Afnan Khan
@afnankhan2
Results-driven AI/ML Engineer and Full-Stack Developer.
What I'm looking for
I am an AI/ML Engineer and Full-Stack Developer with a strong foundation in building, deploying, and optimizing intelligent applications. My hands-on experience includes developing scalable solutions in fraud detection, OCR, gesture interfaces, and crop analytics. I have successfully completed internships at Infosys and Inventeron, where I contributed to real-world production deployments.
During my internship at Infosys, I built an Aadhaar fraud detection system that increased the fraud catch rate by 23%. I also deployed machine learning classifiers through Flask REST APIs, significantly reducing processing latency. At Inventeron, I delivered classification and regression models with over 98% accuracy and automated preprocessing pipelines, which reduced training time by 40%. My projects, including a gesture-controlled virtual mouse and a web-based crop yield predictor, showcase my ability to integrate advanced technologies into practical applications.
Experience
Work history, roles, and key accomplishments
AI-Based Fraud Detection Intern
Infosys
Feb 2025 - Present (6 months)
Built an Aadhaar fraud detection system using EasyOCR and Python, which increased the fraud catch rate by 23%. Deployed ML classifiers through Flask REST APIs, reducing processing latency by 35%.
Machine Learning Intern
Inventeron Technologies
May 2023 - Present (2 years 3 months)
Delivered classification/regression models with over 98% accuracy across multiple active use cases. Reduced training time by 40% through the automation of preprocessing pipelines using Scikit-learn.
Education
Degrees, certifications, and relevant coursework
Coorg Institute of Technology
B.E., Artificial Intelligence & Machine Learning
2021 -
Grade: 8.2 / 10 CGPA
Pursued a Bachelor of Engineering in Artificial Intelligence & Machine Learning. Gained comprehensive knowledge in AI/ML concepts, algorithms, and applications.
Availability
Location
Authorized to work in
Job categories
Skills
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