Dhruvish Patel

Software Engineer

Raleigh, North Carolina, United States3 yrs 2 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Developed automation tools reducing design time significantly.
Created impactful Android applications for data collection.
Contributed to COVID-19 solutions enhancing public health.

Stackforce AI infers this person is a Software Developer with expertise in Mobile and AI applications across various industries.

Contact

dmpatel4@ncsu.edu LinkedIn

Skills

Core Skills

Machine LearningAndroid DevelopmentSoftware DevelopmentMobile Application Development

Other Skills

Python (Programming Language)KotlinFlutterArtificial Intelligence (AI)DartAzure SQLAzure DevOps ServerGenetic AlgorithmsAlgorithmsOpenCVArtificial Neural NetworksRaspberry PiObject DetectionRCNNFlask

About

As a Master's student in Computer Science at North Carolina State University, I am driven by my passion for software development and engineering. With experience in image analysis, computer vision, machine learning, and android development, I am eager to continue building my skills in these areas and make a meaningful impact in the industry. I am dedicated to staying on the cutting edge of technology and continuously learning in my field.

Experience

3 yrs 2 mos

Total Experience

1 yr

Average Tenure

1 yr 10 mos

Current Experience

Intel corporation

2 roles

Software Developer

Aug 2024 – Present · 1 yr 10 mos · Arizona, United States · Hybrid

Software Developer

Jun 2023 – Apr 2024 · 10 mos · Arizona, United States · Hybrid

Developed an automation tool using Python that leverages a genetic algorithm, a machine learning technique, to optimize breakout circuit designs for package designers (A complex path-finding problem). This tool can solve a problem that usually requires weeks of manual redesign efforts, by finding a solution consisting of traces close to an optimal solution.

Python (Programming Language)Machine Learning

North carolina state university

Student Software Developer

Mar 2023 – Jun 2023 · 3 mos · Raleigh, North Carolina, United States

Designed and developed an Android app with the Department of Plant Science to facilitate the efficient capture and annotation of plant data, utilizing advanced imaging capabilities. Collaborated with a team to refine the app’s functionality and optimize the data collection and annotation process.

Android DevelopmentKotlin

Rife software

2 roles

Software Engineer

Jun 2021 – Jul 2022 · 1 yr 1 mo · Surat, Gujarat, India · On-site

Projects I worked on:
Visit-Log: Worked on a visitor management product developed using DotNet and Azure. The product is extensively used by various government bodies in European Union serving a total of 2 million+ monthly active users. Also, I had the responsibility of handling any product-related queries.
Konst-Databasen: Handled an art database owned by the Norwegian Arts Council. Automated parts of the process that were previously done manually, improving the system’s speed by 25%. Further, leveraged and integrated new technologies, to create an efficient and reliable system. As a result, the Council was able to increase productivity.
Green-Pass: Created a unified system that could be shared with all government entities and helped in the quick and efficient process to help reduce the spread of COVID-19 by a margin of 16.88%. According to the information on the passport, it was determined whether the person had ever been exposed to the disease, their travel history, and vaccination history. This system was a great success and has proved effective in the fight against COVID-19.

FlutterArtificial Intelligence (AI)Software Development

Software Engineer Intern

Nov 2020 – May 2021 · 6 mos · Surat, Gujarat, India · On-site

Projects I worked on:
DocTyme: Designed and Implemented a flutter app based on a patient-focused database. The AI recommendation system increased user engagement by 32% and its net promoter score by a scale of 0.5.
Virtual QR Codes: Worked on a product to uniquely identify containers in a warehouse based on virtual QR Codes avoiding the situation of difficulty where paper-based QR codes may get torn apart making them useless. The product made a remarkable record of 4M+ entries within a month with an accuracy of 91.65%. This enabled the organization to make an efficient inventory management system and reduce manual effort by about 48%

FlutterDartMobile Application Development