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 work in AI systems, multi-agent workflows, and enterprise automation. Each project highlights a real-world problem, the solution architecture, and measurable outcomes.
DealSentry
Built an AI-powered proposal compliance and risk analysis platform with automated document validation, approval workflows, and audit logging. Integrated LLM-based analysis with rule-based engines and enterprise tools for real-world B2B proposal operations.
Problem
Enterprise sales teams needed fast proposal validation against compliance policies without slowing down approvals.
Solution
Combined LLM-powered clause analysis with deterministic rule engines and database-driven workflows for reliable, traceable decision making.
ContentFlow AI (AI Marketing Agent)
Developed a multi-agent AI system for automated content generation, compliance validation, and multi-channel distribution. Implemented RAG-based policy checks with multilingual generation and approval workflows for enterprise marketing pipelines.
Problem
Marketing teams needed to scale content production while maintaining policy compliance and brand governance across channels.
Solution
Built modular agents for generation, retrieval, compliance, and distribution, with human approval gates and centralized orchestration.
Autonomous Executive Email Copilot
Designed an AI-driven inbox automation system with agent-based triage, decision policies, and approval mechanisms. Built deterministic evaluation pipelines with scoring, benchmarking, and telemetry for reliable performance analysis.
Problem
Executive teams needed inbox automation that was both efficient and trustworthy with clear approval controls.
Solution
Implemented policy-aware triage agents, deterministic evaluation benchmarks, and full-stack operational tooling for observability.
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