KEVIN · Senior Python / ML Engineer · 5+ yrs
Mid-LevelProof of scale
About KEVIN
Kevin is a ML Engineer with 5+ years of experience in developing and deploying machine learning models and AI solutions. He has a strong background in Python, C++, and generative AI technologies, with proven success in healthcare and SaaS domains.
5+ years of commercial experience in
Skills(33)
Why hire KEVIN?
Increased Customer Retention by 12.7% through a predictive model with an F1-Score of 85%.
Achieved 95% Accuracy in generating and visualizing pink Nitrogen Plasma using OpenCV techniques.
Reduced Network configuration latency by 50%, enabling faster and more responsive real-time network setups.
Maintained system stability with zero critical failures reported over a six-month period.
Project highlights(9)
Doctor-Patient Collaboration Platform – Developer
Overview: Developed a SAAS platform for doctors to provide prescriptions with speech-to-text analysis. Responsibilities: Utilized the Deepgram API to convert speech into text and tailored a model for healthcare-specific response generation. Implemented FastAPI and socket programming for frontend integration.
Key outcomes:
Developed a SAAS-based platform for doctors to provide verbal prescriptions and details.
Hair Loss Classification and Detection – Developer
Overview: Developed a system leveraging deep learning and image processing to diagnose hair conditions from varied angles. Responsibilities: Utilized CNN and ResNet 152 models, achieving 97% accuracy for no hair loss cases. Implemented privacy measures by blurring facial features for user anonymity before storing images in S3.
Key outcomes:
Achieved 97% accuracy for no hair loss cases using CNN and ResNet 152 models.
Melanoma Cancer Detection – Developer
Overview: Implemented an end-to-end Machine Learning pipeline for melanoma cancer detection, using generated images. Responsibilities: Constructed CNN models with Data Augmentation and hyper-parameter tuning to reduce overfitting.
Key outcomes:
Achieved 81% Accuracy and 87% Recall for melanoma image classification.
Youtube Comments Analyser – Developer
- Integrated various APIs to identify next video ideas, summarize content, and analyze comments for humor/tone.
- Performed sentiment analysis and generated content summaries using OpenAI integration.
- Identified negative and positive comments, and checked humor and tone scores using NLP techniques.
Key outcomes:
Analyzed YouTube comments using sentiment analysis and OpenAI for content summarization.
Identified negative/positive comments and assessed humor/tone scores.
Personalised Product Recommendations – Developer
- Developed an application to show personalized products based on user input and similar product images.
- Displayed personalized products based on user input like size, color, and location.
- Featured similar product recommendations based on a given input image.
Key outcomes:
Developed an application for personalized product recommendations based on user input and images.
Industry experience
AI / ML Platform
8 projects- •Doctor-Patient Collaboration Platform— DeveloperPython · Deepgram · FastAPI
- •Hair Loss Classification and Detection— DeveloperDeep Learning · CNN · ResNet152 · AWS +2
- •Melanoma Cancer Detection— DeveloperDeep Learning · CNN · DALL-E 2 · Machine Learning +1
- •Youtube Comments Analyser— DeveloperNLP · Text PreProcessing · NER · LDA Topic Modelling +4
- •Arabic Text Extraction (OCR)— DeveloperEasyOCR · PyTesseract · NLP · Python
- •Melanoma Cancer Detection— DeveloperDeep Learning · CNN · DALL-E 2 · Data Augmentation +2
- •Remote Control and Operation of Gas Discharge Experimental Devices— DeveloperIoT · Machine Learning · Raspberry Pi · OpenCV +2
- •Student Visa Application— DeveloperPython · Django REST framework · AWS · Data Visualisation +4
HealthTech
1 project- •Doctor-Patient Collaboration Platform— DeveloperPython · Deepgram · FastAPI
EdTech
5 projects- •Hair Loss Classification and Detection— DeveloperDeep Learning · CNN · ResNet152 · AWS +2
- •Melanoma Cancer Detection— DeveloperDeep Learning · CNN · DALL-E 2 · Machine Learning +1
- •Melanoma Cancer Detection— DeveloperDeep Learning · CNN · DALL-E 2 · Data Augmentation +2
- •Remote Control and Operation of Gas Discharge Experimental Devices— DeveloperIoT · Machine Learning · Raspberry Pi · OpenCV +2
- •Student Visa Application— DeveloperPython · Django REST framework · AWS · Data Visualisation +4
SaaS / B2B
2 projects- •Doctor-Patient Collaboration Platform— DeveloperPython · Deepgram · FastAPI
- •Student Visa Application— DeveloperPython · Django REST framework · AWS · Data Visualisation +4
At a Glance
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Typically responds within 4 business hours.
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KEVIN
ML Engineer