Real data engineering does not just move data. It eliminates manual reporting. It replaces stale spreadsheets with live dashboards. It turns fragmented systems into a single source of truth that updates while you sleep. That is what I build. I design end-to-end data systems and data architectures using Python, SQL, Power BI, and cloud-native stacks. My clients stop exporting untrusted CSVs and stop making decisions based on broken data. What I actually build: - ETL/ELT data pipelines and data workflows using PySpark, Apache Spark, Azure Data Factory, SSIS, and Apache Airflow. Automated data ingestion, data transformation, and data integration across Azure, AWS, and GCP. - Cloud data warehouses and data lakes on Snowflake, Databricks, BigQuery, Redshift, Azure Synapse, and Microsoft Fabric. Architected with data modelling, data governance, change data capture, and data quality frameworks using dbt. - Business intelligence and data visualization in Power BI, Tableau, and Looker. Executive dashboards connected directly to your warehouse with real-time data analytics. - Data analysis and data scraping using Python, Pandas, and NumPy. External market data and internal metrics pulled directly into your pipeline. - Database building and infrastructure modernization with PostgreSQL, Docker, Kubernetes, and API integration. Legacy data migration to modern cloud architectures including Azure Data Engineer solutions. - Big data and streaming platforms using Apache Kafka and Streamlit apps for custom analytics when standard BI tools hit their ceiling. "Before I build anything, I map it." Most data projects fail because someone skipped the architecture phase. I audit what is manual, where data breaks between tools, and what a 10x version of your operations looks like. Only then do we build. If you are spending real money on broken pipelines, stale reports, or systems that do not talk to each other, that is the problem I solve. Message me with your biggest data bottleneck. I will tell you within 24 hours whether a proper data system fixes it and what that would look like.

Hi, I am a top rated software engineer, focused on computer vision, Python-based scripting and automation. Don't hesitate to contact me if you need custom solutions in following areas: - OCR, Object detection and classical Computer Vision. - GUI development using PySide with various business logic backends. - Automation, scripting and generic algorithmic solutions. Past project examples: - Full OCR pipeline using OpenCV, PaddleOCR, Docker and FastAPI for document data extraction. - A microscope controller desktop application, integrating web API and real-time image processing with OpenCV. - A data processing/analytics desktop application with Pandas backend and matplotlib for data processing and insights; PostgreSQL for data storage. - A game automation bot with OpenCV, PyTesseract and PyAutoGui libraries for fully automated in-game resource gathering.

Top rated GIS Developer | Cloud Architect | Tech Entrepreneur 🌎 Having 4+ years of experience and over 1000+ hours delivered on Upwork with a 100% Job Success score, I build robust, user-friendly GIS applications that turn raw spatial data into clear business insights. These are the industries in which I have created projects as a GIS developer: - SaaS 🌐 - real-estate 🏡 - environment & ecotech🌳 I build end-to-end platforms that merge geospatial intelligence, scalable cloud backends, and modern UIs. From urban analytics & neighborhood profiling to environmental risk mapping and enterprise-grade spatial APIs, my work is where tech meets real-world impact. 🏆 Upwork Top Rated (Top 3% globally) – trusted by international clients for delivering high-quality, cost-optimized solutions. 💡 How I create value for clients and increase ROI by 40%: Smart Cloud Architecture – efficient AWS design, auto-scaling, cost savings. Secure Open-Source Frameworks – GeoServer, PostGIS, Pelias, MapServer, Django, DRF etc. Cost Efficiency – handling backend + GIS + DevOps myself → avoiding unnecessary extra dev hires. 🎯GIS Expertise: Interactive Map Visualization, Mapping app, Routing Problems, Algorithm, Data Scraping, Report generation using geospatial analysis (PDF), Route optimization 🔧 Tech Stack Highlights: 🌐 Backend & Web: Django, DRF, FastAPI, Node.js, Payments system (Stripe) 🗄️ Databases: PostgreSQL + PostGIS, MySQL, MongoDB, AWS Timestream 🗺️ GIS Tools: GeoServer, MapServer, QGIS, GDAL/OGR, TileServer-GL, OSRM, Tileserver-GL, Osmium ☁️ Cloud & DevOps: AWS (EC2, S3, Lambda, RDS, Timestream), Docker, CI/CD, Nginx, Gunicorn 📊 Data & ML: Pandas, NumPy, Scikit-learn, MLflow, AWS MLOps, Spark (basic) 🔒 Security & APIs: Token-based access, role-based permissions, API gateway design 🔍 Datasources: Raster | Vector | Point Clouds, Openstreetmap, Google Maps, GOES/Landsat/Sentinel Hub, SAR data. 💪 With deep expertise in GIS, geospatial mapping, and web development, I deliver solutions faster and at higher quality than most developers out there. 🤝 My goal is to help you scale your business effectively—let’s connect for a chat or call to discuss your challenges and how I can help you achieve your goals!

I am a Full-Stack Developer and Data Engineer with 10+ years of experience building automation systems, data pipelines, and scalable platforms. Over the years, I have worked with startups, agencies and enterprise clients, helping them solve technical challenges ranging from API integrations and workflow automation to analytics, cloud infrastructure, and custom software development. My background spans full-stack development, data engineering, and the Google, Meta and Amazon ecosystem, and I have had the opportunity to lead development teams as well as work hands-on building and scaling products from the ground up. AMAZON API INTEGRATIONS & AUTOMATION I specialize in building systems around the Amazon ecosystem. APIs I work with regularly: 1. Amazon Selling Partner API (SP-API) – all modules, including SP API MCP Server 2. Amazon Advertising API – all modules, including Ads API MCP Server 3. Amazon MWS API – all modules 4. Amazon DSP API 5. Amazon Marketing Stream (AMS) 6. Amazon Business API 7. Amazon Marketing Cloud (AMC) API 8. AI Automation for e-commerce businesses – chatbots, repricing, inventory, and workflow automation Typical solutions I build: 1. Amazon repricing and competitor monitoring tools 2. Automated inventory and order management systems 3. Advertising analytics dashboards 4. Amazon Seller Central workflow automation 5. Google Sheets / Looker dashboards powered by Amazon data 6. Bulk product listing and catalog management tools 7. PPC performance monitoring and reporting systems DATA ENGINEERING & ANALYTICS I build data pipelines and analytics systems that transform marketing and operational data into clear insights. 1. ETL pipelines using Python and Apache Airflow 2. Data warehouses using BigQuery, Redshift, and PostgreSQL 3. Marketing data integrations (Amazon Ads, Google Ads, Meta Ads) 4. Data processing with Python, Pandas, NumPy 5. Dashboard development using Looker Studio / Data Studio These systems allow teams to monitor performance, automate reporting, and make faster decisions. FULL STACK DEVELOPMENT I also build complete platforms and SaaS products when needed. Backend - Python (Django, Flask) - Node.js - Laravel / PHP - ASP.NET Frontend - React - Tailwind / Bootstrap Databases - PostgreSQL - MySQL - MongoDB - BigQuery Cloud & Infrastructure Most of my systems run in AWS environments. - AWS Lambda - EC2 - S3 - RDS - Redshift - CI/CD pipelines - Docker-based deployments I design infrastructure that is scalable, reliable, and easy to maintain. FEEL FREE TO REACH OUT!

I help businesses eliminate repetitive tasks, connect disconnected systems, and scale operations through AI-powered automation and machine learning. If your team is drowning in data entry, switching between tools, or answering the same questions on repeat, I build the systems that fix it. 𝐖𝐡𝐨 𝐈 𝐀𝐦 I am an AI/ML Engineer and Automation Specialist with deep expertise in machine learning, large language models (LLMs), AI agents, workflow automation, and Python development. I don't just write code, I understand business operations, ask the right questions, and deliver production-ready systems that solve real problems. My background spans custom AI/ML solutions, conversational AI, predictive models, backend development, and end-to-end automation pipelines. I have successfully delivered AI-powered platforms for service businesses, agencies, clinics, manufacturing operations, and e-commerce companies. 𝐖𝐡𝐚𝐭 𝐈 𝐃𝐨 𝟏. 𝐀𝐈/𝐌𝐋 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 – Predictive analytics, classification, recommendation systems, anomaly detection, custom ML pipelines, and fine-tuning LLMs (Llama, Mistral, OpenAI) on proprietary data. 𝟐. 𝐋𝐋𝐌 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 & 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 – LLM-powered applications, autonomous AI agents, RAG (retrieval-augmented generation), function calling, and tool use with OpenAI GPT-4o, Claude, Gemini, and Llama. 𝟐. 𝐋𝐋𝐌 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 & 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 – Inbound/outbound voice agents (VAPI, Retell AI, Twilio), AI chatbots for websites, WhatsApp, Slack, and SMS, plus omnichannel AI assistants with unified context. 𝟒. 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 – n8n, Make, and Python-based automations connecting CRMs, databases, email, Slack, and hundreds of other tools. AI-powered workflows using LLMs for classification, extraction, and content generation. 𝟓. 𝐏𝐲𝐭𝐡𝐨𝐧 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 & 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 – RESTful APIs, data pipelines (ETL), web scraping, custom automation scripts, and backends for AI applications using FastAPI, Django, or Flask. 𝐑𝐞𝐚𝐥 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 𝐈 𝐇𝐚𝐯𝐞 𝐁𝐮𝐢𝐥𝐭 𝐒𝐨 𝐒𝐩𝐞𝐜𝐢𝐚𝐥 𝐌𝐨𝐛𝐢𝐥𝐞 𝐌𝐞𝐜𝐡𝐚𝐧𝐢𝐜 – AI-infused mobile application and operational platform including dispatch, customer tracking, automated notifications, and backend dashboards. 𝐀𝐥 𝐀𝐫𝐚𝐛𝐢 𝐂𝐨𝐦𝐩𝐚𝐧𝐲 – Dispatch system for operations and maintenance management with real-time job assignment, status tracking, and reporting. 𝐌𝐲𝐬𝐭𝐢𝐜𝐚𝐥 𝐀𝐠𝐞𝐧𝐜𝐲 & 𝐈𝐧𝐭𝐞𝐫𝐨 𝐃𝐢𝐠𝐢𝐭𝐚𝐥 – AI automation and proposal generation systems that reduced proposal creation time from two days to under two hours. 𝐂𝐥𝐢𝐧𝐢𝐜 𝐖𝐡𝐚𝐭𝐬𝐀𝐩𝐩 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 – AI chatbot for appointment booking, prescription reminders, FAQs, and patient follow-ups, fully integrated with their scheduling system. 𝐄-𝐜𝐨𝐦𝐦𝐞𝐫𝐜𝐞 𝐑𝐞𝐜𝐨𝐦𝐦𝐞𝐧𝐝𝐚𝐭𝐢𝐨𝐧 𝐄𝐧𝐠𝐢𝐧𝐞 – Custom ML model for product recommendations based on browsing and purchase history. Each of these systems typically includes AI/ML models, AI agents, automation pipelines, mobile apps, dashboards, and backend integrations. 𝐌𝐲 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 𝐒𝐭𝐚𝐜𝐤 - Languages: Python (primary), JavaScript/Node.js, SQL - ML & AI Frameworks: TensorFlow, PyTorch, scikit-learn, Hugging Face, LangChain, LlamaIndex - LLMs: OpenAI GPT-4o, Claude, Gemini, Llama, Mistral - Workflow Automation: n8n, Make, Zapier - Voice AI: VAPI, Retell AI, Twilio - Vector Databases: Pinecone, Weaviate, Chroma, FAISS - Data & ETL: Pandas, NumPy, SQLAlchemy, Airflow - Backend: FastAPI, Django, Flask, Node.js - Databases: PostgreSQL, MySQL, MongoDB, Redis - Cloud: AWS (SageMaker, Lambda, EC2), GCP (Vertex AI), Azure, Docker 𝐇𝐨𝐰 𝐈 𝐖𝐨𝐫𝐤 I approach every project with a structured, collaborative process: 1- Discovery – I provide a clear checklist of inputs, decisions, and data needed from you. 2- Design & Build – I configure, develop, and test the system. For ML projects, I start with rapid prototyping. 3- Review & Revise – You test. I revise. We iterate until it's right. 4- Launch – I help you execute a clean cutover with minimal disruption. 5- Documentation – You receive clear documentation on what was built and how to maintain it. 𝐈𝐝𝐞𝐚𝐥 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 - You are a great fit if you: - Are a business owner, operations manager, product manager, or technical founder - Have outgrown manual processes or disconnected tools - Need AI/ML models for predictions, classification, recommendations, or anomaly detection - Want AI voice agents, LLM-powered chatbots, or autonomous AI agents - Need workflow automation across CRMs, databases, and messaging platforms - Require custom software, backend systems, or mobile applications - Want clear communication and on-time delivery 𝐋𝐞𝐭'𝐬 𝐓𝐚𝐥𝐤 If you are ready to bring AI/ML-powered automation into your operations, send me a message or invite me to your project. I will reply within 24 hours with thoughtful questions and a clear path forward.

AI Agent Development, RAG Chatbot, and Voice AI systems built to run live in production not demos. I diagnose the workflow before I build the AI, so automations actually hold up for real businesses. Most AI agent builds fail not because of bad models, but because nobody mapped the actual process first. I start there, then ship production-grade AI Agent Development, RAG Chatbot systems, and Voice AI Agents that run live for real businesses not just impressive demos. With 6+ years of experience in AI Engineering, I've helped SMEs, SaaS founders, and enterprise teams turn messy workflows into reliable, revenue-generating automation. ✦ What I Build: ✦ AI Agent Development: multi-agent systems that handle real business logic, not scripted chat flows. ✦ RAG Chatbots: Retrieval Augmented Generation pipelines (LangChain, LangGraph, ChromaDB, Pinecone, Qdrant, vector search) grounded in your actual data, not hallucinated answers. ✦ Voice AI Agents (Vapi, ElevenLabs): inbound/outbound voice bots for appointment booking, receptionist automation, and customer support that sound human. ✦ Business Process Automation (n8n, OpenAI API): end-to-end workflow automation connecting your tools, CRMs, and data sources. ✦ AI Chatbot Development: GPT/Claude-powered conversational agents for support, sales, and internal ops. Stack: Python, LangChain, LangGraph, OpenAI API, Claude API, n8n, Vapi, ElevenLabs, ChromaDB, Qdrant, Pinecone, Generative AI, Prompt Engineering. Proof: 100% Job Success Score across dozens of completed engagements including a hospital receptionist voice agent (Vapi-powered), a multi-tenant RAG chatbot SaaS MVP, an HR policy RAG chatbot, a multi-agent customer support automation system, and a real-time voice cloning/TTS pipeline. I've also fixed and audited broken RAG pipelines for clients who tried to build in-house first. I don't just wire up APIs, I map your workflow, identify where automation actually saves time or money, then build the AI Agent, RAG system, or Voice AI Agent to fit that reality. That's why my builds stay in production instead of getting shelved after launch. If you need an AI Engineer who ships working systems not prototypes let's talk about your workflow first, then the build. Message me with a short description of your process and where it's breaking down. I'll tell you honestly whether an AI Agent, RAG Chatbot, or Voice AI system is the right fix and what it'll take to ship it.

✅ EXPERT-VETTED 🎖 TOP RATED PLUS (Top 1% 🥇 of GLOBAL talent on Upwork). I am a Data Scientist, AI, Machine Learning, and Software Engineer with over 9 years of professional experience building software at any scale. I used to work at large companies such as Yandex as well as in many successful startups. Now I am running Shapeion Technologies, providing software and ML consulting for companies around the globe, to accomplish their business goals. I have been managing startup projects with client teams and have helped draft product roadmaps, planning, and talent acquisition. I have a good network of engineer talent who can help build product MVPs effectively. Products made by me helped startups to raise millions of USD. I have a team of 15 professional Data Annotation specialists who have completed many projects in the Natural Language Processing and Computer Vision fields. They are fluent in the following data annotation platforms: CVAT, Doccano, and ProdiGy. Here is a brief summary of my expertise: ● 2000+ worked hours and 30+ projects completed PERSONALLY only at Upwork ● Created MVPs for various startups and companies that raised millions of USD ● Helped 30+ businesses to reach their goals in time I am proficient in: ✅ Data Science and Machine Learning: ● classification and regression tasks ● time-series prediction (ARIMA, ...) ✅ Natural Language Processing (NLP): ● Text classification (including Sentiment Analysis, Aspect-Based Sentiment Analysis) ● Named Entity Recognition (NER, automatic extraction of relevant entities, like names, locations, dates, etc) ● Chat-Bots (Deep Learning or Rule-Based chat-bots for various domains) Frameworks: SpaCy, HuggingFace, Transformers, NLTK, Langchain, Pinecone Annotation platforms: Doccano, ProdiGy, Clarifai Architectures: BERT, LongFormer, GPT-3, GPT-4 Domains: MedTech, E-Commerce, HRM, AD-tech ✅ Computer Vision (CV): ● Image Classification ● Object Detection (YoLo) ● Instance segmentation / Semantic Segmentation (Mask R-CNN) ● Optical Character Recognition (OCR) Frameworks: PyTorch, TensorFlow, Keras, DarkNet, Detectron, Detectron2, Fast.ai Annotation platforms: CVAT, Clarifai Domains: Medical Imaging, CCTV (surveillance), NFT, LegalTech (document analysis) ✅ Full-Stack Development: ● Backend (FastAPI, Flask, Django, django-rest-framework, Node.js, JavaScript, PHP, Yii Framework) ● Frontend (Vue.js, React.js) ● WordPress ● CI/CD (Docker, docker-compose, Kubernetes, k8s, Ansible, Terraform) ● Databases (PostgreSQL, MySql, MongoDB, OracleDB, ArangoDB, ClickHouse, GraphDB) ● AMQ (Celery, RabbitMQ) Technical skills: Python, Javascript, Go, Java, Spring Boot, Gradle, Node.js, Angular, Tensorflow, Keras, NumPy, Serverless Frameworks, Docker, Terraform, Ansible, Kubernetes, Jenkins, Spinnaker, GitOps, DataOps, AWS. GCP, Azure, JAMstack, GraphQL, MEAN Stack, React, Redux, ES6, Express, MongoDB, Redis, Linux, Etcd, Consul, Kinesis, Redshift, DynamoDB, Spark, Hadoop, Kafka, PostgreSQL, MySQL, ELK, Git, Flask, and Django. Thanks for your consideration! "Alexander was excellent. He managed expectations well and overperformed on the work. Communications were excellent. He saved us 100s of hours of work by automating our processes. He's more expensive than many people on Upwork, but appears to be exceptionally good an reliable." - Tom Mather

Specializing in Data Science and AI/ML, using tools like AWS SageMaker, Google AI, and Azure ML. Creating machine learning models with Python, R, Julia, TensorFlow, PyTorch, and Scikit-learn. Expertise in data integration with Kafka, Airflow, and NiFi. Proficient in Large Language Models (LLM), NLP with transformers and Spacy, and fine-tuning with Hugging Face. Developing AI assistants with Vapi.ai, Retell, and Bland.ai. Enhancing marketing with HubSpot and Marketo, managing social media with Hootsuite and Buffer. Skilled in CRM systems like GHL, Salesforce, and HubSpot, streamlining tasks with Make.com and Zapier. Creating AI art using Midjourney, Stable Diffusion, and Adobe Creative Suite. Utilizing cloud services such as AWS, Google Cloud, and Azure for scalable solutions. Ensuring reliable software development through experience with APIs and testing, driving business growth through innovation. Skilled in KPI analysis to measure and optimize performance metrics effectively. Detailed Tech Stacks 📚Programming Languages Python, R, Julia, Java, C++, C#, Swift, JavaScript, TypeScript, Ruby, PHP 🔍Data Science & ❇️AI/ML 🔸Programming Languages: Python, R, Julia 🔸Data Engineering: Apache Kafka, Apache Airflow, Apache NiFi, Alteryx, KNIME, Talend, ETL, Data Pipelines, Big Data Technologies 🔸Libraries/Frameworks: TensorFlow, PyTorch, Keras, Scikit-learn, Pandas, NumPy, SciPy, Matplotlib, Seaborn, TFIDF, Spacy, Transformer-based Models 🔸Tools: Jupyter Notebook, Google Colab, Anaconda, DataRobot 🔸Platforms: AWS SageMaker, Google AI Platform, Azure Machine Learning 🔸Computer Vision: Classification, Detection, Tracking, Segmentation, Image/Video Generation 🔸Natural Language Processing: TFIDF, Spacy, Transformer-based Models 🔸Large Language Models (LLM): Applications (RAG, Chain, Agent, Graph), Optimization, Deployment, Fine-tuning 🔸Cloud Services: AWS, Sagemaker 🤖AI Bot Development 🔸Platforms: Dialogflow, Microsoft Bot Framework, Rasa, IBM Watson Assistant 🔸Technologies: Natural Language Processing (NLP), Machine Learning, Deep Learning 🔸Libraries/Frameworks: SpaCy, NLTK, GPT-3/GPT-4 🔸Voice AI Platforms: Vapi.ai, Retell, Blend.ai : For voice and chatbot automation 📊KPI Analysis 🔸Tools: Microsoft Excel, Google Sheets, Tableau, Power BI, Looker, IBM SPSS, SAS 🔸Expertise in identifying, measuring, and optimizing Key Performance Indicators (KPIs) to enhance business performance and decision-making. 🖼AI Art Experience 🔸Tools: Midjourney, Stable Diffusion, DALL-E, Adobe Creative Suite (Photoshop, Illustrator), Procreate 🧰CRM Platforms 🔸GHL, Salesforce, HubSpot, Zoho CRM, Pipedrive, Insightly ⚙️Automation 🔸Make.com, Monday.com, Zapier, Airtable, Microsoft Power Automate: For workflow automation and integration ⚙️Cloud Platforms 🔸Providers: AWS, Google Cloud Platform, Microsoft Azure 🔸Services: Lambda, EC2, S3, DynamoDB, Firebase, App Engine 🌐Web Development 🔸HTML/CSS, JavaScript, TypeScript, React, Angular, Vue, MERN, WordPress, Joomla, Magento 🪄Other Technologies 🔸APIs: RESTful APIs, GraphQL 🔸Testing: Jest, Mocha, Chai, Selenium, Cypress 🔸Containerization: Docker, Kubernetes

You have data and a deadline. I build the pieces in between, cleanly, reliably, and with the business goal front and center. I'm a hands-on 𝗔𝗜/𝗠𝗟 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 & 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 who takes projects from idea to model to 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 (𝗠𝗟𝗢𝗽𝘀), covering NLP, Computer Vision, classic predictive modeling, and modern LLMs / Generative AI, including agentic AI workflows, RAG pipelines, and multi-agent systems, plus production full-stack apps when they truly add value. 𝗪𝗵𝗮𝘁 𝗜'𝗺 𝗚𝗼𝗼𝗱 𝗔𝘁: • Turning messy data into something useful: data pipelines, data engineering, features, guardrails • Choosing the right approach: scikit-learn / XGBoost / LightGBM when it's enough, PyTorch / TensorFlow when we need deep learning, LLMs with prompt engineering and fine-tuning when the task calls for it • Building things people actually use: microservices with FastAPI / Django / Flask, responsive frontends in React / Next.js, containers with Docker, cloud deploys on AWS / GCP / Azure, monitoring & retraining so models don't quietly drift • Working across structured and unstructured data: PostgreSQL, MongoDB, Redis, Kafka, documents, APIs, logs, whatever you have • Shipping reliable full-stack SaaS platforms: Node.js / Express backends, React / Next.js / Vue.js / TypeScript frontends, REST / GraphQL APIs, auth, RBAC, payments, WebSockets, background jobs with Celery • Explaining trade-offs clearly so you can make decisions quickly 𝗪𝗵𝗲𝗿𝗲 𝗜'𝘃𝗲 𝗯𝗲𝗲𝗻 𝗺𝗼𝘀𝘁 𝗵𝗲𝗹𝗽𝗳𝘂𝗹 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 & 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗦𝘆𝘀𝘁𝗲𝗺𝘀: agent orchestration with tool calling and multi-step workflows, multi-agent systems, human-in-the-loop review for high-stakes actions, knowledge platforms and enterprise search over internal data, workflow automation (LangChain, LangGraph, n8n) 𝗥𝗔𝗚 & 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲: retrieval-augmented generation pipelines, vector databases (Pinecone, Weaviate, FAISS), embedding models, chunking strategies, hybrid search, evaluation frameworks, safety checks (Hugging Face, OpenAI / Anthropic APIs, LangChain / LlamaIndex) 𝗡𝗟𝗣 / 𝗟𝗟𝗠𝘀: customer support assistants, document Q&A, classification, summarization, knowledge graphs, conversational AI (spaCy, Hugging Face, OpenAI / Anthropic) 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻: detection, segmentation, OCR, image processing, quality control, retail/warehouse vision (OpenCV, YOLO, PyTorch) 𝗙𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝗶𝗻𝗴 & 𝗥𝗶𝘀𝗸: demand, pricing, time series analysis, churn/CLV, fraud & credit risk models, quantitative analysis 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 & 𝗦𝗮𝗮𝗦: scalable SaaS platforms, API integration, responsive React / Next.js interfaces, real-time features, e-commerce, payments, dashboards, web scraping (Selenium, Scrapy, BeautifulSoup) 𝗠𝗟𝗢𝗽𝘀 & 𝗢𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆: CI/CD for ML, model deployment and model serving (REST/gRPC), MLflow, Airflow, Databricks, SageMaker, drift detection, traceability, evaluation loops, metrics, alerting, scheduled retraining 𝗗𝗲𝘃𝗢𝗽𝘀 & 𝗖𝗹𝗼𝘂𝗱: Docker, Kubernetes, Terraform, CI/CD (GitHub Actions, GitLab, Jenkins), blue-green deployments, zero-downtime migrations, solution architecture, AWS / GCP / Azure, Bedrock, Vertex AI 𝗛𝗼𝘄 𝘄𝗲'𝗹𝗹 𝘄𝗼𝗿𝗸: 𝗗𝗶𝘀𝗰𝗼𝘃𝗲𝗿𝘆: you share goals, constraints, and sample data. I propose a lean plan and success criteria. 𝗣𝗿𝗼𝘁𝗼𝘁𝘆𝗽𝗲 𝗳𝗮𝘀𝘁: a working baseline in days, not weeks; we measure, iterate, and cut what doesn't matter. 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻𝗶𝘇𝗲: clean code, tests, containers, infra as needed; handover docs and dashboards so your team isn't guessing later. 𝗔𝗳𝘁𝗲𝗿𝗰𝗮𝗿𝗲: I monitor models, handle drift, and plan upgrades on a sensible cadence. 𝗧𝗲𝗰𝗵 𝗜 𝘂𝘀𝗲 𝗮 𝗹𝗼𝘁: Python (Pandas, NumPy, scikit-learn, XGBoost / LightGBM) • PyTorch • TensorFlow / Keras • Hugging Face • spaCy • OpenCV • FastAPI / Django / Flask • React, Next.js, TypeScript, Vue.js • Node.js, Express • PostgreSQL, MongoDB, MySQL, Redis, Kafka • LangChain / LlamaIndex / LangGraph • Pinecone / Weaviate / FAISS • Docker / Kubernetes / Terraform • MLflow • Airflow • Databricks • SageMaker / Bedrock / Vertex AI • n8n • GCP / AWS / Azure 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀 𝗜 𝘂𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱: Healthcare | Finance/FinTech | E-commerce/D2C | SaaS | Manufacturing | Logistics | Startups/Scale-ups If you need a partner who can 𝘀𝗵𝗶𝗽, not just explore notebooks or push pixels, send a short note with your goal and a sentence about your data. I'll reply with one or two practical paths, costs, risks, and a realistic timeline, so you can decide quickly.

I am a senior financial and systems architect with a rare, 15-year career built at the intersection of institutional finance and full-stack development. I don't just analyze business problems; I architect and build the robust, end-to-end software solutions that solve them permanently. My expertise is in designing and building the "AI core" and data infrastructure for high-stakes financial and operational systems. I specialize in projects that require a deep, first-principles understanding of the business logic (from M&A valuation to derivative modeling) and the hands-on engineering skill to build the production-grade applications that bring that logic to life. Whether you need a complex financial model, a multi-API data pipeline, or a complete, AI-driven web application, I deliver institutional-grade solutions that are scalable, auditable, and built for real-world decision-making. Core Competencies (What I Deliver): Full-Stack Application Development: Architecting and building complete, end-to-end internal tools and data applications. This includes: Backend & API Architecture: Designing and building robust backend services, multi-REST API integrations, and LLM orchestration engines using Python (FastAPI, Django) and SQL/NoSQL databases. Frontend & UI/UX: Creating clean, intuitive, and interactive web-based applications and dashboards using Streamlit and other modern frameworks to allow non-technical users to execute complex scripts and analysis. Quantitative Finance & Modeling: Building institutional-grade financial models from the ground up, including M&A valuation, project finance, derivatives, and sophisticated stochastic models (Monte Carlo simulations) for risk analysis. AI & Machine Learning Engineering: Designing and implementing production-ready AI pipelines, from custom ML models for predictive forecasting to RAG (Retrieval-Augmented Generation) systems for intelligent document analysis and automated reporting. Financial Systems & Data Architecture: Architecting and managing the data pipelines, consolidation logic, and reporting frameworks for complex, multi-entity global organizations (140+ entities, 51 countries). Technical Skillset (The "How"): Languages & Frameworks: Python (Expert), SQL (Expert), C++, Java (Spring Boot), JavaScript Backend & APIs: FastAPI, Django, REST API Design & Orchestration, LLM Integration (OpenAI) Frontend & BI: Streamlit, React.js (Proficient), Power BI, Looker Studio Databases: PostgreSQL, DuckDB, MongoDB, SQLite Data Science & ML: Pandas, NumPy, Scikit-learn, PyTorch, LangChain, LlamaIndex Legacy & Enterprise: Advanced Excel, VBA, SAP BFC, HFM I thrive on architecting solutions to complex, data-intensive challenges. My unique value is my ability to operate as a true hybrid: a senior finance professional who can think at a strategic level and a full-stack engineer who can build the production-grade tools to execute that strategy. Let's build something robust, intelligent, and valuable together.