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Aakash Satheeshbuilds AI, data &automation systems.

Data Science & AI graduate of the University of Sydney. I build AI and full-stack products through client-facing capstone work, document intelligence systems, IEEE research, and technical program experience.

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Portrait of Aakash Satheesh

05

IEEE Publications

20+

Technical Sessions

9.3

Undergrad CGPA

03

Institutions Recognised

01 / ABOUT

Turning messy problems into structured systems.

Early-career and deliberately curious, with a growing focus on AI applications, full-stack engineering, and data-informed product thinking.

Portrait of Aakash Satheesh
Available for opportunities

Aakash Satheesh

Master of Computer Science, Data Science & AI
The University of Sydney

Based in
Sydney, Australia
Focus
AI · Data · Automation
Graduated
July 2026

I'm an early-career technologist who enjoys turning messy problems into structured solutions, especially when the work leads to clearer decisions, better user understanding, or more capable digital tools.

I completed my Master's in Data Science & AI at the University of Sydney in July 2026, after a 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, five IEEE-style research papers, and technical program coordination experience.

01

Applied AI systems

Retrieval pipelines, agentic workflows, and document intelligence built to production patterns, not notebooks.

02

Full-stack delivery

FastAPI services, typed contracts with Pydantic, and interfaces that make model output legible to real users.

03

Research & communication

Five IEEE-indexed papers and 20+ technical sessions: the habit of explaining hard things clearly.

Core toolkit

PythonFastAPIStreamlitPydanticLangGraphFAISSDockerGemini
02 / EXPERIENCE

Operating programs, not just projects.

Experience that reflects strong fundamentals in operations, structured systems, communication, and automation.

S

ShadowFox

REMOTE

Role
Program Coordinator
Scope
Student Program Operations & Technical Enablement
Period
Jan 2024Present

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

  • 01Collaborated with the team to provide students with practical, project-based experience through a virtual internship program
  • 02Coordinated student onboarding, mentor allocation, and task progression to support structured learning throughout the internship cycle
  • 03Conducted seminars on Blockchain, AI/ML, and Data Analytics to broaden student technical exposure
  • 04Introduced a milestone-based reward initiative to improve participation, completion, and engagement within the program
Program CoordinationStudent SupportTechnical SeminarsVirtual Internship Operations
03 / SELECTED WORK

Two builds, shipped end to end.

A small but deliberate set of projects that show how I approach data, systems, and problem-solving.

safeguard-ai-market-analysis-platformSafeguard AI market analysis platform dashboard preview
01
2025

University Capstone · Client Work

Safeguard AI Market Analysis Platform

A full-stack financial market analysis platform built for a real client. A FastAPI backend and JavaScript frontend ingest OHLCV data, detect candlestick, classical, and harmonic chart patterns, generate weighted multi-horizon analysis, and surface AI-guided market explanations through an interactive dashboard.

  • Pattern engine across candlestick, classical & harmonic formations
  • Weighted multi-horizon scoring for signal confidence
  • Explainable AI commentary layered onto every detection

Outcome

End-to-end pattern detection with explainable market insight

FastAPIPythonJavaScriptHTML/CSSPydanticMarket Data APIs
View source
production-style-rag-assistantProduction-style RAG assistant project dashboard preview
02
2025

AI Engineering

Production-Style RAG Assistant

A retrieval-augmented generation assistant built to production patterns rather than notebook demos. A multi-step LangGraph workflow handles document ingestion, embedding generation, document-scoped retrieval, reranking, query rewriting, groundedness checks, and streaming responses.

  • Document-scoped retrieval with reranking and query rewriting
  • Groundedness checks before any answer is streamed back
  • Containerised FastAPI + Streamlit delivery path

Outcome

Document-grounded Q&A with streaming and retrieval orchestration

FastAPIStreamlitPydanticLangGraphFAISSDockerGeminiRAG
View source

More experiments live on GitHub.

Smaller builds, coursework, and works in progress.

Browse the repositories
04 / CAPABILITIES

The working toolkit.

Technical foundations built through coursework, capstone delivery, research, and hands-on tooling.

A

Languages

Fluent day-to-day

PythonJavaSQLJavaScriptHTML5CSS3
B

Frameworks & Libraries

Building blocks

FastAPIPydanticStreamlitLangChainLangGraphNumPyPandasMatplotlib
C

AI & Dev Tooling

Ship and operate

FAISSDockerGitGitHubMySQLAWSVercel
D

Spoken Languages

Five, comfortably

EnglishTamilHindiKannadaTelugu

End-to-end

From data ingestion to deployed interface

Typed & tested

Pydantic contracts over loose dictionaries

Explainable

Model output a human can actually audit

05 / EDUCATION & RESEARCH

Five IEEE papers across real problem spaces.

Academic work that shaped my foundation in AI, data-driven systems, and applied problem-solving.

Jul 2024 to Jul 2026

Graduated

Master of Computer Science

Specialization in Data Science & Artificial Intelligence

The University of SydneySydney, Australia

Completed July 2026

Sep 2020 to Jun 2024

B.Tech, Computer Science & Engineering

Artificial Intelligence & Machine Learning

SRM UniversityChennai, India

CGPA 9.3 / 10.0 · Major in Computer Science & Engineering

Publication showcase

Five academic papers written to IEEE standards, reflecting an interest in machine learning systems that are practical, socially relevant, and grounded in clear technical problem-solving.

05

IEEE Papers

05

Applied Domains

AI & ML applicationsProblem-driven research designIEEE-indexed publication workHealthcare · education · voice · emotion · agricultureTechnical writing & model-driven experimentation
View all publication references
01Accessible AIEnhancing Dyslexia Awareness: A ML Model for Early Identification and SupportRead on IEEE Xplore
02EdTech IntelligenceGradExplore: A Holistic Approach to Assisting Higher Studies in Overseas UniversitiesRead on IEEE Xplore
03Voice AIEnhanced AI Voice Assistance using Machine Learning and NLPRead on IEEE Xplore
04Emotion AIEmoTune: Deep Emotion Detection and Music Recommendation System using MobileNetV3Read on IEEE Xplore
05AgriTech MLAgroInsight: Sustainable Agriculture through ML-Driven Crop Recommendation and Leaf Disease PredictionRead on IEEE Xplore
06 / RECOGNITION

Invited to teach, then thanked in writing.

Formal recognition from institutions where I ran technical sessions, alongside credentials that back the fundamentals.

0+

Sessions conducted

0

Institutes recognised

0+

Learners reached

These letters cover the part of my profile that matters most to me: translating technical ideas into sessions that are accessible, relevant, and genuinely useful for learners, across Web3, Blockchain, and data analysis.

Karunya Institute of Technology and Sciences appreciation letterOctober 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 letter
SRM Institute of Science and Technology appreciation letterMarch 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 letter
VIVA Institute of Technology appreciation letterAugust 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 letter

Certifications

03 credentials

MLIntro to Machine Learning
Kaggle
SQL+Advanced SQL
Kaggle
SQLIntro to SQL
Kaggle
07 / CONTACT

Let's build something worth shipping.

Graduate role, internship, research collaboration, or just a good conversation about AI systems. I'd be glad to hear from you.

Emailmadheshakash@gmail.comLinkedInlinkedin.com/in/aakashsatheeshGitHubgithub.com/AakashAs05Phone+61 468 457 515
Currently in Sydney · Replies within a day

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