SYSTEM_STATUS: ONLINE
dev@portfolio-system
PK

Parth Kevadiya

Full Stack Developer | Student researcher

CONTACT_MATRIX

EMAILPHONELINKEDIN

SYSTEM_OVERVIEW

> cat /profile/summary.txt
• Professional experience as a Software Developer, with demonstrated ability in client technical support, translating user requirements into functional applications, and coding, testing, and deployment. • Student of Software Engineering Technology - Artificial Intelligence; holds a Bachelor of Technology degree • Key Projects: 2 full-stack web applications, for sectors including fleet management system, AI chatbot, and e- Commerce; Work ethic and quality of deliverables resulted in a promotion to another research project • Exceptional analytical skills, used for establishing technical requirements, stakeholder engagement, troubleshooting issues and successful management of complex projects

TECH_STACK_RADAR

PROGRAMMING LANGUAGES
JavaScript
Python
C++
WEB DEVELOPMENT
ReactJS
Next.js
Tailwind CSS
MACHINE LEARNING
LSTM
XGBoost
Seaborn
DATABASE MANAGEMENT
MySQL
Prisma
MongoDB

PERFORMANCE_METRICS

2
PROJECTS
4
POSITIONS
37
SKILLS
2
CERTS
11101101110111010011101011001000100010001001111110
10011000010011010111100101010101100101100101011011
11111110110101111100110010100011100001100110001011
01101000011000100110110000001100100011111101010111
11110011001001101111011100101000011100110110110100
10111101110001011001101010101101001010111010110110
11100110100101010111110111000010100000000010101110
01100011100101001101001101000000111110110111010000
11001100110110110110101100000110101100101100000101
01010111001000111001110000010101110111101101011111
00011100010010011011110101000010101010001100111010
10100011011010000000110001101111000110111000100110
11000011000011011110100011011010101001011001001110
11111001011101110100001101100100111101011011000001
10000111010000111110100011001111101001110000111101
01101110001100000111011010100011011110001100001100
10101010001000101011101100101110100111000110111111
01100111010111101110101001111111011101111000011001
11110101110001101110110110000110011101001001000011
10110110100110101001110110011000000000110000101011
10101001100010110000111110100000111111001011111000
00100000100010101000001111100001010101000000011011
11000110001101010010011111111101110000000110110000
00011100000111110011111100100000111011000101001000
00000100001100010110110100000011111101010010010000

> ls -la /experience/

Full Stack Developer | Student researcher

@Centennial College | Centennial Innovates
Toronto, ON, Canada
> cat responsibilities.log
• Collaborated in a team of Developers on EcoFleet-AI, a full-stack fleet management solution aimed at increasing
operational productivity and efficiency for logistics businesses
• Lead Developer for the frontend using JavaScript and TypeScript, implementing responsive UI components and
seamless user workflows
• Recognized for exceptional performance and reliability by the project Supervisor, resulting in being promoted to an
additional research-based development project
• Technologies: JavaScript, TypeScript, Python, PHP, Google Maps API, SmartCar API, Git, REST APIs
DURATION
January 2025 – PRESENT

Field Marketing Representative

@Kognitive Sales Solution
Toronto, ON
> cat responsibilities.log
• Demonstrate strong communication and interpersonal skills, through sales of financial services products
• Achieve key sales targets, and offer customers information on various President’s Choice Financial services products
• Manage confidential customer information with sensitivity, integrity and upholding data protection protocols
DURATION
March 2025 – June 2025

Machine Learning Intern

@Remarks Skill
Mumbai, India
> cat responsibilities.log
• Implemented machine learning algorithms, with a focus on time-series forecasting and model evaluation
• Developed a stock market price prediction model using an LSTM neural network, achieving ~86% prediction
accuracy on NSE Tata Global data
• Analyzed 1.6K+ records to uncover insights, optimizing efficiency by 20% and enhancing data-driven decisions
• Leveraged TensorFlow and Scikit-learn libraries for model training and evaluation; implemented data preprocessing,
normalization, and visualization using Pandas and Matplotlib
• Technologies: Python, TensorFlow, Keras, Scikit-learn, Plotly Dash, Pandas, NumPy, Matplotlib
DURATION
April 2021 – July 2021

Data Analyst

@TI Automative
Bramptob
> cat responsibilities.log
• Collaborated with a multidisciplinary research team at Centennial Innovates to design and develop an AI-driven production scheduling system optimizing manufacturing workflows for ABC Technologies, improving efficiency and adaptability to real-time operational changes.
DURATION
September 2025 – December 2025

> find /education -type f

B.Tech in Computer Science and Engineering specialized in AI

ITM SLS Baroda University, Vadodara
2024
GPA: 8.3

Advanced Diploma

Centennial College
December 2026
GPA: 3.8

> ./skills --list-all

PROGRAMMING LANGUAGES

> cat programming languages.txt
JavaScript
Python
C++

WEB DEVELOPMENT

> cat web development.txt
ReactJS
Next.js
Tailwind CSS

MACHINE LEARNING

> cat machine learning.txt
LSTM
XGBoost
Seaborn

DATABASE MANAGEMENT

> cat database management.txt
MySQL
Prisma
MongoDB
PL/SQL

AI INTEGRATION

> cat ai integration.txt
LLM
Replicate Llama
OpenAI

VECTOR DATABASE

> cat vector database.txt
Pinecone

FRAMEWORKS & LIBRARIES

> cat frameworks & libraries.txt
jQuery
React
Express
Angular
Node.js
JavaFX

TESTING & QA

> cat testing & qa.txt
Postman
PyTest
GitHub actions

AWS WEB SERVICE

> cat aws web service.txt
S3
Lambda
API Gateway

OTHER TECHNOLOGIES

> cat other technologies.txt
Kanban
Jira
Trello
MS Office
Google Cloud
AWS
Render
Docker

> git log --projects --oneline

companion.ai - A Personalized Chatbot

PROJECT_ID: 1
> cat package.json | grep dependencies
ReactJSTailwind CSSNext.jsLLMReplicate LlamaOpenAIMySQLPrismaPinecone
> cat README.md

Companion.ai is a conversational AI chatbot built using ReactJS/Tailwind CSS for the front-end and Next.js for the back-end. It utilizes LLM, Replicate Llama, and OpenAI models for responses, MySQL with Prisma for data storage, and Pinecone for information retrieval.

Stock Market Prediction using ML

PROJECT_ID: 2
> cat package.json | grep dependencies
PythonLSTMDash
> cat README.md

Built a Python-based stock market prediction dashboard with LSTM model for price trend analysis and forecasting, interactive Dash visualization, error handling, and feature engineering techniques.

> openssl verify /certifications/*

Certificate of completion in Blockchain Basics (Dec 2023) - Great Learning

VERIFIED ✓

Certification in Big Data Tools (Jan 2024) - Simplilearn

VERIFIED ✓
END_OF_TRANSMISSION
Thank you for exploring my digital portfolio matrix
Built with: React • TypeScript • Next.js • Tailwind CSS