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Click here or scroll down to respond to this candidateCandidate's Name
LINKEDIN LINK AVAILABLE
SOFTWARE ENGINEER
Experienced software engineer with 5 years experience in full-stack
web development and data analytics. Hold bachelors in engineering
physics with focus in mechanical engineering, from The Ohio State
University. Recently completed masters program at UCLA in data
science and machine learning. Certifications in machine-learning and
data science. Experience with data acquisition, working with
microcontrollers, and with thermodynamic principles in the heating
and cooling industry. Experience in MATLAB, Mathematica, and LabVIEW.
Languages used include Python, C++ and Java.
TECHNICAL SKILLS
Languages: MATLAB, Java, HTML, JavaScript, TypeScript, Angular,
HTML, CSS, BASH, Python, XML, JSON, C++, YAML, LaTeX, markdown
DevOps: Ansible, git, Jenkins, AWS, Apache Airflow, Gitlab, Docker
Data Science: NeMo, TensorFlow, BERT, scikit-learn, matplotlib,
plotly, OpenCV, Pandas, numpy, PyTorch, Transformer, LSTM, NLP, LLM,
Deep Learning
Databases: SQL, Oracle SQL, AWS RDS, PostgreSQL, PostGres, MongoDB
Web Applications: Spring, SpringBoot, Hibernate, REST, Django, flask
PROFESSIONAL EXPERIENCE
ARTECH/GOOGLE - Mountain View, CA * May 2022 to April 2023
SOFTWARE ENGINEER III | Project: Robotics Perception/Calibration
Developed Jupyter notebook with Python to help calibrate extrinsics
for Bi-Arm Kuka workcells. Developed Jupyter notebook with Python for
filtering out images in video based on measuring the blur with FFT
and Laplacian computations from fiducial contours. Refactored the C++
code to run cameras to output these metrics into the logs. Debugged
four-camera feed that was able to stream only two using proprietary
XIMEA camera APIs in C++. Developed pipeline to measure the accuracy
of motion capturing system using Python API calls to store
calibration tool coordinates at various time steps. These coordinates
were then fed into a Jupyter notebook to create graphs. Wrote
documentation for above projects in markdown and LaTeX.
GENENTECH/HARVEY NASH - South San Francisco, CA
May 2021 to March 2022
PYTHON DEVELOPER | Project: Migrate Data Processing Pipelines from
Perl to Python
Designed CICD pipeline with Gitlab Runner and best practices for
team on code reviews and commits. Created tasks in python that run on
Cromwell platform for analyzing genetic sequencing data. Also helped
with developing scripts to process through data for another project
PENNYMAC - Los Angeles, CA * March 2021 to April 2021
Python Developer | Project: Middleware Integrations
Collaborated on a two-person team working on creating middleware
integrations between a variety of software vendors like SalesForce
and PeopleDoc. The integrations were implemented in Python and
deployed on AWS. I worked on two integrations: first between
PeopleDoc and a platform built on top of SalesForce; then between
PeopleDoc and an internal SFTP server. Collaborated to design the
integrations with LucidChart and presented it to the rest of the team
in the department for peer-review on best practices.
EPLUS - Milpitas, CA * September 2019 to January 2021
MACHINE LEARNING ENGINEER/PYTHON DEVELOPER
(November 2019 - January 2021)
Project: Electronic Medical Record Machine Learning Appliance
With the Data Science team, I collaborated on developing an AI-in-a-
box appliance that is intended to be sold to smaller medical centers
and rural hospitals. Transferred over the Jupyter notebooks created
by the Data Science team to create python callables that can be used
for tasks in an Airflow pipeline. Stood up an instance of the MIMIC
Database in PostGres with 30 days of records of admissions from an ER
department of a hospital. Created a Flask application connected to
this MIMIC instance to simulate an EMR system like Epic or CERNER in
an actual hospital. Collaborated with business partner NVIDIA to
leverage NeMo and BERT to transfer learn for named entity
recognition. This is used to extract features from the notes text.
MAIN INDIVIDUAL CONTRIBUTING ENGINEER (September 2019 December 2019)
Project: Deploy AWX for Florida Power and Lighting
Set up two instances of AWX in two separate locations on FPLs
network for automating processes to the other servers on the network.
Uses PostGres as the database to store the data for the instances.
Set up test Ansible playbooks to execute Ansible tasks on a variety
of Windows, Linux, and Unix machines. Created dynamic inventories
with Python scripts using API calls to their Asset Management system.
Created a failover procedure between one instance and the other
instance.
NON-PROFIT ORGANIZATION * March 2019 to August 2019
PYTHON DEVELOPER | Project: Web Application
Full-Stack Web Application written in Python with Django Framework
Made a full web application that kept count and contact information
of people who would like to participate in an event held by the
organization. Made validated forms and added them to Django views and
templates that then persisted into a PostgreSQL database with Django
models. Leveraged twitter API to give workers the opportunity to
share why they would like to participate in the action to an
anonymous twitter account. Utilized MailGun to send out verification
emails to workers to ensure they were legitimate participants. Used
git and GitHub for making code modifications and peer-review.
Deployed on Amazon Web Services with Elastic Beanstalk and RDS.
Registered a DNS to connect to Amazon Web Services along with
MailGun. Consulted with labor law experts to draft up disclaimers and
legal protections.
APPLE/INFOSYS Sunnyvale, CA & Mountain View, CA
February 2018 to February 2019
JAVA DEVELOPER | Project: Retail Store Planogram Layout, Back-End
Web Services
Developed RESTful web services and modified existing RESTful web
services with Oracle SQL as the database and Java with Spring
Framework as middle-tier.
REVATURE - Tampa, FL * November 2017 to February 2018
CONSULTANT/TRAINEE | Project: Caliber Trainee Assessment Tool
(January 2018 February 2018)
Helped migrate performance management suite named Caliber from
JavaScript with jQuery into an Angular 4 application.
DEVELOPER / TRAINEE | Project: Simploy Job Seeker Application
(December 2017 January 2018)
Helped develop a web application named Simploy for helping job
seekers and employers to connect.
DEVELOPER / TRAINEE | Project: Expense Reimbursement System
(November 2017 December 2017)
Developed Expense Reimbursement System (ERS) as web application that
manages process of reimbursing employees for expenses incurred while
on company time.
EMERSON CLIMATE TECHNOLOGIES - Sidney, OH * May 2016 to August 2016
Project: Binary Fluids Refrigeration Tests
Project: PLC with Industrial Valve
Project: Simulated Evaporator
EDUCATION | PROFESSIONAL DEVELOPMENT
Master of Science in Engineering, Data Science 2024
UCLA Los Angeles, CA
Bachelor of Science in Engineering Physics 2017
The Ohio State University Columbus, OH
TRAINING, CERTIFICATIONS & AFFILIATIONS
* DeepLearning.AI TensorFlow Developer by DeepLearning.AI on
Coursera. Certificate earned on July 5, 2020
* Deep Learning, a 5-course specialization by Deeplearning.AI on
Coursera. Certificate earned on July 26, 2019
* IBM Data Science Professional Certificate, a 9-course
specialization by IBM on Coursera. Specialization Certificate earned
on January 22, 2019
MORE INFORMATION:
https://www.youracclaim.com/badges/cfa5a5b4-a218-484f-a82f-
cd6c8d97665f
* Machine Learning by Stanford University on Coursera. Certificate
earned at Saturday, November 17, 2018
https://www.coursera.org/account/accomplishments/certificate/PV3EEQM7
ARHF
* Certified LabVIEW Associate Developer from National Instruments,
License 100-316-11955
Keywords:
Software Engineer, Machine Learning Engineer, Data Engineer |
