# Twisha Jain

> Software Engineer @ DoorDash | CS @ Columbia University

Location: New York, New York, United States
Profile: https://flows.cv/twishajain

I'm a passionate software engineer who loves solving complex problems and creating value with technology. I am a quick learner, a problem solver, and a collaborator, who strives to deliver high-quality results and exceed expectations. Always eager to pursue new and challenging opportunities to enhance my skills and make a positive impact in the software development and machine learning domains.

## Work Experience
### Software Engineer @ DoorDash
Jan 2024 – Present | New York City Metropolitan Area

### Software Engineer @ EliseAI
Jan 2023 – Jan 2024 | New York City Metropolitan Area

### Artificial Intelligence Machine Learning Engineer Intern @ LinkedIn
Jan 2022 – Jan 2022 | Sunnyvale, California, United States

### Course Assistant for COMS 4111 Introduction to Databases @ Columbia University in the City of New York
Jan 2022 – Jan 2022 | New York, New York, United States
Course Assistant under Prof. Eugene Wu.

### Software Development Engineer Intern @ Western Digital
Jan 2021 – Jan 2021 | Bengaluru, Karnataka, India
•  Engineered customizable APIs in Express.js to generate on-demand test reports using Embedded JavaScript templates. Improved user experience by allowing firmware engineers to generate desired reports on a single click.
•  Created a cron job in NodeJS to schedule and send test reports over email and remind engineers to address issues assigned over 24 hours ago. Improved issue resolution time by over 70%.
•  Conceptualized and built a React based binary file editor to allow rapid editing of binary files needed to test hardware, thus increasing user productivity by 80%. Presented working model to senior management.

### Machine Learning Engineer Intern @ R Systems
Jan 2019 – Jan 2019
•  Led a team of 3 software engineers to curate a dataset of invoice documents, formulate different sets of features in Python, and accelerate feature engineering process by applying logistic regression and analyzing results.
•  Automated invoice processing by recognizing and extracting table from pdf documents of invoices, receipts and billing orders using logistic model. Achieved a maximum accuracy of 90.2% and reduced manual effort by 75%.
•  Mentored 2 team members to optimize algorithms for feature extraction.

### Software Development Engineer Intern @ Tata Consultancy Services
Jan 2018 – Jan 2018
•  Designed and developed an intelligent patient facing chatbot for appointment booking and cancellation thereby reducing wait time for patients at a doctor’s clinic by over 70%.
•  Implemented Natural Language Processing (NLP) based cognitive capabilities leveraging Microsoft’s LUIS, SQL Server and Microsoft Bot Framework.
•  Proposed and built an additional feature of symptom-based diagnosis to improve effectiveness of bot.
•  Constructed a dialog flow to adapt chat based on a patient’s responses. Hosted chatbot on Microsoft Azure and deployed it on Skype mobile app.


## Education
### Master of Science - MS in Computer Science
Columbia University
Jan 2021 – Jan 2022

### Bachelor of Technology - BTech in Information Technology
Manipal Institute of Technology
Jan 2017 – Jan 2021


## Contact & Social
- LinkedIn: https://linkedin.com/in/twishajain

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Source: https://flows.cv/twishajain
JSON Resume: https://flows.cv/twishajain/resume.json
Last updated: 2026-04-01