Yash Modi

Yash Modi Email and Phone Number

AI Architect and Software Engineer | LLM, Python, React JS @ AGIL f(x)
Yash Modi's Location
New York, New York, United States, United States
About Yash Modi

At AGIL f(x), our team leverages my expertise in AI, full stack development, and network analysis to craft advanced AI solutions and streamline development workflows. With a Master's in Computer Science from The University of Texas at Arlington, I've honed skills in Python, React JS, and NetworkX, contributing to the creation of small, efficient LLMs and robust full stack applications. My graduate research fortified network systems, achieving a notable enhancement in resilience through a novel reinforcement learning framework. This propensity for innovation is further evidenced by a published book chapter on next-generation vehicular networks, showcasing a deep understanding of 5G technologies and their applications. With a passion for data-driven problem-solving, I continuously seek to merge academic insights with practical implementations, driving progress in the AI landscape.

Yash Modi's Current Company Details
AGIL f(x)

Agil F(X)

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AI Architect and Software Engineer | LLM, Python, React JS
Yash Modi Work Experience Details
  • Agil F(X)
    Ai Architect And Software Engineer
    Agil F(X) Jul 2024 - Present
    United States
    • Developed AI solutions using LLM and customized them to build small SLMs for AGIL f(x).• Utilized Python, React JS, and Mongo DB for full stack development projects.• Collaborated with no-code development tool Bubble.io to streamline development processes.
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  • The University Of Texas At Arlington
    Graduate Research Assistant
    The University Of Texas At Arlington Sep 2023 - Jul 2024
    Arlington, Texas, United States
    • Spearheaded the development of a cutting-edge reinforcement learning framework utilizing graph neural networks (GNNs) to bolster network resilience, resulting in a remarkable 28% increase in overall system robustness against failures.• Implemented advanced Python libraries such as DGL and NetworkX to model and analyze intricate network structures, leading to a significant 17% reduction in vulnerability to disruptive events
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  • The University Of Texas At Arlington
    Web Specialist Student Assistant
    The University Of Texas At Arlington Jan 2023 - Aug 2023
    Arlington, Texas, United States
    ◦ Website Design (Project 1) - Sustainability Department: Designed and developed a website for the Sustainability Department using Sitecore, and gained expertise over my HTML/CSS skills.◦ Associate Promotion - UTA Police IT Department: Promoted from Assistant to Associate. Developed aninventory management application using PowerApps, boosting productivity by 100%. Configured cameras by assigning unique IP addresses and maintaining comprehensive records.
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  • Iwant Technologies Private Limited
    Software Engineer
    Iwant Technologies Private Limited Jan 2021 - Jul 2022
    Ahmedabad, Gujarat, India
    ◦ Developed a thread-safe web application: Leveraged core Java, Java Spring Boot, and MySQL to create a robust and secure web-app for telecommunication purposes. Ensured thread safety to enhance performance and reliability.◦ Integrated RESTful APIs with frontend: Developed RESTful APIs using Spring Boot and seamlessly integrated them with the frontend developed using AngularJS, SCSS, and HTML5, creating an user-friendly interactive interface.◦ Implemented Agile methodology and collaboration tools: Followed Agile methodology for full development cycle. Utilized Swagger for API documentation and BitBucket/GitHub for project collaboration and version control.
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  • Infomize Technologies
    Machine Learning Engineer
    Infomize Technologies Jun 2020 - Dec 2020
    Ahmedabad, Gujarat, India
    ◦ Enhanced productivity and revenue: Used PyTorch Mmdetection to accelerate data mapping team’s productivity by conducting Entity Classification and Table detection on document images. Generated an additional $650K in revenue and achieved a significant 70% increase in customer acquisition.◦ Accurate object detection: Implemented FasterRCNN Object Detection Algorithm, achieving 82% mean Average Precision (mAP). Detected precise bounding boxes for 20 classes, ensuring reliable results.◦ End-to-end project involvement: Actively participated in managing all aspects of the project, including data annotation, model training, RESTAPIS deployment, and seamless integration with the frontend.
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  • Skibb Tech Limited
    Data Science Intern
    Skibb Tech Limited Jan 2020 - May 2020
    Ireland

Yash Modi Education Details

Frequently Asked Questions about Yash Modi

What company does Yash Modi work for?

Yash Modi works for Agil F(X)

What is Yash Modi's role at the current company?

Yash Modi's current role is AI Architect and Software Engineer | LLM, Python, React JS.

What schools did Yash Modi attend?

Yash Modi attended The University Of Texas At Arlington, Vishwakarma Government Engineering College, Chandkheda,gandhinagar 017, Shree Navchetan School - India.

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