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Roger Richard Demello

Machine Learning Engineer

AI×Cloud×AWS

Building intelligent AI systems and deploying scalable ML models on cloud infrastructure.

Machine LearningDeep LearningAWS CloudPython & C++
Projects
About Me

Machine Learning Engineer & Cloud Specialist

I specialize in developing intelligent AI systems and deploying scalable machine learning models on cloud infrastructure. With expertise in Python, TensorFlow, and AWS, I transform complex data challenges into production-ready solutions.

ML Problem Solver

Designing and implementing machine learning models to solve real-world problems with 85%+ accuracy

Cloud Deployment

Building scalable AI systems on AWS infrastructure with EC2, S3, Lambda, and RDS

Data-Driven

Transforming complex datasets into actionable insights using TensorFlow, Scikit-Learn, and Pandas

Core Competencies

Machine Learning

  • Supervised & Unsupervised Learning
  • Neural Networks & Deep Learning
  • Model Optimization & Evaluation
  • Feature Engineering & Selection

Cloud Infrastructure

  • AWS EC2, S3, Lambda, RDS
  • Scalable Architecture Design
  • Auto Scaling & Load Balancing
  • IAM & Security Best Practices

Development

  • Python, C++, Data Structures
  • FastAPI, Flask, RESTful APIs
  • Git, CI/CD Pipelines
  • Object-Oriented Programming
Skills & Expertise

Technical Arsenal

Comprehensive toolkit for building and deploying production-ready AI solutions

Machine Learning & AI

TensorFlow
Scikit-Learn
PyTorch
Keras
Pandas
NumPy
OpenCV

Programming Languages

Python
C++
C
Java

Cloud & Infrastructure (AWS)

AWS EC2
AWS S3
AWS Lambda
AWS RDS
IAM & VPC

Frameworks & Tools

FastAPI
Flask
Git
Also proficient in:OOPDSADBMSOSREST APIsCI/CDLinux
Portfolio

Featured ML Projects

Production-ready AI systems showcasing machine learning expertise and cloud deployment

LifePulse: AI Health Monitoring System

Smart Health Calculator analyzing user lifestyle and body data with 87.1% accuracy in detecting lifestyle risks. Combined AI models with rule-based logic to assess sleep patterns, activity levels, and dietary habits aligned with WHO guidelines.

Problem

Need for accessible, accurate health risk assessment without expensive medical equipment

Solution

Hybrid AI approach combining machine learning models with WHO-aligned rule-based logic

Key Results

87.1% accuracy in multi-disease prediction
Real-time health risk assessment
PythonTensorFlowScikit-LearnPandas

Cartoonize: Photo-to-Cartoon Art Transformer

Full-stack application converting photos into high-quality cartoon artwork using advanced OpenCV pipelines and optional neural style transfer. Features FastAPI backend with LAB color quantization, multi-pass bilateral filtering, and multi-method edge detection.

Problem

Complex image stylization requiring balance between artistic quality and computational efficiency

Solution

Multi-stage OpenCV pipeline with optional PyTorch neural style transfer for enhanced results

Key Results

Advanced denoising and color quantization
Robust edge detection and stylization
FastAPIPythonOpenCVNumPy

LabLingo AI: Interactive Language-Learning Platform

AI-driven multimedia language lab for real-time spoken practice, pronunciation scoring, adaptive lessons, and instructor analytics. Real-time STT/TTS conversation exercises with automated pronunciation scoring and adaptive lesson pipelines.

Problem

Learners need realistic speaking practice, instant feedback on pronunciation, and contextual examples—without requiring live tutors

Solution

Real-time STT/TTS conversation exercises, automated pronunciation scoring, adaptive lesson pipelines, and instructor dashboards for monitoring progress

Key Results

Real-time speech-to-text and text-to-speech for conversational drills
Phoneme-level pronunciation feedback and confidence scores
FastAPIReactWhisperPyTorch
Experience & Credentials

Professional Journey

Continuous learning and hands-on experience in AI, ML, and Cloud technologies

Machine Learning Intern

CFM, RCOEM

May 2025 – July 2025

  • Enhanced ML-based tool to predict sleep disorders using lifestyle and health data
  • Attained 87% accuracy in predictions analyzing stress, sleep duration, and blood pressure
  • Utilized Python, Scikit-Learn, and Pandas for model development and data analysis

AWS Cloud Computing Training

RCOEM

March 2025 - April 2025

  • Gained hands-on experience with core AWS services: EC2, S3, RDS, IAM, VPC, and CloudWatch
  • Designed and deployed scalable web application architecture using Auto Scaling and Load Balancer
  • Implemented secure access management with IAM roles, policies, and multi-factor authentication (MFA)

Education

B.Tech in Electronics and Communication

Shri Ramdeobaba College of Engineering and Management

Nov 2022 – May 2026CGPA: 8.73

Focused on electronics, communication systems, and embedded technologies.

Minor in Artificial Intelligence and Machine Learning

Shri Ramdeobaba College of Engineering and Management

May 2023 – Dec 2025CGPA: 9.5

Specialized coursework in AI, ML algorithms, deep learning, and data science.

Certifications

AWS Certified Cloud Practitioner

Amazon Web Services

October 2025

Validated foundational knowledge of AWS Cloud services, security, and architecture best practices.

Introduction to Machine Learning on AWS

Coursera/AWS

July 2025

Comprehensive understanding of ML concepts and implementation using AWS services like SageMaker.

NCC 'A' and 'B' Certificate

National Cadet Corps

2024-2025

Leadership, discipline, and teamwork development through active NCC training and drills.

GitHub Activity

Real-time statistics and contributions

GitHub Stats

GitHub Stats

Contribution Streak

GitHub Streak

Most Used Languages

Top Languages
Get In Touch

Let's Connect

Interested in collaboration or have questions? Feel free to reach out.