I build production-grade algorithmic trading systems and scalable trading platforms for traders and fintech teams who care about capital protection, execution quality, and long-term stability. If your strategy looks good in backtests but struggles in live markets, the problem is usually risk management, execution logic, or system design not the strategy itself. My work focuses on turning ideas into robust, deployable trading systems that behave predictably under real market conditions. What I Do - Design and develop (fully automated & semi-automated) - Build algorithmic trading systems using Python and event-driven architectures - Implement risk management engines(max equity drawdown, daily loss limits, exposure control) - Perform strategy validation & optimization (backtesting, walk-forward analysis, Monte Carlo testing) - Create automated signal systems (alerts, dashboards, integrations) - Develop scalable web platforms for trading, analytics, and signal delivery Who I Work With - Prop-firm traders (FTMO / Topstep-style rules) - Professional traders automating discretionary strategies - Signal providers scaling to multiple users - Fintech startups building trading or analytics platforms MT5 / MT4 broker environments - Alpaca Markets - Interactive Brokers (IBKR) - IC Markets, Exness, Switch Markets - Indian brokers via API: Zerodha, Upstox, Angel One, Groww, Fyers - Other REST / WebSocket–based broker APIs Markets Covered - Forex markets - Crypto markets (centralized exchange APIs) - Indian markets (Equity, F&O, intraday & positional systems) - Other global markets supported via broker or exchange APIs Delivery Process - Strategy & risk review - System architecture and milestone planning - Development with internal testing - Client testing and refinements - Deployment and post-delivery support Technology Stack ⤵️ Trading & Market Integration - MetaTrader 5 (MQL5 Expert Advisors) - TradingView (Pine Script, webhook automation) - FIX protocol (client-side integrations) - REST & WebSocket market data feeds - Broker & prop-firm rule–aware execution logic Backend & Algorithmic Systems - Python (event-driven & async systems) - FastAPI, Django, Flask - Strategy engines & signal generators - Backtesting frameworks, walk-forward analysis - Monte Carlo & stress testing pipelines Risk & Execution - Drawdown & daily loss control engines - Position sizing & exposure management - Slippage, spread & volatility filters - Order lifecycle management - Fail-safe & kill-switch logic - Web & Platform Development - REST APIs & real-time WebSocket services - Trading dashboards & analytics panels - Admin panels & client portals - Authentication, role-based access control (RBAC) - Multi-tenant SaaS architecture Frontend - React.js, Next.js - Vue.js (when required) - Tailwind CSS - Responsive & mobile-friendly UIs Databases & Data Engineering - PostgreSQL - Redis (caching & queues) - TimescaleDB (time-series data) - InfluxDB / ClickHouse (high-frequency data) - Market data pipelines & normalization Cloud & DevOps - AWS (EC2, RDS, Lambda, S3) - Google Cloud Platform - Docker & containerized deployments - CI/CD pipelines - VPS & cloud-hosted trading systems Messaging & Integrations - Telegram bots & alert systems - Webhooks & third-party integrations - Payment gateways (Stripe, Razorpay) - Notification systems (email, push) Security & Reliability - JWT & OAuth-based authentication - Secrets & configuration management - Logging, monitoring & alerting - Error handling, retries & recovery logic Post-Delivery Support - Clean, documented code - Deployment assistance - Optional long-term maintenance & optimization - IP ownership transferred upon project completion Typical Engagements - Converting discretionary strategies systems - Building prop-firm–ready trading engines with strict risk rules - Launching signal platforms with dashboards and alerts - Upgrading unstable or overfitted trading bots · · ─ ·𖥸· ─ · · Algo Trading | Fintech | Web App | Custom Strategy | Application Developer · · ─ ·𖥸· ─ · ·

I build web and mobile products that ship, scale, and stay maintainable. Over the past year I've taken SaaS platforms from early-stage to production, led small dev teams, and integrated AI features that actually move the needle. On the backend I work with Node.js, Django, and FastAPI, designing REST APIs, handling database architecture across MongoDB, PostgreSQL, and Supabase, and wiring up third-party integrations including Stripe Connect, OpenAI, and payment systems. On the frontend I build with React, Next.js, and React Native, delivering interfaces that are fast, responsive, and clean across web and mobile. For infrastructure I deploy on AWS EC2, manage containerized environments with Docker, implement CI/CD pipelines, and handle Redis caching for high-performance systems. For browser automation and scraping I use Puppeteer. On the AI side I've integrated LLMs, LangChain workflows, voice assistants, chatbots, and real-time AI-driven features into production applications. I approach LLM prompt engineering practically, building prompts that produce reliable, production-grade outputs rather than impressive demos. I've shipped an AI-powered accessibility SaaS platform, a cross-platform ride-sharing app, a production EHR system, and an HRM platform managing payroll and onboarding workflows. Real products, real users, real deadlines. If you need someone who takes ownership, reads an existing codebase quickly, and delivers without hand-holding, let's talk.

I build entire products, not just features. From database design to deployment pipelines, I handle the complete journey of turning ideas into working software. Started my career fixing a production server that crashed during Black Friday. That baptism by fire taught me something crucial: good code is just the beginning. Real value comes from understanding the entire system – how users interact with your frontend, how data flows through your backend, and how everything stays running when traffic spikes. ✦ What full stack means to me: It's not about knowing every technology (nobody does). It's about connecting the dots. When your React component is slow, sometimes the fix is in your MongoDB indexes. When your API times out, maybe it's your Nginx configuration. I debug across the entire stack because problems rarely respect boundaries. ✦ Technologies I work with daily: → Frontend • React • Next.js • JavaScript, TypeScript • Redux toolkit, Zustand • Tailwindcss, Shadcn ui, MUI and other • Whatever UI library makes sense for your project. I write interfaces that feel fast even on slow connections. → Backend ↳ For JavaScript projects; • JavaScript • TypeScript • Node.js • Express • Aggregation Framework ↳ For Django/DRF projects; • Python • Django & Django REST Framework • Django/DRF → Databases ↳NoSQL; • MongoDB • Mongoose. ↳SQL; • PostgreSQL • MySQL. → Others REST APIs, GraphQL servers, and real-time systems with Socket.io. PostgreSQL, MongoDB, Redis – I pick databases based on your data, not trends. → DevOps Docker containers that actually work in production, CI/CD pipelines that don't break every Tuesday, AWS/GCP deployments that don't cost a fortune. I automate the boring stuff so we can focus on building features. ✦ Real projects I've shipped: ↳ Built a food delivery platform handling 50K daily orders (MERN + Redis for caching) ↳ Created a learning management system for 100K students (Django + React + AWS) ↳ Developed a real-time analytics dashboard that processes millions of events (Node.js + ClickHouse + WebSockets) ↳ Set up auto-scaling infrastructure that saved a startup $30K/month in cloud costs My approach: I start by understanding your business, not your tech stack. Sometimes the best solution is a simple Express server. Sometimes you need microservices. I've seen both over-engineered MVPs and under-engineered enterprise apps. I'll tell you what you actually need. I write code like someone else will maintain it (usually future me). Clear variable names, useful comments, and documentation that actually helps. I've inherited enough mysterious codebases to know better. ✦ The truth about full stack: Nobody is equally good at everything. My strength is connecting pieces and making them work together. I can build your entire MVP solo, or I can jump into your team and fill whatever gap is slowing you down. Need someone to dockerize your app? Set up monitoring? Build that complex dashboard? Debug why your server crashes at 3 AM? I've done it all. If you want someone who asks "why" before "how" and delivers solutions that work in the real world, reach out. Tell me what you're building and what's keeping you up at night. I'm here to make those problems go away.

🚀 I build the backend infrastructure that powers forex brokers, prop firms, and trading platforms — fast, scalable, and production-ready. With 5+ years in backend engineering and deep focus on MetaTrader 5 ecosystems, I specialize in low-latency trading systems, margin engines, and broker SaaS platforms. I don't just code features — I design systems that handle real money, real risk, and real-time execution. If your platform needs to be accurate, fast, and reliable under load, you're in the right place. 💡 WHAT I CAN BUILD FOR YOU ⚡ Trading Infrastructure (Core Systems) - Order Management Systems (OMS) - Trade execution pipelines - Real-time price feed processing - High-concurrency trading backends 📊 Margin & Risk Engines - Real-time margin calculation (MT5-style logic) - Liquidation & stop-out systems - Exposure tracking & risk controls - Swap, leverage, lot sizing calculations 🏦 Broker SaaS Platforms - Multi-tenant broker systems (built from scratch) - Client dashboards & admin panels - Subscription & challenge systems (prop firms) - CRM & payment gateway integrations 🔗 Trading Integrations - MT4 / MT5 bridges - FIX protocol integrations - Liquidity provider APIs - WebSocket-based real-time systems 📈 P&L & Reporting Systems - Real-time P&L tracking - Trade history & reconciliation - Performance analytics & reporting 🛠 TECH STACK Backend: Golang (Gin, Fiber, gRPC), Python (FastAPI) Messaging: Kafka, NATS, Redis Pub/Sub, WebSockets Databases: PostgreSQL, TimescaleDB, Redis, ClickHouse Infrastructure: Docker, Kubernetes, AWS, Terraform Protocols: FIX, REST, WebSocket, gRPC 🎯 WHY CLIENTS CHOOSE ME - Strong understanding of both trading logic and backend systems (margin, leverage, execution flow, broker operations) - Built 2 broker SaaS platforms from scratch (architecture, system design, scaling) - Focus on low latency and high throughput systems for real-time trading - Clean, production-ready, scalable code - End-to-end ownership from idea to deployment 🧠 MY EDGE Most developers know backend OR trading. I work at the intersection of both. That means: - No need to explain trading basics to me - Faster development cycles - Fewer costly mistakes in trading logic 🤝 LET'S BUILD If you're building a forex broker platform, prop trading firm, trading SaaS product, or scaling an existing system — I can help you design and build reliable, production-grade infrastructure. Send me a message and let's discuss your system. — Trading Engine Developer, Forex Platform Developer, Broker SaaS, Margin Engine, Order Management System, Prop Firm Software, Trading Backend, Golang Fintech, Python Trading, MT4 MT5 Integration, Liquidity Bridge, FIX Protocol, Risk Engine, P&L System, White Label Broker, CFD Platform, Copy Trading System, Forex Broker Developer, Trading Bot, Algo Trading, Prop Firm Dashboard, MetaTrader Developer, Execution Engine, WebSocket Trading, Real-Time Trading System

Full-stack developer of complex business applications with a focus on data What I do best: ⚙️ Custom business automation where standard software doesn't work/is expensive. I know ways to drive your recurring costs toward zero 🧠 Product aggregation and matching 🔌 API integrations and development of APIs ⏱️ Long-term scraping projects built for maximum robustness and reliable data delivery 🗄️ High-quality scraping of bulk data (millions of products, terabytes of images) 🦾 Browser automation Projects I have completed and now maintain: 📧 A full-featured BYOK email automation platform packed with everything you need to run email marketing campaigns on your own — paying only for your SMTP server. Now, with AI-powered phone outreach! 🏢 An internal platform for an advertising company to manage the distribution of product samples to ~1M people yearly. Features include a 1.3M contacts database, a built-in email platform, invoice generation for subcontractors, reports and dashboards to measure employees’ and subcontractors’ KPIs, project management, task management, and more. 💬 A version of email marketing software for communication with customers on an Airbnb-like platform. 🏠 Data aggregation and analytics software for Airbnb and similar platforms that helps hosts make better decisions by analyzing competitors’ prices, availability, and income trends. 🗂️ Product/real estate/jobs aggregator, scraping inventories of up to 10 websites, 100K+ products. Features 1-hour update cycle, Shopify and WooCommerce integrations, AI-powered product description management. How I work: You simply describe the problem you want to solve, and I help shape the idea of a product that will solve it effectively. Then, I quickly deliver to you the minimally viable product (MVP), and we can evaluate it live and improve it to perfection. I can do it because: - I have 10 years of experience as the head of an IT department in a small company, serving as an intermediary between completely non-technical people and a team of developers. - I have even more years of experience as a programmer and already built solutions for most common business challenges. - I'm a full-stack programmer with DevOps skills. I can build any web app for business from scratch, deploy it, and debug it until it works fine. I can work without any prototypes — if you have some, they’re also welcome. - I'm an AI enthusiast, making use of AI everywhere it can help. - Proven track record: 9 years on Upwork, 100% job success. Feedback: 💭 "Petr was fantastic to work with! He was thorough, made sure to understand the project requirements well and executed flawlessly" 💭 "The job was complicated, and Petr succesfully went back and forth in the initial deliverables, until we could get the product we needed" 💭 "He battled through to the end, not giving up, remaining responsive, and delivering excellent results. We paid a 1000% bonus and he earned every dollar of it" Many can write code. Few can make a product that works for you. Click "Invite to Job" and let's get things done. ===================== Key skills: Python, Playwright, Beautiful Soup, PHP, WordPress, Woocommerce, API, BYOK, DuckDB, Clickhouse, MySQL, Excel, Google Sheets, Open AI, OpenAI, Claude, Gemini, AI integration, AI content writing, Vapi, Retell AI, Twilio, RESTful API, Web Development, Front-End Development, Back-End Development, API Development, Web API, Full-Stack Development, HTML5, CSS3, JS, JavaScript, Bootstrap, jQuery, Ajax, AWS, Linux, Ubuntu, Nginx, Apache, memcached, CRM, ERP, DMS, HTML, CSS, Dashboard development, Data visualisation, Project Management Software, Customer Relationship Management Software, Distribution Management Software, Web services, Pipedrive, n8n, XML, XSL, JSON, Shell Scripts, UI, UX, Stripe, Paypal, Google Maps, Google API, Google Charts

𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗣𝗹𝘂𝘀 | 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 | 𝗔𝗜/𝗠𝗟 & 𝗕𝗹𝗼𝗰𝗸𝗰𝗵𝗮𝗶𝗻 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 | 𝟭𝟬+ 𝗬𝗲𝗮𝗿𝘀 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 Hi, I'm Alex, a senior full-stack developer with over a decade of experience building scalable web apps, SaaS platforms, and e-commerce solutions. I don't just write code; I solve business problems. What sets me apart is how I blend classic full-stack engineering with emerging tech like 𝗔𝗜/𝗠𝗟, 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀, and 𝗯𝗹𝗼𝗰𝗸𝗰𝗵𝗮𝗶𝗻 not as gimmicks, but as practical tools that give your product a real competitive edge. Whether you need a lean MVP, an enterprise-grade platform, or AI woven into your core logic, I'll turn your vision into a production-ready product you can be proud of. --- 𝗛𝗼𝘄 𝗜 𝗪𝗼𝗿𝗸 (𝗔𝗻𝗱 𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗦𝘁𝗶𝗰𝗸 𝗪𝗶𝘁𝗵 𝗠𝗲) I take ownership. From the first line of UI code to the final deployment pipeline, I'm thinking about scalability, maintainability, and your actual business goals. 𝗡𝗲𝗲𝗱 𝘁𝗼 𝗴𝗲𝘁 𝘀𝗺𝗮𝗿𝘁𝗲𝗿 𝘄𝗶𝘁𝗵 𝗱𝗮𝘁𝗮? I've built everything from recommendation engines and intelligent search to custom LLM pipelines using 𝗢𝗽𝗲𝗻𝗔𝗜, 𝗖𝗹𝗮𝘂𝗱𝗲, and 𝗛𝘂𝗴𝗴𝗶𝗻𝗴 𝗙𝗮𝗰𝗲. I also design 𝗮𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀—think support bots, data extraction workflows, or dynamic task automation—that run reliably in production. 𝗖𝘂𝗿𝗶𝗼𝘂𝘀 𝗮𝗯𝗼𝘂𝘁 𝗪𝗲𝗯𝟯? Whether it's smart contracts, tokenized systems, or decentralized identity, I can guide you through the blockchain landscape and integrate those features seamlessly into a modern web app. 𝗗𝗮𝘁𝗮-𝗱𝗿𝗶𝘃𝗲𝗻 𝘁𝗼 𝘁𝗵𝗲 𝗰𝗼𝗿𝗲? I have a data engineer's mindset. That means I don't just build apps that collect data. I build scalable pipelines (Snowflake, BigQuery, Kafka) that turn that data into your most valuable asset. Above all, I communicate clearly. You'll get proactive updates, honest timelines, and a solutions-oriented partner who wants your product to succeed for the long haul. --- 𝗧𝗲𝗰𝗵 𝗦𝗻𝗮𝗽𝘀𝗵𝗼𝘁 (𝗪𝗵𝗮𝘁 𝗜 𝗔𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗨𝘀𝗲 𝗗𝗮𝗶𝗹𝘆) 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 Ruby on Rails, Node.js, Python (FastAPI, Flask, Django) REST, GraphQL, WebSockets TDD with RSpec, Jest, Mocha Sidekiq, Redis, background jobs JWT, OAuth2, RBAC 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱 React, Vue, Next.js, Angular, StimulusJS Tailwind, Material UI, Bootstrap Jest, Cypress, Playwright SPA, SSR, PWA, responsive + a11y 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 & 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 PostgreSQL, MySQL, MongoDB Redis, Elasticsearch, OpenSearch Snowflake, BigQuery, Redshift, ClickHouse 𝗗𝗲𝘃𝗢𝗽𝘀 & 𝗖𝗹𝗼𝘂𝗱 AWS (EC2, RDS, Lambda, SageMaker), GCP, Azure Docker, Kubernetes, GitHub Actions, GitLab CI Serverless, Heroku, Render, DigitalOcean 𝗔𝗜 / 𝗠𝗟 / 𝗔𝗴𝗲𝗻𝘁𝘀 Scikit-learn, TensorFlow, Keras, Pandas OpenAI (GPT-4), 𝗖𝗹𝗮𝘂𝗱𝗲 (𝗔𝗻𝘁𝗵𝗿𝗼𝗽𝗶𝗰), Hugging Face 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀 (autonomous workflows, multi-agent coordination, task automation) NLP, classification, forecasting, recommendation systems Jupyter, ML pipelines, model monitoring 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 ETL (Airflow, Prefect, Dagster) Data lakes/warehouses (S3+Athena, BigQuery) Real-time streaming (Kafka, Redis Streams) Analytics dashboards (Metabase, Superset) 𝗠𝗼𝗯𝗶𝗹𝗲 & 𝗔𝗣𝗜𝘀 Flutter, React Native Stripe, Paddle, PayPal Twilio, SendGrid, Mailgun Google APIs, Firebase, Shopify, Salesforce, Zapier --- 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀 & 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗜 𝗔𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗘𝗻𝗷𝗼𝘆 - 𝗦𝗮𝗮𝗦 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀 – B2B, B2C, internal tools - 𝗘-𝗰𝗼𝗺𝗺𝗲𝗿𝗰𝗲 – Shopify customizations, marketplaces - 𝗔𝗜-𝗲𝗻𝗵𝗮𝗻𝗰𝗲𝗱 𝘄𝗲𝗯 𝗮𝗽𝗽𝘀 – smart search, auto-tagging, moderation, 𝗮𝗴𝗲𝗻𝘁-𝗯𝗮𝘀𝗲𝗱 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 - 𝗪𝗲𝗯𝟯 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀 – DApps, wallets, NFT platforms - 𝗗𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱𝘀 & 𝗮𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 – admin panels, KPIs, visualizations - 𝗖𝘂𝘀𝘁𝗼𝗺 𝗖𝗥𝗠𝘀 & 𝗘𝗥𝗣𝘀 – tailored to real workflows - 𝗦𝘁𝗮𝗿𝘁𝘂𝗽 𝗠𝗩𝗣𝘀 – fast, lean, but built to scale --- 𝗟𝗲𝘁'𝘀 𝗕𝘂𝗶𝗹𝗱 𝗦𝗼𝗺𝗲𝘁𝗵𝗶𝗻𝗴 𝗦𝗺𝗮𝗿𝘁 If you're looking for a developer who combines clean architecture with business sense, understands how to integrate 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀 and 𝗯𝗹𝗼𝗰𝗸𝗰𝗵𝗮𝗶𝗻, and actually communicates like a human, let's talk. Send me a brief about your project or challenge. I'll give you honest feedback, answer your questions, and help you launch with confidence.

✅ 8 years in software engineering | ✅ Full-Stack architecture | ✅ AI-powered systems Senior full-stack developer, software architect, and technical lead with 8 years of hands-on software development experience. My background also includes 15+ years working with enterprise business and IT systems, including IBM and SAP environments. I build scalable SaaS platforms, custom marketplaces, AI-powered systems, automation infrastructure, and high-performance web applications using TypeScript, Python, and cloud-native architectures. Beyond engineering, I bring strong system design, business analysis, planning, and delivery management capabilities. 𝗦𝗲𝗹𝗲𝗰𝘁𝗲𝗱 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 ● AI orchestration SaaS platform to benchmark, build, and scale production-ready ML pipelines. ● Hybrid AI & Graph Query Engine: - Engineered an ETL pipeline feeding a columnar DB, graph Neo4j db, and a vector storage with AI-generated summaries; - Enabled multi-dimensional querying, letting users seamlessly combine instant structured filtering with deep graph traversal and LLM-driven semantic retrieval; - Optimized for low-latency GraphRAG. ● Distributed browser automation with proxy orchestration, anti-bot mitigation, and high-concurrency execution. ● In-game items marketplace with complex fulfilment and full end-to-end bot automation. ● In-game currency marketplace that implicitly connects clients and liquidity providers, processes thousands of transactions daily and serves hundreds of thousands of users. ● Social and subscription platform with custom Stripe flows, gated content systems, and real-time video streaming. ● Highly indexable service marketplace with near-perfect Lighthouse SEO scores and an average 50ms response latency, directly driving lower bounce rates and superior organic search visibility. 𝐂𝐨𝐫𝐞 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 ✔ Front-end: React/Next.js and modern frontend architectures. ✔ Back-end: - Node.js, NestJS, tRPC, GraphQL; - Python and FastAPI; - Relational database design with PostgreSQL and modern ORMs; - High-performance analytical and columnar databases: ClickHouse, DuckDB, Parquet; - NoSQL: Redis, MongoDB, DynamoDB, Neo4j; - Vector databases: Qdrant, pgvector, Chroma; - Queue-based architectures, Pub/Sub systems, and workflow orchestration. ✔ AI Engineering: - LangChain, LangSmith, DeepAgents; - OpenAI APIs and modern LLM ecosystems; - RAG systems and agentic workflows; - Model self-hosting with vLLM and Ollama; - AI automation and orchestration systems. ✔ Browser automation & scraping; ✔ Cloud infrastructure & DevOps: - AWS, GCP, Firebase, Cloudflare, Vercel, Supabase; - Docker, AWS ECS, GCP Kubernetes; - Linux server configuration, NGINX, proxies. ✔ Testing & Delivery: - Unit, integration, component, and E2E testing; - CI/CD with GitHub Actions and cloud-native deployment workflows. I’m highly self-sufficient, reliable, detail-oriented, and business-focused. I enjoy turning technically complex ideas into reliable production systems with strong engineering foundations and clear business value.

Your data pipeline is either driving decisions, or quietly slowing your business down. Most teams don’t struggle with data volume, they struggle with reliability. Pipelines fail without alerts, dashboards lag behind reality, and engineers spend more time fixing than building. The result is slower decisions, growing technical debt, and missed opportunities. I design and build robust, scalable data systems that simply work, from ingestion to analytics-ready data. The focus is always on clarity, performance, and reliability, so your team can trust the data and move faster without constant firefighting. My tech stack: Python, SQL, Spark, Apache NiFi, Airflow, Kafka, Flink, Snowflake, BigQuery, AWS, GCP, Docker, Terraform, and FastAPI. If you share your current setup or challenge, I’ll break down exactly how to fix or scale it. I usually respond within a few hours.

Hi, I am tech-savvy data scientist who also knows the marketing side of things as well. I can set up your proper technology stack for data processing, data visualization, data modeling so that you can track your important business KPIs. 😎 Certified AWS Machine learning engineer and OSS enthusiast who loves to explore technology, especially about open-source. I can work with SQL to combine data from various sources and create meaning out of it. Let me know your requirements, and I will be happy to help you on your projects. Regards Anas

𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 | LLMs, Agentic Systems, RAG, MLOps I build cost-efficient ML systems for B2B SaaS | Reduced token costs 90% through hybrid architecture You want an AI Engineer who turns messy, real-world problems into reliable, production-ready solutions. With 3+ years across LLM apps, multi-agent systems, and data products, I focus on your outcome first—then design a solution that fits your constraints, stack, and budget. From retrieval-augmented question-answering to agentic automations and on-edge inference, I’ll help you ship AI that actually works in production. Hi, I’m Nirasha, and I’m here to bring your AI vision to life. 🔎 𝗛𝗼𝘄 𝗜 𝗪𝗼𝗿𝗸 1) In-Depth Discovery We’ll align on goals, KPIs, risks, compliance needs, and success criteria. I map business outcomes → technical plan → delivery milestones. 2) Modular Problem-Solving I break features into testable units (ingestion, retrieval, prompting, tools, memory, evals). Fast iterations, measurable improvements. 3) The Right Tools, Not Just the Newest I combine proven libraries (LangChain, LlamaIndex, FastAPI) with the best model for the job (OpenAI, Anthropic, Llama, fine-tuned local) and solid retrieval (FAISS/Pinecone/Weaviate/pgvector). 4) Clear, Frequent Communication Plain-English updates, demo videos, and short changelogs each milestone. You’ll know what’s done, what’s next, and what’s blocked. 5) Secure, Performant, and Maintainable I productionize: tracing, evals, guardrails, cost/latency tuning, CI/CD, containers, and IaC—so your app scales and survives real users. 🧠 𝗖𝗼𝗿𝗲 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 LLM Apps & Agents: tool-using agents, multi-step planners, orchestration, memory, critique-and-refine loops RAG Systems: data pipelines, chunking & embeddings, hybrid search, citations, freshness, evals (faithfulness, answer quality) Document Intelligence: PDF/Word/CSV/HTML parsing, schema extraction, entity linking, summarization Voice & Vision Add-ons: simple ASR/TTS pipelines; CV hooks for verification & analytics when needed MLOps: Docker, FastAPI, Helm, CI/CD, tracing (Helicone/OpenTelemetry), testing harnesses, cost & latency optimization Infra: AWS (Lambda, ECS, S3, API GW), GCP (Cloud Run), Vercel, Railway; Postgres, Redis, MongoDB, ClickHouse 🏆 𝗡𝗼𝘁𝗮𝗯𝗹𝗲 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 & 𝗥𝗲𝘀𝘂𝗹𝘁𝘀 Agentic Interviewing Assistant Built a multi-agent interview system extracting highlights, skills, and risk signals from calls; added automated scoring + summaries with citations. Reduced manual review time by 60% while improving consistency. Cheat Detection & Quality Control Evaluators Designed evaluator suite (hallucination checks, prompt-injection guards, English proficiency, relevance scoring). Integrated tracing & dashboards for fast A/B iteration. RAG for Knowledge Bases (Compliance-Friendly) Structured ingestion → chunking → embeddings → hybrid search with reference-grade citations and freshness control. Latency down 35% via caching & query planning. Prospect Research Auto-Writer Given a company URL, an agentic pipeline crawls, extracts facts, and writes a 1-page brief with linked sources. Added fact-checking pass + domain-specific style guide. Edge-Friendly Deployments Packaged smaller models + quantization for on-prem/air-gapped use; standardized adapters so teams can swap providers without rewrite. 🧰 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 Python, FastAPI, LangChain, LlamaIndex, OpenAI/Anthropic/Llama, FAISS/Pinecone/Weaviate, pgvector, PostgreSQL, MongoDB, Redis, ClickHouse, Docker, GitHub Actions, Helm, Cloud Run / ECS / Lambda, Streamlit/Next.js for admin consoles, Helicone/OpenTelemetry for tracing. 🤝 𝗟𝗲𝘁’𝘀 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗲 Need to ship an AI feature or full product? I’ll clarify your goals and constraints. I’ll design a modular, data-driven plan. I’ll deliver in milestones with demos, tests, and evals. Message me with your use case (what it should do, who uses it, sample data, timeline). I’ll propose a crisp plan and a fixed/flexible engagement that fits your needs. Services Menu RAG Knowledge Assistant (with citations & freshness) Multi-Agent Workflows (research, data extraction, QA) AI Chat & Helpdesk (tools, memory, guardrails) Document Processing Pipelines (PDF → JSON, entity extrac