- Contributing to AI/ML initiatives within CuraNova's healthcare technology environment.
- Working on Hospital Information System (HIS) development — system workflows and healthcare-focused software modules.
- Collaborating with the AI/ML team on assigned development, testing, and implementation tasks.
- Applying Python, data processing, and AI/ML concepts to healthcare use cases.
Portfolio — 2026
MOHAMMED ASAF CT
AI Data Engineer
AI/ML•Generative AI•Data•Computer Vision
Building intelligent systems and visual experiences at the intersection of AI, data, and healthcare technology — from production ML pipelines to generative visual storytelling.
How it connects
One discipline, five surfaces.
Select a node to see how it fits.
About
From dashboards to diffusion models.
I started out where most data careers do — cleaning spreadsheets, building Power BI dashboards, and wiring up cloud pipelines. Somewhere in that process, I got more interested in the model doing the thinking than the chart doing the reporting, and moved into machine learning: regression and classification problems, then computer vision and OCR systems that had to work in the real world, not just a notebook.
In parallel, I picked up an unusual second track — directing generative AI image and video output, prompt by prompt, for brand and creative projects. It's a different kind of precision: instead of tuning a loss function, you're tuning a prompt until a character stays consistent across twenty frames.
Right now, both tracks meet in healthcare technology, where I'm working on AI/ML initiatives and Hospital Information System development. I like problems where the constraint is real — a hospital workflow, a noisy image, a dataset that doesn't behave — and the solution has to actually ship.
Based in
Mankada, Malappuram, Kerala, India
Currently
AI Data Engineer @ CuraNova Global Med
Focus areas
AI/ML · Generative AI · Data · Computer Vision · Healthcare Tech
Education
B.Tech, Computer Science & Engineering
Currently building
Jun 2026 — Present
AI Data Engineer, CuraNova Global Med LLP
Working inside a healthcare technology environment on AI/ML initiatives and Hospital Information System (HIS) development — contributing to system workflows, healthcare-focused software modules, and the development, testing, and implementation work that keeps a hospital's digital backbone running.
Career
Experience timeline.
Click an entry to expand technologies, responsibilities, and measurable outcomes.
- Created AI-generated images and video content for creative and brand-focused projects.
- Developed and refined prompts for consistent characters, scenes, products, and visual styles.
- Worked on visual storytelling, image enhancement, and production-ready AI assets.
- Collaborated with the team to maintain visual consistency across deliverables.
- Developed Pandas-based data pipelines that cut data loading times by 25% and accelerated model training cycles.
- Engineered regression, classification, clustering, and deep-learning models, achieving up to 92% accuracy.
- Collaborated using Git/GitHub, Jupyter/Colab, and SQL — improved deployment efficiency by 20%.
- Led preprocessing, feature engineering, and normalization — reduced compute time by 15%.
- Produced executive-ready Power BI dashboards with RLS and mobile layouts — reduced ad-hoc reporting requests by 35%.
- Worked with Azure ML and Data Factory pipelines covering ingestion, training schedules, and monitoring.
- Analyzed and visualized 10,000+ records using Pandas, NumPy, Matplotlib, and Seaborn — improved decision-making efficiency by 25%.
- Performed data cleaning and EDA — reduced missing-value issues by 30%.
- Built automated KPI refresh pipelines with Power BI and Data Factory — shortened reporting cycles by 40% and reduced manual work by 30%.
- Delivered cloud-based data solutions — improved scalability and reduced operational costs by 20%.
Selected work
Projects.
Expand a project for the problem, the approach, and the result.
Project 01
Hospital Information System (HIS) Development
Healthcare Software · System Development · AI/ML Environment
Problem
Hospitals run on paper-adjacent, fragmented workflows that slow down staff and introduce errors in day-to-day operations.
Contribution
Contributed to system requirements, workflow implementation, testing, and development as part of a healthcare technology team building the HIS.
Result
Ongoing contribution to hospital workflow digitization within a live healthcare technology environment. (Details limited by client confidentiality.)
Project 02
Fake Product Review Detection
Machine Learning · NLP · Streamlit
10K+reviews classified
TF-IDFfeature extraction
Log. Regressioncore model
Problem
E-commerce platforms are flooded with fake reviews that distort purchasing decisions and erode trust.
Solution
Built an NLP pipeline with text preprocessing and TF-IDF, feeding a tuned Logistic Regression model with confidence scoring, validated via cross-validation and holdout tests.
Result
Classified 10,000+ e-commerce reviews as fake or real, delivered through an interactive Streamlit app with explainable indicators, dashboards, and bulk CSV detection.
Project 03
License Plate Detection System
Python · OpenCV · Tesseract OCR · Raspberry Pi
92%accuracy
1,000+images tested
<2 secavg. inference
Problem
Low-cost, portable license-plate recognition needed to run reliably outside a data center — on constrained hardware.
Solution
Engineered an image enhancement, plate-localization, and OCR pipeline (OpenCV + Tesseract), deployed lightweight on a Raspberry Pi.
Result
Reached 92% accuracy across 1,000+ images with under 2 seconds average inference time on portable hardware.
Differentiator
The AI Lab — generative work.
Alongside model-building, I direct AI image and video generation for brand and creative projects — treating prompts as a craft, not an afterthought.
Click ↻
AI Image Generation
Directed AI-generated images for creative and brand-focused projects at Peblo — iterating on style, composition, and product framing.
Click ↻
AI Video Generation
Produced AI video content with a focus on visual storytelling, pacing, and consistency across scenes.
Click ↻
Prompt Engineering
Refined prompts to keep characters, scenes, products, and visual styles consistent across an entire deliverable set.
Click ↻
Character Consistency
Solved for the hardest part of generative video — keeping a character recognizable across dozens of frames and angles.
Click ↻
Visual Storytelling
Sequenced AI-generated visuals into coherent narratives for brand and creative briefs.
Click ↻
Image Enhancement
Cleaned up and upscaled AI output into production-ready assets, iteration after iteration.
Click a tile to flip it — visual case studies to be added, placeholders shown for now.
Toolkit
Technology ecosystem.
Click a technology to see how it's actually been used.
Select a technology — click any chip above to see context from real project work.
By the numbers
Impact, in context.
0%
Accuracy
License Plate Detection
0K+
Records / Reviews
Analyzed & classified
0%
Reporting cycle reduction
Automated KPI pipelines
0%
Faster data loading
Pandas-based pipelines
0%
Deployment efficiency
Git/GitHub workflows
0%
Fewer ad-hoc reports
Power BI dashboards, RLS
0%
Lower compute time
Feature engineering
0 sec
Average inference
License Plate Detection
Foundation
Education.
B.Tech in Computer Science and Engineering
Eranad Knowledge City Technical Campus · Manjeri, Kerala
Certifications
NSDC Certified AI & ML Program
Aesthetix Edu-Tech, Ernakulam, Kerala
Building Data Analytics Application with Cloud
Edunet Foundation — AICTE Next Gen Employability Program, 2023–24
NASA International Space Apps Challenge
Galactic Problem Solver · Oct 2024
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