Vincent G.

𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 & 𝐅𝐮𝐥𝐥-𝐒𝐭𝐚𝐜𝐤 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫 | 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬, 𝐋𝐋𝐌𝐬 & 𝐒𝐚𝐚𝐒 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 13+ Years of Development Experience | AI/ML Integration | Web Application Engineering I’m Vincent, an AI Engineer and Full-Stack Developer specializing in intelligent applications, AI-powered automation, scalable backend systems, and modern web platforms. I help businesses transform ideas into practical software solutions, from AI assistants and Retrieval-Augmented Generation (RAG) systems to enterprise web applications and cloud-based products. My approach focuses on clean architecture, reliable performance, maintainable code, and solutions aligned with business goals. ✅ 𝐏𝐫𝐨𝐟𝐞𝐬𝐬𝐢𝐨𝐧𝐚𝐥 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬 • 13+ years of software and full-stack development experience • $200K+ in total Upwork earnings • 100+ projects completed • Top Rated Plus freelancer with a 100% Job Success Score • Experience integrating AI/ML capabilities into business applications • Availability for up to 40 hours per week ✅ 𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 & 𝐋𝐋𝐌 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 I build AI-powered products using commercial and open-source language models, agent frameworks, vector databases, and modern deployment infrastructure. ✅ 𝐀𝐈 𝐚𝐠𝐞𝐧𝐭𝐬 𝐚𝐧𝐝 𝐯𝐨𝐢𝐜𝐞 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 • LangChain, LangGraph, LlamaIndex, CrewAI, and AutoGen • Voice assistants using Deepgram, Amazon Polly, Azure AI Speech, and Rasa • Tool-calling agents, multi-agent workflows, and business process automation ✅ 𝐋𝐋𝐌 𝐜𝐮𝐬𝐭𝐨𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐟𝐢𝐧𝐞-𝐭𝐮𝐧𝐢𝐧𝐠 • PEFT, LoRA, QLoRA, supervised fine-tuning, RLHF, and DPO • Hugging Face, Unsloth, Axolotl, and Amazon SageMaker • Models including Llama, Mistral, Mixtral, Falcon, and Gemma ✅ 𝐑𝐀𝐆 𝐚𝐧𝐝 𝐤𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞-𝐛𝐚𝐬𝐞𝐝 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 • Document processing, semantic search, and contextual question answering • LangChain, LlamaIndex, ChromaDB, FAISS, Pinecone, Qdrant, Weaviate, and Milvus • Embedding generation, retrieval optimization, and knowledge-base integration ✅ 𝐌𝐨𝐝𝐞𝐥 𝐨𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐝𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 • vLLM, Hugging Face Text Generation Inference (TGI), and TensorRT-LLM • Model quantization using AWQ, GPTQ, and GGUF • Deployment through AWS, Google Cloud, RunPod, and other suitable environments ✅ 𝐀𝐈 𝐞𝐯𝐚𝐥𝐮𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐩𝐫𝐨𝐦𝐩𝐭 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 • Few-shot, zero-shot, and multi-turn prompting • Synthetic data generation and evaluation pipelines • Prompt testing, output validation, and performance optimization ✅ 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 & 𝐒𝐲𝐬𝐭𝐞𝐦 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 I develop secure APIs, data-driven applications, and scalable server-side systems using: • Languages and frameworks: Python, FastAPI, Django, Flask, Node.js, Express.js, and NestJS • API development: REST APIs, GraphQL, third-party integrations, and AI service endpoints • Databases: PostgreSQL, MySQL, MongoDB, Firebase, and Firestore • Caching and background processing: Redis, Celery, and asynchronous task queues • Cloud and infrastructure: AWS Lambda, EC2, S3, Docker, Kubernetes, and Nginx I focus on well-structured services, efficient database design, dependable integrations, and backend architecture that can evolve as product requirements grow. ✅ 𝐅𝐫𝐨𝐧𝐭𝐞𝐧𝐝 & 𝐅𝐮𝐥𝐥-𝐒𝐭𝐚𝐜𝐤 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 I build responsive, accessible, interfaces for SaaS products, dashboards, customer portals, business applications. ✅ 𝐌𝐲 𝐟𝐫𝐨𝐧𝐭𝐞𝐧𝐝 𝐞𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 𝐢𝐧𝐜𝐥𝐮𝐝𝐞 • React.js, Next.js, Vue.js, and Nuxt.js • JavaScript, TypeScript, HTML5, and CSS3 • Tailwind CSS and Redux Toolkit • Single-page applications (SPAs) and progressive web applications (PWAs) • React Native for cross-platform mobile development • API integration, authentication flows, and data-driven user interfaces I can work across the entire application stack, connecting frontend experiences with backend services, databases, AI models, and cloud infrastructure. ✅ 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠, 𝐂𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐓𝐨𝐨𝐥𝐬 My broader technical toolkit includes: • Python data science: NumPy, Pandas, Scikit-learn, Matplotlib, and Seaborn • AI services: OpenAI APIs, GPT models, Whisper, Hugging Face Transformers, and related AI platforms • Cloud platforms: AWS, Google Cloud, and associated AI deployment services • Development workflow: Git, GitHub, Linux, automated testing, and CI/CD practices ✅ 𝐇𝐨𝐰 𝐈 𝐂𝐚𝐧 𝐇𝐞𝐥𝐩 Whether you need a new product built or an existing application improved, I can help with: • AI agents, chatbots, and voice-based assistants • RAG applications and private knowledge-base search • LLM integration, fine-tuning, and deployment • AI-powered SaaS platforms and MVP development • Full-stack web applications and REST/GraphQL APIs