Edson Amos Luna Ticlavilca
Lima
Summary
Results-driven Senior AI/ML Engineer & Technical Lead with 5+ years of experience designing, building, and delivering AI-powered solutions that solve complex business challenges and drive measurable impact. I combine a strong foundation in software engineering, machine learning, and cloud architectures to develop scalable, production-ready systems that transform ideas into real-world results.
Passionate about innovation, ownership, and end-to-end delivery, I thrive in dynamic environments where I can take projects from 0 to 1 — defining strategy, leading cross-functional teams, mentoring engineers, and translating business needs into high-value, data-driven solutions.
I don’t just write code — I own problems, align solutions with business goals, and deliver products that create tangible impact at scale.
Overview
6
6
years of professional experience
Work History
Senior AI Engineer
Encora
02.2025 - Current
- Architected and led the design of a cloud-native, event-driven microservices ecosystem on Azure, leveraging serverless patterns, SAGA orchestration, Domain-Driven Design and Clean Architecture to deliver scalable, fault-tolerant, and resilient distributed systems.
- Built reusable AI-powered microservices (MCP Oriented) for media processing - Audio, Video, Images, Documents (FFMPEG, Azure Speech, GPT-4o for summarization), ensuring high-performance APIs with strict contract definitions (Swagger/OpenAPI) and applying design patterns for maintainable and extensible codebases.
- Designed and deployed an AI multi-agent orchestration prototype using Azure Semantic Kernel and a hierarchical agent architecture, enabling agents to trigger microservices, query CosmosDB, perform semantic search (AI Search) and automate complex workflows with advanced prompt engineering strategies.
- Implemented end-to-end CI/CD pipelines for Azure Container Apps, optimized NoSQL schemas for large-scale AI workloads, integrated RBAC + Managed Identities for secure service-to-service communication, and mentored a mid-senior AI engineer on Docker, Clean Architecture, and production-grade API and code design.
Senior GenAI Engineer
Distillery
02.2025 - 08.2025
- Designed and led the development of a scalable multi-agent system showcased at Databricks Summit 2025, integrating Snowflake and Databricks for advanced analytics, dynamic queries, and big data management.
- Implemented a hierarchical multi-agent architecture using LangChain, LangGraph, and Agentic Design Patterns, enabling agents to collaborate intelligently and interact seamlessly with APIs, vector databases (Pinecone), and enterprise data sources.
- Deployed the solution on a serverless architecture (AWS Lambda) with clean, maintainable, and production-ready code, leveraging Phoenix for monitoring, Trulens for performance analytics, and Adaflow for prompt optimization and multi-agent orchestration.
- Delivered a chatbot-powered environment on Slack, allowing data analysts to interact with the system in natural language, accelerating insights and reducing query response times by enabling real-time big data exploration.
Senior GenAI Engineer
Andela
02.2024 - 02.2025
- Led the research, architecture, and development of a Generative AI-powered SaaS platform transforming BSc/MSc university education, leveraging multi-agent systems, LangChain, and LangSmith with a serverless, microservices-based architecture on Azure Cloud.
- Designed and deployed Naive RAG and Agentic RAG workflows for personalized content retrieval, integrating Azure AI Studio, Azure Functions, and Cognitive Search for vector-based indexing and metadata management.
- Built seamless integrations with PostgreSQL, CosmosDB, enterprise APIs, CRMs, and WhatsApp to enable smart conversational agents that automate academic and commercial workflows, solving complex business cases and reducing manual interventions.
- Optimized LLM pipelines with DSPy and Adaflow for prompt performance (CoT, ToT, ReAct, FewShot, ZeroShot) and implemented custom evaluation frameworks using TruLens.
- Additionally, developed OCR pipelines leveraging Claude 3.5 Vision and GPT-4o-mini Vision for automated text extraction and fine-tuning techniques to improve response accuracy, QA validation, and agent reliability.
Senior Artificial Intelligence Engineer
Deloitte
11.2023 - 03.2024
- Designed and implemented a scalable analytics architecture on AWS Cloud, leveraging Glue, Redshift, S3, Glacier, Spark, and Step Functions to build high-performance ETL pipelines and distributed Big Data processing solutions, following best practices in cloud-native architectures.
- Developed predictive marketing analytics and executed A/B testing frameworks to optimize campaign performance, while building supply chain analytics solutions powered by Monte Carlo simulations to improve operational decision-making.
- Built and deployed personalized recommender systems for a retail client using SageMaker under a full MLOps methodology, ensuring continuous integration, testing, and scalable deployment of ML models.
- Designed and delivered GenAI-powered MVPs including computer vision pipelines for segmentation and inpainting using SAM, CLIP, and GPT-based models, and built logistics-focused conversational chatbots leveraging LangChain, LangGraph, and external DB integrations for real-time data retrieval and enhanced supply chain efficiency.
Senior Data Scientist
Ernst & Young (EY)
06.2023 - 11.2023
- Designed and implemented dynamic pricing strategies using advanced analytics and ML models, driving revenue optimization, improving competitive positioning, and enabling data-driven decision-making for the banking sector.
- Engineered large-scale recommender systems leveraging Graph Neural Networks (GNNs) and Neural Collaborative Filtering (NCF), enabling hyper-personalized product recommendations and delivering an estimated +40% ROI.
- Developed a next-gen banking virtual assistant powered by GPT-3, LangChain, and prompt fine-tuning, providing real-time financial insights through an interactive Streamlit prototype, significantly improving customer experience and digital adoption.
- Collaborated closely with cross-functional teams to integrate GenAI capabilities into core banking platforms, ensuring scalability, low latency, and security compliance while accelerating innovation in AI-driven financial services.
Instructor - Data Science Specialization
SoyHenry Startup
04.2023 - 09.2023
- Taught Python programming for Data Science, covering data wrangling, visualization, and exploratory analysis to build a solid foundation for analytics and ML.
- Delivered hands-on training in Data Analytics using Excel and PostgreSQL, enabling students to design efficient queries, perform aggregations, and derive actionable business insights.
- Explained and implemented core Machine Learning algorithms for classification and regression, applying them to real-world use cases and performance evaluation techniques.
- Introduced forecasting techniques combining statistical models and deep learning architectures, and taught MLOps best practices for deploying and monitoring ML models in production.
Mid-Senior Data Scientist – Architect
Belcorp
01.2023 - 05.2023
- Built and optimized ETL pipelines, migrating existing Scala & Spark scripts to SQL for Snowflake Data Warehouse, improving performance and maintainability.
- Integrated and orchestrated data workflows using AWS Redshift, Glue, Airflow, Lambda, and S3, enabling seamless data ingestion, transformation, and storage at scale.
- Developed propensity modeling pipelines leveraging machine learning techniques to enhance customer retention strategies and improve business decision-making.
Freelance Data Scientist – Computer Vision Dev
Statkraft
09.2022 - 12.2022
- Developed and deployed Intelligent Video Analytics (IVA) solutions for PPE inspection and high-voltage risk detection, leveraging YOLOv7, DeepSort-StrongSort, Object Tracking, and Deep Learning to enhance workplace safety.
- Led a semantic segmentation project using U-Net to detect water leakages in cooling pipes, deploying models on Nvidia Jetson Nano and local servers with OpenCV following MLOps best practices for efficient edge computing.
- Automated data extraction from invoices and images by combining OCR, Computer Vision, and Deep Learning, streamlining financial reporting and improving operational efficiency.
Data Scientist
Anheuser-Busch InBev (AB InBev)
05.2022 - 10.2022
- Led the Bees-Vision project, applying Deep Learning and Semantic Segmentation to classify daily BDR activities from images with 96% accuracy, enhancing operational visibility and decision-making.
- Built a recommendation and cross-selling model using Bayesian Statistics (A/B Testing), customer clustering, and Machine Learning with Scikit-Learn, achieving a +64% sales increase in the Mi Negocios sector.
- Deployed ML and DL models on Sagemaker with MLOps pipelines (CI/CT/CD), Docker, and FastAPI, while leveraging NLP techniques (NLTK, LSTM, PyTorch) for sentiment analysis and text segmentation on large-scale social media data.
Artificial Intelligence Developer
Baufest
04.2021 - 04.2022
- Achieved 95% accuracy in forecasting sales for new agro-industrial products by applying Machine Learning and Data Mining techniques, enabling better inventory planning and demand prediction.
- Developed and fine-tuned BERT/RoBERTa/GPT models to build a customized chatbot, deployed with ElevenLabs for realistic human-like voice interactions and enhanced customer engagement.
- Delivered end-to-end AI solutions, including Deep Learning and Computer Vision models for anomaly detection and quality control in manufacturing, as well as predictive maintenance of power lines and towers using drones + Transfer Learning.
- Implemented Text Summarization and Question-Answering systems using Transformers and NLP, automating the processing of large-scale unstructured data and improving information accessibility and user experience.
Software Developer and Tech Innovation
Simplex GQ
12.2019 - 05.2020
- Built predictive models using sensor data and Machine Learning to control actuators and create a Smart Agriculture environment, optimizing resource usage and crop monitoring.
- Fine-tuned BERT/GPT models to develop a Customer Assistance Bot for a pharmacy environment, enhancing customer experience through intelligent, context-aware responses.
- Designed computer vision solutions for automating truck pass rails at Antamina using Raspberry Pi 3B, and developed a cross-platform AR application with Unity + C# to simulate automation plant scenarios and spatial layouts.
Education
Diploma of Specialization - Software Architecture And System Design
Pacific University
Lima11-2025
Diploma of Specialization - Application Development With Artificial Intelligence
Pontifical Catholic University of Peru
Lima03-2025
MicroMaster - Statistics and Data Science
Massachusetts Institute of Technology
Boston05.2021
Bachelor - Mechatronics Engineering
Pontifical Catholic University of Peru
Lima08.2020
Skills
- Python, C, C
- SQL (PostgreSQL), No-SQL (MongoDB, CosmosDB)
- Spark, Snowflake, ETLs, Web Scrapping, Airflow
- Scikit-learn, PyTorch, Tensorflow, OpenCV, NLTK, SpaCy
- OpenAI, Anthropic, Meta, Fine-tunning (PEFT, QLoRA), Context Engineering (CoT, ToT, Tools, Memory - short and long term)
- LangChain, LangGraph, LangSmith, LangMem, Semantic Kernel - Agentic Design Patterns
- Naive RAG, Agentic RAG, Graph RAG, MCP, A2A Protocols
- Vector/Graph DBs: Neo4j, Pinecone, AI Search, Chroma
- Cloud Services Azure, GCP, AWS - IaC Terraform
- Docker, FastAPI (REST, WebSockets)
- Pipelines Github Actions, Azure DevOps - CI/CD
- Testing: Unit, Integration: pytest, unittest
- Build clean, maintainable and scalable code
LANGUAGES
Spanish
Native or Bilingual
English
Full Professional
German
Elementary
Timeline
Senior AI Engineer
Encora
02.2025 - Current
Senior GenAI Engineer
Distillery
02.2025 - 08.2025
Senior GenAI Engineer
Andela
02.2024 - 02.2025
Senior Artificial Intelligence Engineer
Deloitte
11.2023 - 03.2024
Senior Data Scientist
Ernst & Young (EY)
06.2023 - 11.2023
Instructor - Data Science Specialization
SoyHenry Startup
04.2023 - 09.2023
Mid-Senior Data Scientist – Architect
Belcorp
01.2023 - 05.2023
Freelance Data Scientist – Computer Vision Dev
Statkraft
09.2022 - 12.2022
Data Scientist
Anheuser-Busch InBev (AB InBev)
05.2022 - 10.2022
Artificial Intelligence Developer
Baufest
04.2021 - 04.2022
Software Developer and Tech Innovation
Simplex GQ
12.2019 - 05.2020
Diploma of Specialization - Software Architecture And System Design
Pacific University
Diploma of Specialization - Application Development With Artificial Intelligence
Pontifical Catholic University of Peru
MicroMaster - Statistics and Data Science
Massachusetts Institute of Technology
Bachelor - Mechatronics Engineering
Pontifical Catholic University of Peru
EXTRACURRICULAR ACTIVITIES
- Solutions Architect Associate - November 2025, AWS (in progress)
- Microsoft Certified: Azure AI Engineer Associate - Feb, 2025 Microsoft
- Specialization Pricing Analytics - November, 2023 Data Mining Consulting
- Mentor Artificial Intelligence Hackathon - November, 2021 Data Science Research Peru
- Certificate Machine Learning with Python-From Linear Models to Deep Learning - May, 2020 MITx
- Deep Learning and Machine Learning Specializations - Coursera, Deeplearning.ai, 2020
AWARDS HONORS
- Datathon Alicorp (Aug 2023) – Ranked 30th among top competitors, built a recommender system using Deep Collaborative Filtering and Deep Learning.
- Hackathon RIMAC (Apr 2022) – Achieved 5th place out of 20 teams by developing a Lead Conversion model with ML & DL techniques.
- Innovate Peru & Platzi Scholarship (Apr–Sep 2021) – Awarded full scholarship for training in innovation, entrepreneurship, and technology.
- Hackathon BBVA (Nov 2020) – Secured 2nd place by building an OCR + Deep Learning solution for automated financial statement extraction.
- CLAP, University of São Paulo, Brazil (Dic 2019)- 1st place by building a robot with an AI-driven (computer vision) system optimizing aeroponics & hydroponic agriculture.
- Full Scholarship winner - University studies at PUCP, the top-ranked university in Peru.
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