01 / OVERVIEWBuilding at the intersection of AI & human safety

Turning complex ideas into useful technology.

I'm Ahmed, an AI engineer and founder working on conversational scam detection, applied machine learning, and tools that help people make safer decisions.

My work moves between research, product development, and education. I build systems, study how they perform, and make technical ideas understandable to the people who use them.

03Conference papers
16Peer reviews completed
70+Countries reached through teaching

02 / EXPERIENCE

Where I've worked.

May 2026 — Present

Founder

ConvoSatya LLC

Founded the company and led development of FAUST, a conversational scam detector, and OSM (One-Man Social Media).

Visit ConvoSatya
Aug 2024 — May 2026

Graduate Research Assistant

University of New Haven

Conducted applied research in machine learning and AI and published two conference papers during the assistantship.

Jul 2023 — Oct 2023

Data Scientist

Startell

Developed and evaluated predictive models for audience analysis, forecasting, and brand–influencer matching on large-scale social media data.

Jan 2023 — Jul 2023

Web Developer

Canvas Developers

Delivered 50+ full-stack projects across web, mobile, AI, and digital solutions, working directly with clients to turn requirements into products.

03 / PROJECTS

What I'm building.

01 / CONVOSATYA

FAUST

AI scam detection that follows full conversations across text, images, and video to flag suspicious patterns as they develop.

Explore FAUST
02 / CONVOSATYA

OSM

A private AI social feed where personality-driven agents respond to your posts and turn ideas into discussion.

Explore OSM

04 / PUBLICATIONS

Ideas in print.

Conference papers

2024

Predicting Audience Interests from Social Media Captions Using a Semi-Supervised Approach

First author · IEEE Xplore

Conference
2024

Exploring the Use of Machine Learning and Non-Radial DEA for Transit Efficiency Score Prediction

Third author · IEEE Xplore

Conference
2022

Premature Birth Prediction Using Machine Learning Techniques

Third author · Springer

Conference

Peer review service · Pattern Recognition (12 reviews) and Expert Systems with Applications (4 reviews).

05 / EDUCATION

The foundation.

2024 — 2026

M.S. in Data Science

University of New Haven

GPA 3.92 / 4.00 · Provost's Assistantship

2018 — 2022

B.S. in Computer Science and Engineering

North South University

GPA 3.69 / 4.00

06 / TEACHING

Learning works both ways.

Teaching has been a consistent part of my work, from university classrooms to one-on-one coding instruction.

Aug 2025 — Dec 2025

Graduate Teaching Assistant

University of New Haven

Supported DSCI 6600 Intro to AI through office hours, project guidance, grading, and examination support.

Sep 2023 — Aug 2024

Senior Coding Instructor

Codingal

Delivered one-on-one and small-group instruction to students from more than 70 countries, adapting lessons to different skill levels.

Jan 2022 — Jan 2023

Undergraduate Teaching Assistant

North South University

Supported CSE 332 Computer Organization and Architecture through office hours, project guidance, grading, and examinations.

07 / EXPERTISE

What I bring to the table.

01

Applied machine learning

Predictive modeling, evaluation, and research across social media, healthcare, and transportation.

02

AI product development

Turning research into usable systems, with current work focused on conversational safety.

03

Full-stack delivery

Building digital products from client requirements through implementation.

04

Research & communication

Publishing, peer review, teaching, and making technical work accessible.

08 / CONTACT

Let's make something matter.

For research, product collaborations, or a thoughtful conversation, I'd love to hear from you.

aos.adnan98@gmail.com