Deval Pandya
I'm a Developer
About
Hi, I am Deval Pandya, a software engineer and data enthusiast with a Master’s degree in Computer Science from Arizona State University, where I graduated with a 4.0 GPA. Over the course of my career, I’ve had the opportunity to work with leading companies like JP Morgan Chase and ANB Systems, developing scalable solutions, optimizing performance, and embracing cutting-edge technologies such as cloud computing and machine learning.
My experience spans projects like AI chatbots, hybrid cloud applications, and performance tuning machine learning models. I thrive on solving complex challenges and building efficient, impactful software that drives innovation.
When I’m not coding, you can find me enjoying sports, both watching and playing, diving into online gaming, or picking up new skills like solving the Rubik’s Cube, performing magic card tricks, or learning Spanish.
Let’s connect and build something incredible together!
Software Engineering, Machine Learning & Cloud Computing
- Age: 25
- City: Phoenix, USA
- Degree: Master of Science
- Major: Computer Science
- Email: devaljpandya@gmail.com
- Phone: +1-512-412-0861
- Website: pandyadeval.github.io
Skills
Sumary
Deval Pandya
Versatile Computer Science graduate with a robust academic foundation, including a 4.0 GPA in a Master's program from Arizona State University, and hands-on experience in data analysis, machine learning, and software engineering. Proven ability to develop scalable ML pipelines, optimize complex systems, and lead high-impact projects, demonstrated through internships and professional roles at JP Morgan Chase, ANB Systems, and research contributions at Arizona State University.
- Phoenix, USA
- +1-512-412-0861
- devaljpandya@gmail.com
Education
Master of Science - Computer Science
2022 - 2024
Arizona State University, Tempe, USA
GPA: 4.0 out of 4.0
Bachelor of Technology - Computer Engineering
2016 - 2020
Sardar Vallabhbhai National Institute of Technology, Surat, India
GPA: 8.04 out of 10.0
Professional Experience
Data Analyst Intern
January 2024 - May 2024
ANB Systems LLC, Houston, USA
- Developed and deployed a scalable, automated ML pipeline using AWS services to streamline model training, improving turnaround time and resource efficiency for various ML models
- Enhanced the company’s existing ML architecture by integrating active learning mechanisms and standardizing workflows, resulting in significant reduction of manual processes and enabling seamless future model integration and updates
Research Aide
November 2022 - January 2024
Arizona State University, Tempe, USA
- Performance tuned a CNN-LSTM model to predict the trajectory of an airplane based on its 3 control surfaces in a NASA project
- Achieved precision of upto 0.04 mm for predicting the location of a solder joint crack on a PCB using AE sensor data in an Intel Project
Software Engineer
August 2020 - August 2022
JP Morgan Chase, Mumbai, India
- Managed to reduce the overhead of a critical application by 90% along with increasing its availability and performance
- Solved several production issues as well as security vulnerabilities and also took part in many production deployments for the products
- Successfully achieved a modernization task for an application by updating its authentication methods from SAML to OAuth2
- Developed and optimized efficient SQL routines and procedures for multiple applications
Software Engineer Intern
May 2019 - July 2019
JP Morgan Chase, Mumbai, India
- Created a cloud-native chatbot for helping new hires with the on-boarding process interactively
- Developed features like following various story lines to help the user with the process
- Utilized Kubernetes clusters to host back-end and front-end servers for improving performance, security and availability
Summer Intern
May 2018 - July 2018
MobileFirst Applications, Ahmedabad, India
- Implemented basic sentimental analysis on tweets using NLP and probabilistic models
- Developed a portable air quality checker using various gas sensors to collect appropriate data
- The collected data is then sent to an online database using the WiFi module
Portfolio
- All
- Web Development
- Machine Learning
- Cloud Computing
