Piyush Kumar Sinha

AI Engineer

Piyush Kumar Sinha is a seasoned AI Consultant with a decade of experience in creating groundbreaking AI solutions. He leverages state-of-the-art tools and technologies like GPUs, cloud web services such as AWS, and AI accelerators like NPU to tackle real-world challenges. Piyush possesses expertise in software design, architecture, and implementation, encompassing a comprehensive understanding of full stack development and various APIs. His proficiency extends to Large Language Models (LLMs), and he actively utilizes Azure OpenAI Services, employing ChatGPT for data processing, indexing, and prediction tasks. Piyush has a proven track record of delivering multiple successful AI-based projects, including Generative AI initiatives, a Visual Inspection framework, a deep reinforcement learning application, a Person Detection and Tracking System, and an Alarm Prediction system. With his practical experience and specialized knowledge in various AI sub-fields, Piyush brings valuable skills and a fresh, innovative perspective to any project.

Luiz Otávio Luz

AI Engineer

Luiz, a seasoned Data Scientist and Machine Learning Engineer with 4 years of experience, currently serves as a Machine Learning Engineer at Mercado Libre. His expertise is evident in leading projects like a Serving Embeddings Platform and enhancing an internal AutoML system. Luiz conducted a Proof of Concept for Generative AI tools, showcasing proficiency in Python, TensorFlow, PyTorch, and more. At Inter, he predicted customer assets using deep learning, implemented NLP for complaint handling, and conducted customer segmentation. Additionally, he has utilized Chat GPT in his projects. His technical acumen includes Python, SQL, TensorFlow, Keras, and AWS services.

Ibis Prevedello

AI Engineer

Ibis Prevedello is an AI Engineer with over 11 years of working experience with international banks and telecommunication companies to understand client requirements for implementing specific functionalities. He has designed the system architecture with microservices concepts and is skilled in implementing algorithms for improving the system's decision-making capabilities and for data augmentation using generative adversarial networks. He has developed an autoML feature to automate the process of training, fine-tuning, and deploying machine learning models and has also engineered an open-source Time Series Library, built on top of Pandas, to streamline data processing and data splitting for use in ML algorithms, resulting in a 90% reduction in time. He has managed five legacy systems integration projects and engineered two small prototypes using blockchain principles and public and private key signatures.

Dan Alexandru

AI Engineer

Dan is a seasoned professional with expertise in programming, particularly in languages like Python, JavaScript, Node.js, and HTML. With strong experience in Machine learning, NLP (Natural Language Processing), LLM(Large Language Models), he has good knowledge on Generative AI, Algorithm design, etc. He has extensive experience working with LLMs like ChatGPT, including versions such as GPT-3 and GPT-4. Dan also utilizes Docker for containerization, Python libraries such as Pandas and Airflow, and ML libraries like scikit-learn, LDK, space c, TensorFlow, torch, and NumPy. Additionally, he frequently employs Rest APIs to design microservices in his daily work, and his most recent project involved collaboration with LLMs, with a notable focus on ChatGPT.

Adesiji Blessing Adetoye

AI Engineer

Adesiji is passionate about artificial intelligence and machine learning and has over 5+ years of experience handling various data science projects across numerous industries and applications. He focuses on cutting-edge large language models such as Chat GPT -3, GPT-4, Cohere, and AI21 that help drive more relevant engagement to build products and services. He has a substantial interest in working with generative AI models like GPT and variants and has exceptional knowledge of data science concepts like building custom dashboards, ETL pipelines, big database migration like OLAP, OLTP, REST-APIs, microservices, and more. Adesiji has an excellent programming background with languages and databases like Golang, Python, NodeJS, Vue.Js, NextJS, and ReactJS, tensor flow and currently works with GitLab using fast API in Python framework to facilitate real-time data monitoring features in mobile and web applications. Adesiji has excellent leadership experience and can handle a team of various sizes NLP, artificial intelligence, and data science domains.

Talha Qayyum

AI Engineer

Talha Qayyum is a brilliant Data Scientist with more than 4 years of experience combining data with Machine Learning to inform strategy and business decisions. Talha currently leads a data science team working in collaboration with cross-functional teams to develop interactive, real-time dashboards for customer segmentation, risk analytics, and KPI tracking with Power BI. He developed a credit scoring model based on customer demographics using ML and statistical techniques and developed a deep learning model for customer sentiment analysis. Talha is responsible for enabling ML services including bug fixing and troubleshooting. His technical skills include Python, SQL, PostgreSQL, matplotlib, Spacy, PyTorch, Numpy, TensorFlow, Jupyter, Anaconda, AWS, and OpenCV. Talha is passionate about bringing order to vast, messy data sets to reveal powerful insights through deep learning, NLP, ML, and AI techniques.