Afnan Khan

AI Researcher

Dubai, United Arab Emirates0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Developed AI solutions achieving over 96% accuracy.
Hands-on experience with advanced LLM APIs.
Expertise in machine learning and computer vision.

Stackforce AI infers this person is a Fintech-focused AI Engineer with strong capabilities in machine learning and software development.

Contact

afnankhan1663@gmail.com LinkedIn

Skills

Core Skills

Machine LearningFraud DetectionArtificial Intelligence

Other Skills

Pythonscikit-learnOCRGenerative AIHigh Performance Computing (HPC)LeadershipUrduSoftware EngineersCritical ThinkingMultithreaded DevelopmentReal-time MonitoringExpress.jsReal-time ControlKPI DashboardsProgramming Concepts

About

I am a highly motivated AI Engineer and Full-Stack Developer with 2 years of hands-on experience building and deploying production-grade intelligent systems that deliver real business impact. I specialize in Python and C#, with strong expertise in machine learning, computer vision, and generative AI, including integrating advanced LLM APIs such as OpenAI and Gemini. I have successfully developed end-to-end AI solutions—from concept and requirement analysis to deployment—across domains like fraud detection, OCR, automation, and predictive analytics. My work focuses on creating scalable, high-performance applications, optimizing system efficiency, reducing latency, and ensuring reliability in real-world environments. I thrive in fast-paced, ownership-driven roles where I can take full responsibility for delivering innovative, client-focused solutions. With experience collaborating across teams and managing complete development lifecycles at organizations like Infosys and Inventeron Technologies, I am passionate about leveraging AI to solve complex problems and drive meaningful business outcomes

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Infosys springboard

AI&ML Project Intern

Feb 2025 – Mar 2025 · 1 mo · India · Remote

As a Machine Learning Intern at Infosys Springboard, I worked on an AI-Based Fraud Management System for UID Aadhaar, where I developed and evaluated ML models using Python and scikit-learn to detect fraudulent identities. I handled data preprocessing, feature engineering, and model tuning to improve accuracy, and integrated OCR with EasyOCR to extract and validate Aadhaar document data. This experience strengthened my skills in real-world AI applications, document intelligence, and fraud detection, achieving over 96% accuracy in identifying fraudulent records.

Pythonscikit-learnOCRMachine LearningFraud Detection