Riya S.

I build AI systems that work in production - not just in demos. With 8+ years in AI/ML and enterprise software, 2000+ hours on Upwork, 200+ solutions delivered, and 300+ clients across the globe, I've earned a simple reputation: if you need intelligent automation, a custom LLM application, or a scalable ML pipeline, I'll build it, ship it, and make sure it holds up. I work across the full AI stack: from raw data ingestion and model training to fine-tuning LLMs, deploying RAG architectures, and integrating everything into production-grade systems. Whether the project lives on AWS (Bedrock, SageMaker, Textract, Comprehend), Google Cloud (Vertex AI), or runs locally (Ollama, LLaMA, DeepSeek), I build for the environment that fits your business, not the one that's easiest for me. ➛ 𝗪𝗵𝗮𝘁 𝗜 𝗯𝘂𝗶𝗹𝗱 𝗠𝗟𝗢𝗽𝘀 & 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗠𝗟 End-to-end ML pipelines with MLflow, SageMaker, and Azure ML. Model training, fine-tuning, versioning, and monitoring. TensorFlow, PyTorch, Keras, Scikit-learn, XGBoost. Deep learning, neural networks, and Diffusion Models. 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 & 𝗟𝗟𝗠 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 Custom GPTs, AI agents, and RAG pipelines using OpenAI, Claude, LLaMA, Mistral, and DeepSeek. LLM fine-tuning with LoRA/QLoRA. Prompt engineering (zero-shot, few-shot, chain-of-thought). Multi-agent systems with LangChain and LangGraph. Deployed on AWS Bedrock, Vertex AI, or self-hosted via Ollama/Supabase. 𝗗𝗮𝘁𝗮 & 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 Data mining, web scraping, and pipeline engineering with Pandas, NumPy, and Python. Business intelligence and analytics with Amazon QuickSight. NLP with Amazon Comprehend, BERT, SpaCy, Transformers - text classification, sentiment analysis, entity recognition, content generation. 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 & 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 OCR and document processing with Amazon Textract, Azure Computer Vision, OpenCV, and Tesseract. Image recognition, face detection, and vision-based automation. Stable Diffusion and generative image workflows. 𝗖𝗼𝗻𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗔𝗜 & 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 AI assistants and knowledge-base chatbots. Context-aware conversation systems integrated via API. GoHighLevel automation and CRM-connected AI workflows. Amazon Translate for multilingual deployments. 𝗪𝗵𝘆 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 𝗰𝗼𝗺𝗲 𝗯𝗮𝗰𝗸 Most AI projects fail at the handoff from prototype to production. I've spent a decade closing that gap, writing systems that are maintainable, monitored, and built to scale beyond the first deployment. - Production-first architecture from day one - Strong documentation and clean, handoff-ready code - Experience across AWS, Azure, GCP, and open-source stacks - Clear communication throughout, no black boxes - On-time delivery with post-launch accountability 𝗘𝘃𝗲𝗿𝘆 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝗶𝗻𝗰𝗹𝘂𝗱𝗲𝘀: - 1 month post-delivery support - 1 month warranty on all deliverables - Dedicated technical consultation If you're building an AI product, automating a complex workflow, or turning your data into something that actually makes decisions, let's talk. I'll tell you in the first conversation whether it's feasible, how long it takes, and what it'll cost.