Aspira Tripathy

Software Engineer

San Francisco, California, United States5 yrs 2 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expertise in full stack development and machine learning.
Research experience in NLP and behavioral psychology.
Proven track record of developing production-ready software.

Stackforce AI infers this person is a Machine Learning and Full Stack Developer with a focus on SaaS and Research.

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Skills

Core Skills

Full Stack DevelopmentAwsSoftware DevelopmentMachine Learning

Other Skills

DebuggingReactNodeJSAmazon Web Services (AWS)Continuous Integration and Continuous Delivery (CI/CD)PythonAWS CloudFormationAmazon DynamodbAWS LambdaAmazon CloudWatchGraphQLReact.jsSpring BootJavaREST APIs

About

Graduated with Masters in Computer Science from the University of Pennsylvania specialising in Machine Learning. Gained research and practical experience in vision centric deep learning through research internships during undergrad. Prior to this, also worked as a Software Engineer gaining knowledge about the architecture and scalability of a software acquiring skills for both frontend and backend development. My current interests lie in the interdisciplinary domain of machine learning and psychology - focusing on human subjects' behavioural research using Natural Language Processing. I am interested in all opportunities that allow me to integrate my machine learning experience to combat societal issues and I believe in contributing towards this field for the greater good. I am actively looking for full time opportunities in the domain of Machine Learning. If you have any opportunities aligning with my goals, I would really love to connect with you! Please drop me an InMail or reach out to me at aspiratr@seas.upenn.edu

Experience

5 yrs 2 mos

Total Experience

1 yr 8 mos

Average Tenure

3 yrs 4 mos

Current Experience

Amazon web services (aws)

2 roles

Software Engineer

Feb 2023 – Present · 3 yrs 4 mos · Seattle, Washington, United States

Full stack: code/design algorithms, infrastructural enhancements, debugging for requirements in team-owned product.
Developing APIs and integrating frameworks like DDB, State machines, Lambdas, etc. using NodeJs, React, Python, typescript.
Delivering production ready code with comprehensive unit/integration testing and documentation, software performance metrics, setting up and maintaining CI/CD pipelines, handling and quick resolution of customer issues as part of on-call tasks.
Set up new packages and introduced pytest unit testing for Glue scripts and large-scale DB systems significantly improving user-experience and product efficacy.

DebuggingReactNodeJSAmazon Web Services (AWS)Continuous Integration and Continuous Delivery (CI/CD)Python+2

Software Engineer Intern

Jun 2022 – Aug 2022 · 2 mos · Seattle, Washington, United States

Worked on full stack project to introduce a new page with analytics within the product owned
Designed and implemented backend and frontend modules based on NodeJS, React and learned about respective unit test frameworks
Introduced GraphQL in the existing framework involving schema design, Lambda integration and DynamoDB integration

AWS CloudFormationAmazon DynamodbAWS LambdaAmazon CloudWatchGraphQLNode.js+3

University of pennsylvania

2 roles

Graduate Research Assistant

Aug 2021 – Dec 2022 · 1 yr 4 mos · Philadelphia, Pennsylvania, United States

Worked on Uncertainty quantification with Dr. Osbert Bastani
Studied different uncertainty measures such as aleatoric and epistemic in a given dataset
Utilized neural ensemble techniques and MC Dropout for dealing with adversarial examples in classification problems
Synthesized a dataset which would help in distinguishing between the two uncertainty measures and decrease confidence of adversarial data points.

Graduate Research Assistant

Mar 2021 – May 2021 · 2 mos · Philadelphia, Pennsylvania, United States

Worked in the cross-section of Psychology and machine learning with Dr. Lyle Ungar in collaboration with Northwestern University
Worked towards predicting depression in individuals by studying the behavioral patterns through text message sentiment analysis over a series of weeks.
Analysed data for correlation coefficients between common psychological measures (EMA, DSM, etc.) and depression.

The hershey company

Research Assistant

May 2021 – Aug 2021 · 3 mos · Philadelphia, Pennsylvania, United States

Used GPT-2 to generate novel recipes in terms of ingredients list given the recipe name
Transfer learned on 4 different variations and did comparative analysis based on main ingredients
Analyzed the latent space captured and the scope of it for this specific task

Mykaarma

Software Developer

Jun 2019 – Dec 2019 · 6 mos · Noida Area, India

Developed ML prototype using Gradient Boosting Regressor for price prediction of used cars with 94% accuracy
Designed and implemented Login/Signup functionality with Google and Facebook authentication
Worked on web scheduler frontend for compatibility across mobile devices (Phones, Tablets) using Bootstrap
Integrated caching and algorithm optimization for the entire system improving the rendering performance by two folds.
Worked on architectural code for integrating JIRA authentication in tickets

Spring BootJavaREST APIsGWTPython (Programming Language)Software Development