Amir Moghadam
Verified Expert in Engineering
Data Scientist and Machine Learning Developer
Belo Horizonte - State of Minas Gerais, Brazil
Toptal member since September 30, 2025
Amir is an experienced AI/ML engineer with 10+ years of experience building production-grade AI and ML systems. He specializes in LLM-powered applications, RAG architectures, multi-agent workflows, and AI copilots across WhatsApp, web, and internal platforms using OpenAI, LangChain, and modern MLOps stacks. Amir has led high-impact initiatives in pricing, forecasting, and telemetry, delivering multi-million-dollar revenue and productivity gains through AI-native automation.
Portfolio
Experience
- Python 3 - 10 years
- Machine Learning - 10 years
- Time Series Forecasting - 8 years
- Artificial Intelligence (AI) - 5 years
- Git - 4 years
- Retrieval-augmented Generation (RAG) - 2 years
- Large Language Models (LLMs) - 2 years
- Agentic AI - 2 years
Preferred Environment
Python 3, Ubuntu Linux, Visual Studio Code (VS Code), Git
The most amazing...
...thing I built was a parallel pipeline over Hubble sky catalogs to find quasar candidates and Einstein Cross–like lensing patterns in the search for dark energy.
Work Experience
AI Lead
Tech of Eden PBC
- Design and development of an AI-driven POC and MVP focused on large language model (LLM)-based moderation, evaluation, and alignment systems.
- Developed and validated AI pipelines, experiments, and case studies involving Retrieval-augmented Generation (RAG), RLHF concepts, prompt engineering, Rerankers vs. Reasoning LLMs, and multi-stage LLM evaluation workflows.
- Close collaboration with technical leadership and the CEO to translate business requirements into scalable AI solutions using OpenAI APIs, GPT-4, AI agents, Cohere, and orchestration frameworks.
AI Engineer
PlannixAI
- Designed and implemented an enterprise-grade AI Copilot platform to automate customer support, operations, and internal knowledge workflows using large language models and retrieval augmented generation (RAG).
- Led the full architecture and delivery of the solution, building multi-channel conversational AI systems deployed across WhatsApp, reducing human workload by over 60% while significantly improving SLA response times and customer experience.
- Reduced human workload by over 60% while significantly improving SLA response times and customer experience.
- Implemented monitoring, cost governance, and security layers to ensure enterprise compliance, scalability, and long-term maintainability.
Data Science Specialist
Localiza
- Developed pricing models that boosted return on investment (ROI) by automating car pricing at the most granular level, using a hierarchical Bayesian approach integrated with an optimization model.
- Delivered multiple projects with notable achievements, including a 25% improvement in fine-grained daily demand prediction for car allocations and successful A/B test outcomes through machine learning-driven automated rental pricing.
- Increased B2B lead conversion rates by 10%, boosted B2C client conversions by 23%, and reduced total breakdown costs by 7% through temporal analysis of telemetric data to model crash propensity.
- Spearheaded the implementation of MLOps best practices with a team of 40 professionals, including data scientists, engineers, analysts, and developers, reducing time to market for operationalizing ML models.
- Contributed to the company's success and profit margins by fostering a collaborative environment and driving seamless cross-team cooperation, resulting in substantial business growth.
Senior Data Scientist
Aquila Consulting
- Built predictive models for S&OP and supply chain demand in the construction materials and textile industries, achieving over 20% improvement in forecast accuracy and generating R$10 million in annual profit by reducing stock levels and lost sales.
- Applied multiple statistical and machine learning techniques, including implementing epidemiological projections of the COVID-19 pandemic for Brazilian cities and states.
- Presented COVID-19 predictions on national television on Jornal da Band, leveraging World Health Organization (WHO) data and epidemiological models to inform the public.
CEO | Co-founder
Explora app
- Founded and led a tech solutions provider for travel agencies, focused on improving the traveler experience.
- Ranked among the top three best startups at the Hackatur event organized by SEBRAE-MG, Belotur, and BH Airport in August 2018, and received mentorship and acceleration support.
- Developed and launched the official mobile application for the most significant female entrepreneurship event in Brazil (VOEMULHER 2019).
Data Scientist
Tracksale
- Applied Natural Language Processing (NLP) techniques to enhance the customer satisfaction monitoring system, achieving a 70% improvement in scoring customer reviews.
- Led the implementation of machine learning (ML) algorithms in topic modeling and vector representation of texts.
- Led multiple advanced analytics projects for different customers in various industries.
Data Engineer and Researcher
Dell EMC
- Implemented massively parallel algorithms to analyze spatio-temporal patterns in terabytes of seismic data, cutting processing time by 90% from four days to eight minutes, for an oil and gas product optimization project using Spark and Greenplum.
- Registered a patent for predicting and identifying relevant geological patterns to optimize oil and gas production, approved by the United States Patent and Trademark Office, registration number 14/672516.
- Patented methods and apparatus for parallel evaluation of pattern queries over large N-dimensional datasets to identify features of interest, enhancing the efficiency of geological analysis.
Experience
Enterprise AI Copilot and RAG Automation Platform
I led the full architecture and delivery of the solution, building multi-channel conversational AI systems deployed across WhatsApp, web chat, and internal business tools. The platform integrates OpenAI LLMs, LangChain-based orchestration, and vector search over private company data, enabling secure, real-time knowledge retrieval from documents, tickets, CRM records, and operational systems.
I designed autonomous multi-agent pipelines for task routing, data extraction, reporting, and workflow automation, and implemented prompt engineering and memory handling to ensure reliable, auditable, and production-safe AI behavior. The system replaced manual support and reporting processes, reducing human workload by over 60% while significantly improving SLA response times and customer experience.
I also implemented monitoring, cost governance, and security layers to ensure enterprise compliance, scalability, and long-term maintainability.
Dynamic Pricing Optimization for LATAM Car Fleet
Demand Forecasting
I designed the models to capture seasonality, trends, and pricing effects, enabling businesses to optimize inventory levels and pricing decisions. This approach improved forecast reliability and supported data-driven operational and strategic planning.
Telemetry-based Maintenance Prediction
Seismic Data Acceleration and Pattern Discovery (Patent Project)
Education
Master's Degree in Computer Science
Federal University of Minas Gerais - Belo Horizonte, Brazil
Master's Degree in Computational Modeling
Federal University of Rio de Janeiro - Rio de Janeiro, Brazil
Certifications
Architecting on AWS
Amazon Web Services
TOEFL Advanced English Certificate
U.S. Educational Testing Services (ETS)
Skills
Libraries/APIs
Pandas, Scikit-learn, XGBoost, REST APIs, Matplotlib, PySpark, NumPy, PyMC, TensorFlow, PyTorch, Keras, React, OpenAI API, Claude API
Tools
Git, BigQuery, Amazon SageMaker, n8n, Amazon Textract, ChatGPT, Amazon Elastic MapReduce (EMR), Microsoft Power BI, Amazon Elastic Container Registry (ECR), Apache Airflow, Looker, Claude
Languages
Python 3, Python, SQL, Batch, C#.NET, R, PHP, C#, JavaScript
Platforms
Amazon Web Services (AWS), Azure, Jupyter Notebook, Ubuntu Linux, Visual Studio Code (VS Code), Google Cloud Platform (GCP), Docker, Databricks, AWS Lambda, Kubernetes, Vertex AI, Firebase, Microsoft Fabric, Kubeflow
Storage
Data Pipelines, Databases, PostgreSQL, JSON, Data Integration, NoSQL, SQL Server 2008, Datadog, Amazon S3 (AWS S3), MySQL, Greenplum
Frameworks
Spark, LangGraph, Hadoop, Ionic, Ionic 3
Paradigms
ETL, Business Intelligence (BI), Automated Testing, Automation, Testing, Azure DevOps, Model Context Protocol (MCP)
Other
Time Series Forecasting, Time Series Analysis, Machine Learning, Large Language Models (LLMs), Data Science, Predictive Modeling, Artificial Intelligence (AI), Data Analytics, Data Analysis, Modeling, Feature Engineering, Demand Forecasting, Retrieval-augmented Generation (RAG), Data Visualization, Hypothesis Testing, Data Modeling, Scientific Computing, Forecasting, Predictive Analytics, OpenAI, Vector Databases, Full-stack, CI/CD Pipelines, Data Processing, Cloud Services, Statistical Modeling, Deployment, Time Series, Design, Web Scraping, MLflow, Statistics, Machine Learning Operations (MLOps), Analytics, APIs, Algorithms, Natural Language Processing (NLP), Pricing Models, Car Rental, Social Networks, Software Architecture, AI Agents, Fine-tuning, Deep Learning, Prompt Engineering, A/B Testing, Bayesian Inference & Modeling, Causal Inference, Internet of Things (IoT), Reliability, AI Adoption, Model Tuning, Data Engineering, Statistical Analysis, Normalization, Performance Optimization, Financial Forecasting, Minimum Viable Product (MVP), Text Classification, Amazon Bedrock, Agentic AI, Dashboards, Reporting, LangChain, API Integration, AI Chatbots, Data Protection, Generative Artificial Intelligence (GenAI), FastAPI, Pattern Recognition, Server-side PDF Generation, Financial Modeling, Containers, Model Deployment, Random Forests, Trading, Geospatial Data Pipelines, AI Pipeline, GPU Computing, Geospatial Analytics, Optical Character Recognition (OCR), Chatbot Conversation Design, Chatbots, Local Hosting, Open-source LLMs, Streaming Data, ChatGPT API, ChatGPT Prompts, OpenAI GPT-4 API, Reinforcement Learning from Human Feedback (RLHF), Workflow Automation, Speech-to-Text (STT), Text-to-Speech (TTS), AI Automation, RAG Pipelines, ServiceNow, Applied Mathematics, LiDAR, Mining, Sensor Data, Agentic RAG Systems, AI Architecture, ETL Pipelines, Big Data, Model Monitoring, ML Pipelines, ECS, Telecom Equipment & Solutions, 5G, 6G, Mobility, Advancing 5G/6G networks using my expertise in Artificial Intelligence and Machine Learning in IoT mobility in mmWave networks, English, Advancing 5G/6G networks using AI/ML in IoT mobility in mmWave networks, Bayesian Statistics, Optimization, Telemetry, Google BigQuery, Predictive Maintenance, Vector Stores, ChromaDB, Pinecone, Multiagent Generative Systems (MAGs), Context Engineering, Computer Vision, Signal Processing, Large Language Model Operations (LLMOps), AI Voice Agents
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