Every business loses money to three problems: customers who quietly leave, risk that isn't caught until it's expensive, and revenue patterns nobody's looking at. I build the models and systems that catch these before they cost you. If you're losing customers and don't know who's about to leave I can build a model that flags them weeks in advance, so your retention team works from a list instead of a guess. If you're extending credit, underwriting risk, or worried about defaults I can build an early-warning system that flags distress before it becomes a write-off. If your sales or customer data is sitting in spreadsheets and nobody can answer "which customers are actually worth our marketing budget" I can turn that into a live dashboard and a segmentation model that tells you exactly where to spend. A few results from recent projects: → Built a churn model for a telecom dataset that flagged at-risk customers up to 3 weeks before they left, with a potential 23% reduction in churn. → Built a bankruptcy early-warning model at 85% accuracy, flagging financial distress two reporting periods before default a potential $2M reduction in credit losses. → Segmented customers across transaction data and identified the top 20% driving over 60% of revenue, leading to a projected 40% lift in marketing ROI. → Built a live volatility forecasting API returning risk signals in under 300ms, so risk teams get a real-time feed instead of a weekly report. I work across the full pipeline cleaning and structuring messy data, building the model, and shipping it as something you can actually use: a live dashboard, an API, or a simple tool your non-technical team can open and understand. My insurance cost predictor, for example, is used by non-technical staff with zero training, returning predictions in under 2 seconds. Before data science, I trained in medical microbiology. That background is useful if your data touches healthcare, lab results, diagnostics, or clinical operations I understand the domain, not just the dataset. Tools: Python, SQL, PostgreSQL, MongoDB, ML-Scikit-learn, XGBoost, RandomForest, CNN,SHAP, FastAPI, Streamlit, Dash, Plotly, Power BI. If any of the problems above sound familiar, send me a message with what you're working with I'll tell you honestly whether I can help and what it would take. Availability: Open to both quick tasks and longer projects

NEED INVESTOR-GRADE INSIGHTS — WITHOUT THE SIX-FIGURE OVERHEAD? I turn messy finance and business data into clear dashboards and stories that save hours and drive smart decisions. ABOUT ME • Accomplished data analyst and journalist with 5+ years in the finance / investment sector • Analyses resonate with both technical teams and C-suite leaders PROVEN IMPACT • MoneyGeek – Co-created data-driven personal finance stories that earned 600+ authoritative media backlinks in Q1–Q2 2024 (the company’s best two quarters ever) • Nasdaq & CTS Global (Proprietary Stock Trading Firm) – Cut load latency 12× through Google Apps Script automation – Produced shareholder-insight reports featured in board presentations SKILLS & TOOLS — CLIENT OUTCOMES FIRST • Python – Automate ETL and analysis with Pandas/NumPy, cutting manual prep by up to 80 % • SQL – Design and optimize queries / data models for sub-second dashboards • Power BI & Google Looker Studio – Build investor-quality interactive KPI views (principles transfer seamlessly to Tableau) • Excel/Google Sheets (Apps Script, VBA) – Rapid what-if models and ad-hoc reporting • Web & API Scraping – Capture market data others miss • Data Storytelling & Copywriting – Turn numbers into narratives that earn clicks and links • Machine Learning / scikit-learn – Predictive models with business-ready explanations

I am a Data Scientist and Business Intelligence Specialist with 7+ years of experience delivering impactful, data-driven solutions across e-commerce, education, and tech industries. I help businesses turn messy or complex datasets into clean, actionable insights using tools like SQL, Python, Power BI, Excel, and cloud platforms like AWS and Google Cloud Platform. Whether you need dashboards, automation, reporting, forecasting, or data cleaning, I can support you from start to finish. 🎯 What I Can Help You With: Building insightful dashboards in Power BI or Excel Automating data pipelines and reports Extracting and transforming data from CSV, APIs, or web scraping Forecasting demand or trends using time series Cleaning and organising large datasets for analysis Creating end-to-end Machine Learning models 📊 Selected Projects: Built 200+ dashboards at Daraz (Alibaba Group) to track logistics, delivery, and inventory KPIs Developed customer churn prediction models and demand forecasting using SARIMA Created automated PDF-to-Excel extractors to reduce manual reporting by 80% Scraped and analysed Nepali news and job data using Python With two master’s degrees (Data Science & Mathematics) and a strong focus on clarity and quality, I make sure your data tells the story you need it to. Let’s work together to unlock the value in your data!

I am an interdisciplinary mixed-methods researcher with a background in Environmental Science and Sustainability. I hold a B.S. in Environmental Studies and Sustainability from Michigan State University and a M.S. in Sustainability from Arizona State University. I operate my own consulting firm which provides research and evaluation services to universities, local governments and non-profits. I am a strong qualitative and quantitative researcher with extensive experience in research design and data analysis. I have published numerous peer reviewed journal articles and public facing reports. Please contact me for further questions regarding how I can use my skills to serve your mission!

Build immersive AR/VR applications, Unity games, and interactive 3D experiences that improve training, increase user engagement, and solve real business challenges. Whether you need a VR Training Simulation, Meta Quest application, Unity game, Augmented Reality (AR) app, Enterprise XR solution, Digital Twin, or high-quality 3D assets, I deliver scalable, production-ready solutions from concept to deployment. I'm a Unity Developer, AR/VR Developer, Game Developer, and 3D Artist helping startups, businesses, training institutes, and game studios turn ideas into high-performance products with clean architecture, optimized performance, and intuitive user experiences. Services • Unity 3D Development • AR Development • VR Development • XR & Mixed Reality (MR) Development • Unity Game Development • Multiplayer Game Development • VR Training Simulations • Enterprise XR Applications • Digital Twin Development • Interactive 3D Applications • Mobile, PC & WebGL Game Development • Gameplay Programming • C# Development • Performance Optimization • 3D Modeling & Asset Creation • Environment Design • UI/UX Implementation • Lighting, Materials & Shader Integration Technologies Unity 3D • Unreal Engine • C# • OpenXR • AR Foundation • Meta XR SDK • Unity XR Interaction Toolkit • Photon Fusion • Photon PUN • Mirror • Firebase • PlayFab • REST APIs • Blender • Autodesk 3ds Max • Git Platforms Meta Quest • Quest 2 • Quest 3 • Pico • HTC Vive • Windows • Android • iOS • WebGL Industries Healthcare • Construction • Manufacturing • Education • Logistics • Fire Safety • Industrial Training • Architecture • Real Estate • Enterprise XR • Gaming • Entertainment I focus on building reliable, optimized, and maintainable Unity applications that are ready for production not just prototypes. Whether you're creating a commercial game, enterprise XR application, immersive training simulator, or interactive 3D experience, I can help bring your vision to life. Keywords: Unity Developer, Unity 3D Developer, Unity Game Developer, Game Developer, AR Developer, VR Developer, XR Developer, Unity Expert, C# Developer, Virtual Reality Developer, Augmented Reality Developer, Mixed Reality, Extended Reality, Meta Quest Developer, Quest 3 Developer, OpenXR, AR Foundation, VR Training, Training Simulation, Industrial Simulation, Enterprise XR, Multiplayer Game Development, Interactive 3D, Digital Twin, 3D Artist, 3D Modeler, Environment Artist, Blender, Mobile Game Development, WebGL Development, Unreal Engine.

𝐁𝐮𝐢𝐥𝐝 𝐀𝐈 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐬 𝟏𝟎× 𝐟𝐚𝐬𝐭𝐞𝐫 𝐰𝐢𝐭𝐡 𝐚 𝐝𝐚𝐭𝐚 𝐝𝐫𝐢𝐯𝐞𝐧 𝐒𝐚𝐚𝐒 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫 𝐰𝐡𝐨 𝐨𝐰𝐧𝐬 𝐭𝐡𝐞 𝐨𝐮𝐭𝐜𝐨𝐦𝐞 With 10 + years building data-driven products, 𝐈 𝐭𝐮𝐫𝐧 𝐢𝐝𝐞𝐚𝐬 𝐢𝐧𝐭𝐨 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐫𝐞𝐚𝐝𝐲 𝐌𝐕𝐏𝐬 or modernize existing apps into AI-native solutions, embedding intelligence at every layer so you reach market 𝐟𝐚𝐬𝐭𝐞𝐫 and grow revenue. 𝐆𝐞𝐧𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐄𝐝𝐠𝐞 • Deep toolkit: prompting, agentic frameworks, RAG, guardrails, evals, embeddings, vector databases, fine-tuning, graph + LLM patterns, MCP, async pipelines, voice stacks • AI-assisted coding mastery: Copilot, Cursor, Claude Code for rapid authoring, testing, refactoring • Product instincts: craft usable prototypes from high-level concepts without pixel-perfect specs • Continuous learning: constant hands-on projects and active AI community engagement 𝐀𝐈 𝐂𝐚𝐩𝐚𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬 • 𝐀𝐈 𝐚𝐠𝐞𝐧𝐭𝐬 𝐚𝐧𝐝 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 – streamline support, compliance, finance, supply chain, HR, fraud monitoring with LangChain, LangGraph, n8n • 𝐌𝐮𝐥𝐭𝐢-𝐚𝐠𝐞𝐧𝐭 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞𝐬 – coordinate complex workflows autonomously for end-to-end processes • 𝐑𝐀𝐆 𝐚𝐧𝐝 𝐤𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 𝐫𝐞𝐭𝐫𝐢𝐞𝐯𝐚𝐥 – secure chat with private data using GPT-4o, Llama 3, Claude, Gemini, Mistral, custom LLMs • 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐟𝐨𝐫 𝐠𝐫𝐨𝐰𝐭𝐡 – content automation, chatbots, Alexa-like voice experiences, realtime voice agents • 𝐀𝐈-𝐞𝐧𝐚𝐛𝐥𝐞𝐝 𝐬𝐜𝐫𝐚𝐩𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐫𝐚𝐰𝐥𝟒𝐀𝐈 – large-scale data collection and enrichment pipelines • 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐫𝐞𝐜𝐨𝐦𝐦𝐞𝐧𝐝𝐚𝐭𝐢𝐨𝐧 𝐞𝐧𝐠𝐢𝐧𝐞𝐬 – personalization, targeting, predictive analytics • 𝐆𝐫𝐚𝐩𝐡 𝐝𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬 – knowledge graphs and relationship insights powering advanced queries • 𝐒𝐞𝐜𝐮𝐫𝐞 𝐬𝐜𝐚𝐥𝐚𝐛𝐥𝐞 𝐝𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 – Python, Django, FastAPI, Docker, Kubernetes, Supabase, Vercel with CI / CD on AWS, Azure, GCP 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐒𝐭𝐚𝐜𝐤 • dbt for tested analytics transformations • Apache Airflow for orchestrating ETL and AI feature pipelines • Kafka and serverless queues for streaming and batch ingestion • Elasticsearch, Logstash, Kibana • Databricks 𝐂𝐨𝐫𝐞 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬 • CRM and RevOps engineering – lead scoring, SDR automation, real-time enrichment, Salesforce and HubSpot sync • Agent orchestration – LangGraph, Autogen, MCP for tool calling and long-running memory • Stripe billing – subscriptions, usage, metered add-ons, tax handling, zero-downtime migrations • Full-stack SaaS delivery – Next.js and React fronts, Supabase Edge Functions, GraphQL APIs, blue-green deploys • Conversational and medical analytics – HIPAA-ready voice and chat intelligence with pgvector, Qdrant, Pinecone 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 𝐒𝐧𝐚𝐩𝐬𝐡𝐨𝐭 Next.js · React · TypeScript · Supabase · Vercel · Django · FastAPI · LangChain · LangGraph · MCP · OpenAI · Kafka · Postgres · Redis · Qdrant · Pinecone · Stripe · Databricks · dbt · Apache Airflow · Azure AI Search · AWS Lambda · GCP Cloud Run · Terraform · Docker · Kubernetes 𝐒𝐮𝐜𝐜𝐞𝐬𝐬 𝐒𝐭𝐨𝐫𝐢𝐞𝐬 • Lifted lead conversion 43 % with an AI qualification engine • Deployed a HIPAA voice-analytics platform processing 1,000 + calls daily • Unified billing for three SaaS apps with zero churn via Stripe migration • Cut cloud spend 60 % by rebuilding ETL on serverless architecture 𝐖𝐡𝐚𝐭 𝐒𝐞𝐭𝐬 𝐌𝐞 𝐀𝐩𝐚𝐫𝐭 Ownership • Agility • Outcome focus • Active LangChain contributor • Relentless learner who stays ahead of GenAI advances 𝐍𝐞𝐱𝐭 𝐒𝐭𝐞𝐩𝐬 1 • Share your challenge and goals 2 • Receive clarifying questions and a phased action plan within 24 hours 3 • Kick off the first sprint after aligning on scope, KPIs, and timeline Ready to ship a production-ready AI MVP or modernize your existing app? Let’s talk.

I reduced false-positive alerts by 82% for a power plant client, took an NLP system from 7% to 67% accuracy while cutting 700 manual rules down to 5, and dropped daily complaints by 60% for a telecom with over a million customers. That's the kind of AI and machine learning I build: work that moves a real number, not a demo that dies after the pitch. I build: • Custom ML models and predictive analytics (XGBoost, Scikit-learn, anomaly detection, demand and sales forecasting) • NLP and LLM systems (BERT fine-tuning, sentiment analysis, entity recognition, text summarization) • RAG chatbots and AI agents (LangChain, LlamaIndex, OpenAI/ChatGPT, Neo4j knowledge graphs, vector databases like Milvus and Pinecone) • Computer vision applications (image processing, colorization, OpenCV) • Data engineering pipelines (ETL, Airflow, Kafka, AWS Lambda, S3, Step Functions) • Web scraping and data collection at scale (Selenium, Scrapy, Apify) • Interactive dashboards and reporting tools (Plotly, Dash, Bokeh) Delivered this work across healthcare, insurance, telecom, energy, retail, e-commerce, restaurants, recruitment, social media, automotive, education, and maritime shipping, for clients in the US, UK, Canada, UAE, Australia, Europe, and Brazil. Stack: Python, Django, Flask, FastAPI, TensorFlow, Keras, Hugging Face Transformers, OpenAI API, LangChain, Docker, AWS, PostgreSQL, MySQL, Pandas, NumPy. I scope clearly before writing code, give honest feedback if your spec has gaps, and send regular updates instead of going dark until the deadline. Message me with what you're building, and I'll tell you straight whether I're the right fit.

🔵 15+ years developing first-class web, mobile and AI apps that achieve business goals and hit the mark. As an AI developer and web developer, my expertise led my team to work with Fortune 500 companies such as Philip Morris, Coca-Cola, DANONE, McDonald’s (Ukraine), and Kimberly-Clark. I started as a programmer in 2006. Now, I'm CTO at Brights — a software company focused on web, mobile and AI products, with 120 person engineering team who specialize in AI Chatbot systems, advanced AI Integration solutions, AI Saas web and mobile app development. As a deal closer, I also work closely with clients during product strategy and delivery. I support companies through every stage of development backed by experienced AI developer, AI Chatbot, AI API Integration developer — from MVPs to scaling including AI developer | AI Chatbot | AI API Integration Our experience includes API integration, complex API integrations, and enterprise-grade AI API Integration. Within the last 14 years, I have delivered 330+ projects across fintech, insurtech, healthcare, eCommerce, real estate, education, logistics, and more as an AI developer | AI Chatbot | AI API Integration developer. 👩‍💻 Technical stack I cover as an AI developer | AI Chatbot | AI API Integration: Front-end: • Vue.js, React, Angular, Next.js, Redux, react native Back-end: • ASP.NET, PHP, Node.js, GraphQL Mobile: • React Native, iOS, Android, with support from a dedicated Mobile app developer and Flutter developer as well as Mobile game developer Artificial Intelligence tech stack I cover as an AI developer | AI Chatbot | AI API Integration: • Python developer workflows, LangChain, GPT-4o, gpt-3, OpenCV, Hugging Face, RAG, LLM, AI machine learning, and scalable machine learning pipelines Data & Architecture: • PostgreSQL, MongoDB, Redis, Elasticsearch for both mobile app marketing and web • Supported by experienced data scientist and full stack developer teams Integrations: • Analytics, CMS, Swagger, botpress, chatbots, AI API, and automation systems with reliable API integration 🏆 I deliver web and mobile solutions since 2011 and have 15+ years building custom software with 330+ products shipped as an AI developer 🌍 As an AI developer I worked with clients in 30+ countries - SMBs to Fortune 500 ⭐️ 5.0 on Clutch · ISO / IEC 27001 certified 🔁 89% client retention and 36-month average partnership 📈 As an AI developer and AI Chatbot specialist I scaled products to 100M+ users (Headway project) and 50M+ installs (BetterMe project) ⚡️ Handled 2M users/ hour at peak and delivered 10x API performance (Yasno project) as a AI Chatbot | AI API Integration specialist 💰 10x infrastructure cost cut and < 0.1% launch defect rate (Shugaland project) 🤖 AI in production: agents, RAG & computer vision · up to 80% expert-level accuracy delivered as an AI Chatbot | AI API Integration and AI developer 🔗 50+ integrations: Stripe, Twilio, OpenAI, Shopify, HubSpot, Vimeo & more (треба перевірити *) 💼 Trusted by PMI, Suzuki, Avis, Samsung, Mastercard & Microsoft 🔒 Production-grade, secure code your team can maintain 🔗 As an AI API Integration specialist I work with Stripe, Twilio, Google Maps, Vimeo, Okta, HubSpot, GA4, QuickBooks, LiqPay, BankID, Nova Poshta, Plate Recognizer, IMATAG, Mixpanel, and dozens more. If you are looking for AI developer | AI Chatbot | AI API Integration or AI Automation specialist with strong mobile app design experience (Figma mobile app) - drop me a line.

I help businesses design, build, and scale AI-driven systems from data pipelines and predictive models to cutting-edge GenAI/LLM applications with robust DevOps practices for seamless production deployment. My Expertise AI & Machine Learning – Model development, training pipelines, feature engineering, model optimization, MLOps workflows Data Science & Analytics – Data cleaning, exploratory analysis, statistical modeling, forecasting, and visualization LLMs & GenAI – Custom LLM integration, prompt engineering, RAG systems, fine-tuning, vector database design (Milvus, Pinecone, Weaviate) MLOps & DevOps – CI/CD pipelines, model deployment (Kubernetes, Docker, Terraform), GPU optimization, monitoring, and scaling DataOps – Data pipelines (Airflow, Spark, Kafka), data validation, and versioning (DVC, MLflow) Why Work With Me End-to-end ownership — from data to deployed product Strong focus on reliability, reproducibility, and cost optimization Clear communication, documentation, and long-term maintainability Proven experience across multiple domains and cloud environments Tech Stack Python, PyTorch, TensorFlow, Scikit-learn, LangChain, HuggingFace, MLflow, Kubeflow, Docker, Kubernetes, Terraform, AWS/GCP/Azure Let’s discuss how I can help you build reliable and scalable AI solutions for your business.

Senior AI/LLM engineer for enterprise teams. Built a system that saved 40 hrs/week of expert time by automating knowledge retrieval across 23 years of project data. I build for production, not demos. How I Can Help You Scale: ✅ AI Agent Development & Generative AI: I ship production-grade multi-agent systems, RAG pipelines, and agentic workflows using LangGraph, LlamaIndex, Claude, and GPT-4. I design the full intelligence layer: memory architecture, retrieval logic, orchestration, and evaluation frameworks and guardrails. ✅ Data Engineering & ETL/ELT: I architect clean, scalable data warehouses in Snowflake, Microsoft Fabric, and Redshift. My pipelines built with Apache Airflow, dbt, and Airbyte are designed to be reliable, well-documented, and maintenance-free. I have delivered full Microsoft Fabric medallion architectures from Bronze through to Gold and the Semantic Model layer for enterprise clients operating across multiple countries. ✅ Machine Learning & Predictive Analytics: From 15-year demand projections for industrial firms to stock return pipelines analysed over 23 years of market data, I turn raw numbers into high-conviction forecasts. My models combine econometric rigour with modern ML to handle real-world uncertainty, not just clean benchmark datasets. ✅ Business Intelligence & Dashboards: I create BI-ready semantic models and intuitive dashboards in Power BI, Looker Studio, and Apache Superset, connected to production-grade data models underneath, not spreadsheets dressed up as dashboards. Why Clients Work With Me: ✅ I have worked across carbon markets, fintech, non-profits, supply chain, SaaS, and logistics. I understand the domain before I touch the stack, not just the tools. ✅ I operate as an individual engineer, technical lead, or AI product manager depending on what the engagement needs. ✅ My work is clean and well-documented. I communicate in plain English, so I embed into teams without friction and hand over systems that do not fall apart after I leave. I am available for project-based builds or ongoing retainer engagements. Drop me a message with a rough description of the problem you're solving, and let's collaborate!