Hi, I'm Aakash Satheesh.
I'm Exploring AI, Data
& Automation.
Master's student in Data Science & AI at the University of Sydney, building AI and full-stack projects through client-facing capstone work, document intelligence systems, research, and technical program experience.
5+
IEEE Papers
2+
Featured Projects
9.3
CGPA
20+
Tech Sessions
5+
IEEE Papers
2+
Featured Projects
9.3
CGPA
20+
Tech Sessions
About Me
Early-career and curious, with a growing focus on AI applications, full-stack systems, and data-informed product thinking.
Aakash Satheesh
Master's Student — DS & AI
University of Sydney
Hi! I'm Aakash,
an early-career technologist who enjoys turning messy problems into structured solutions. My interests sit at the intersection of AI, data, and product-building, especially when the work leads to clearer decisions, better user understanding, or more capable digital tools.
I'm currently pursuing a Master's in Data Science & AI at the University of Sydney after completing my B.Tech in CSE with a specialization in AI & ML. My recent work includes a client-facing financial analysis capstone, a production-style RAG assistant, IEEE-style research papers, and technical program coordination experience.
My Tech Stack:
Current Focus
Master's in Data Science & AI
The University of Sydney
AI applications, research, and full-stack builds
Building practical experience through capstone work, RAG systems, and publications
Experience
Experience that reflects strong fundamentals in operations, structured systems, communication, and automation.
ShadowFox
Student Program Operations & Technical Enablement
Program Coordinator
At ShadowFox, I supported a virtual internship program by helping coordinate student onboarding, mentor alignment, communication, and learning flow across project-based cohorts. The role strengthened my skills in program operations, technical communication, student support, and presenting emerging topics such as AI/ML, Blockchain, and Data Analytics in a structured learning environment.
Key Contributions
- Collaborated with the team to provide students with practical, project-based experience through a virtual internship program
- Coordinated student onboarding, mentor allocation, and task progression to support structured learning throughout the internship cycle
- Conducted seminars on Blockchain, AI/ML, and Data Analytics to broaden student technical exposure
- Introduced a milestone-based reward initiative to improve participation, completion, and engagement within the program
Tools & Technologies
Recent Projects
A small but meaningful set of projects that show how I approach data, systems, and problem-solving.
Safeguard AI Market Analysis Platform
Built a full-stack financial market analysis platform for a client as part of my university capstone project. Developed a FastAPI backend and JavaScript frontend that ingest OHLCV data, detect candlestick, classical, and harmonic chart patterns, generate weighted multi-horizon analysis, and provide AI-guided market explanations through an interactive dashboard.
Production-Style RAG Assistant
Built a production-style Retrieval-Augmented Generation assistant using FastAPI, Streamlit, Pydantic, LangGraph, FAISS, Docker, and Gemini models. Designed a multi-step workflow for document ingestion, embedding generation, document-scoped retrieval, reranking, query rewriting, groundedness checks, and streaming responses for document-grounded question answering.
Skills & Expertise
Technical foundations I'm building through coursework, projects, research, and applied tools.
Programming Languages
Frameworks & Libraries
AI / Dev Tools
Languages
Education & Research
Academic work that shaped my foundation in AI, data-driven systems, and applied problem-solving.
Master of Computer
Specialization in Data Science & Artificial Intelligence
Current postgraduate program
B.Tech in Computer Science & Engineering
Artificial Intelligence & Machine Learning
CGPA: 9.3 / 10.0 • Major in Computer Science & Engineering
Five IEEE papers across real-world AI problem spaces.
Completed 5 academic research papers following IEEE standards across AI, machine learning, and data-driven systems. These papers reflect my interest in building machine learning systems that are practical, socially relevant, and grounded in clear technical problem-solving.
5
IEEE Papers
5
Applied AI Domains
Enhancing Dyslexia Awareness: A ML Model for Early Identification and Support
GradExplore: A Holistic Approach to Assisting Higher Studies in Overseas Universities
Enhanced AI Voice Assistance using Machine Learning and NLP
EmoTune: Deep Emotion Detection and Music Recommendation System using MobileNetV3
AgroInsight: Empowering Sustainable Agriculture through Machine Learning-Driven Crop Recommendation and Leaf Disease Prediction
Appreciation Letters & Certifications
Formal recognition from institutions where I conducted technical sessions, alongside certifications that strengthen my AI and data foundations.
Beyond Coursework
Recognized by multiple institutions for delivering technical sessions that students found practical, timely, and memorable.
These appreciation letters reflect a part of my profile that matters deeply to me: translating technical ideas into sessions that are accessible, relevant, and genuinely useful for learners. Across topics like Web3, Blockchain, and data analysis, I've been invited as a resource person and formally acknowledged for the value of those sessions.
0+
Sessions Conducted
3
Institutes Recognized
0+
Learners Reached
October 2024
Web3: The Next Evolution of the Internet
Karunya Institute of Technology and Sciences
Division of Electronics and Communication Engineering
Recognized as a Resource Person for a technical seminar focused on Web3 and the future of internet technologies.
View Appreciation Letter
March 2026
Data Analysis in the Social Sciences (Python/R)
SRM Institute of Science and Technology
International Virtual Seminar
Appreciated for delivering a session under a one-week international seminar on emerging computer science technologies for innovative learning and teaching.
View Appreciation Letter
August 2024
Web 3.0 and Blockchain
VIVA Institute of Technology
Computer Engineering Students
Received a formal appreciation letter for conducting a motivating and informative webinar for second, third, and fourth year students.
View Appreciation LetterCertifications
Supporting credentials in machine learning and SQL
Intro to Machine Learning
Kaggle
Advanced SQL
Kaggle
Intro to SQL
Kaggle
Get in Touch
If you have a graduate role, internship, collaboration idea, or just want to connect, I'd be glad to hear from you.