
Senior Data Scientist/ML Engineer, PhD. Deep Learning and NLP w/ Python. Google Developer Expert (GDE) in ML and GCP. Security+, GCP and AWS Certified.
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Multi-Agent-System-A2A-ADK-MCP
April 18, 2025 – April 21, 2025
Multi-Agent Systems with Google's Agent Development Kit + A2A + MCP
View ProjectGemini-RAG
February 25, 2024 – March 8, 2024
Chatbot that uses Gemini-1.0-Pro to answer questions, with memory by using LangChain. Also, it's enriched by RAG and deployed in Dialogflow
View ProjectCyberBotLLM
January 16, 2024 – January 17, 2024
4 chatbots with memory made with Langchain, VertexAI and Gemini, as a cyber challenge to capture and expose RAG content.
View ProjectRepo-2021
January 17, 2021 – September 18, 2025
Transformers, Graph Neural Networks, PySpark, Neural Cellular Automata, FB Prophet, Google Cloud, NLP codes, Ethical Hacking and C Language
View ProjectRepo-2019
January 17, 2019 – Present
BERT, AWS RDS, AWS Forecast, EMR Spark Cluster, Hive, Serverless, Google Assistant + Raspberry Pi, Infrared, Google Cloud Platform Natural Language, Anomaly detection, Tensorflow, Mathematics
View ProjectGAN-Project-2018
April 30, 2018 – May 4, 2018
GAN in Tensorflow to be run via Linux command line
View ProjectRepo-2018
December 18, 2017 – December 6, 2021
Deep Learning Summer School + Tensorflow + OpenCV cascade training + YOLO + COCO + CycleGAN + AWS EC2 Setup + AWS IoT Project + AWS SageMaker + AWS API Gateway + Raspberry Pi3 Ubuntu Core
View ProjectRepo-2017
December 17, 2016 – December 6, 2021
My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano
View ProjectRepo-2016
July 3, 2016 – December 10, 2018
R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation
View ProjectCultural Fit Analysis
The candidate's extensive personal projects demonstrate a strong passion for data science and continuous learning, which aligns well with an innovative and growth-oriented culture. The diversity of projects, from core ML/DL to cloud deployments and LLM applications, suggests adaptability and a broad interest in the field. However, the lack of team-based projects or professional experience makes it difficult to fully assess collaboration and professional communication aspects of cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a strong self-starter and learner, but direct evidence of teamwork, communication, or stress handling is absent.