Hello, I'm
MOHD AFROZ ALI
ML Engineer & SDE
Translating business problems into data-driven solutions with expertise in Machine Learning, Deep Learning, and scalable software systems that deliver real business value.
Hello, I'm
ML Engineer & SDE
Translating business problems into data-driven solutions with expertise in Machine Learning, Deep Learning, and scalable software systems that deliver real business value.
Hi, I'm Afroz Ali, a results-driven ML Engineer passionate about building intelligent systems that solve real business challenges.
With a strong foundation in Information Technology Engineering, I combine technical expertise in Machine Learning, Deep Learning, Software Development, and Data Structures & Algorithms with a keen business mindset.
I'm not just a coder—I'm a problem solver who can communicate technical concepts clearly to non-technical stakeholders and collaborate effectively in cross-functional teams to deliver impactful AI solutions.
A machine learning model to detect malicious URLs by analyzing extracted features. The project has end to end ml pipeline with aws deployment . It accurately identifies phishing websites, helps prevent data theft, financial loss, and identity fraud with minimal manual effort.
Customer Segmentation with Credit Insights helps businesses personalize marketing and boost retention by analyzing credit card usage patterns. Using K-Means, DBSCAN, and PCA, it identifies meaningful customer segments from transaction data.
End-to-End ML Dashboard for Credit Risk Assessment with SHAP Explainer and deployment providing real-time credit default risk prediction with detailed explanations and feature importance to help financial institutions make informed lending decisions.
Built a End to End ML pipeline and deployed on Azure to predict student performance, enabling proactive decision-making in education through real-time analytics.
SpellSeqAI is a deep learning–powered spelling correction engine that blends pretrained NLP with a custom seq2seq model, delivering fast, accurate text corrections for scalable business applications like chatbots, form validation, and smart typing assistants.
Built an abstractive text summarizer using T5 model and Hugging Face, evaluated with ROUGE/BLEU to ensure high-quality, human-like summaries of long documents.
A CNN-based system for identifying brain diseases from medical images, assisting doctors in diagnosis.
A system that allows users to control the mouse cursor using eye movements, enhancing accessibility for individuals with disabilities.
My projects demonstrate complete implementation from research to deployment, showcasing my ability to deliver full solutions.
Each project addresses real-world problems with measurable outcomes and business value implications.
Projects showcase my ability to work across different domains and technologies, adapting to various technical challenges.
My methodology demonstrates clear planning, efficient execution, and thorough documentation—key skills for any tech role.
Key Strengths:
Strong problem-solving skills with focus on clean, maintainable code and optimal algorithmic solutions.
Key Strengths:
End-to-end ML pipeline development with focus on business impact and model interpretability.
Key Strengths:
Building scalable, production-ready ML systems with focus on reliability and reproducibility.
I'm currently seeking opportunities to apply my SDE / ML and software development skills in innovative projects. Whether you're looking to fill a role or discuss a potential collaboration, I'd love to connect!
Location
Hyderabad,India
Looking for a motivated SDE | ML Engineer who can hit the ground running? I'm available for start and eager to make an impact in team's success.