RAJAT DUNGARWAL

Software Engineer • Data-driven • Problem Solver

I build clean, reliable
products for the web.

A software engineer and MS Computer Science candidate at the University of Texas at Arlington. I focus on building scalable backend services, data-driven applications, and dashboards that turn raw data into clear decisions.

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Rajat Dungarwal

Why me?

I combine strong fundamentals in algorithms and data with hands-on experience building real products: finance apps, analytics dashboards, and ML-powered tools. I care about writing clean code, understanding the business problem, and delivering solutions that actually get used.

01

End-to-end ownership

From requirements and design to APIs, data models, and deployments, I’m comfortable owning the full stack.

02

Data-driven mindset

I love using SQL, Python, and BI tools to answer real questions and guide decisions for stakeholders.

03

Mentorship & teaching

As a GTA, I’ve helped dozens of students understand complex algorithms and problem-solving patterns.

04

Always learning

I continuously explore new tools in cloud, analytics, and AI to stay sharp and deliver more value.

Things I achieved

A mix of academic performance, industry experience, and personal projects that show how serious I am about building real systems.

4+ years

Combined industry & academic project experience.

3.9 / 4.0

GPA in MS Computer Science at UTA.

10+ projects

Deployed apps, dashboards, and data pipelines.

Book & paper

Published work on my ML-based “Thing Translator”.

Work Experience

Data Analyst

University of Texas at Arlington • 2025 – Present

  • Performed high-accuracy image annotation and error correction on 200+ images weekly using CVAT (Computer Vision Annotation Tool) for multimodal datasets, supporting machine learning image classification and object detection projects.
  • Established standardized data cleaning protocols using Python (Pandas, NumPy, file handling) across 5 large-scale biomedical datasets, reducing data inconsistencies by 18% and accelerating model training cycles by 25%.

Graduate Teaching Assistant – Design & Analysis of Algorithms

University of Texas at Arlington • 2024 – 2025

  • Mentored 50+ students in advanced algorithms, data structures, and Python programming through weekly office hours & technical guidance.
  • Design practice problems and office-hour sessions that improve understanding of graph, greedy, and DP algorithms.
  • Provide feedback on assignments and projects to strengthen students’ problem-solving mindset.

Research Assistant

University of Texas at Arlington • 2023 – 2024

  • Co-ordinated faculty-led research projects by collecting, cleaning, and preprocessing structured and unstructured datasets using Python.
  • Performed exploratory data analysis and basic machine learning experiments to support research findings and improve data quality.

Software Engineer

Accenture • 2021 – 2023

  • Awarded promotion to Software Engineer from Associate Software Engineer after just one year, recognized by management as a top performer and a valuable contributor to the team’s software development goals.
  • Engineered and optimized full stack software solutions using ASP.NET Core MVC, SQL Server, RESTful APIs, and C# to improve system performance by 25%.
  • Debugged and resolved critical production issues, reducing application load times by 30% within 3 months through performance tuning, code refactoring, and algorithmic efficiency improvements.
  • Deployed monitoring & alerting systems using application logging frameworks & Grafana metrics dashboards reducing downtime by 40%.

Machine Learning Research Intern

Grroom • 2020 – 2021

  • Spearheaded end-to-end machine learning research initiatives including web scraping with Python (BeautifulSoup, Scrapy), data preprocessing, and model training using TensorFlow/PyTorch.
  • Architected data annotation strategies and labeling workflows for training datasets, enhancing model performance and reducing annotation errors by 20% across computer vision tasks.

Student Volunteer

U & I Trust - (Orphanage Education Program) • 2018 – 2019

  • I mentored orphanage students in English, Mathematics, and Science while helping them understand the importance of education and self-belief.
  • My goal was to build their confidence, encourage curiosity, and show them that they can achieve anything with consistency and determination.
  • This experience was equally transformative for me - seeing these children strive for their dreams with so little made me realize the true value of resilience and gratitude.
  • It motivated me to become a better role model, do more good for others, and push myself to grow. Their strength and positivity boosted my own confidence and inspired me to lead by example in everything I do.

Education

MS in Computer Science

University of Texas at Arlington • 2023 - 2025

Specializations in Intelligent Systems, Software Engineering, and Databases. Coursework in algorithms, AI, ML, data mining, and distributed systems.

Bachelor of Engineering in Computer Science

Universal College of Engineering • 2017 – 2021

Built strong foundations in algorithms, OS, DBMS, and software engineering with multiple team projects and presentations.

Selected Projects

Sofware Engineering

Personal Finance Tracker

Full-stack finance app that tracks income, expenses, budgets, and savings goals with reminders for rent, EMIs, and utilities – built as a production-style course project.

  • Flask API backend with MySQL, authentication, and role-based access.
  • Android app for adding transactions and getting bill notifications.
  • Implemented unit tests and Selenium automation for critical flows.
Flask • MySQL • Android • REST APIs • Git • Selenium • JSON • JWT
GitHub
ML & Product

Thing Translator

Camera-based mobile app that recognizes objects and speaks their names, helping kids and learners build vocabulary. Supported by a published book and research paper.

  • On-device inference using TensorFlow Lite and carefully designed classes.
  • Evaluated model performance metrics using Python and Power BI.
  • Integrated text-to-speech for accessible, audio-first learning.
TensorFlow • Android • Python • NLP • TTS • Git • Java • Image classification
GitHub Paper Book
Analytics

Retail Sales Dashboard

Power BI dashboard for an e-commerce retailer, tracking revenue, profit, regional performance, and product-level trends with drill-downs.

  • Built ETL in Python & SQL to clean and aggregate multi-source data.
  • Created and launched interactive Power BI dashboard to track revenue metrics, product performance, customer segmentation enabling real time business monitoring.
Power BI • Python • SQL • Excel • Pandas • Numpy • Matplotlib • Jupyter Notebook • Agile
GitHub

Resume

Here’s a quick preview of my resume. Feel free to download a copy or open it in a new tab.

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Certificates

A snapshot of the credentials that support my work in cloud, analytics, and software engineering.

Research paper published Certificate

Research Paper Published

International Conference on Smart Data Intelligence (ICSMDI)

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Python for Data Science, AI & Development

IBM

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Data Visualization

National level hands-on program

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Green Software for Practitioners (LFC131)

Green Software Foundation

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Prediction using Machine Learning Algorithms

National level hands-on program

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TensorFlow for AI, ML and Deep Learning

Coursera (DeepLearning.io)

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