
Location: San Francisco Bay Area, United States, United States 12 work roles 3 schools
1 work email found @berkeley.edu LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

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Work email p****@berkeley.edu
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Current company
Role
Engineering at Applied Intuition
Location
San Francisco Bay Area, United States, United States
Company size

Who is Parth Baokar? Overview

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Quick answer

Parth Baokar is listed as Engineering at Applied Intuition at Applied Intuition, a company with 9 employees, based in San Francisco Bay Area, United States, United States. AeroLeads shows a work email signal at berkeley.edu and a matched LinkedIn profile for Parth Baokar.

Parth Baokar previously worked as Graduate Student Instructor for Principles and Techniques of Data Science at University Of California, Berkeley and Graduate Student Researcher at Ioannidis Lab at University Of California, Berkeley. Parth Baokar holds Master Of Science - Ms, Electrical Engineering And Computer Science from University Of California, Berkeley.

Company email context

Email format at Applied Intuition

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{first}{last}@berkeley.edu
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AeroLeads found 1 current-domain work email signal for Parth Baokar. Compare company email patterns before reaching out.

Profile bio

About Parth Baokar

I am pursuing a 5 Year MS degree in EECS, with research specializing in creating sequence models for predicting genetic expression. I fell in love with software engineering after taking a couple of classes, and I'm really excited about combining my knowledge in bioengineering and computer science to create a user-friendly and impactful product.

Listed skills include Leadership, Research, Event Planning, Public Speaking, and 14 others.

Current workplace

Parth Baokar's current company

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Applied Intuition
Applied Intuition
Engineering at Applied Intuition
sunnyvale, california, united states
Employees
9
AeroLeads page
12 roles

Parth Baokar work experience

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

Graduate Student Instructor For Principles And Techniques Of Data Science

- Led weekly discussions teaching students data modelling concepts such as regression, random forests, gradient descent and the math behind them- Managed and mentored a team of student instructors to help them become more effective teachers- Taught students to analyze data to build ML models and visualizations using Pandas, sklearn, Seaborn, Pytorch.

Jan 2020 - Sep 2022

Graduate Student Researcher At Ioannidis Lab

San Francisco Bay Area

- Improved CNN models for predicting gene expression level and phenotypic associations from DNA sequences- Rebuilt old R models in Pytorch and Tensorflow to be more extensible- Presented newly published gene expression prediction research in weekly journal clubs to the lab

Sep 2019 - Sep 2022

Lab Assistant For Information Devices And System Design

- Assisted in design and testing of lab software for Launchpads, touchscreens, and simulated acoustic positioning- Hosted homework parties/office hours to teach students linear algebra and circuit design- Debugged student programs (Python) and discrete circuits using oscilloscopes and function generators - Tested understanding of lab concepts including.

Jan 2019 - Jan 2020

Undergraduate Researcher At Marriott Lab

San Francisco Bay Area

- Co-led project to facilitate retinal drug delivery through biodegradable and nontoxic hydrogels- Contributor in developing medically safe contact lens capable of controlled drug delivery for glaucoma - Read and present new biophotonics research biweekly to the lab

Jan 2018 - Feb 2019

Software Development Engineer Intern

- Built the first interactive data transformation widget for AWS Honeycode, requested by 1000s of customers- Revised product specifications and redesigned UX for other teams’ features based on our technical and design challenges- Implemented client‑side optimizations to enable real‑time updates reacting to user actions within the widget

Jun 2021 - Aug 2021

Software Development Engineer Intern

Seattle, Washington, United States

- Contributed to the launch for AWS Honeycode, a no-code app development solution using cloud resources- Designed and built analytics platform for collecting workflow automation metrics within AWS Honeycode- Expanded ETL pipeline to stream new class of automation analytics using AWS Glue

May 2020 - Aug 2020

Treasurer

San Francisco Bay Area

- Manage and budget club funds to allow for events that benefit incoming and current undergraduate bioengineering students

Apr 2019 - May 2020

Academic Co-Chair

San Francisco Bay Area

- Direct 26 undergrad and grad students to plan and develop events to help prepare other students for academic success at Berkeley and decide their future academic path- Serve as liaison between undergraduate and graduate student populations, collaborating to facilitate interpersonal relationships and form a cohesive community- Created and manage.

Apr 2018 - May 2019

Software Engineer Intern

Oakland, CA

- Built Roofstock's first microservice, which used gRPC and JWT authentication to sync client data with back office- Implemented GraphQL layer on top of gRPC, which was used as a template for new microservices- Built feature allowing customers to see their property search history- Refactored UI components for signup and login flow to use React hooks.

May 2019 - Aug 2019

Student Software Developer/Researcher

Research Mentorship Program

Santa Barbara, California Area

- Developed application and algorithm to score and evaluate performance on paper tests and physical navigational tasks - Conducted 15+ human trials for psychological study analyzing ability to navigate indoor spaces and reproduce them on paper- Accuracy-tested a custom Bluetooth-based navigation system

Jun 2016 - Aug 2016

Student Instructor

Mightyfist Taekwondo

Cupertino, CA

- Led 3 classes per day of students from age 5 - 50, co-taught other 5 classes per day with other instructors

Jun 2015 - Aug 2015
Team & coworkers

Colleagues at Applied Intuition

Other employees you can reach at appliedintuition.com. View company contacts for 9 employees →

3 education records

Parth Baokar education

Master Of Science - Ms, Electrical Engineering And Computer Science

Activities and Societies: Specializing in ML/AI with research in sequence models for predicting gene expression

Education record

Dougherty Valley High School

Activities and Societies: California Scholarship Federation, Project smARTs, Volleyball, Indian Classical MusicGPA: 4.00

FAQ

Frequently asked questions about Parth Baokar

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

What company does Parth Baokar work for?

Parth Baokar works for Applied Intuition.

What is Parth Baokar's role at Applied Intuition?

Parth Baokar is listed as Engineering at Applied Intuition at Applied Intuition.

What is Parth Baokar's email address?

AeroLeads has found 1 work email signal at @berkeley.edu for Parth Baokar at Applied Intuition.

Where is Parth Baokar based?

Parth Baokar is based in San Francisco Bay Area, United States, United States while working with Applied Intuition.

What companies has Parth Baokar worked for?

Parth Baokar has worked for Applied Intuition, University Of California, Berkeley, Amazon Web Services (Aws), Biomedical Engineering Society, and Roofstock.

Who are Parth Baokar's colleagues at Applied Intuition?

Parth Baokar's colleagues at Applied Intuition include Steven Wolf, Angela Li, Eric Higgins, Michael Schone, and John L..

How can I contact Parth Baokar?

You can use AeroLeads to view verified contact signals for Parth Baokar at Applied Intuition, including work email, phone, and LinkedIn data when available.

What schools did Parth Baokar attend?

Parth Baokar holds Master Of Science - Ms, Electrical Engineering And Computer Science from University Of California, Berkeley.

What skills is Parth Baokar known for?

Parth Baokar is listed with skills including Leadership, Research, Event Planning, Public Speaking, Taekwondo, Python, Grpc, and Graphql.

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