Hannan

Chief Technology Officier

Developers Core • Autônomo

Jun 2021 - Present • 4 yrs 11 mos

Collaborated on machine learning, artificial intelligence, data science projects: requirements formulation, data collection, preprocessing, cleaning, exploratory data analysis (EDA), feature engineering, model development with decision trees, random forests, SVM, neural networks, deep learning architectures, hyperparameter tuning, regularization. Trained, validated, evaluated models using accuracy, precision, recall, F1-score, AUC; monitored deployed models for concept drift, data drift, degradation; implemented APIs, RESTful services, user interfaces, authentication, authorization with Python, SQL, MySQL, PostgreSQL, MongoDB. Leveraged Transformer architectures, GPT-3, T5, generative AI, prompt chaining, template design, fine-tuning, PEFT, RLHF for text generation, code, multimedia; stayed updated on AI trends, research papers, conferences; automated workflows, cross-functional innovation in MLOps, big data, cloud AI. Designed server-side applications, APIs, web services, business logic, algorithms, database operations, serverless functions, Cloudflare Workers, data security, authentication, authorization, scalability, performance optimization, caching, unit tests, integration testing, logging, monitoring. Architected Angular-based e-commerce platforms with TypeScript, NgRx state management, Angular Material, custom components, lazy loading, AOT compilation, change detection, error handling; reduced load times by 40% via code splitting. Integrated RESTful APIs, payment processing, full-stack development with HTML, CSS, JavaScript, jQuery, PHP, MySQL, Django, Flask, Node.js, React, Vue.js, Express.js, GraphQL, WebSockets, Redis, OAuth, JWT, AWS, Docker, Kubernetes, CI/CD, microservices for enterprise solutions.

Machine Learning Engineer

Floty.ai • Meio período

Sep 2024 - Jan 2025 • 4 mos

Designed transformative AI solutions, fleet management, intelligent chatbot systems, natural language processing (NLP), conversational AI, agentic workflows, LangChain, GPT, large language models (LLMs), Retrieval-Augmented Generation (RAG), knowledge graphs for querying databases in plain English, vehicle histories, maintenance schedules, fleet analytics. Built driver behavior analysis, telematics data, machine learning models, predictive analytics, safety scoring, deep learning, computer vision, neural networks to identify harsh braking, acceleration, cornering; reduced risks with real-time insights. Engineered predictive maintenance modules, real-time data, downtime reduction, cost optimization using AI agents, scalable MLOps, model monitoring, concept drift, data drift handling; integrated role-based systems for operational efficiency in transportation, logistics sectors.

Senior Machine Learning Engineer

SWK Technologies • Período integral

Jun 2024 - Dec 2024 • 6 mos

Hands-on generative AI, LangChain, large language models (LLMs), deep learning, neural networks, prompt engineering, fine-tuning, PEFT, RLHF for end-to-end product development, brainstorming, requirements gathering, competitor analysis, market research in artificial intelligence, machine learning, data science. Project management, team leadership, cross-functional teams, strategic planning, product evaluation, scalable AI solutions, MLOps, model deployment, hyperparameter tuning, regularization, optimization algorithms like Adam, RMSprop, Momentum for business growth in startups, enterprises. Conducted AI ethics, explainable AI (XAI), responsible AI assessments; integrated APIs, authentication, authorization, secure data handling with Python, TensorFlow, Keras, PyTorch, Scikit-learn, Pandas, Numpy for production-ready generative AI pipelines.