Hire the Best Streamlit Specialists

I build AI systems that go from prototype to production without falling apart under real usage, RAG pipelines, LLM-powered chatbots, document intelligence tools, and agentic workflows for legal, fintech, and compliance-heavy domains. Over the past few years I've built and shipped: legal RAG chatbots handling regulatory and compliance documents, production voice agents with real-time STT/TTS pipelines, OCR-driven document extraction systems for invoices and legal PDFs, multi-model benchmarking tools, and automated research-to-content pipelines. I work across the full stack this kind of work demands, retrieval and vector search (Pinecone, LangChain), LLM integration (OpenAI, Gemini, Claude, Groq), prompt engineering, backend systems (FastAPI, Streamlit, PostgreSQL), and browser/workflow automation. What clients consistently come to me for is fixing what's broken, not just building from scratch: chatbots giving inaccurate or off-topic answers, retrieval pipelines returning irrelevant context, brittle prompt logic, and systems that worked in a demo but not in production. I diagnose the actual root cause before touching code, then fix it and test against real scenarios. MSc Data Science & Analytics (Distinction, Cardiff University). Prior backend engineering experience at Accenture. If you're dealing with an AI system that isn't performing the way it should, or need one built right the first time, I'm available for quick-turnaround engagements.

Data Engineer & AI Developer | 3+ Years Financial Industry Experience I build data pipelines, AI-powered applications, and automation systems that run reliably at scale. My background spans web scraping, LLM integration, computer vision, betting automation, and full-stack data dashboards — delivered to clients across the US, UK, Europe, and Japan. 💼 Background — 3+ years at a leading Indian bank building risk models, credit scorecards, and AutoML pipelines — PG Diploma in Big Data Analysis ⚡ What I Deliver — Web scrapers handling 1.2M+ URLs and 120K daily pipelines — LLM/AI apps using GPT-4, Gemini, LangChain, RAG, Text-to-SQL — Full Betting automation for horse racing, golf, and football signals — Computer vision pipelines with YOLOv8 and PaddleOCR — Streamlit dashboards, risk scorecards, and AutoML tools 🏆 Notable Work — PitchBook scraper — 1.2M URLs — Njuskalo — 120K daily real estate listings — Text-to-SQL architecture — BetFare — full Betfair automation — LLM Notebook — $1,420 solo delivery — Anti-bot bypass systems 🛠️ Stack Python · Playwright · Selenium · GPT-4 · Gemini · LangChain · Streamlit · PySpark · SQL · YOLOv8 · PaddleOCR · FastAPI · Betfair API · n8n Clean code. Clear communication. Delivered on time.

🚀 AI/ML Engineer | Deep Learning | LLMs | FastAPI | Streamlit | RAG Pipelines I’m Aryan Saini, a final-year B.Tech student with 2+ years of hands-on experience building intelligent systems using Python, PyTorch, and modern MLOps tools. I specialize in developing full-stack AI applications—from training custom deep learning models to deploying them via scalable APIs and interactive dashboards. 🔍 What I Can Do for You: • Build and deploy deep learning models (NLP, CV, audio) • Architect RAG pipelines & multi-agent LLM workflows • Integrate HuggingFace, Groq API, OpenAI, and custom fine-tuned models • Develop backend APIs using FastAPI or Express • Create modern UIs with Next.js + Tailwind (Streamlit for quick dashboards) • Deploy on AWS, Vercel, Render, or Docker 🛠️ Key Tools & Frameworks: Python, PyTorch, Transformers, LangChain, FastAPI, Streamlit, Docker, MongoDB, PostgreSQL, OpenAI, Groq, HuggingFace, Tavily, AWS EC2/S3 📌 Highlighted Projects: • ASTRALEARN – AI-powered study planner with LLM agents, RAG search, PDF chatbot • VoxAI – Voice cloning & speech synthesis with TTS/VC models (StyleTTS2, SeedVC) • Multimodal Sentiment Analyzer – Video-based emotion recognition system • Sign Language Recognizer – Real-time gesture classification using CNN + LSTM ✅ Why Hire Me? I’m proactive, fast with iterations, and can take your idea from concept to a fully working AI product. Whether you need help with a proof of concept, research prototype, or a production-grade app, I bring strong technical depth and clean execution. Let’s collaborate to turn your AI vision into reality!

Data Scientist | AI & ML Engineer | Data Analyst | Python | SQL | Power BI | LLM & RAG Hi, I'm Shahab 👋 Most businesses are sitting on data they're not using and drowning in manual work they shouldn't be touching. I build the machine learning models, AI applications and dashboards that fix both and I make sure they actually ship, not just sit in a notebook. Over the past 5+ years I've helped companies turn messy data and repetitive workflows into predictive models, LLM-powered tools, and BI dashboards their teams actually use to make decisions. 🔧 𝗪𝗵𝗮𝘁 𝗜 𝗰𝗮𝗻 𝗵𝗲𝗹𝗽 𝘆𝗼𝘂 𝗯𝘂𝗶𝗹𝗱: - Data analysis & exploration, turning messy raw data into clear answers and insights - Statistical analysis & A/B testing, hypothesis testing, significance, and confidence behind your decisions - Data visualization & Power BI dashboards, reports non-technical stakeholders actually understand - Predictive & forecasting models, churn, demand, pricing, classification - AI assistants and chatbots powered by LLMs (OpenAI, Hugging Face) - RAG systems that let a model answer from YOUR documents and data - Power BI dashboards that turn raw data into clear, decision-ready reporting - Python automation that removes hours of manual work every week - End-to-end data pipelines cleaning, processing, deployment 🛠️ 𝗠𝘆 𝗧𝗼𝗼𝗹𝗸𝗶𝘁: - 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 & 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀: Python, Pandas, NumPy, R, RStudio, SQL, Excel - 𝗦𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝘀: SciPy, statsmodels, hypothesis testing, regression, A/B testing - 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: Scikit-Learn, TensorFlow, PyTorch, XGBoost - 𝗟𝗟𝗠𝘀 & 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜: LangChain, RAG, Vector DBs, OpenAI, Hugging Face, AI Agents - 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 & 𝗕𝗜: Power BI, Plotly, Matplotlib, Seaborn - 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 & 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁: FastAPI, REST APIs, Docker, AWS, Streamlit, Git/GitHub Whether it's a machine learning model, an AI chatbot, a RAG application, a Power BI dashboard, or an automation that buys back your week send me a message or invite me to your job. Tell me the problem you're trying to solve and I'll tell you the best way.

I'm a data scientist with a strong background in the fintech industry. I began my career as a data analyst at a tax software company, where I partnered with sales, accounting, and legal teams to support strategic decision-making. Currently, I lead the Risk and Underwriting data science team at a fintech firm, where I work with a variety of data tools and technologies. In my roles, I've worked extensively with SQL databases including Microsoft SQL Server, PostgreSQL, and Redshift, and I use Python daily for data analysis, machine learning, and streamlit apps. I also utilize N8N for building out AI Automations Outside of work, I co-run the Ryan & Matt Data Science YouTube channel, which has grown to 25,000 subscribers and draws more than 70,000 views per month. My mission on Upwork is to document the journey of building a data freelancing side hustle from the ground up.

I build AI-powered Python systems that automate real business tasks, cut manual work, and save measurable time. I combine hands-on AI development with real experience running business operations, so what I build actually fits how teams work day to day, not just how a demo looks. What I can help you with: • Automating repetitive tasks and workflows using Python • Building AI agents and workflows with OpenAI / ChatGPT and structured outputs (JSON) • Generating documents, reports and content with AI • Integrating AI into existing business processes and tools • Connecting APIs and data sources into working automation pipelines Recent work: • EduPlan AI: an AI agent that generates structured educational plans as validated JSON, removing hours of manual planning work • AI-assisted automation deployed in a real museum operation, supporting reservations and reporting workflows • A career managing operations where I personally redesigned booking and admin systems, contributing to a 214% year-on-year growth in one business line If your team is losing time on repetitive manual work, message me with a short description of the process and I'll tell you honestly whether AI automation is a good fit, and roughly how I'd approach it.