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  • Residence: Florida, United States
  • City: Melbourne
  • Age: 23
Skills
90%

Python

80%

SQL

75%

AWS

90%

ML

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INTRODUCE

I Innovate
With AI

I am a Graduate Aspiring AI/ML Engineer, navigating the digital frontier with the compass of Artificial Intelligence."

  • Available for work
  • Full Time Job
ABOUT ME

About Me

Hi, my name is Shreya Nandanwar an aspiring AI/ML Engineer passionate about Generative AI and NLP. With a solid foundation in computer science and hands-on experience in innovative AI solutions, I'm driven to leverage technology to solve complex challenges and advance the field of AI.

  • Email :
    [email protected]
  • LinkedIn : in/shreya-nandanwar
  • Github : github.com/shreya-3101
  • Language : English, Hindi
  • 1+
    Years Of Experience
  • 5+
    Handled Projects
  • 2
    Research Papers
ACHIEVEMENTS

My Achievements

Highlighting my scholarly contributions through publications and thesis work

01

An Empirical Survey on Explainable AI Technologies: Recent Trends, Use-Cases, and Categories from Technical and Application Perspectives

Contributed to a comprehensive paper comparing explainable AI methodologies, published in the MDPI Special Issue on Explainable Artificial Intelligence.

02

IPAssess: A Protocol-Based Fingerprinting Model for Device Identification in the IoT

Co-authored a paper detailing the development of a machine learning-based model for IoT device identification, presented at the 2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS).

03

Cross-Framework Validation of CNN Architectures: From PyTorch to ONNX

(Master's Thesis) Developing a novel layer-based methodology to establish a validation algorithm, ensuring the equivalence of ONNX-converted models with their original PyTorch models. This work addresses the critical need for seamless interoperability and robust validation within the expanding landscape of machine learning models.

04

Towards Explainable AI: Predicting Linear and Logistic Regression Algorithms from Black Box Models

(Undergraduate Thesis) Investigated reverse-engineering techniques for ML algorithms, culminating in a thesis that contributes to the demystification of black-box models in AI, enhancing the field of Explainable AI.

SKILLS

My Advantages

I bridge theory and practice to pioneer effective, innovative AI solutions.

Large Language Models
LLMs
Python
Python
Natural Language Processing
NLP
Data Visualization
Data Visualization
Machine Learning
Machine Learning
Neural Networks
Neural Networks
Amazon Web Services
AWS
Django Project
Django REST Framework
Linux
Linux
RESUME

Work Experience

Launching my AI/ML career path with innovative project contributions and dedicated mentorship in academia.

  • Niloom.ai
    (ABXR Engine)

    May, 2023 - Current

    AI/ML Engineer Intern

    Developed text-to-AR integrations, creating immersive experiences by transforming words into visual realities.

  • Florida Institute
    of Technology

    Sep, 2022 - Current

    Graduate Teaching Assistant

    Mentored over 200 undergraduates, enriching their understanding of software development and computer science principles.


My Education

Solidifying my AI/ML foundation with a Master’s in Computer Science, enriched by specialized coursework and research.

  • Florida Institute
    of Technology

    Aug, 2022 - May, 2024

    Master of Science in Computer Science

    Advancing my expertise in AI/ML through a Master’s in Computer Science, backed by specialized coursework, projects and research.

  • BITS, Dubai

    Aug, 2018 - May, 2022

    BE in Computer Science
    Minor in Data Science

    Equipped with a solid foundation in data science from my Bachelor’s in Computer Science, alongside courses in data structures, algorithms, and machine learning.

PORTFOLIO

Featured Projects

Explore my innovative projects and passion-driven creations.

portfolio
PacketGuide AI
CONTACT

Contact Me.

Let’s connect! Feel free to reach out via email or LinkedIn.
Don't forget to check out my Github!

  • linkedin [#161] Created with Sketch.
    LinkedIn

    Shreya Nandanwar

  • E-mail

    [email protected]

  • Github

    shreya-3101