MS Computer Science @ UW-Madison

Hi, I'm Diksha I build scalable systems & solve complex problems

Software Engineer specializing in Distributed Computing, Databases, Machine Learning & Parallel Processing

2.5+ yrs Experience
$2.2B Impact
600+ Students
View Work Resume
Diksha Menghmalani

About Me

I'm a Computer Science grad student at UW-Madison (GPA: 3.82), passionate about building systems that scale and ML that actually works.

With 2.5 years at ZS Associates, I led teams building ML pipelines and data systems that drove real business impact. At Zscaler, I optimized network infrastructure that saved thousands of engineering hours.

Currently, I'm a TA for Big Data Systems, teaching 600+ students about distributed computing while diving deep into databases, parallel processing, and ML research.

Let's Connect

Education

MS in Data Engineering
UW-Madison

GPA: 3.82/4.0

Focus Areas

Distributed Systems
Databases & ML

Research & Practice

Impact

Led 8-member team
$2.2B sales impact

ZS Associates

Core Expertise

Where I thrive: building systems that handle massive scale

Distributed Systems

Building fault-tolerant, scalable architectures that handle massive data flows

Spark • Hadoop • Kafka • Docker • Kubernetes

Database Systems

Optimizing queries, designing schemas, and building data infrastructure at scale

SQL • Redshift • Azure Data Explorer • Query Optimization

Machine Learning

Training models, optimizing LLMs, and deploying ML systems that drive real impact

PyTorch • TensorFlow • Hugging Face • Multi-GPU Training

Parallel Processing

Optimizing compute-intensive workloads for maximum throughput and efficiency

PySpark • Multi-GPU • MapReduce • Data Parallelism

Experience

Zscaler

Software Engineer Intern
May – Aug 2025

Designed geolocation correction system for 40K+ IPs using Azure Data Explorer, improving latency 10× and eliminating ~280K days of manual work. Recognized by VP-level leadership.

Azure Data Modeling System Design

ZS Associates

Machine Learning Engineer
Jul 2021 – Aug 2024

Led 8-member team building ML pipelines and data systems. Drove $2.2B sales increase, optimized ETL pipelines (71% faster), and managed production CI/CD infrastructure.

PySpark ML Engineering CI/CD Team Leadership

UW-Madison

Graduate TA - Big Data Systems
Aug 2025 – Present

Teaching 600+ students distributed systems, developing projects on Hadoop, Spark, Docker, and Kafka. Guiding next-gen engineers in scalable system design.

Distributed Systems Teaching Mentorship

Featured Projects

Building systems that scale, learn, and perform

Latest

LLM Training Optimization

Built multi-GPU fine-tuning pipeline for LLMs, reducing training time by 15% through intelligent data deduplication on 10M documents.

Data Reduced 14%
Time Saved 15%
PyTorch Hugging Face Multi-GPU W&B
View Project →

ML Model Visualizer

Animated visualization of 8+ ML algorithms from mathematical formulations, showcasing convergence mechanisms and parameter tradeoffs.

Python NumPy Matplotlib Algorithms
View Project →

EEG Emotion Detection

Classified emotions from EEG signals with 87.5% accuracy using frequency-based filtering and ML, improving baseline by 17%.

Python Signal Processing ML scikit-learn
View Project →

Database Management System

Built single-user DBMS from scratch in C++, implementing query parser, execution engine, and optimized data structures.

C++ Data Structures SQL Algorithms
View Project →

Technical Toolkit

Languages

Python C++ SQL Bash

ML & AI

PyTorch TensorFlow Hugging Face scikit-learn

Data Systems

Spark Hadoop Kafka Airflow Redshift

DevOps & Cloud

Docker Kubernetes CI/CD AWS Azure GCP

Let's Build Something

Interested in collaborating on distributed systems, ML, or just want to chat about tech? I'm always up for interesting conversations.

Email Me