Most companies don’t have a data technology problem. They have a data strategy, architecture, and execution problem. Your CRM, ERP, application databases, financial systems, marketing platforms, and operational tools contain valuable data—but they don’t work together. Reporting is slow, KPIs aren’t trusted, and leadership wants to use AI but isn’t sure whether the underlying data is ready. That’s where I help. My name is Franck Leveneur. 𝗜 𝗯𝗿𝗶𝗻𝗴 𝟯𝟬+ 𝘆𝗲𝗮𝗿𝘀 𝗼𝗳 𝗵𝗮𝗻𝗱𝘀-𝗼𝗻 𝗱𝗮𝘁𝗮𝗯𝗮𝘀𝗲 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲. Since 2018, I've taught Data Management at the UCLA Anderson School of Management for the Master of Science in Business Analytics (MSBA) program. I founded Data-Sleek in 2020 as a boutique consulting firm built around this exact gap in the market. On Upwork, we've earned over $𝟓𝟎𝟎,𝟎𝟎𝟎 𝐚𝐜𝐫𝐨𝐬𝐬 𝟏𝟑𝟗 𝐜𝐨𝐦𝐩𝐥𝐞𝐭𝐞𝐝 𝐣𝐨𝐛𝐬. Clients consistently tag my work as "Committed to Quality," "Solution Oriented," and "Clear Communicator." When you work with me, you're not getting a junior freelancer learning on your dime; you're getting a 𝐛𝐚𝐭𝐭𝐥𝐞-𝐭𝐞𝐬𝐭𝐞𝐝 𝐯𝐞𝐭𝐞𝐫𝐚𝐧 who has built data ecosystems for high-growth companies like Numerade, Digital Asset Research, and Johns Hopkins, among 15+ others. ──────── 🚨𝐓𝐇𝐄 𝐏𝐑𝐎𝐁𝐋𝐄𝐌 𝐖𝐄 𝐒𝐎𝐋𝐕𝐄 Your company has data - a lot of it. But: 1. Your systems don't talk to each other (ERP, CRM, EHR, TMS - all siloed) or you don’t know where to start Comment end 2. KPI reporting takes too long, and nobody quite trusts the numbers 3. You want to use AI and predictive analytics, but your data isn't ready 4. You've tried BI tools. You still don't have real answers. This is not a tool problem. It's a foundation problem. And that's exactly what we fix. 🚀 𝐇𝐎𝐖 𝐖𝐄 𝐖𝐎𝐑𝐊 - 𝐓𝐇𝐄 𝐅𝐎𝐔𝐑-𝐏𝐈𝐋𝐋𝐀𝐑 𝐅𝐑𝐀𝐌𝐄𝐖𝐎𝐑𝐊 We guide clients through a structured data journey. You can engage at any stage: 1. Data Strategy (Discovery & Alignment, optional but recommended) Data inventories, AI readiness assessments, architecture design, and strategic roadmaps. 2. Data Centralization (Integration & Governance) Single source of truth via Snowflake, BigQuery, or Redshift connected through Fivetran and governed pipelines. 3. Data Transformation (Modeling & Preparation) dbt consulting, semantic layers, and ETL/ELT pipelines that model your data for analysts and AI. 4. Data Activation (Insights, Prediction & AI) BI, Tableau dashboards, predictive analytics, and ML wherein raw data turned into real business outcomes. DATA WAREHOUSE CONSULTING SERVICES Struggling with complex data warehousing projects can hinder your company’s ability to scale. Our data warehouse consulting services are tailored to address your business’s data needs. 🙅🏼‍♂️ 𝐃𝐀𝐓𝐀𝐁𝐀𝐒𝐄 𝐄𝐗𝐏𝐄𝐑𝐓𝐈𝐒𝐄 - 𝐓𝐇𝐄 𝐓𝐇𝐈𝐍𝐆 𝐌𝐎𝐒𝐓 𝐂𝐎𝐍𝐒𝐔𝐋𝐓𝐀𝐍𝐂𝐈𝐄𝐒 𝐂𝐀𝐍'𝐓 𝐃𝐎 Unlike modern data stack consultancies that only know cloud tools, we know how the underlying transactional systems actually work. I have 15+ years as a Senior MySQL DBA and deep expertise across: ➝ MySQL & AWS Aurora ➝ PostgreSQL ➝ ClickHouse ➝ MS SQL Server ➝ SingleStore Performance tuning, partitioning, replication, and scaling, not just dashboards on top of messy data. 🏭 𝐈𝐍𝐃𝐔𝐒𝐓𝐑𝐈𝐄𝐒 𝐖𝐄 𝐒𝐏𝐄𝐂𝐈𝐀𝐋𝐈𝐙𝐄 𝐈𝐍 ➔ Construction ➔ Healthcare ➔ Higher Education ➔ Insurance ➔ Transportation ➔ SaaS ➔ EdTech ➔ FinTech We have dedicated playbooks, industry-specific data models, and named case studies in each. If your company is in one of these five, we've already solved your problem before. 💯 𝐏𝐑𝐎𝐕𝐄𝐍 𝐑𝐄𝐒𝐔𝐋𝐓𝐒 🏆 Johns Hopkins (Higher Education): Data warehouse architecture consulting reduced reporting time by 40% and increased data accuracy by 35% within the first year. 🏆 Numerade (EdTech): Redesigned database schema and ETL processes - query times dropped from several minutes to sub-second, system outages eliminated, scaled to unlimited concurrent users, subscriber growth followed. 🏆 Digital Asset Research (FinTech/Crypto): Built a real-time ingestion pipeline handling 40 million rows daily (250M+ trades). Client expanded their client base by 600% and captured the largest market share in their category. 💡 𝐀𝐈 𝐑𝐄𝐀𝐃𝐈𝐍𝐄𝐒𝐒 𝐀𝐒𝐒𝐄𝐒𝐒𝐌𝐄𝐍𝐓 - 𝐓𝐇𝐄 𝐑𝐈𝐆𝐇𝐓 𝐖𝐀𝐘 𝐓𝐎 𝐒𝐓𝐀𝐑𝐓 𝐀𝐈 Most AI projects fail because the data foundation underneath them isn't ready; not because AI is hard. If you want predictive analytics, ML models, or intelligent automation, start here: → Fixed-fee engagement · 4-6 weeks · Clear deliverable: which AI use cases your data can support today, and the roadmap to support more. ──────── 🌱 𝐋𝐄𝐓'𝐒 𝐆𝐄𝐓 𝐒𝐓𝐀𝐑𝐓𝐄𝐃 We always start with a free initial consultation to scope the work properly before any engagement begins. Send a message - let's see if we're a fit!

Welcome to my Upwork profile! I am Abdullah Zeb a senior Flutter Developer with over 5 years of experience building high‑quality mobile applications and scalable backend systems. I specialize in creating fast, reliable, and well‑structured cross‑platform apps with Flutter, focusing on performance, clean architecture, and exceptional user experience. I don’t just build interfaces – I deliver complete, production‑ready solutions from idea to deployment. I have worked both as a solo developer and as part of teams, taking full ownership of projects: from UI/UX implementation to backend design, integrations, and cloud infrastructure. 𝐖𝐡𝐚𝐭 𝐈 𝐛𝐫𝐢𝐧𝐠 𝐭𝐨 𝐲𝐨𝐮𝐫 𝐩𝐫𝐨𝐣𝐞𝐜𝐭: - Advanced Flutter development (iOS, Android, Web, Desktop) - Strong backend expertise (Golang, Node.js, Python) - Cloud experience (GCP, AWS, Azure, Hetzner) - Databases: PostgreSQL, SQLite, ClickHouse, MongoDB, Redis - Real‑time systems (Firebase, Supabase, WebSockets, Kafka) - API design & integrations (REST, GraphQL, gRPC) - Complex native integrations, including C++ libraries for real‑time processing 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 𝐡𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬: - Built and delivered multiple production apps as a solo developer - Designed scalable architectures for real‑time and data‑driven applications - Integrated advanced features like real‑time audio processing and cloud‑based systems - Worked across the full stack: mobile, backend, infrastructure 𝐒𝐨𝐦𝐞 𝐨𝐟 𝐭𝐡𝐞 𝐚𝐩𝐩𝐬 𝐈 𝐡𝐚𝐯𝐞 𝐰𝐨𝐫𝐤𝐞𝐝 𝐨𝐧 𝐢𝐧𝐜𝐥𝐮𝐝𝐞: - Content creation & podcasting platform - Legacy communication & digital legacy app - High‑quality voice recorder with audio processing - Women’s health & wellness platform - Online doctor consultation & healthcare marketplace - Railway & transportation booking system - Buy now, pay later (BNPL) fintech app - Face yoga & wellness exercise app I am comfortable taking full responsibility for a product or collaborating as part of an experienced team. I care about code quality, long‑term maintainability, and delivering real value – not just completing tasks. If you are looking for someone who understands both mobile development and backend systems and can connect them into a solid product I would be glad to help.

Hello 👋 Are you looking for a technical partner who doesn't just write code but builds investor-ready AI-driven products? My name is Valerii. I am a senior full stack developer and AI architect with a strong product and business background. I help founders and teams transform complex ideas into scalable SaaS platforms, mobile applications, and AI driven automation tools. With experience in business development, I understand not only how to build systems, but also how they support growth, revenue, and long term scalability. • AI and machine learning I do not add AI just to follow trends. I design intelligent systems that solve real problems and often deliver efficiency improvements of forty percent or more. I work with modern language models including openai gpt 4o anthropic claude gemini and llama I build retrieval based architectures using langchain and llamaindex combining embeddings semantic search and structured prompting. These systems are supported by vector databases such as pinecone milvus and weaviate which allow accurate context retrieval and personalization. Typical solutions include AI assistants internal copilots custom agents automated workflows content generation pipelines and predictive logic integrated directly into the product. • Full stack development I build fast and scalable web products with a strong focus on usability performance and long term maintainability. On the frontend I work with react and next.js using typescript modern component architecture and utility first styling. I pay close attention to user experience accessibility seo and real world performance metrics. On the backend I design clean and reliable systems using node.js and python I build rest and graphql APIs handle authentication and authorization implement real time features with websockets and structure services in a way that supports growth and future changes without rewrites. • Mobile development I develop cross platform mobile applications for ios and android using react native This includes app architecture state management push notifications over the air updates and performance optimization to ensure stable behavior in production. • Data, cloud, and infrastructure I work with relational and non relational databases including postgresql mongodb redis firebase supabase dynamodb and vector databases when AI features require it. I design data models, optimize queries and ensure data consistency across services. I deploy and scale products on aws google cloud and azure I use containerization automated CI CD pipelines and infrastructure as code to keep environments predictable. Monitoring, logging, testing, and error tracking are always part of the setup, not an afterthought. • Architecture and technical depth From a technical perspective I work across the entire stack and understand how individual decisions affect the system as a whole. On the frontend I build component driven interfaces using react next.js typescript tailwind css and modern state management patterns combining server side rendering incremental static generation and client side data fetching to balance performance and flexibility On the backend I design APIs and services with node.js nestjs express and python using fastapi or flask implementing rest and graphql endpoints, authentication with jwt and oauth role based access control background jobs queue and real time communication via websockets I design data layers with postgresql mongodb redis and vector databases optimize queries and ensure consistency across services. For infrastructure I deploy with docker manage environments with kubernetes when needed, and build CI CD pipelines for automated testing and delivery. I work with aws services such as ec2 s3 lambda and rds focusing on security observability and cost efficiency as products scale. • Product mindset and results I approach development with a strong product mindset. I help define MVP scope map user journeys design onboarding flows and build SaaS platforms with multi tenancy access control and subscription logic using stripe and revenuecat I integrate analytics tools to track behavior funnels and conversion so decisions are based on data not assumptions. I have delivered products across fintech healthcare SaaS marketplaces real estate and edtech This includes MVPs that raised seed and series A funding as well as mobile applications with more than ten thousand active users. • What you can expect - Clear and transparent communication with regular updates - Clean and scalable code that supports growth and change - Fast execution without sacrificing quality or security - A technical partner who takes ownership of the roadmap, not just tasks Whether you need a full stack developer, an AI focused engineer, or a fractional CTO, I am ready to help you move from idea to a scalable product built for real users and long term growth. Ready to move from idea to a scalable product? Let’s talk 🚀

I build infrastructure that stays up when it matters. Government platforms for 2M+ citizens, banking systems for 1M+ users, and AI rendering stacks on GPU Kubernetes clusters. Shipped on time, documented for the team that inherits it. 5+ years owning the full stack: physical hardware, hypervisors, Kubernetes, service mesh, cloud networking, CI/CD, observability, and GPU AI workloads. Across government, fintech, SaaS, and deep-tech startups. Government Scale — OpenG2P Ethiopia, 3 Ministries Leading platform engineering for Ethiopia's national OpenG2P welfare system across ATI, MoWSA, and EDRMC. Serving 2M+ beneficiaries on RKE2 with Rancher, Istio mTLS, Keycloak SSO, WireGuard site-to-site VPN, XCP-ng hypervisor with Hardware RAID 1+0, and a full Prometheus + Grafana + Alertmanager + Loki observability stack. Currently executing a large-scale ODK to OpenG2P data migration with schema mapping, validation pipelines, audit trails, and phased rollback. AWS Serverless Architecture — WeTruck Architect and operator of WeTruck's serverless logistics platform. CloudFront to ALB to WAF (deny-by-default with Telebirr payment gateway IP whitelisting) to Lambda (FastAPI via Mangum). Fully Terraformed infrastructure. GitHub Actions with OIDC federation (zero long-lived credentials), RDS PostgreSQL, DynamoDB for JWT token store, SQS with dead-letter queue, Secrets Manager, AWS Amplify for three Next.js frontends (back-office, transporter, shipper), and Route 53 private/public DNS. I own production incidents end-to-end and authored the full deployment runbook and troubleshooting playbook. AWS in daily use: Lambda, EC2, EKS, CloudFront, ALB, WAF, RDS, DynamoDB, SQS, Secrets Manager, Amplify, ECR, Route 53, IAM OIDC, VPC (private subnets, NAT Gateway, VPC endpoints), CloudWatch, ACM. MPLS and AI Rendering Infrastructure — MetaPlux (Tech Lead) Tech Lead on a distributed GPU-aware AI rendering platform. MPLS networks for deterministic, low-latency routing across distributed rendering nodes with label-switched paths and traffic engineering for QoS-sensitive GPU workload traffic. BGP and OSPF routing across hybrid environments connecting on-premises GPU clusters to cloud egress points. WireGuard VPN tunnels for secure, auditable connectivity. Multi-cloud strategy across AWS and Azure for rendering workload distribution. Platform architecture for GPU-aware Kubernetes scheduling and job orchestration. This role sits at the intersection of deep networking and modern cloud infrastructure, the combination most DevOps engineers don't have. AI and GPU Infrastructure — Exponent.ch (Switzerland) Provisioned and managed NVIDIA GPU-enabled RKE2 clusters running AI and automation workloads: n8n, Langfuse LLM observability, LibreChat, and ClickHouse analytics. Standardized Helm deployments across 5+ environments using shared-stacks architecture. Integrated Teleport for zero-trust cluster access, automated secrets via Lade and 1Password. Prometheus + Grafana + Mimir observability with 99.9% metric coverage, 60% MTTR reduction, and 3 critical outages prevented through proactive alerting. Banking Infrastructure — 6 Ethiopian Banks, 1M+ Users Delivered high-availability mobile banking and USSD platforms for Siinqee Bank, Hijra Bank, Wegagen Bank, and others with 99.95% uptime across 1M+ users. Designed MPLS network architecture for multi-branch WAN connectivity with QoS for transaction data. Built Jenkins CI/CD for Maven Java apps (4 hours to 15 minutes). ELK processing 10TB+ daily logs. Proxmox and AWS hybrid cloud with ~35% cost reduction. Full Technical Stack Container Orchestration: Kubernetes (RKE2, EKS, K3s), Docker, Helm, Rancher, OpenShift Infrastructure as Code: Terraform, Terragrunt, Ansible, OpenTofu CI/CD: GitHub Actions, GitLab CI, Jenkins Cloud: AWS (full suite), Azure, OpenStack Networking: MPLS, BGP, OSPF, WireGuard, HAProxy, NGINX, VLAN, VPC design Service Mesh: Istio (mTLS, traffic policies, ingress) Observability: Prometheus, Grafana, Mimir, Alertmanager, Loki, OpenTelemetry, ELK, Zabbix, SigNoz Security and Identity: Keycloak, HashiCorp Vault, Teleport, IAM OIDC Virtualization: Proxmox, XCP-ng, VMware AI and Automation: NVIDIA GPU Kubernetes, YOLO, ONNX, TensorRT, n8n, Langfuse, LibreChat, ClickHouse Databases: PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch, DynamoDB Backend: Python (FastAPI), Bash, Node.js How I work I overcommunicate early, give realistic timelines, and ship verified, not "it should work." I treat testing as the real deliverable, not a checkbox. If something is out of scope or a bad idea, I'll tell you before you spend money on it. Message me if you need: - AWS or Kubernetes infrastructure built or fixed - CI/CD pipelines developers actually trust - GPU and AI infrastructure with inference pipelines and observability - Migration from cloud to cloud, or on-prem to production cloud - MPLS, BGP, or complex network architecture across hybrid environments - Observability that catches problems before users do

I have hands on experience with latest AI supported software development and modern technologies. Following are the goodies you get when working with me: 1- Review your project idea from a technical perspective 2- Create and tune execution roadmap for your project 3- Design team layout and describe all the needed skills 4- Planning for AI-supported development process 5- Budget planning and duration estimation 6- Finding suitable team members and mobilize them 7- Setup and run the project management practice with the team 8- Participate actively and hands-on during the technical implementation and rollout 9- Provide visibility to stakeholders and align regularly with them I have my way of working and preferred go-to tools and technologies. Following is a listing of my latest favorites: 🤖 AI-ERA DEVELOPMENT - Methods: intent-driven and spec-driven development, human-in-the-loop, context engineering - Coding tools & agents: Claude Code, Cursor, Codex - Agent architectures & protocols: MCP, agent harness design, LangGraph, A2A - Retrieval & knowledge (RAG): vectorless (PageIndex), embedding models, chunking plans - Platforms & model access: AWS Bedrock, Anthropic API, Mistral - Self-hosted / private AI: Ollama, LibreChat, Flowise, private GPU inference - LLMOps & observability: Langfuse, prompt versioning, cost & token monitoring - Workflow & agent automation: n8n, Temporal 📆 PROJECT MANAGEMENT - Tools: Linear, GitHub Projects, Jira, Trello - Systems & methods: P3.express, Scrum, Shape Up 👨🏻‍💻 ENGINEERING - Languages: TypeScript, Rust, Go, PHP, Python, C, SQL, Java, Scala - Backend: Nest.js, FastAPI, Node.js, Laravel, Spring Boot, Actix - Frontend & full-stack: Next.js, React, Tailwind CSS, shadcn/ui, React Native - APIs & integration: REST, GraphQL, gRPC, event-driven architecture, RabbitMQ - Databases & data stores: PostgreSQL (Supabase), pgvector, Redis, Qdrant, MongoDB, MySQL, Neo4j, Elasticsearch - Cloud & infrastructure: AWS, Docker, Traefik, Coolify, IaC, serverless - Architecture patterns: modular monolith, event-driven, CQRS, multi-tenant SaaS, AI-native application design - Testing & analytics: Playwright, AI-generated test suites, ClickHouse, Grafana ⚖️ DOMAIN & COMPLIANCE - Security & compliance: OWASP, OWASP LLM Top 10, EU AI Act, PSD2, PCI DSS, SOC 2, ISO 27001, zero-trust - Fintech & payments: payment architecture, card reconciliation systems, open banking, B2B payments - Team assembly & skills verification: developer onboarding for AI-era workflows, team topology design, CodeSignal 🕒 A note on availability: to be genuinely involved in your project and not just reacting to messages and tasks mechanically I work in allocations of 15+ hours per week. If you first want to test how we work together, lets start with a consultation and we can take it from there.

😱 𝗟𝗲𝘁’𝘀 𝗷𝘂𝗺𝗽 𝗼𝗻 𝗮 𝑭𝑹𝑬𝑬 𝑪𝑨𝑳𝑳 𝗮𝗻𝗱 𝗱𝗶𝘀𝗰𝘂𝘀𝘀! 😱😱😱😱😱😱😱😱 so you can see my approach before deciding. I build production-ready AI and trading automation systems for clients who need more than a simple script. I am an AI/ML engineer with a Master’s degree in Artificial Intelligence and hands-on experience building trading automation, prediction-market tools, real-time data pipelines, dashboards, and AI-powered analysis systems. I help traders, founders, and technical teams turn trading ideas into working software: from data collection and backtesting to live monitoring, bot execution, alerts, dashboards, and AI-based decision support. My work combines AI/ML engineering, real-time market-data infrastructure, trading bots, dashboards, and deployment. I can help you move from an idea or manual workflow to a working system that collects data, analyzes signals, executes logic, sends alerts, stores results, and runs reliably on a VPS or cloud server. Recent project areas include Kalshi and Polymarket prediction-market systems, Webull bot interfaces, real-time WebSocket feeds, Telegram/Discord trading controls, ClickHouse/Grafana dashboards, Docker deployments, and AI-powered market-analysis pipelines. My recent work includes building and improving systems for Kalshi, Polymarket, Webull, and crypto/prediction-market workflows, including real-time WebSocket data processing, order book monitoring, Telegram/Discord bot interfaces, market-data dashboards, database pipelines, and Docker-based deployment on VPS/cloud infrastructure. What I can help you build Trading bots and automation tools Kalshi, Polymarket, Webull, crypto, and broker/API integrations Real-time market-data pipelines WebSocket order book, ticker, trade, and price-feed processing Backtesting and strategy research tools Telegram/Discord trading bots and alert systems AI-powered market analysis and signal-generation workflows Dashboards for monitoring trades, PnL, token usage, prices, and system health Dockerized deployment, logging, debugging, and VPS/cloud setup Data storage using PostgreSQL, ClickHouse, and related tools AI/ML experience I also have strong experience in deep learning and applied AI, including: PyTorch, TensorFlow, Keras, scikit-learn LLM and AI-analysis pipelines generative models: Audio/music/speech AI systems Computer vision and object detection Data analysis, feature engineering, and model evaluation Python automation and production ML workflows Trading-system experience I have worked on systems involving: Kalshi prediction-market bots Polymarket data monitoring and dashboards Webull bot interfaces Real-time price feeds I focus on practical, production-oriented development: clean Python code, clear communication, reliable deployment, and systems that can be monitored, debugged, and improved over time. I can work on trading infrastructure involving real-time market data, WebSocket feeds, order books, execution workflows, monitoring dashboards, and low-latency automation. For more advanced trading architecture such as HFT-style systems, OMS/EMS design, and institutional execution workflows. If you have a trading idea, AI workflow, automation task, or market-data problem, I can help you turn it into a working system. # Technical stack Python, PyTorch, TensorFlow, scikit-learn, Pandas, NumPy, PostgreSQL, ClickHouse, Grafana, Docker, Linux VPS, WebSockets, REST APIs, Telegram bots, Discord bots, OpenAI API, trading APIs, and AI/ML pipelines. I work best with clients who want clear communication, fast iteration, and practical engineering. I can help with research prototypes, MVPs, production grade bots, dashboards, infrastructure, or debugging existing systems. # Keywords : Algorithmic Trading, Algo Trading, Quant Trading, Quant Developer, Trading Bot, Trading Automation, Trading Strategy, Strategy Development, Backtesting, Live Trading, Paper Trading, HFT, Low Latency, Market Making, Order Book, Level2 Data, Level3 Data, Tick Data, Market Data, Execution Engine, OMS, EMS, DMA, Smart Order Routing, Risk Management, Position Sizing, Portfolio Management, Portfolio Optimization, Signal Generation, Alpha Research, Statistical Arbitrage, Pairs Trading, Mean Reversion, Momentum Trading, Trend Following, Scalping, Arbitrage, Options Trading, Futures Trading, Forex Trading, Crypto Trading, Equities Trading, Prediction Markets, Kalshi, Polymarket, Webull, Interactive Brokers, IBKR, Alpaca, Binance, Coinbase, MetaTrader, MT4, MT5, MQL4, MQL5, TradingView, Pine Script, NinjaTrader, QuantConnect, Lean, NautilusTrader, cTrader, FIX API, Broker API, Exchange API, REST API, WebSocket, Trade Execution, Order Routing, Order Management, Fill Handling, Slippage, Latency Optimization, Market Microstructure, Volatility, Greeks, Delta Hedging, Options Spreads, Credit Spreads, Debit Spreads, Short Premium, Risk Controls, Stop Loss, Take Profit, Trailing Stop, PnL Tracking, Trade Alerts, Telegram Bot, luxalgo

𝗧𝗼𝗽-𝗥𝗮𝘁𝗲𝗱 𝗣𝗹𝘂𝘀 | 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 | 𝟴+ 𝘆𝗲𝗮𝗿𝘀 | 𝟭𝟬𝟬% 𝗝𝗼𝗯 𝗦𝘂𝗰𝗰𝗲𝘀𝘀 𝗦𝗰𝗼𝗿𝗲 If your team is still doing manually what AI agents could be doing autonomously qualifying leads, syncing your CRM, answering customer questions, moving data between systems you are leaving time and revenue on the table. I design and ship AI automation systems, CRM/ERP integrations and custom SaaS platforms that replace repetitive work with reliable, self-running workfl. I specialize in 𝗔𝗜-𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻, 𝗖𝗥𝗠 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁, 𝗦𝗮𝗮𝗦 𝗽𝗿𝗼𝗱𝘂𝗰𝘁 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁, 𝗔𝗣𝗜 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻𝘀, 𝗢𝗱𝗼𝗼 𝗘𝗥𝗣 𝗰𝘂𝘀𝘁𝗼𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻, 𝗯𝗮𝗰𝗸𝗲𝗻𝗱 𝘀𝘆𝘀𝘁𝗲𝗺𝘀, 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 and 𝗱𝗮𝘁𝗮 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝘀𝗼. I focus on delivering solutions that save time, reduce costs and improve operational efficiency. My core tech stack includes Python, Django, React, Node.js, AI/ML, OpenAI/LLM integrations, cloud deployment, no-code/low-code automation and Odoo ERP. I build systems that are secure, scalable, easy to manage and designed around real business outcomes. If you are looking for a reliable developer who understands both technology and business growth, I can help turn your idea into a powerful, automated and scalable solution. 𝐖𝐡𝐚𝐭 𝐈 𝐎𝐟𝐟𝐞𝐫: 𝐅𝐮𝐥𝐥-𝐒𝐭𝐚𝐜𝐤 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭: Building responsive web applications using React, Node.js, Django and Python, ensuring seamless front end and back end integration. 𝐁𝐚𝐜𝐤-𝐄𝐧𝐝 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭: Specializing in RESTful APIs, GraphQL, Microservices and cloud platforms like AWS for building secure, flexible back end systems. 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: ETL/ELT pipelines, data cleaning, data transformation, data modeling, data warehouses, Airflow, dbt, Pandas, Snowflake, BigQuery, Redshift, ClickHouse 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐞𝐝 𝐃𝐚𝐭𝐚 𝐄𝐱𝐭𝐫𝐚𝐜𝐭𝐢𝐨𝐧: Using libraries like BeautifulSoup, Scrapy and Pandas, I automate the extraction and manipulation of data to help streamline your workflows and decision making. 𝐀𝐈 & 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠: Implementing AI models, developing chatbots with Natural Language Processing (𝐍𝐋𝐏) and leveraging AI/ML frameworks like TensorFlow and PyTorch to create intelligent solutions. 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬 & 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: Using n8n, Zapier, Make and Airtable to automate workflows and integrate third party tools with your systems to reduce manual effort and increase productivity. 𝐎𝐝𝐨𝐨 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭: Customizing Odoo ERP and CRM systems, developing custom modules, automating workflows and optimizing business processes with Odoo. 𝐀𝐈 𝐏𝐫𝐨𝐦𝐩𝐭 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: Crafting and optimizing AI prompts for OpenAI models and other large language models to enhance conversational AI applications and provide better user experiences. 𝐂𝐨𝐫𝐞 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: 𝐅𝐫𝐨𝐧𝐭-𝐄𝐧𝐝: React, Angular, JavaScript, Node.js, TypeScript 𝐁𝐚𝐜𝐤-𝐄𝐧𝐝:Python, Django, Flask, FastAPI, GraphQL 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬: PostgreSQL, MySQL, NoSQL, MongoDB, DynamoDB, Redis 𝐂𝐥𝐨𝐮𝐝 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬: AWS , Azure, Google Cloud 𝐀𝐈 & 𝐌𝐋: TensorFlow, PyTorch, OpenAI, Scikit learn, Keras 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: ETL/ELT pipelines, data cleaning, data transformation 𝐍𝐨-𝐂𝐨𝐝𝐞/𝐋𝐨𝐰-𝐂𝐨𝐝𝐞: n8n, Zapier, Make, Airtable 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧:CI/CD, AWS CodePipeline, Docker, Kubernetes 𝐂𝐑𝐌 𝐒𝐲𝐬𝐭𝐞𝐦𝐬: Odoo, Salesforce, Zoho CRM 𝐖𝐡𝐚𝐭 𝐘𝐨𝐮 𝐂𝐚𝐧 𝐄𝐱𝐩𝐞𝐜𝐭: 𝐃𝐲𝐧𝐚𝐦𝐢𝐜 𝐖𝐞𝐛 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬: Full-stack solutions that integrate the front-end and back-end seamlessly for user-friendly, high-performance web apps. 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐀𝐈 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬: I integrate AI/ML models, build chatbots and develop intelligent applications that enhance user interactions and automate tasks. 𝐎𝐝𝐨𝐨 𝐄𝐑𝐏 𝐂𝐮𝐬𝐭𝐨𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧: Tailored Odoo solutions for your business needs, from custom modules to automation and CRM integration. 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 & 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬: Using no-code tools to simplify business workflows, integrate third-party solutions and improve system efficiency for greater productivity. 𝐀𝐈 𝐏𝐫𝐨𝐦𝐩𝐭 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: Optimizing AI prompts for GPT models and other LLMs to provide efficient, accurate and responsive chatbot experiences. 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 & 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬: Reliable data pipelines, clean database structures, automated reporting, dashboards, and data systems that help businesses make better decisions. I help businesses eliminate costly bottlenecks by building reliable, production-ready solutions that streamline operations and save time. From implementation to documentation, every solution is designed so teams can confidently manage and scale it long after delivery.

I build production AWS systems. I'm Kamran, an AWS-specialized Full Stack Engineer with 5+ years delivering SaaS platforms, serverless backends, and AI-integrated applications - all built natively on AWS. --- 🏆 What I've delivered: - SaaS platforms with multi-tenancy, billing, and RBAC on AWS - AI-powered chatbots and automation using Bedrock, Lex, Comprehend, Polly, Textract - Browser automation systems with Playwright running on ECS Fargate + SQS - Document intelligence pipelines - extract, summarize, classify at scale - Enterprise HCM platforms serving Middle East organizations on AWS - Infrastructure as Code with CDK - clean, auditable, repeatable --- 💡 You should hire me if: - You're building a SaaS product and need solid AWS architecture - You need AI features built into your product - chatbots, document processing, summarization, transcription, ai processing - You want serverless that actually works in production, not just demos - You need an engineer who owns the problem end to end --- 🔹 AWS Stack: Lambda · Step Functions · CDK · API Gateway · DynamoDB · Aurora · Cognito · EC2 · ECS · ECR · S3 · SQS · SNS · EventBridge · IAM · Bedrock · AgentCore · Lex · Comprehend · Textract · Polly · Transcribe · Rekognition · CloudWatch · Amazon Connect · AgentCore · RDS · ElastiCache · Athena · Glue · Kinesis · Redshift · VPC · Route 53 · CloudFront · ACM · WAF · Secrets Manager · Parameter Store 🔹 Supporting Tech: Node.js · NestJS · Python · FastAPI · React · Next.js · PostgreSQL · Kafka --- Quality, Commitment, and Trust — on every project. 📩 Tell me what you're building. Let's ship it on AWS.

I help healthcare organizations build medical imaging systems that work in real clinical environments — not just demos. With 7+ years in healthcare technology spanning PACS infrastructure, medical AI research, and enterprise EMR development, I've seen what breaks in production and what doesn't. I work with hospitals migrating legacy systems, startups building medical viewers, and teams deploying AI in regulated clinical settings. Background: - 2+ years at one of Korea's largest EMR providers (Douzone) — frontend architecture, healthcare data pipelines, compliance-critical systems - 2 years biomedical R&D (Gachon University) — production AI segmentation for radiology, GPU cluster deployment - 3+ years healthcare IT systems — PACS infrastructure, medical equipment integration, hospital-facing deployments What I do: - DICOM/PACS systems: routing, migration, Orthanc+OHIF integration - Cloud medical imaging: AWS-based PACS with HIPAA- aware PHI handling - AI in clinical workflows: from model to production deployment - Legacy modernization: hospital system migrations with zero-downtime strategies - AI-augmented development: I use Claude Code and MCP integrations daily in enterprise healthcare work — ask me about my workflow Recent work: - DICOM routing platform: horizontally-scalable architecture with HAProxy failover, validated through load testing and client production deployment - Cloud PACS deployment: Orthanc + S3 + OHIF with automated PHI detection for HIPAA compliance - Real-time AI segmentation: production deployment on hospital GPU infrastructure - Enterprise healthcare pipelines: Kafka/Flink metrics processing at major Korean EMR provider Stack: Python/FastAPI · Orthanc · OHIF · pydicom · React/TypeScript · PostgreSQL · Redis · Docker · AWS · Kafka I'm direct, detail-oriented, and I ask clarifying questions before starting work. If you're not sure whether your project needs a DICOM specialist — message me, I'll tell you honestly.

Full-Stack Developer (14+ Years) | PHP/Laravel, React, Vue, Next.js, Angular | phpFox & Adserver Specialist I help businesses build, scale, and maintain robust web applications — from custom social/dating platforms to ad serving systems and React/Ionic mobile apps. With 14+ years of hands-on experience and 100% Job Success on Upwork, I deliver clean, maintainable code and clear communication every step of the way. What I bring to your project: ✅ Full-Stack Development — PHP/Laravel, Node.js, React, Vue, Angular, Next.js, Ionic ✅ phpFox Customization — Custom modules, dating/social wizards, admin panels, plugin development ✅ Ad Server & Adnetwork Systems — Built complete ad delivery platforms with Laravel + ReactJS, including impression tracking and analytics dashboards ✅ Pixel-Perfect UI Development — Figma/XD/PSD to responsive HTML/React with attention to detail ✅ DevOps & Deployment — Azure DevOps pipelines, CI/CD, cPanel deployments, Docker setups ✅ Bug Fixes & Maintenance — Fast turnaround on debugging, performance optimization, and legacy code fixes ✅ Database Design — MySQL, PostgreSQL with optimized queries and migrations Recent work includes building event management platforms, real-time bidding apps with live polling, e-commerce promotion systems, automotive estimate tools, and ad network infrastructure with Redis/ClickHouse. I treat every project like it's my own — focused on clean code, on-time delivery, and long-term reliability. Let's discuss your project and how I can help bring it to life.