Aashay Shah

Software Engineer

Ahmedabad, Gujarat, India1 yr 10 mos experience

Key Highlights

Expert in Machine Learning and Deep Learning techniques.
Hands-on experience with FPGA and Vivado.
Developed web applications integrating machine learning models.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in Machine Learning and Geospatial technologies.

Contact

Skills

Core Skills

FpgaMachine LearningOperating SystemsDeep Learning

Other Skills

VivadoPattern RecognitionData StructuresProgrammingChange DetectionSatellite ImageryNode-REDIBM CloudPython (Programming Language)Core JavaJavaServer Pages (JSP)ServletsHibernateSpring FrameworkSpring Boot

Experience

1 yr 10 mos

Total Experience

1 yr 10 mos

Average Tenure

1 yr 10 mos

Current Experience

Amd

Software Development Engineer - 2

Jul 2024 – Present · 1 yr 10 mos · Hyderabad, Telangana, India · On-site

FPGA || Vivado

FPGAVivado

Indian institute of technology, madras

Teaching Assistant

Aug 2022 – Jul 2024 · 1 yr 11 mos · Chennai, Tamil Nadu, India · On-site

Course CS5691 : Pattern Recognition and Machine Learning
Course CS3500 : Operating Systems Lab
Course CS5800 : Advance Data Structures and Algorithms
Course CS1100 : Introduction to Programming

Pattern RecognitionMachine LearningOperating SystemsData StructuresProgramming

Aivid.ai

Back End Developer

May 2021 – Jul 2021 · 2 mos · Ahmedabad, Gujarat, India

Bhaskaracharya institute for space applications and geo-informatics

Project Intern

Nov 2020 – Apr 2021 · 5 mos · Ghandhinagar

This was an industrial project which I did as a part of my B.tech project at Government Organization BISAG-N. Change Detection in Satellite imagery using Deep Learning techniques with available satellite images will give the visualization of the affected area. Using Deep Learning models accomplishing the best accurate results for analyzing high-resolution images, matching criteria for tackling security problems.

Deep LearningChange DetectionSatellite Imagery

Thesmartbridge

Internship

Jun 2020 – Jul 2020 · 1 mo

This was a 1-month Machine Learning Remote Internship In which I had to create a web application using Node-RED and a Machine Learning Model. The model is deployed on the IBM cloud. Users will enter the data through the form created by the Node-RED web application, and the model will predict the life expectancy. The prediction will be displayed on the app.

Machine LearningNode-REDIBM Cloud