Christian Fonseca
AI Engineer | Data Architect | Data Scientist
Professional Profile
About Me
Data & AI Engineer dedicated to solving enterprise challenges through advanced machine learning and cloud infrastructure. With a decade of experience across diverse industries, I specialize in automating data pipelines, deploying intelligent GenAI agents, and establishing MLOps standards. Leveraging deep expertise in Python, PySpark, and multiple cloud platforms, I consistently deliver reliable technical solutions that significantly reduce processing times and drive business growth.
GenAI, LLMs & Agents
Machine Learning & MLOps
Data Engineering & Databases
Languages
Projects
Research Projects
Brain-Computer Interface
State-funded project, focused on the creation of an essential communication system for hemiplegic patients.
- • Enhanced Brain-Computer Interface performance by 10% using advanced digital signal processing and ML algorithms.
- • Built a custom C++ user interface for brain signal acquisition based on ERP and sensorimotor rhythms.
- • Optimized EEG data acquisition and channel selection by applying Python's statistical and CSP methods.
Mining Robot
State-funded project, focused on building an autonomous robot to detect toxic gases in underground mines.
- • Improved the robotic exo-arm's movement precision by 5% by implementing Fuzzy Logic and Advanced Controllers.
- • Developed a real-time object recognition system for polygons and hand gestures using Python and OpenCV.
- • Designed and implemented robust navigation and route planning algorithms using both MATLAB and C++.
Professional Experience
AIOps Specialist
Baufest
- • Built AI chatbots for instant documentation retrieval and error analysis, reducing search and debugging time to seconds.
- • Automated Boomi documentation generation, standardizing integration artifacts and accelerating knowledge delivery.
- • Designed AI-driven unit test generation to automate validation and improve code quality and developer productivity.
- • Implemented AI video documentation that converts walkthroughs into structured docs with conversational guidance.
AI Solutions Engineer
JobLeap AI
- • Designed 10+ end-to-end data pipelines from multiple vendors using relational and vector databases.
- • Established automated testing frameworks for data pipelines, guaranteeing high reliability and superior data quality.
- • Applied advanced NLP and embedding techniques to enrich data transformations, boosting accuracy and relevance.
- • Used LangChain and LLMs to generate relevance scores and create resume and interview simulations.
Senior Data Solutions Consultant
Antamina (via TIVIT)
- • Migrated on-prem SQL to AWS RDS via DMS, enabling 3-min ingestion and cutting station refueling delays.
- • Deployed RDS monitoring with automated alerts for failures/overloads, reducing production downtime.
- • Built Databricks-based pipelines with Athena pipelines for ML-driven electricity-demand forecasts.
- • Delivered recommendation dashboards with automated stakeholder notifications, boosting operational efficiency.
Manager Data Scientist
BBVA
- • Achieved a 10% rise in debit card sales by creating a rule-based and ML-driven client profitability recommendation system.
- • Improved expert evaluation of billing accuracy by 50%, using forecasting and elasticity models in retail budgeting.
- • Boosted corporate customer acquisition by 15% through cost calculation system development.
- • Implemented the RORC threshold selection, resulting in a 5% monthly decrease in the number of high-risk clients.
Senior Data Scientist
Banco de Crédito del Peru (BCP)
- • Slashed lead evaluation time from two days to under one minute using credit-score and income forecasts.
- • Improved customer acquisition accuracy by 10% by implementing advanced customer-transaction graph modeling.
- • Cut data analysis time by 30% by designing a reusable univariate and multivariate analysis toolkit.
- • Halved model metrics tracking time by 50% through the development of an IFRS-9 scoring toolkit.
- • Evaluated models via portfolio projections to forecast shifts up to 6 months ahead.
Data Scientist
Rimac Seguros y Reaseguros
- • Halved fraud investigation times from six to three months using graph modeling for vehicle policies.
- • Drove a 20% sales increase by implementing personalized, end-to-end pricing models for vehicle insurance.
- • Slashed model pre-processing time by a factor of 20x by effectively leveraging PySpark on AWS.
- • Automated the monthly and on-demand execution of predictive models, improving both efficiency and reliability.
Application Development Associate
Accenture
- • Cut daily back-office data collection time from four hours to just ten minutes using Python.
- • Developed AI proof-of-concept business cases and custom applications across the full project lifecycle.
Consulting & Teaching
Data & AI Consultant
Coderio
- • Built an end-to-end finance system for Andes Logistics, optimizing 9-country data consolidation from days to minutes.
- • Established Banco Basa's medallion lake governance by developing data lineage and automated quality/security KPIs.
- • Engineered an ML logistics forecasting model for Santillana, saving ~$50,000 in printing by predicting quote sales.
Machine Learning Engineer
Tottus (via Sapiens Digital Lab)
- • Built Marketing Forecast pipelines and enhanced Demand models, refactoring code to automate production releases.
- • Engineered a GenAI error notification agent using Gemini and Google ADK, optimizing code for scalable integration.
- • Established MLOps standards in Vertex AI for Model Monitoring and Registry, ensuring observability of deployed models.
- • Modernized Datahub/VPX workflows and resolved CI/CD critical bugs, confirming Churn/CLV models ensuring stability.
LLM Data Scientist & Engineer
Apple (via Turing)
- • Developed over 300 reasoning notebooks for training LLMs on complex subjects like ML, robotics, and control systems.
- • Covered prompt engineering, data structures, and data science with validated code and solution steps.
- • Implemented robust QA frameworks ensuring code and reasoning correctness across hundreds of generated datasets.
- • Built content generation pipelines using OpenAI, DeepSeek, and Gemini to ensure linguistic accuracy.
Staff Data Architect
DELOSI
- • Implemented monitoring and alerting for cloud state machines, reducing review and error-handling effort by 60%.
- • Automated the backup process for over 5,000 on-premises tables to the cloud, reducing development time by over 100%.
- • Created Cloud Formation templates for new pipelines using Step Functions, Glue, Lambdas, and other AWS services.
- • Implemented over 20 different architectures for different business units.
Senior Data Scientist Consultant
Fivvy
- • Led data modeling for the "Contextual Profiler" app, leading to its acquisition by two businesses.
- • Developed a local Streamlit application to effectively visualize and present the performance of various models.
- • Formulated and deployed solvency and customer acquisition models for financial products using AWS Glue.
- • Modified complex budgetary models to accommodate new and requested functionalities within the application.
Professor
BPC Business School - La Molina National Agrarian University (UNALM)
- • Directed and taught over 10 Advanced Analytics Specialization programs, developing all course materials.
- • Successfully trained more than 100 professionals from diverse industries in data analytics and Big Data concepts.
- • Provided personalized, in-depth feedback to guide professionals in advancing their unique analytical projects.
- • Delivered specializations in Big Data & Analytics, Data Science for Business and AI for Business.
Professor
Data Mining Consulting (DMC)
- • Authored and instructed over 20 advanced analytics programs, creating all original course material for each edition.
- • Established the institutional baseline for supporting and reviewing MLOps tests and cloud deployment projects.
- • Key programs delivered include Data Engineering (AWS & Azure), MLOps & ML Engineering, Deep Learning, Time Series & NLP, Big Data, and Advanced Python (ETL, Web Scraping).
Frequently Asked Questions
Is Christian available for new projects?+
Yes. He is open to consulting, AI and data engineering projects, and advisory roles, both remote and hybrid (based in Lima, Peru, GMT-5). The fastest way to reach him is christian.fonseca.r@gmail.com or the contact form on this site.
What services does Christian offer?+
End-to-end AI and data solutions: GenAI agents and RAG systems, MLOps standards and ML pipelines, scalable cloud data architectures on AWS, Azure and GCP, and technical training for teams.
Which industries has Christian worked in?+
Banking (BBVA, BCP), insurance (Rimac), mining (Antamina), retail (Tottus, DELOSI), logistics, edtech and technology consulting across Latin America and global teams.
Does Christian work with international teams?+
Yes. He has delivered projects for companies in the US and Latin America, including global teams such as Apple (via Turing), working fluently in English and Spanish.
What makes his profile different?+
A decade of hands-on experience combining data engineering, machine learning and GenAI, backed by 21+ cloud certifications (13x AWS, 4x Azure, 4x OCI) and 5+ years teaching advanced analytics to 100+ professionals.
Ready to collaborate?
I'm available for new projects and opportunities. Let's connect and build something incredible together.