Hi, I'm Bidhan Devkota
Software Engineer
Computer Science student at the University of Texas at Austin. Passionate about exploring diverse areas of technology, from full-stack development to AI and machine learning.
Work Experience
Software Engineer Intern | Generative AI
AT&T
Developed a Generative AI automation tool using React, Azure, Databricks, and FastAPI, streamlining audit tax request processing by 35%. Presented to CEO and board, leading to company-wide adoption and $25 million in annual cost savings. Engineered a call center solution with Python, Flask, and React with a custom language model for instantaneous transcription, boosting response time by 55% (patent pending).
Software Engineer Intern | Full-Stack
AT&T
Developed an AI Data Usage Optimizer using Flask, Python, and HTML/CSS for proactive data plan adjustments, increasing customer retention by 33% (patent pending). Enhanced TOM application using Angular, Java, SQL, and REST APIs, significantly improving user experience for 2,000 weekly unique users. Implemented a scalable bug-tracking system using JIRA, improving issue resolution time by 30%.
Software Engineer Intern | Data Analytics
Federal Aviation Administration
Created monthly Tableau dashboards to track 30,000+ clearance activities for FAA security teams. Automated FAA document analysis using Python web scraping, identifying over 3,000 instances of exclusive language. Authored a policy recommendation to change the language used in all FAA policies to inclusive language, affecting the agency's 45,000 employees.
Technical Skills
Languages
- •Java
- •Python
- •TypeScript/JavaScript
- •C/C++
- •Kotlin
- •HTML/CSS
- •SQL
Frameworks & Libraries
- •React
- •Angular
- •Node.js
- •Flask/FastAPI
- •TensorFlow
- •pandas/NumPy
Tools & Platforms
- •Git
- •Docker
- •AWS
- •Azure Databricks
- •Kubernetes
- •JIRA
My Projects
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Austin Wheels
A website serving the wheelchair-bound community in the Austin Area, providing information about wheelchair-accessible locations and transportation options in the Greater Austin Area.
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AI Data Optimizer
Machine learning model with front end showing an Internet Usage recommender. Helps users optimize their data usage patterns and suggests better plans.
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Recell
Full Stack website marketplace for people to list, discover and safely dispose of electronics. Features secure transactions, user ratings, and environmental impact tracking.
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March Madness Predictor
Machine learning project that aims to predict the outcome of March Madness matchups using historical data found on Kaggle.
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Amazon Price Tracker
Automation Web Scraper using Python and Selenium that tracks product prices on Amazon and alerts users when prices drop below their target.
Tuner
Takes in audio input from wav files and displays back what note is being played. Built using a custom OS system with real-time audio processing.
Get In Touch
I'm currently a computer science student at UT Austin. Whether you have a question about my work or would like to connect, I'll get back to you as soon as possible!