Ahmad Wandar

Senior FlutterFlow & Mobile Developer

AppsFlyer • Part time

Apr 2023 - Present • 3 yrs 3 mos

As a Senior FlutterFlow & Mobile Developer at AppsFlyer, I specialized in designing, developing, and deploying high-quality mobile applications for Android, iOS, and cross-platform environments. During my 3+ years with the company, I contributed to numerous application development projects, strengthening my expertise in modern mobile technologies while delivering scalable, user-centric solutions for diverse business needs. My responsibilities included developing end-to-end mobile applications using Flutter and FlutterFlow, integrating REST APIs, Firebase services, third-party SDKs, authentication systems, payment gateways, push notifications, and cloud-based solutions. I also worked on enterprise-grade applications, AI-powered mobile solutions, workflow automation, performance optimization, UI/UX implementation, debugging, testing, and application deployment across multiple platforms. I gained extensive hands-on experience with Flutter, FlutterFlow, Dart, Firebase, Supabase, REST APIs, SQLite, Git, GitHub, Android Studio, Visual Studio Code, Figma, Google Maps API, Stripe, RevenueCat, CI/CD workflows, and Agile development methodologies, enabling me to build secure, scalable, and production-ready applications. Beyond technical development, I led development teams, mentored junior developers, coordinated project execution, and collaborated closely with designers, stakeholders, and clients to ensure successful project delivery. This role strengthened my leadership, problem-solving, communication, presentation, project management, and strategic planning skills while managing multiple projects and meeting demanding deadlines. Working at AppsFlyer significantly enhanced my expertise in cross-platform and enterprise mobile application development, enabling me to deliver innovative, high-performance, and business-focused mobile solutions that provide exceptional user experiences and long-term value.

Machine Learning Consultant - Remote Job

Codebase Technologies • Full time

Jan 2023 - Present • 3 yrs 6 mos

As a Machine Learning Consultant at Codebase Technologies, I developed and delivered AI-powered solutions for clients across multiple industries. Over four years, I worked on a wide range of machine learning, deep learning, and Generative AI projects, strengthening my expertise in designing, building, and deploying intelligent applications that solve real-world business challenges. My responsibilities included developing end-to-end machine learning pipelines, training and fine-tuning models, preprocessing and analyzing large datasets, evaluating model performance, and optimizing AI solutions for production. I worked extensively with Large Language Models (LLMs), OpenAI API integration, chatbot development, Natural Language Processing (NLP), predictive analytics, intelligent automation, and custom AI applications. I gained hands-on experience with industry-standard technologies, including Python, TensorFlow, PyTorch, Scikit-learn, Hugging Face Transformers, OpenAI API, LangChain, Pandas, NumPy, SQL, Streamlit, Flask, FastAPI, Git, Docker, and cloud-based AI platforms. In addition to my technical responsibilities, I led project teams, mentored junior developers, coordinated project execution, and collaborated closely with clients to deliver reliable, scalable, and high-quality AI solutions. This role significantly enhanced my leadership, problem-solving, communication, project management, and time management skills while enabling me to manage multiple projects efficiently. Working at Codebase Technologies provided me with extensive practical experience in modern AI technologies and strengthened my ability to build production-ready machine learning solutions that deliver measurable business value.

Machine Learning Engineer

DataPulse Research • Full time

Jun 2019 - Dec 2022 • 3 yrs 6 mos

As a Machine Learning Engineer at DataPulse Research, I worked on a diverse range of artificial intelligence and machine learning projects across multiple industries. During my 3.5+ years with the company, I strengthened my expertise in designing, developing, and deploying intelligent solutions using modern machine learning techniques and state-of-the-art AI technologies. My work involved developing predictive models, implementing deep learning architectures, building natural language processing (NLP) solutions, and contributing to projects based on Large Language Models (LLMs) and Generative AI. I gained extensive hands-on experience with model training, data preprocessing, feature engineering, model evaluation, optimization, and deployment, ensuring high-performance and scalable AI solutions. Throughout my role, I worked with a broad ecosystem of machine learning tools and frameworks, including Python, TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, Hugging Face Transformers, OpenAI APIs, LangChain, Streamlit, Flask, FastAPI, Git, SQL, and various cloud-based AI platforms. These technologies enabled me to build end-to-end machine learning pipelines and deliver production-ready solutions tailored to client requirements. I successfully contributed to numerous projects involving: * Machine Learning & Deep Learning * Large Language Models (LLMs) * Generative AI Applications * Natural Language Processing (NLP) * Computer Vision * Predictive Analytics * Recommendation Systems * AI Chatbots & Intelligent Assistants * Data Analysis and Visualization * Model Optimization and Deployment Beyond technical expertise, this role significantly enhanced my professional skills. Working in a fast-paced environment strengthened my project management, communication, analytical thinking, problem-solving, time management, client collaboration, and financial planning abilities. Managing multiple projects