• Hi!
    I'm Parth Thakkar

    About Us

    Who Am I?

    Hi, I'm Parth Thakkar, a Software Developer & Implementation Specialist with 4 years of experience in Full Stack Development and client solution implementation. I hold a Full Stack Software Development degree from Lambton College (GPA: 3.27/4.00) and a Bachelor's in Computer Engineering (CGPA: 9.71/10.00).

    At AGS Health, I improved software adoption by 50% and boosted operational efficiency by 30%. As a Full Stack Java Developer at Ordex Technology Solutions, I optimized APIs, built social media & restaurant management solutions, and implemented lead generation platforms for real estate. In my Implementation Specialist role, I advised and executed best practices for solution design, integrations, and post-implementation support, ensuring seamless client experience and product success.

    Certified in AWS, Scrum, and SQL, with expertise in Java, Python, Spring Boot, and modern web technologies, I bring strong problem-solving skills and a passion for innovation.

    Problem Solving

    Software

    Database

    Application

    I am happy to know you
    that 200+ projects done sucessfully!

    Hire me
    What I Do?

    Here Are Some of My Expertise

    Innovative Ideas

    Bringing creative concepts to life with innovative problem-solving.

    Software Development

    Developing resilient, efficient software for diverse applications.

    Application Development

    Crafting user-friendly applications to meet diverse needs.

    Graphic Design

    Translating concepts into visually captivating designs.

    Software Solutions

    Implementing effective software solutions for various requirements.

    Application Design

    Creating intuitive and responsive application designs.

    140 Cups of coffee
    28 Projects
    70 Clients
    2 Certification
    My Expertise

    My Skills

    Enthusiastically honing my skills to excel in the dynamic world of technology and development. Here's a glimpse of my proficiency:

    Java

    90%

    Python

    75%

    JavaScript

    85%

    HTML/CSS

    90%

    Spring Boot

    90%

    Angular

    80%

    AWS

    65%

    Node.js

    75%

    SQL

    90%

    Machine learning

    70%
    Education

    Education

    Lambton College, Toronto, ON

    GPA: 3.27/4.00

    Relevant Courses: Front End Web Development, Programming JAVA EE, Python, Database Design & SQL, Web Application using C# .NET, Database programming, Full Stack JavaScript, DevOps, Cloud Computing, Problem Solving.

    Gujarat Technological University, Gujarat, India

    CGPA: 9.71/10.00

    Relevant Courses: Data Structure, Web Development, Database Management Systems, Computer Networks, Operating System, Advance Java, Machine Learning, Statistics, Big Data Analytics, Data Mining and Business Intelligence, Object-Oriented Programming, Analysis and Design of Algorithms, Software Engineering, Theory of Computation.

    Experience

    Work Experience

    Client Implementation Specialist at Paymentus Mar 2025 – Present

    • Collaborate with clients to understand business requirements and configure Paymentus solutions to meet specific needs.
    • Lead end-to-end implementation processes including system configuration, integration, and testing to ensure seamless deployments.
    • Provide expert guidance during User Acceptance Testing (UAT) and deliver post-implementation support to ensure product stability and client satisfaction.
    • Perform root cause analysis and triage to identify and resolve issues promptly, enhancing client experience and solution performance.
    • Collaborate with cross-functional teams including development, support, and project management to deliver high-quality implementations on time.
    • Document processes, create client-facing knowledge resources, and deliver training sessions to enable smooth transitions to production environments.

    Courtesy Desk Associate at Walmart Sep 2022 – Feb 2025

    • Provided exceptional customer service by addressing inquiries, resolving issues, and ensuring overall customer satisfaction.
    • Conducted accurate cash transactions, balanced cash drawer at the end of each shift, and processed various forms of payments.
    • Demonstrated in-depth knowledge of Walmart's product offerings, assisting customers in finding items and making informed purchase decisions.
    • Proactively identified and resolved customer concerns, contributing to a positive work environment and collaborating with team members as needed.
    • Ensured strict compliance with Walmart's policies and procedures, particularly in areas such as returns, exchanges, and cash handling.
    • Utilized point-of-sale (POS) systems and other technological tools to process transactions efficiently.

    Research Engineer at AGS Health Dec 2021 - July 2022

    • Led AGS Health Care's software to a 50% increase in market adoption across hospitals and clinics within a year, driven by superior accuracy and efficiency in patient data management and diagnostic support.
    • Our AGS Health Care product enhancements resulted in a 30% boost in operational efficiency for healthcare providers, enabling a 20% increase in daily patient care capacity without sacrificing quality.
    • Implemented AI and NLP improvements in AGS Health Care's software, elevating diagnostic accuracy by 25%, which significantly reduced misdiagnosis rates by 15% and enhanced patient treatment effectiveness.
    • Achieved a 95% satisfaction rate with AGS Health Care's software among medical staff, highlighting its user-friendly interface, reliability, and positive impact on patient care workflows.
    • Enabled healthcare facilities using AGS Health Care's solutions to cut operational expenses by 20% through streamlined data management and process automation, contributing to the product's rapid adoption.
    • Ensured that AGS Health Care's software met stringent compliance and data security standards, achieving a 100% adoption rate among targeted facilities prioritizing regulatory adherence.
    • Facilitated a 98% success rate in the seamless integration of AGS Health Care's software into existing healthcare systems, thanks to comprehensive support and training programs, thereby encouraging widespread adoption.
    • Offered scalable and customizable solutions through AGS Health Care, leading to a 40% growth in adoption among small to medium-sized healthcare facilities, demonstrating the software's versatility.

    Full Stack Java Developer at Ordex Technology Solutions Jan 2021 – Nov 2021

    • Spearheaded API optimization for a leading on-demand transportation platform, resulting in a 30% increase in car booking speed and significantly improving user experience.
    • Developed Angular-based frontend and MongoDB-backed solutions for a high-profile social media project, enhancing engagement for political figures with a 25% increase in user interaction.
    • Optimized a restaurant management system by automating menu updates through Excel integration, leading to a 40% reduction in manual data entry and a 20% increase in operational efficiency for clients.
    • Implemented a comprehensive lead generation and management solution for real estate, integrating CRM and Big Query, which boosted lead capture by 50% and enhanced data-driven decision-making through custom Google Data Studio dashboards.
    • Leveraged an extensive technology stack including Java, Spring Boot, Angular, and GCP Cloud Functions across various projects, contributing to a 15% decrease in development time and a 20% improvement in system performance.
    • Enhanced operational efficiency by developing and optimizing stored procedures and automation scripts, reducing processing times by up to 30% and improving system reliability.
    • Proficiently developed and tested REST APIs for multiple projects, improving data interchange efficiency by 25% and enhancing third-party integration capabilities.
    • Implemented on-page SEO strategies, resulting in a 35% increase in organic traffic and a 20% improvement in user engagement metrics for web applications.

    Software Developer at Softvan Pvt Ltd Aug 2018 – Dec 2020

    • Designed and implemented a scalable microservice architecture with Spring Boot and Spring Data JPA.
    • Utilized Java Persistence APIs and Hibernate for effective MySQL database management, reducing query response times by 30%.
    • Developed AI/ML models, achieving a 25% enhancement in performance through deep learning techniques.
    • Enhanced data management and scalability using AWS S3 buckets, increasing data retrieval speed by 40%.
    • Improved website performance by 20% with optimized database queries and caching mechanisms, leading to a 15% increase in user satisfaction.

    Certifications

    • AWS Certified Cloud Practitioner
    • Scrum Fundamentals Certified
    • Data Analytics Essentials - CISCO
    • SQL For Data Science
    • Programming With Everybody (Getting Started with Python)
    • Python For Data Structure
    • Neural Network and Deep Learning
    • Convolutional Neural Network
    • Aws Fundamentals: Going Cloud-Native
    • Hacker Rank: Java, SQL, JavaScript, Python, Problem Solving, NodeJS
    My Work

    Recent Work

    Lung Cancer Detection System

    Developed a Django web application integrated with a Convolutional Neural Network (CNN) model for lung cancer detection. Users can upload chest X-ray images for analysis. The CNN model, trained on the National Institutes of Health (NIH) dataset, achieved an impressive accuracy rate of 98%.

    900 200

    Co-WIN Slot Availability

    Developed a dynamic web application utilizing Co-WIN public APIs to provide real-time slot availability notifications. Users can customize their preferences, including pin code, vaccine type, age group, and date, while the system continuously monitors slot availability. When slots become accessible, users are promptly alerted with a distinct beep sound. Additionally, it displays detailed center information, including names and addresses, when available.

    500 400

    Book Management System

    Implemented a Book Management System using Node.js, Express, and MongoDB. This system allows users to view all books, add new books, get details of a specific book, and update book information. The data is stored in a MongoDB database for efficient management.

    100 49

    Movie Recommendation System

    Developed a Movie Recommendation System using Django and Machine Learning. Implemented a Content-Based Recommendation System that recommends movies based on user-provided data. Django facilitated quick web app development, and being Python-based, it allowed seamless deployment of the machine learning model. The system provides an interactive experience for users to discover movies similar to their preferences.

    200 100

    Get in Touch

    Contact

    Toronto, Canada