Saakshi Gupta

AI Enthusiast

Adelaide, Australia

About Me

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I'm a AI Enthusiast focused on LLM agents, RAG and multimodal AI. I build scalable services and multi-agent architectures that automate workflows and deliver measurable impact.

I hold a Bachelor's Degree in Software Engineering with a Data Science minor from the University of Queensland, where I was a recipient of the UQ Global Connect Scholarship.

My work spans deepfake detection research, generative AI systems, and multimodal content analysis. I'm passionate about building AI systems that are both powerful and explainable.

Python

Java

JavaScript

C/C++

React

Node.js

TypeScript

CSS

AWS

S3, Nova API, Lambda

Git

Linux

Bash

ML & AI

🔥

PyTorch

🧠

TensorFlow

🤗

Hugging Face

🖼️

CNNs

⚡

Transformers

💬

LLMs

👁️

Computer Vision

🎯

YOLO

📷

OpenCV

LLM Frameworks

🔗

LangChain

🕸️

LangGraph

🦙

LlamaIndex

🤖

OpenAI API

🧬

Claude

👥

CrewAI

⚙️

AutoGen

Experience Preview

CSIRO's Data61Undergraduate Researcher

Jun 2024 - Jul 2025

Created a multimodal deepfake analysis system integrating CNN/Vision Transformer detection, explainable AI techniques (SHAP, LIME), and image-to-text captioning with CLIP and attention mechanisms.

PyTorch Deep Learning Computer Vision LLMs

LINQIAGenerative AI Engineering Intern

Jan 2025 - Feb 2025

Led development of algorithms analyzing millions of creator profiles and matching content styles with brand campaign requirements using advanced NLP and computer vision techniques.

NLP Computer Vision LLMs Machine Learning

University of QueenslandResearch Intern

Jan 2025 - Feb 2025

Developed software tools to track and analyse energy-project trends using AEMO data. Designed ML approaches for energy transition model calibration, reducing estimation errors by ~15%.

Python Machine Learning Data Analysis

Projects Preview

📊

FinGraphRAG Portfolio Risk & Market Analysis

A comprehensive GraphRAG system for portfolio risk and market analysis, combining vector search with knowledge graph reasoning to provide explainable financial insights.

GraphRAG Neo4j Qdrant FastAPI React Python

📈

FutureVest Stock Analysis | CSSE6400

A web-based stock analysis platform helping investors value stocks and discover growth opportunities with screening, watchlists, alerts, and technical analysis tools.

React TypeScript Flask AWS Docker

🤝

Co-Founder Matching UQ Ventures | DECO3801

A mobile app connecting entrepreneurs with potential co-founders using a multi-factor matching algorithm evaluating skills, interests, goals, and collaboration style.

React Native TypeScript Flask Supabase Docker

🔍

DF-P2E: Deepfake Detection CSIRO Research

Created a multimodal deepfake analysis system integrating CNN/Vision Transformer detection with explainable AI techniques and LLM-powered forensic insights.

PyTorch Vision Transformers SHAP LIME Llama 3.1

Publications

DF-P2E: Deepfake – Prediction to Explanation

ACM Multimedia 2025

Saakshi Gupta, et al.

Contributed to a multimodal, explainable and interactive deepfake detection framework for non-expert users. The system integrates visual saliency maps, image captioning and narrative explanations to make AI decisions transparent.

View Preprint →