Hire the Best Streamlit Specialists

AI/ML Engineer building production systems that automate knowledge work and scale decision-making. Delivered intelligent automation solutions that reduced proposal turnaround by 60%, cut document review time from hours to minutes, and enabled real-time emotional AI for interactive experiences. CORE EXPERTISE: LLM Production Systems: Architecting multi-agent workflows, RAG pipelines, and memory-augmented AI with LangChain, OpenAI, and Anthropic APIs Semantic Intelligence: Building vector search engines (FAISS, Weaviate, pgvector) and retrieval systems optimized for accuracy and explainability AI-Native Applications: Full-stack development from FastAPI backends to Streamlit interfaces, containerized and cloud-deployed (AWS, GCP, Supabase) Applied ML & NLP: Fine-tuning domain-specific models (LoRA, DistilRoBERTa), emotion recognition, and sentiment analysis for real-world applications PAST PROJECTS: ✅ Lyra – Memory-Augmented AI Assistant - Engineered self-evolving reasoning system with epistemic memory, contradiction detection, and cognitive homeostasis engine. Solved the core LLM limitation of context forgetting through vector embeddings and dissonance resolution architecture. ✅ Sales Workflow Automation Platform - Built end-to-end GPT-powered system integrating Zapier and n8n that automated lead qualification, proposal generation, and follow-ups. Reduced proposal turnaround time by 60% while standardizing client outreach for small teams without technical staff. ✅ Legal Discovery Assistant - Developed semantic search and summarization pipeline using OpenAI embeddings with auditable reasoning traces. Cut document review time from hours to minutes while maintaining interpretability for compliance workflows. ✅ Emotion-Aware NPC Engine (Unity Integration) - Created real-time speech emotion recognition pipeline combining LogMel emotion detection, DistilRoBERTa sentiment analysis, and MiniLM semantic similarity. Enabled dynamic NPC responses based on player voice tone and emotional context through FastAPI-Unity integration. ✅ LLM BugFixer & Code Refactoring System - Built GitHub-integrated automation that triages issues, interprets stack traces, and generates test-validated fixes using prompt engineering and code context embeddings. Demonstrated practical LLM application in software maintenance beyond text generation. TECHNICAL STACK: AI/ML Frameworks: LangChain, LangGraph, OpenAI API, Anthropic Claude, Hugging Face Vector & Semantic Search: FAISS, Weaviate, pgvector, Pinecone, Sentence Transformers Backend & APIs: Python (5+ years), FastAPI, Flask, Google Apps Script Infrastructure: Docker, AWS, GCP, Supabase, GitHub Actions Automation: n8n, Zapier, workflow orchestration Evaluation & Monitoring: LangSmith, custom prompt evaluation frameworks, telemetry systems ADDITIONAL CAPABILITIES: Fine-tuning pipelines optimized for resource efficiency (LoRA, domain adaptation) NLP-powered matching systems (resume-job fit scoring, semantic similarity ranking) Data storytelling and insight extraction (pandas, scikit-learn, visualization) Prompt engineering frameworks with A/B testing and quantifiable metrics WHY ORGANIZATIONS CHOOSE ME: ✅ Production-first mindset – I build systems that ship, not just prototypes. Every solution includes guardrails, evaluation metrics, and deployment infrastructure. ✅ Business outcome focus – I translate technical capabilities into measurable ROI: time saved, processes automated, accuracy improved. ✅ Full-stack execution – From model architecture to cloud deployment, I handle the complete pipeline so you don't need multiple specialists. ✅ Transparent collaboration – Clear communication, realistic timelines, and alignment on what success looks like. Let's connect and explore how intelligent automation can transform your operations.

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.

I am Alex, a Top-Rated Senior Python Developer with over 5 years of experience delivering cloud-native, data-driven solutions across analytics and machine learning use cases. Skilled in designing, developing, and deploying Python-based applications on AWS using containerized architectures, with strong expertise in backend development (FastAPI), frontend interfaces (Streamlit, React), and RESTful APIs. Experienced in building end-to-end Machine Learning pipelines for credit risk modeling, implementing CI/CD and Infrastructure as Code workflows, and integrating scalable ETL processes. Proven ability to develop, test, deploy, and maintain reliable systems that translate complex business requirements into production-ready solutions. If you need a Streamlit web application or a FastAPI backend, connect with me! By working with me you will find not only an expert in uncovering patterns from data that will boost the profitability of your business, but also someone who tries to understand the bigger picture in order to deliver often more valuable insights than those required.

Most developers will build exactly what you spec. The problem is that what gets specced is rarely what actually solves the business problem. The gap between those two things is where AI projects fail, and closing that gap before writing any code is how I work. I have been building production AI systems and full-stack platforms for several years. Not prototypes. Systems that handle real users, real data and real consequences when something breaks. TaxForce is a 37-agent system running inside a real CPA firm covering document intake, risk scoring, audit defense, deadline tracking and client communication. The Facebook Self-Healing Ads platform is a closed-loop AI system that monitors, diagnoses and fixes campaign performance without human intervention. PAM AI handles thousands of concurrent dealership calls across 8 plus CRM integrations. Dentva is a HIPAA-compliant SaaS handling patient scheduling in production daily. These are not templates strung together, they are properly engineered systems with error handling, logging and recovery paths built in from the start. Before this I spent a year and a half at Turing doing RLHF and model evaluation on the OpenAI and Claude model families. That experience shapes how I evaluate AI output and design systems that behave reliably rather than impressively in demos. On the full-stack side I was CTO on RIZZ, a React Native dating app that grew past 100K users. I have worked on Junia AI, Slides and TopSocialAI across multi-tenant architecture, real-time systems and mobile at scale. These are confirmed production experience not claimed skills. The stack I work in daily is Next.js, React, TypeScript, Python FastAPI, Node.js, Supabase, PostgreSQL, LangChain, LangGraph, OpenAI, Anthropic API, Retell AI, Vapi, Twilio, ElevenLabs, Deepgram, n8n, Make and AWS. If you are building something in agentic systems, AI automation, full-stack SaaS or voice AI and you want someone who will tell you honestly what the right approach is before agreeing to build it, that is the conversation I am interested in having.

**Stop wasting hours on broken reports, dashboards and unreliable models.** Every hour spent on unreliable data is an opportunity you are never getting back. Now, I could talk about my 3+ years of experience in data science and analytics. I could mention how I’ve helped businesses increase revenue, retain clients, reduce churn, or improve decision-making. I can even talk about my confidence in providing you with GUARANTEED satisfaction throughout our time working together. But I won’t do that🙂 Instead, let me give you the exact strategies I use to deliver results for my clients: - Clean and structure data for reliable analysis - Build predictive models to forecast trends and performance - Automate reports and dashboards for real-time insights - Analyse customer behaviour to improve marketing or sales - Identify hidden patterns that impact growth and cost - Present results in clear, visual formats with concrete guidance Simple. Right? But not easy. And definitely time-consuming. Now if you don't want to deal with all this, you've come to the right place. As a valued client, not only do you get GUARANTEED satisfaction, but you also get exceptional service and support. If you are looking for someone who is skilled in what they do, reliable, organised, and has excellent communication skills, then look no further. My daily work involves: - Advanced Excel and Google Sheets, - SQL databases, - Python & R analytic, machine learning and deep learning. - Power BI dashboards, - Streamlit data apps, - Web scraping and - API-based automation.

🚀 Top 1%, Expert-Vetted, AI Engineer 🚀 𝐒𝐞𝐧𝐢𝐨𝐫 𝐀𝐈/𝐌𝐋 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐰𝐢𝐭𝐡 𝟖+ 𝐲𝐞𝐚𝐫𝐬 𝐛𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐀𝐈 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐭𝐡𝐚𝐭 𝐜𝐮𝐭 𝐜𝐨𝐬𝐭𝐬, 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐞 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬, 𝐚𝐧𝐝 𝐝𝐞𝐥𝐢𝐯𝐞𝐫 𝐑𝐎𝐈. I have helped startups and enterprises across healthcare, fintech, ecommerce, and SaaS ship intelligent AI products that scale from day one. I handle everything end to end, from idea to deployed production-grade AI. Have a great idea but 𝒏𝒐𝒕 𝒔𝒖𝒓𝒆 𝒘𝒉𝒆𝒓𝒆 𝒕𝒐 𝒔𝒕𝒂𝒓𝒕? Send me a DM and we will arrange a 𝟒𝟎-𝐦𝐢𝐧 𝐜𝐨𝐧𝐬𝐮𝐥𝐭𝐚𝐭𝐢𝐨𝐧 📞. ★ 𝐖𝐡𝐚𝐭 𝐈 𝐃𝐞𝐥𝐢𝐯𝐞𝐫 → 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 & 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬: Autonomous multi-agent systems using LangGraph, CrewAI, AutoGen, and MCP that plan, reason, and execute across APIs, CRMs, and SaaS tools without human intervention. → 𝐑𝐀𝐆 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 & 𝐋𝐋𝐌 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬: Production RAG pipelines with hybrid search, contextual memory and hallucination mitigation using LlamaIndex, LangChain, Pinecone, Qdrant, Weaviate, and pgvector. → 𝐀𝐈 𝐂𝐡𝐚𝐭𝐛𝐨𝐭𝐬 & 𝐕𝐨𝐢𝐜𝐞 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬: Custom AI chatbots and inbound/outbound voice agents for customer support, lead qualification and appointment booking via web, WhatsApp, and phone using GPT-4o, Claude, Whisper, VAPI, and Retell AI. → 𝐋𝐋𝐌 𝐅𝐢𝐧𝐞-𝐓𝐮𝐧𝐢𝐧𝐠 & 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈: Domain-specific fine-tuning using LoRA, QLoRA, RLHF and DPO on OpenAI, Claude, Mistral, LLaMA 3, and DeepSeek for production-ready specialized model behavior. → 𝐀𝐈 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 & 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: AI integration into your CRMs, ERPs and databases via n8n, Make, and Zapier with OCR pipelines, web scraping, ETL automation and event-driven API orchestration. → 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 & 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭 𝐀𝐈: Object detection (YOLOv8), image classification, facial analytics and intelligent OCR for structured data extraction from PDFs and scanned documents. → 𝐌𝐋𝐎𝐩𝐬, 𝐂𝐥𝐨𝐮𝐝 & 𝐀𝐈 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞: Scalable model deployment on AWS Bedrock, GCP Vertex AI and Azure with Docker, Kubernetes, CI/CD, LangSmith observability and token cost optimization. ★ 𝐍𝐨𝐭𝐚𝐛𝐥𝐞 𝐑𝐞𝐬𝐮𝐥𝐭𝐬 ✔ 𝐀𝐈 𝐂𝐚𝐥𝐥 𝐒𝐜𝐨𝐫𝐢𝐧𝐠 𝐒𝐲𝐬𝐭𝐞𝐦: 90% faster evaluations, $140K+ saved in year one, 3x agent performance visibility across 10K+ calls/month. ✔ 𝐃𝐨𝐜-𝐀𝐈 𝐎𝐂𝐑 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞: 94% less manual data entry, $110K saved/yr, 50K+ documents processed/month at 99% accuracy. ✔ 𝐌𝐞𝐝𝐢𝐜𝐚𝐥 𝐑𝐞𝐜𝐨𝐫𝐝 𝐄𝐱𝐭𝐫𝐚𝐜𝐭𝐢𝐨𝐧 (𝐅𝐢𝐧𝐞-𝐓𝐮𝐧𝐞𝐝 𝐋𝐋𝐌): 98% less processing time, $160K saved/yr, zero compliance errors in production. ✔ 𝐋𝐢𝐜𝐞𝐧𝐬𝐞 𝐏𝐥𝐚𝐭𝐞 𝐑𝐞𝐜𝐨𝐠𝐧𝐢𝐭𝐢𝐨𝐧 (𝐘𝐎𝐋𝐎𝐯𝟖): 96% fewer manual checks, $85K saved/yr, real-time detection at 60fps. ✔ 𝐑𝐀𝐆 𝐑𝐞𝐩𝐨𝐫𝐭 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧 𝐒𝐲𝐬𝐭𝐞𝐦: 98% faster prep, $200K saved/yr, zero hallucination rate across 5K+ reports. ✔ 𝐔𝐆𝐂 𝐕𝐢𝐝𝐞𝐨 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 (𝐧𝟖𝐧 + 𝐆𝐞𝐧𝐀𝐈): 90% production time cut, $120K saved/yr, 500+ videos/month fully automated. ✔ 𝐒𝐭𝐚𝐛𝐥𝐞 𝐃𝐢𝐟𝐟𝐮𝐬𝐢𝐨𝐧 𝐋𝐨𝐑𝐀 𝐅𝐢𝐧𝐞-𝐓𝐮𝐧𝐢𝐧𝐠: 95% lower compute cost, $90K saved per model cycle, brand-consistent image generation at scale. ★ 𝐖𝐡𝐲 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 𝐖𝐨𝐫𝐤 𝐖𝐢𝐭𝐡 𝐌𝐞 ✔ 𝐅𝐢𝐧𝐥𝐚𝐧𝐝, 𝐄𝐔 𝐁𝐚𝐬𝐞𝐝: EU timezone, GDPR-compliant development, and European enterprise communication standards with zero barriers. ✔ 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐳𝐞𝐝 𝐓𝐞𝐚𝐦: I work alongside a dedicated team of AI engineers, ML specialists, and full-stack developers giving you agency-level capacity with direct senior ownership on every project. ✔ 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐅𝐢𝐫𝐬𝐭: I build AI that handles real traffic, edge cases, and failures gracefully, not demos that break under pressure. ✔ 𝐑𝐎𝐈-𝐃𝐫𝐢𝐯𝐞𝐧: Feasibility, scalability, and cost impact assessed before a single line of code is written. ✔ 𝐓𝐫𝐚𝐧𝐬𝐩𝐚𝐫𝐞𝐧𝐭 & 𝐑𝐞𝐥𝐢𝐚𝐛𝐥𝐞: Honest timelines, clear progress updates, and full post-launch support every time. 𝐋𝐞𝐭'𝐬 𝐁𝐮𝐢𝐥𝐝: Send me your project and I will give you a straight, honest assessment of what is feasible, what it will take, and how to build it the right way.