Samarth Aggarwal

Software Engineer Product Manager Data Scientist

Engineer with a knack for Web development, cloud technologies, ML, NLP, app development, and SEO optimization.

adclj3@r.postjobfree.com

858-***-****

San Diego, CA

linkedin.com/in/sam1998

WORK EXPERIENCE

08/2018 – 08/2020

Technical Product Manager

paq LLC

San Diego, CA

Making sleep studies accessible by creating a take home sleet test that would be a substitute to a traditional polysomnography test.

Developed HIPAA Compliant cloud platform and analytics dashboard (enterprise software). Technologies - Python, C, WatchOS, iOS, Java, Cotlin, CSS, HTML, Node.js, React Native, RoR.

Developed an iOS application (in Swift and C) to allow users to connect to a peripheral device (containing a Nordic MCU) via BLE to set alarms and timers. Lead a team of 4 engineers into understanding biometric data analysis, cloud clusters, web development,sleep graphs and monitoring physiology through sensor data collection (C, Assembly), processing (Python) and analytics dashboard (Python, Django, RoR).

06/2019 – 09/2019

Software Engineering Intern

Solvvy Inc. (True Ventures Program)

San Mateo, CA

Developed new infrastructure components to keep up with growing list of customers and product features (GCP, Python, Kubernetes, Docker, Openstack). Developed internal testing tool for automated testing of conversational backends

(Google Kubernetes Engine).

Internal Testing tool helped the SWE team to test changes in knowledge base and algorithms locally without straining the production GCP. Maintained infrastructure code (Pulumi).

Took control of the iOS and Android app development (migrating the apps to iOS 13) which were critical for a $250k annual customer subscription. (Swift 3.x, Swift 4.x, Objective-C, x86_64 architecture).

Developed test protocols for internal SWE team to run rigorous tests on mobile SDKs before sending out the SDKs for customer trials (Scripts). Converted mobile native SDKs to web apps to maintain consistency with the product experience; both on browser and mobiles (CSS, HTML, JS, Java, Cotlin, Swift, Objective-C). 06/2018 – 06/2019

Software Engineering Intern (1 year)

Volvo Cars R&D

Sunnyvale, CA

Worked on the Volvo future software team in primarily vanilla Javascript, JAVA and Python to plan, design and develop the full stack implementation of a new framework to test emotion induced changes in the car cabin. Project resulted in R&D team confirming the possibility of emotion - based control and endorsing the technical stack.

Implemented a probabilistic approach based on Bayesian learning to better estimate HRV, RSP from PPG signal recorded by wearable devices and enhance the performance of the automatic multi scale-based peak detection (AMPD) algorithm used for peak detection. This increased the efficiency by 32%. Developed a neural network to implement a prediction model for valence and arousal at discrete instances of time. Predictions were 71% accurate. TECHNICAL SKILLS

Professional Proficiency

Python, JAVA, CSS, HTML, JavaScript

Working Proficiency

Ruby on Rails, iOS (Swift), Android (Kotlin), MySQL, Interactive Design.

Core Classes

Object Oriented Programming, Data Structure,

Algorithms, Discrete Mathematics, Design Theory,

Mathematical Reasoning, Probability, Statistics

EDUCATION

08/2016 – 08/2020

B.S. Cognitive Science w/ spec in

Computation

University of California, San Diego

08/2017 – 08/2020

B.S. Statistics and Probability

University of California, San Diego

RESEARCH

Swartz Center - Computational Neuroscience

(08/2018 – 02/2019)

Worked with Prof. TP Jung to create a machine learning time-synchronized pipeline that identifies people moods

(emotions) during an activity and predict the ideal moods to increase efficiency.

Robotics Contextual Institute

(06/2018 – 06/2019)

Worked with Prof. Jack Silberman to create autonomous algorithms using LiDAR sensors and conducting user research.

Human Centered & Ubiquitous Computing Lab

(08/2017 – 09/2019)

Worked with Prof. Nadir Weibel to create an HIV

monitoring platform PIRCNET. We developed an

algorithm that estimates the geo-direction of HIV

transmission using social behavior analysis (Twitter tweets)

PUBLICATIONS

Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems

CHI 2019: Human Factors in Computing

Systems - Affordable Smart Wheelchair

Author(s)

Isabella Gomez Torres, Gaurav Parmar, Samarth

Aggarwal, Nathaniel Mansur, Alec Guthrie

18/4/2019

ACM - SRC07

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