Moshe Ojeda Dejo

Generative AI ⋅ MLOps ⋅ LLMOps ⋅ Teaching

Engineer Lead driving a team focused on building Generative AI solutions.

We advance automation and user engagement by strategically integrating GenAI into key areas of the company. By leveraging partnerships with external AI providers, I ensure our efforts are tightly aligned with company objectives. My leadership is centered on mentoring team members, encouraging innovative thinking, and enhancing our technical expertise. I support my team by trusting them and providing opportunities to expand their responsibilities, driving us to continually push the boundaries of our ML/AI projects.

Located in Lima, Peru. Feel free to reach out to me via email at moshefabricio@gmail.com or connect with me on LinkedIn.

Professional Experience

Engineer Lead, Generative AI at Rappi

JANUARY 2024 - Present

• Leading a dedicated team of four, including Data Scientists and MLEs, to set project backlogs and provide technical guidance.
• Applied advanced AI-driven automation strategies, leading to substantial cost savings and financial consolidation at Rappi.
• Managed relationships with top-tier GenAI providers, ensuring integration and alignment with Rappi’s strategic goals.
• Developed and deployed advanced Retriever-Augmented Generation (RAG) systems.
• Simplified generative workload deployment by automating infrastructure setup, cutting time-to-production for language chains.
• Designed and developed LLM Agents using a graph-like architecture, employing advanced tooling to trigger various actions dynamically.

Key achievements:

• Led transformative generative AI projects, boosting efficiency and innovation across departments.
• Enabled access to advanced AI tools, impacting Rappi’s financial strength, with over 10 projects utilizing our services.

Teacher at CIBERTEC

DECEMBER 2023 - Present

• Instructed a bootcamp on Generative AI and Prompt Engineering, focusing on practical applications of Large Language Models (LLMs) in real-world scenarios.
• Co-created and taught a new course that incrementally guides students from foundational concepts to building a full MVP, incorporating LLMs, vector databases, and MLOps with hands-on projects.
• Developed and continuously updated engaging content that blends theory with practice, ensuring learners gain practical skills while staying current with the latest AI and tech advancements.

Machine Learning Engineer at Rappi

JANUARY 2022 - DECEMBER 2023

• Led an initiative focused on supporting LLM-based projects while also crafting an infrastructure platform to enable cutting-edge design patterns and solutions within the LLM field.
• Developed solutions that personalize product assortments to enhance engagement and satisfaction. Leveraged Airflow and Kubernetes to author automations that train machine learning models.
• Designed and implemented high-traffic APIs (Go) to deliver on-line recommendations. Conducted A/B experiments and data analysis on user groups to support evidence-based decision making.

Key achievements: Boosted CTR over 30% using recommendation systems. Constructed real-time engine for multi-model personalization support across teams that was featured in an AWS Case Study.

• Case study article on AWS
• Case study podcast on Spotify

Consolidated Experience at Belcorp

Roles: Data Scientist, Data Engineering Consultant (Inetum), Data Science Intern Timeline: OCTOBER 2019 - JANUARY 2022

• As a Data Scientist, developed a predictive model for forecasting product tone preferences, improved recommendation systems with PySpark, and contributed to a custom data science framework design.
• During my tenure at Inetum, automated and optimized big data pipelines in Apache Spark, developed ETL processes, and enhanced a recommendation model workflow.
• As an Intern, supported customer segmentation, conducted EDA, feature engineering, and maintained regression models.

Key Achievements:

• Boosted forecasting accuracy and operational efficiency.
• Streamlined and automated processes, enhancing system and model performance.

For full details, refer to the Experience.

Skills

Professional Skills & Experiences

Programming & Development

• Python: 5+ years, versatile applications including data pipelines, ML models, APIs, and app development.
• SQL: 5+ years, key for data exploration, ETL pipelines, optimizing workloads.
• Shell: 4+ years, used for DevOps, automation, system administration.
• Go: 2 years, for high-traffic APIs, leveraging concurrency and modules.
• Other Languages: R for data analysis and visualization and PHP for backend development with Laravel.

Machine Learning & Python Libraries

• Extensive Machine Learning skills: LLMs, NLP, AutoML, recommender systems, forecasting, supervised and unsupervised learning, dimensionality reduction.
• Proficient in Python libraries: NumPy, Pandas, PySpark, Seaborn, FastAPI, Scikit-learn, Keras, FBProphet, NLTK, Spacy, Beautiful Soup, Scrapy, NetworkX.

MLOps, Data Engineering & Cloud Services

• Data Integration: Airflow for data pipelines, Astronomer Academy certification.
• Machine Learning Infrastructure: Google VertexAI. AWS solutions like Amazon Personalize, Sagemaker, EMR, and Lambda for ML products.
• Data Management: Snowflake, Redshift, Redis, Amazon Kinesis, DynamoDB.
• Compute Services: Amazon EC2, ECS, Lambda, S3, SNS, SQS, Amplitude.

Soft Skills

• Collaborative Teamwork: I foster a culture of mutual support, where team members uplift and collaborate to achieve our goals.
• Ownership and Long-Term Vision: I take responsibility for our organization’s overarching objectives, aligning my efforts with a long-term vision.
• Lead by Example: I exhibit leadership through my actions, taking a hands-on approach and surrounding myself with top talent to ensure our team’s success.
• Effective Team and Corporate Communication: Proficient in facilitating clear and collaborative communication within teams and across organizational structures.
• Agile Execution and Learning: I exhibit a bias towards action, embracing experimentation, and continually seeking opportunities for growth and improvement.

Education

Informatics engineering degree

Lima, Perú. 2015 - 2022

Pontificia Universidad Católica del Perú (PUCP)

Exchange student, SMILE program

Prague, Czech. 2019

Czech Technical University

Micro-master in Statistics and Data Science

Online. 2020 - 2022

MITx on edX

Courses & Certifications

• Prompt Engineering for Developers
  DeepLearning.AI - 2023

• Astronomer Certification DAG Authoring for Apache Airflow
  Astronomer Academy - 2023

• Go intermediate: Object-oriented programming and concurrency
  Platzi - 2022

• 6.86x: ML with Python - From Linear Models to Deep Learning
  MITx in edX - 2021

• 6.431x: Probability - The Science of Uncertainty and Data
  MITx in edX - 2021

• 14.310x: Data Analysis for Social Scientists
  MITx en edX - 2021

• Tableau 10 Essential Training
  LinkedIn Learning - 2020

• Tableau 10: Mastering Calculations
  LinkedIn Learning - 2020

• Scrum: The Basics
  LinkedIn Learning - 2019

• Data Visualization: Storytelling
  LinkedIn Learning - 2019

• Data Visualization Tips and Tricks
  LinkedIn Learning - 2019

Languages

Spanish

My native language.

English

Proficient in both oral and written communication with extensive experience, including an Advanced Level Certificate obtained from Instituto Cultural Peruano Norteamericano. I’ve further honed my skills through additional training, having successfully completed a reading and writing course at DePaul University in Chicago, Illinois.