ML 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 & Deep Learning
Built health prediction system with 87% accuracy (started at 71%). Working with CNNs, RNNs, and transformers for computer vision and NLP projects.
AWS Cloud
Deploying projects on EC2, S3, and Lambda. Comfortable with cloud infrastructure and inference endpoints. AWS Certified Cloud Practitioner.
AI Chatbots
Built Chatbots with Gemini API and LangChain for health queries, mental wellness, and scheduling. Learning RAG for better context handling.
Data Engineering
Data cleaning and feature engineering with Pandas and NumPy. Experienced with handling imbalanced datasets and data preprocessing pipelines.
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
Technical Stack
Technologies I've actually used in projects or coursework. Pretty comfortable with Python and the ML stack-TensorFlow, scikit-learn, Pandas. Exploring AWS. React is new for me, built one project with it so far.
Machine Learning & AI
Programming Languages
Cloud & Infrastructure (AWS)
Frameworks & Tools
Projects
A selection of projects showcasing my skills in machine learning, cloud deployment, and AI development. Each project highlights a unique problem, my approach to solving it, and the results achieved. Check out the code and demos!
LifePulse: Health Risk Calculator
Health risk prediction system using ML models and WHO guidelines. Combined TensorFlow classifiers with rule-based validation to achieve 87.1% accuracy. Analyzes lifestyle factors like BMI, blood pressure, stress levels, and sleep patterns to provide personalized health risk assessments.
Problem
Wanted to build something that could give people health insights without needing expensive lab tests or equipment. Also needed a portfolio project for internship applications.
Solution
Started with just a TensorFlow classifier in June - accuracy was terrible at 71%. Spent two weeks trying different architectures before realizing the issue. Added WHO rules as a validation layer. Hybrid approach brought it to 87.1%.
DealSentry: Intelligent Proposal Guard
AI compliance platform for sales proposals. Validates documents, scores risk, and manages approval workflows with audit trails. Integrates with CRM systems and uses Azure OpenAI to analyze contract clauses, detect policy violations, and provide intelligent risk assessments before client submission.
Problem
Sales teams need to validate proposals against compliance rules and company policies before sending to clients, but manual review is slow and error-prone.
Solution
React/TypeScript frontend with Node.js backend. Rule-based compliance engine combined with Azure OpenAI for intelligent risk analysis. PostgreSQL for data persistence, document processing pipeline for DOCX/PDF extraction.
LabLingo AI: Language Learning Platform
AI language learning platform with speech recognition and pronunciation scoring. Used Whisper for speech-to-text and built phoneme comparison for pronunciation feedback. Features adaptive lesson difficulty, instructor dashboards for tracking student progress, and supports multiple languages with real-time feedback on speaking accuracy.
Problem
Language learners need speaking practice and pronunciation feedback, but 1-on-1 tutors are expensive and scheduling sucks.
Solution
Real-time speech-to-text with Whisper, phoneme extraction and comparison for scoring, adaptive lessons based on performance. Built instructor dashboards for progress tracking.
Professional Journey
My journey in AI and software engineering, from internships to professional roles.
AI Engineer Intern
AI LifeBOT
Jan 2026 – Present
- ▸Built and deployed 3+ production LLM applications and AI agents serving 200+ users with tool integration and memory
- ▸Architected AI pipelines with LLMs, vector databases, and APIs, reducing latency through optimized caching
- ▸Led rapid prototyping of AI solutions with weekly technical reviews and production documentation
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
Focused on electronics, communication systems, and embedded technologies.
Minor in Artificial Intelligence and Machine Learning
Shri Ramdeobaba College of Engineering and Management
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
Learned ML concepts and how AWS SageMaker works. Course project involved training a classifier on AWS.
NCC 'C' Certificate
National Cadet Corps
Batch 2023-2026
Leadership, discipline, and teamwork development through active NCC training and drills. Completed advanced training and obtained 'C' certificate.
GitHub Stats
Real-time statistics and contributions
GitHub Stats
Contribution Calendar
Let's Connect
Looking for ML engineering internships for summer 2026. Also down to chat about projects, especially if you're working on something with AI Agents.
Direct contact:
rogerdemello289@gmail.com