Summary
Overview
Work History
Education
Skills
Accomplishments
Timeline
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Jay Patel

New York,NY

Summary

Senior Full-Stack Developer Highly passionate, enthusiastic and self-learning Well-qualified full-stack developer familiar with a wide range of programming utilities and languages. Knowledgeable of backend and frontend development requirements. Handles any part of the process with ease. Collaborative team player with excellent technical abilities offering two years of related experience.

Overview

3
3
years of professional experience

Work History

Senior Full Stack Developer

Fablead Developers Techno Lab
01.2022 - 04.2023
  • Developed functional databases, applications, and servers to support websites on the back-end.
  • Worked with back-end developers to design APIs.
  • promoted as a Team Leader and working on client projects.

Junior Full Stack Developer

Fablead Developers Techno Lab
07.2020 - 12.2021
  • Started working on clients projects which was based on ecommerce domain.

Web Developer Trainee

Fablead Developers Techno Lab
01.2020 - 06.2020
  • Learnt Python technology along with its frameworks like Django and Flask
  • Got an experience about Database Management
  • System

Education

Master of Science - Computer And Information Sciences

University of Alabama At Birmingham
Birmingham, AL
05.2025

BCA - computer

C. B. Patel, collage
VNSGU, Surat, Gujarat
06.2019

Skills

  • Python
  • Django
  • Machine learning
  • PHP
  • HTML
  • CSS
  • Java Script
  • MySQL
  • Project Management Skill
  • System Design Skill
  • Communication Skill
  • Teamwork
  • Team Leader
  • Presentation Skill
  • Achievements Tasks
  • Workflow Diagrams

Accomplishments

  • Attendance System using Face Recognition

Collected 50 people face data and applied image processing techniques including image augmentation, segmentation, filters for enhancing data for getting accurate face recognition and built custom transfer learning model to train faces and saved it

  • Image Caption Generator System

Load images along with their captions from the dataset and preprocess them using TensorFlow Keras preprocessing module Applied transfer learning, in which I have used the Inception pre- trained model for extracting objects from images Built a combined neural network of Convolutional neural network (CNN) and a long-short- term memory network (LSTM)

  • Reliance Stock Prediction

Found dataset from yahoo finance and prepared it for prediction applying data preprocessing steps Taken close price from data, prepared based on time sequence and applied 3 different regression algorithms, which were Super vector regressor (SVR), Random Forest regressor (RFR) and K-nearest neighbors, along with 3 neural networks such as Long short-term memory (LSTM), Gated recurrent unit (GRU) and combination of both (LSTM+GRU) Then, I compared all six using various parameters like RMSE, MSE, R2 score, etc. For figuring out best one. Eventually, GRU predicted more accurate result then rest of five.

Timeline

Senior Full Stack Developer

Fablead Developers Techno Lab
01.2022 - 04.2023

Junior Full Stack Developer

Fablead Developers Techno Lab
07.2020 - 12.2021

Web Developer Trainee

Fablead Developers Techno Lab
01.2020 - 06.2020

Master of Science - Computer And Information Sciences

University of Alabama At Birmingham

BCA - computer

C. B. Patel, collage
Jay Patel