Product • Engineering

About Me

Personal background, skills, and professional journey.

Harshdeep Kaur

Hi! I’m Harshdeep. I get excited about turning ideas into things people can actually use — from the first sketch all the way to something real in people’s hands. I love figuring out how a product should work, building the tech that powers it, and stepping into the user’s shoes to shape how it feels. At the end of the day, I’m happiest when I’m creating something useful, intuitive, and impactful.

Education & Skills

Carnegie Mellon University — B.S. Statistics & ML (’26). Minors: Innovation & Entrepreneurship, CS. Dean’s List with Honors.

Coursework: DSA, PhD ML, Systems, Parallel/Sequential Algorithms, Probability, Modern Regression, Statistical Computing, Methods for DS.

Tech: Python, Java, C/C++, Golang, R, SQL, React; TensorFlow, PyTorch; AWS, GCP; MongoDB; Tableau.

Work Experience

What I’ve shipped and where I’ve learned the most.

Salesforce

Software Engineering Intern — Salesforce

Alibaba Security Engineering • Boston, MA • May–Aug 2025

  • • Developed JMH-based benchmarking APIs to evaluate SDK performance across AWS, GCP, and Alibaba Cloud.
  • • Worked on a cloud-agnostic storage abstraction (Multi-Substrate SDK) to reduce provider-specific complexity.
JavaJMHAWS/GCP/AliyunCloud Infra
RUCKUS Networks

Product Management Intern — RUCKUS Networks

Sunnyvale, CA • May–Aug 2024

  • • Proposed ML-driven ICX→AP power allocation; increased switch port utilization from ~33% to near full capacity.
  • • Led cross-functional delivery from requirements to solution; effort resulted in a patent application.
NetworkingMLProduct Spec
Georgia Tech

ML Researcher — Georgia Tech

Atlanta, GA • Jun–Oct 2021

  • • Built CNN for disease classification (TensorFlow, Scikit-learn); 77% accuracy on test set.
  • • Published research on multi-classification challenges and usability trade-offs.
TensorFlowScikit-learnResearch
iStart Valley

Team Lead — iStart Valley (AI & ML Innovation)

San Ramon, CA • Jan–Aug 2022

  • • Led 20 researchers to design a water-cleansing robot; evaluated classifiers (KNN, Random Forest).
  • • Presented at iStart Valley Digital Conference; won 1st place.
RoboticsKNNRandom Forest

Projects

Hands-on builds, prototypes, and research-driven work.

AI

Marco.ai

Travel Recommendation chatbot. 36-hour MVP using Groq + GPT-4o. Realtime recs from preferences & geolocation.

LLMRecommenderHackathon
Watch video!
Data Apps

TradeLens

Interactive console for prices/volume/volatility. Flask + REST, viz in Tableau, Lambda glue.

FlaskRESTFinance
Systems

Dynamic Memory Allocator

Explicit & segregated lists; first/best-fit; utilization improved by removing footers.

CLow LevelSystems
Research

CNN for Disease Classification

TensorFlow + Scikit-learn pipeline; 77% test accuracy; paper on multi-class trade-offs.

TensorFlowScikit-learnCNN
View research paper
Research

Multi-Style Transfer via Gram Matrices

Averaged Gram losses across styles; cosine similarity on 27 style embeddings; 1000 epochs.

PyTorchNSTEmbeddings
View research paper
Observability

AP Log Visualization Dashboard

Full-stack tool to track & visualize Wi-fi access point logs for debugging (MongoDB + Flask + Matplotlib).

MongoDBFlaskMatplotlib
Research

Tech M&A Insights

Analyzed top 50 tech M&A deals with statistical visualizations & analytical techniques, uncovering insights into acquisition desirability, funding impact, and acquisition behavior.

RStatisticsM&A
View research paper
Game Theory Project
[details & link coming soon]

Leadership & Activities

Teams, responsibilities, and impact beyond coursework.

Captain, CMU Bhangra

Carnegie Mellon University

Current

Led a 40-member competitive team; set end-to-end vision for choreography and performances; coordinated practices, logistics, events; secured top competition placements.

  • • Choreo direction, training plans, and comp logistics
  • • Recruitment, performance quality, and event coordination

Founder, Elevate Learning

San Ramon, CA

2020-2023

Built and ran a tutoring service for 20+ students (math, statistics, CS); created lesson plans, managed operations, and mentored on college applications.

  • • Curriculum design and 1:1 mentorship
  • • Scheduling, ops, and outcomes tracking

Get in touch

LinkedIn
/in/harshdeep-k/