I'm currently a PhD student at Computing Research Center, from Instituto Politécnico Nacional, in México. My current research interests include, in no specific order:
- Brain Computer Interfaces
- EEG Signal Processing
- Deep Learning
- Machine Learning
- Explainable AI
- Natural Language Processing
- Computational Cognitive Science
I work as an AI/ML engineer and Data Scientist, designing and delivering Generative AI solutions for enterprise clients. My projects typically involve architecting end-to-end pipelines on AWS, from ingestion and retrieval to inference and deployment.
Some of the problems I work on:
- RAG pipelines for document-grounded Q&A and semantic search (NL2SQL, knowledge base retrieval)
- Conversational AI agents powered by Amazon Bedrock, including multi-turn chatbots and voice-to-voice agents
- Multi-tenant architectures with authentication, RBAC, and session isolation
- Async event-driven systems using decoupled microservices patterns
- Scoping and delivering projects through structured Statements of Work across PoC and MVP phases
- AI/ML: Amazon Bedrock (Agents, Knowledge Bases), Amazon Connect
- Compute: AWS Lambda, Amazon EC2, Amazon ECS (Fargate)
- Messaging & Async: Amazon SQS
- Storage & Search: Amazon S3, Amazon OpenSearch Service, Amazon DynamoDB
- Auth & Security: Amazon Cognito, AWS IAM, AWS Secrets Manager
- Networking & Delivery: Amazon CloudFront, Amazon API Gateway, VPC
- Observability: Amazon CloudWatch, AWS CloudTrail
- Python
- PyTorch
- Keras
- Tensorflow
- Scikit-learn
- Numpy
- Pandas
- MNE
- Seaborn
- Matplotlib
- C/C++
- Linux
- Matlab


