Freddy Dick Salazar Valverde

• Leading technical development and AI architecture for a next-generation personalized fashion assistant platform.
• Managing end-to-end product development, coordinating a cross-functional team of developers.
• Architecting a multi-agent AI system for personalized styling, wardrobe management, and outfit recommendations.
• Defining the technical roadmap, sprint planning, and delivery milestones for the 2026 product launch.
• Overseeing the implementation of core features: conversational AI, computer vision, recommendation engine, and user personalization.

• Lead AI initiatives and strategic technology decisions for the organization.
• Mentor AI engineering teams, and drive the adoption of cutting-edge AI technologies.
• Collaborate with stakeholders to define AI product roadmaps and technical requirements.
• Proof of concepts with some clients using RAG or fine-tuning LLMs like Llama 2, GPT-4, and Claude 3.5 Sonnet.
• Prototyped LLM models using Langchain, with data pipelines utilizing Lang Chain, OpenAI, transformers, and Azure to document analysis, chatbots, abstracts, and classification.
• Prototyped novel AI architectures utilizing deep learning frameworks like Keras, TensorFlow, or PyTorch for video analytics, using computer vision algorithms.
• Developed and implemented deep learning algorithms to classify, detect, segment, and perform pose estimation for industrial applications using Azure.
• Followed industry innovations and emerging trends through scientific articles, conference papers, or self-directed research to prototype and implement in the real world.
• Collaborated with stakeholders to define requirements for new AI products or services.

Freelancer

Big Bang Group - Current

• Development of a MVP to extract important KPI from public information about Stock Exchange using transfer learning with pre-trained LLM models.

Researcher

Artificial Intelligence and Robotics Laboratory FIIS UNI 2023

• Research in brain tumor classification and segmentation of magnetic resonance imaging using Deep Learning algorithms.
• Transfer learning of segmentations algorithms like U-Net and others modifications described in papers, optimizing parameters and hyper-parameters to improve results.

Freelancer

Proetica Org. 2023

• Development and deployment of a predictive machine learning model to predict if a Forest Management Plan is legal or illegal.
• Implementation of API in AWS architecture using RDS, EC2, S3.
• Develop simple web page with Streamlit to predict new results.

Freelancer

Artificial Intelligence and Robotics Laboratory FIIS UNI 2021-2022

• Support to implement AI Server in laboratory.
• Identified needs of future researchers promptly and efficiently.

Volunteering

Equilibrio NGO 2021

• Development and deployment of first web landing page of NGO.
• Implementation frontend and backend in AWS architecture.
• Leading young team of different universities.

Freelancer

Feedback Project 2020 - 2021

• Development of Feedback survey application with facial emotion recognition using Deep Learning and Tensorflow.
• Deployment of survey AI in phone application to use in real time survey.

• SDC Teacher Generative AI with LLM in Specialization Program in Artificial Intelligence.
• Taught the Generative AI with Large Language Models (LLM) module, focusing on advanced concepts and applications of generative AI technologies.
• Created and updated educational materials, including lectures and practical exercises, to ensure relevance and engagement with the latest LLM advancements.
• Guided students through complex topics and projects, providing support and fostering a deep understanding of LLM applications and techniques.

• Identified potential problems with existing ML, DL and AI systems and proposed solutions for improvement.
• Integrated pre-trained ML and AI models into web applications using frameworks such as TensorFlow or PyTorch.
• Developed custom APIs for deploying trained models onto cloud services such as AWS, Azure or on premise devices like a GPU server or embedded devices like NVIDIA Jetson, etc.
• Prototyped LLM models using Langchain with data pipelines utilizing Lang Chain, OpenAI, transformers and Azure to document analysis, chatbots, abstract and classify.
• Prototyped novel AI architectures utilizing deep learning frameworks like Keras, Tensorflow or Pytorch to video analytics using Computer Vision algorithms.
• Developed and implemented deep learning algorithms to classify, detect, segment, pose estimation to industrial applications using Azure.

• Contributed to CSIRT information security project through conducting research, development, and experimentation using both on-premise and cloud API's.
• Prototyped ciber security application using LLM - ChatGPT, Transformers, AWS, Amazon Sagemaker with Python.
• Collaborated with team of another countries to develop effective solutions related to cibersecurity.
• Tested AI pipeline in applications prior to release and identified issues requiring resolution.

• Developed and implemented software solutions, enhancing the performance of current systems.
• Performed data analysis and using Python
• Detected and resolved data quality issues and discrepancies for integrity and quality control.
• Created complex SQL queries for reporting purposes.
• Modified existing software systems to enhance performance and add new features.
• Participated in code reviews to offer constructive feedback on best practices for database and coding development.
• Designed databases using ER diagrams to reflect entity relationships between different objects within a system.

• Created status reports on operational activities.
• Reviewed project specifications, identifying and remedying potential issues that could result in development delays.
• Participated in code reviews conducted by senior developers or architects.
• Documented program development and subsequent revisions with comments for easy comprehension.
• Designed, developed and implemented backend software to support system product concepts.
• Developed and maintained back-end applications using Java, Spring Boot.
• Implemented a system for automatic endpoint testing using Python.