About me

Hi! I am Teghpreet Singh Mago, a BS/MS student at Georgia Institute of Technology, studying CS + ML, with a strong technical background in software engineering (full-stack/backend), AI/ML research, LLMs, infrastructure development, and cloud engineering.

I interned at LinkedIn as a Software Engineer Intern in Summer 2025 on LinkedIn Recruiter Semantic Search and AI. I interned at Uber in Winter 2025 on Mobility Matching Backend for Uber Reserve and at Capital One in Summer 2024 on Enterprise Platform Technology. I am currently pursuing ML research at GTRI and GT FSIL, along with teaching CS 2340 Software Engineering Design and leading Product @ GT.

I am now seeking 2026 Software Engineering new grad roles. If you are also passionate about tech, impact, coffee, food, travel, and life in general, feel free to reach out at tmago3@gatech.edu!

What I enjoy doing

  • design icon

    Systems and Infrastructure

    Building platform services and networks using Python, Java, Go

  • Web development icon

    Full-stack Development

    Building full-stack websites using HTML/CSS, JavaScript, React.js, Node.js

  • mobile app icon

    Mobile App Developmment

    Developing Android and iOS Mobile apps using Kotlin, Swift, Firebase

  • camera icon

    Machine Learning

    Leveraging LLMs and Generative AI for NLP and CV Applications

What I'm doing lately

  • LinkedIn
    Software Engineer Intern

    Engineered capabilities for LinkedIn Recruiter Semantic Search. Developed an end-to-end data pipeline to align LLM embedding inputs with structured, conflict-resolved resume data using Java-native gRPC services, for improving Semantic Search Explainability models.

  • Uber
    Software Engineer Intern

    Enhanced backend for Uber Reserve by integrating driver preference enforcement logic in Go for 75+ product types, strengthening ML-based Mobility Matching flow. Enabled incremental roll-out, scaling from 29+ cities to globally. Reduced Reserve test trip matching time from 20 minutes to near-instant, by integrating a low-latency gRPC endpoint.

  • Emily evans
    Software Engineer Intern

    Engineered a CI/CD pipeline using AWS Lambda, SNS, Python, Jenkins for GitHub-JIRA synchronization, saving $1M annually. Developed an end-to-end custom JIRA API plugin in Java with 96% test coverage. Collaborated with teams on ML models for real-time insights to predict and recommend services for card holders. Led 6 interns to build EthiCash, a 2nd-place-winning ethical investing app.

  • Henry william
    Machine Learning Researcher

    Developed Generative AI Infrastructure for financial language benchmarks for LLMs. Trained 21 financial datasets, automated uploads to Hugging Face, reducing training time by 20%. Implemented advanced ML inference and prompt optimization methods, improving overall model performance by 67%.

  • Daniel lewis
    CS 2340 Teaching Assistant

    Taught CS courses to 200+ students, mentored 25 students on Android Mobile App Development and 9 software design patterns, improved course averages by 38%, and developed an intelligent tutoring system with categorized practice problems.

  • Jessica miller
    Machine Learning Researcher

    Researched compact LiDAR systems for autonomous vehicle prototypes. Implemented ML algorithms such as A* and Uniform Cost Search in Python, C++ with 30+ unit tests and 90% code coverage. Streamlined ROS1 to ROS2 migration using GitLab, improving processing time by 70%.

What Keeps Me Busy

  • Google

    Google Product Inclusion & Equity Summit Scholar

    Engaged in 20+ discussions at Google, led user-focused Found My Foundation app development

  • Microsoft

    Microsoft AI Skills Teaching Assistant

    Imparted AP Computer Science A curriculum (Java), mentoring 500+ students, expanding diveristy and equity in technical education.

  • Product @ GT

    Director of Community and Outreach, Product @ GT

    Led 4 corporate projects and mock-interview matching Slack bot, increasing engagement by 52%

  • Google Developer Student Clubs

    Technical Lead, Google Developer Student Clubs

    Conducted Google Research workshop for 300+ students and managed 10+ technical workshops

  • Bits of Good

    Engineering Operations Coordinator, Bits of Good

    Managed finance, operations, and recruitment, engineering club's tech systems for 250+ members

  • Stanford

    CS106A Section Leader, Stanford University Code in Place

    Volunteered to teach introductory Python to 35+ students at Stanford's largest open-source initiative

  • HexLabs

    Software Engineer, HexLabs

    Developed full-stack web apps for nationwide hackathons, directed high school STEM programs, and managed 2000+ registrations for HackGT

  • GT SGA

    IT Board Member, GT Student Government Association

    Facilitated ResearchHub app development, optimizing research recruitment and participation by 50%

Resume

Education

  1. Georgia Institute of Technology

    Bachelor of Science, Computer Science

    August 2022 — May 2026

    Concentration: Artificial Intelligence (AI) and Human Computer Interaction (HCI)
    Coursework: Data Structures and Algorithms, Object Oriented Programming, Computer Architecture, Design and Analysis of Algorithms, Artificial Intelligence, Machine Learning, Computer Vision, Deep Learning, Discrete Math, Linear Algebra, Applied Combinatorics

  2. Cornell University

    AI/ML Fellow

    May 2024 — May 2025

    Break Through Tech’s AI/ML Fellowship with Machine Learning Foundations Course (Summer 2024) and ML Crime Prediction Analysis project with ABT Global (Fall 2024 + Spring 2025)

  3. CodePath

    Advanced Software Engineering course

    May 2023 — August 2023

    Leetcoded Linked Lists, Hash tables, Stacks & Queues, Binary Trees, Graphs, Greedy Algorithms, and Dynamic Programming (with Backtracking) everyday of Summer 2023.

Experience

  1. LinkedIn

    Software Engineer Intern

    May 2025 — August 2025

    Engineered capabilities for LinkedIn Recruiter Semantic Search. Developed an end-to-end data pipeline to align LLM embedding inputs with structured, conflict-resolved resume data using Java-native gRPC services, for improving Semantic Search Explainability models.

  2. Uber

    Software Engineer Intern

    Jan 2025 — May 2025

    Enhanced backend for Uber Reserve by integrating driver preference enforcement logic in Go for 75+ product types, strengthening ML-based Mobility Matching flow. Enabled incremental roll-out, scaling from 29+ cities to globally. Reduced Reserve test trip matching time from 20 minutes to near-instant, by integrating a low-latency gRPC endpoint.

  3. Georgia Tech Financial Services Lab

    Undergraduate Machine Learning Researcher

    May 2024 — Jan 2025

    Developed Generative AI Infrastructure for financial language benchmarks for LLMs. Trained 21 financial datasets, automated uploads to Hugging Face, reducing training time by 20%. Implemented advanced ML inference and prompt optimization methods, improving overall model performance by 67%.

  4. Capital One

    Software Engineer Intern

    June 2024 — August 2024

    Engineered a CI/CD pipeline using Python, Java, and AWS for GitHub-JIRA synchronization, saving $1M annually. Developed an end-to-end custom JIRA API plugin in Java with 96% test coverage. Collaborated with teams on ML models for real-time insights to predict and recommend services for card holders.

  5. Georgia Tech College of Computing

    Undergraduate Teaching Assistant

    August 2023 — Dec 2024

    Taught CS courses to 200+ students, mentored 25 students on Android Mobile App Development and 9 software design patterns, improved course averages by 38%, and developed an intelligent tutoring system with categorized practice problems.

  6. Georgia Tech Research Institute

    Undergraduate Machine Learning Researcher

    Jan 2024 — Dec 2024

    Researched compact LiDAR systems for autonomous vehicle prototypes. Implemented ML algorithms such as A* and Uniform Cost Search in Python, C++ with 30+ unit tests and 90% code coverage. Streamlined ROS1 to ROS2 migration using GitLab, improving processing time by 70%.

  7. PwC

    Product Strategy Consulting Extern

    June 2023 — August 2023

    Proposed strategies improving 10 KPIs by 67%, analyzed 80K donation data rows using Tableau and Power BI, and enhanced client satisfaction by 30% for 5 non-profit clients.

  8. HP Tech Ventures

    Product Analyst and Corporate Venture Capital Extern

    Dec 2022 — Feb 2023

    Sourced 5 startup deals, created a pitch deck selected for final presentation, analyzed >50K rows of data using SQL, Tableau, and Python to support investment decisions.

My skills

  • Python (Microsoft Certified)
    95%
  • Java
    90%
  • JavaScript (React.js, Node.js, Express.js)
    80%
  • Go
    60%
  • C/C++
    70%
  • Mobile (Kotlin, Swift)
    75%
  • SQL Databases (MySQL, PostgreSQL)
    80%
  • NoSQL Databases (MongoDB, Firebase)
    70%
  • Data Science (NumPy, Pandas, Scikit-learn)
    90%
  • AI/ML (PyTorch, TensorFlow)
    80%
  • Amazon Web Services
    70%
  • Microsoft Azure
    50%
  • Developer Tools (Jira, Git, Postman, Docker)
    90%

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