Mukesh Chugani — Software Engineer

A highly skilled computer science professional with a Master's degree in Computer Science from the University of Illinois Urbana-Champaign and a Bachelor's degree in Computer Science from Amrita University. I am a Gold Medalist in my class with a strong foundation in data structures, algorithms, data analytics and machine learning. I have 1+ years of extensive internship experience in software development, data analysis, and machine learning, with expertise in Python, C++ and SQL. I have worked on several projects ranging from optimizing pytorch deep learning pipelines, developing end-to-end applications for object detection, tracking and segmentation, to dashboarding and visualizing essential customer data. I am proficient in tools such as TensorRT, PyTorch, Keras, QlikSense, D3.js, HTML, CSS, jQuery, Flask, Celery, Redis, Docker, AWS, GCP, Hadoop, MapReduce, GIT, JIRA and Matlab. As part of my research work, I have published two papers in international conferences and have worked on academic projects related to data analytics, deep learning for healthcare and software development. I am a quick learner, a team player, and passionate about solving complex problems using technology. I'm seeking full-time opportunities in the field of data science and software development to utilize my skills and make a positive impact through innovative solutions and collaborative teamwork.

Stackforce AI infers this person is a Data Science and Software Development professional with a focus on Agritech and Fintech.

Location: Austin, Texas, United States

Experience: 4 yrs 3 mos

Skills

React.js
Aws
Machine Learning
Data Science
Data Analytics
Software Development
Data Visualization

Career Highlights

Gold Medalist in Computer Science
Expertise in Machine Learning and Data Analytics
Published research in international conferences

Work Experience

Talroo

Software Engineer (1 yr 3 mos)

Associate Software Engineer (1 yr 4 mos)

University of Illinois Urbana-Champaign

Software Developer (4 mos)

Graduate Teaching Assistant (4 mos)

Graduate Research Assistant (4 mos)

Graduate Teaching Assistant (4 mos)

EarthSense, Inc.

Machine Learning Engineer Intern (3 mos)

IIIT Hyderabad

Software Engineer Intern (4 mos)

HSBC

Data Analyst Intern (6 mos)

International Institute of Information Technology – Bangalore

Summer Research Fellow - Indian Academy of Sciences (2 mos)

Education

Master of Science - MS at University of Illinois Urbana-Champaign

Bachelor of Technology(Hons.) at Amrita Vishwa Vidyapeetham

Mukesh Chugani

Software Engineer

Austin, Texas, United States4 yrs 3 mos experience

Most Likely To Switch

Key Highlights

Gold Medalist in Computer Science
Expertise in Machine Learning and Data Analytics
Published research in international conferences

Stackforce AI infers this person is a Data Science and Software Development professional with a focus on Agritech and Fintech.

Contact

Skills

Core Skills

React.jsAwsMachine LearningData ScienceData AnalyticsSoftware DevelopmentData Visualization

Other Skills

Algorithm DesignAlgorithmsAmazon Web Services (AWS)C (Programming Language)C++CSSCaffeCascading Style Sheets (CSS)Critical ThinkingD3.jsData AnalysisData StructuresDockerFlaskHTML

About

Experience

4 yrs 3 mos

Total Experience

2 yrs 1 mo

Average Tenure

2 yrs 7 mos

Current Experience

Talroo

2 roles

Software Engineer

Promoted

Mar 2025 – Present · 1 yr 3 mos · Austin, Texas, United States · On-site

Associate Software Engineer

Nov 2023 – Mar 2025 · 1 yr 4 mos · Austin, Texas, United States · On-site

University of illinois urbana-champaign

5 roles

Software Developer

Promoted

Jul 2023 – Nov 2023 · 4 mos · Champaign, Illinois, United States · On-site

Software Developer (front-end) at the Healthy Regions & Policies Lab at UIUC

Next.jsAmazon Web Services (AWS)React.jsAWS

Graduate Teaching Assistant

Jan 2023 – May 2023 · 4 mos · Champaign, Illinois, United States

◦ Teaching Assistant for CS 412: Introduction to Data Mining, taught by Prof. Hanghang Tong (Spring 2023)

Graduate Teaching Assistant

Aug 2022 – Dec 2022 · 4 mos · Champaign, Illinois, United States

◦ Teaching Assistant for CS 412: Introduction to Data Mining, taught by Prof. Arindam Banerjee (Fall 2022)

Graduate Research Assistant

Promoted

Jan 2022 – May 2022 · 4 mos · Champaign, Illinois, United States

◦ Research Assistant to Prof. Abdussalam Alawini (Spring 2022)
◦ Worked on data analytics, dashboarding and visualization of student grades.

Machine LearningPython (Programming Language)D3.jsData Analytics

Graduate Teaching Assistant

Aug 2021 – Dec 2021 · 4 mos · Champaign, Illinois, United States

◦ Teaching Assistant for CS 543: Computer Vision, taught by Prof. Svetlana Lazebnik (Fall 2021)

Earthsense, inc.

Machine Learning Engineer Intern

May 2022 – Aug 2022 · 3 mos · Champaign, Illinois, United States · On-site

◦ Model optimization: Optimized a pytorch vision pipeline to detect the height of corn ears and stem width in crops. Programmed custom C++ TensorRT plugins to modify the ONNX graph of the YOLACT++ model. Enabled real-time inference by decreasing latency by 30%.
◦ Self-supervision: Evaluated multiple self-supervision techniques like DINO to efficiently pre-train computer vision models for semantic segmentation. This reduced the annotation time required for segmentation tasks by 3-6%.
◦ Technologies: Python (Pytorch, Caffe2), C++, TensorRT, Google Cloud Platform (GCP), Docker

C++Data ScienceTensorRTPyTorchCaffeDocker+1

Iiit hyderabad

Software Engineer Intern

Mar 2021 – Jul 2021 · 4 mos · Hyderabad, Telangana, India · Hybrid

◦ Vision pipeline: Contributed to the development of an end-to-end application for object detection, tracking and segmentation using pytorch. Reduced the inference time by 85% over the pytorch implementation by using tensorrt and containerization with Docker.
◦ PDF translator: Architected a web-based application to translate PDFs from one language to another with real-time status updates. The translator extracts text from the PDF by converting it into HTML, translates it and replaces the text by preserving figures and structure of the PDF. Deployed the application on the AWS cloud platform.

FlaskSocket.ioJavaScriptTensorRTDockerSoftware Development

Hsbc

Data Analyst Intern

Dec 2019 – Jun 2020 · 6 mos · Bangalore

◦ Customer data dashboard: Actively contributed to monitoring, visualizing and dashboard development of essential customer data to generate fruitful insights for the marketing team. Also pioneered two customized QlikSense data visualization extensions using D3.js.
◦ Voice-to-visualization: Devised a web-based graphing application which generates Qliksense visualizations based on voice commands from the user.
◦ Transducer: Designed regular expressions and set up a GUI-based transducer to convert snippets of SAS to python.

jQueryFlaskData ScienceHTMLQlik SenseD3.js+1

International institute of information technology – bangalore

Summer Research Fellow - Indian Academy of Sciences

Apr 2019 – Jun 2019 · 2 mos · Bengaluru Area, India

Contributed to a computer vision project aimed at identifying text, figures and mathematical expressions in lecture videos.
Guide: Dr. Dinesh Babu Jayagopi

Data Science