📩 Let’s build your next AI breakthrough—message me to get started. 🔹 Availability: Full-time (40–50 hrs/week) | Open to long-term & enterprise AI projects 🔹 Trusted AI/ML Engineer with 8+ years of experience delivering scalable solutions for startups and SaaS I am a Full-Stack AI/ML Developer specializing in AI integrations, backend systems, and scalable web applications. HIGHLIGHTS: ---------------- 6+ years as a Full-Stack AI/ML Developer Focus on performance-driven, scalable, SEO-optimized applications AI & LLM EXPERTISE: ---------------------------- Synthetic dataset generation & LLM evaluation frameworks LLM deployment on AWS, GCP, RunPod AI Agents & Voice Bots (CrewAI, AutoGen, Polly, Deepgram) Open-source LLM deployment using vLLM/TGI (SkyPilot) CORE SKILLS ----------------- Backend: Python (FastAPI, Flask, Django), APIs, automation Full Stack: MERN (MongoDB, Express, React, Node.js) Data & Automation: Web scraping, crawling, bots, data pipelines DevOps: Docker, Kubernetes, CI/CD (AWS, Azure, GCP) APIs: OpenAI, Stripe, Telegram, Binance, BetFair, OddsJam SERVICES --------------- ⚙️ Automation & Workflow Systems ⚙️ Trading Bots & Strategy Automation ⚙️ AI Dashboards & Data Visualization ⚙️ Custom Scripts & API Development ⚙️ Web Scraping & Data Extraction AI SPECIALIZATIONS: ---------------------------- AI & Voice Agents (CrewAI, AutoGen) LLM Fine-tuning (LoRA, QLoRA, RLHF, DPO) Open-source LLMs (LLaMA 3, Mistral, Mixtral) Fast inference (vLLM, TGI, DeepSpeed) RAG pipelines & vector search Prompt engineering & multi-agent systems I focus on building reliable, production-ready systems and long-term client partnerships by consistently delivering beyond expectations. Let’s discuss how I can add value to your project.

Hey! Invite me as your AI colleague and I will help you find where AI can save time, reduce cost, and create measurable ROI in your business. 🌟 Senior Full Stack and AI Engineer for SaaS, AI Agents, Automation 🚀 Scaled platforms to 1 Million+ users 💰 Supported $1 Million and $0.5 Million funded startups 💯 100% client satisfaction 🤝 90% recurring clients 🏆 12+ years of professional experience ⭐ 26,732 plus Upwork hours delivered 🔥 $600K+ plus earned through long term client work ✨ 81 plus five star projects completed I use modern workflows and AI coding tools to move up to 5x faster while still reviewing architecture, security, data flow, and code quality manually. Speed matters, but reliability matters more. Built MVPs for startups with $12 Million+ funding raised and products serving 1.5 Million+ users worldwide. 🔥 𝟳𝟱% 𝗛𝗥 𝗿𝗲𝗱𝘂𝗰𝗲𝗱 with AI Agent Development. 🔥 𝟯-𝟲𝘅 𝗥𝗢𝗜. 𝟴𝟬𝟬+ 𝗵𝗼𝘂𝗿𝘀 n8n Automation. Over 12 years I've delivered $670K+ across Web Development, Web Application, and AI Agent Development engagements in FinTech, HealthTech, PropTech, and B2B SaaS. My clients have collectively raised $12 Million+ in funding: 🔥 Tallyfy ($1.4M), MetaBeta (€500K) 🔥 Elevatus ($10.5M) 🔥 scaled to 1 Million+ active users. I am a full stack developer and AI developer with 12 years of experience building production systems across FinTech, HealthTech, PropTech, and B2B SaaS. My clients have raised $12M+ in funding including Tallyfy ($1.4M), MetaBeta (€500K), and Elevatus ($10.5M), and scaled products to 1.5 Million+ active users worldwide. Over 12 years I have delivered $670K+ across web development, web application, and AI agent development engagements with 90% recurring clients and 100% satisfaction. ✅ 12+ years | $670K+ delivered | 1.5M+ users scaled | $12M+ client funding raised ✅ AI agent development: 75% HR reduction, 3-6x ROI, 800+ hours of n8n automation ✅ Full stack development: 40+ production systems across FinTech, HealthTech, PropTech, SaaS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Key results from recent engagements: ▸ Reduced a client's HR overhead by 75% using a Python and LangChain AI agent that replaced 3 full-time employees with a 24/7 autonomous sales system ▸ Built API integration pipelines unifying 12 platforms simultaneously and processing 500+ daily NLP queries ▸ n8n automation across 30 active marketing workflows drove a 40% increase in lead generation ▸ AI chatbot and AI app development solutions returning 3-6x ROI within the first 90 days ▸ PostgreSQL optimizations delivering 3x query performance improvements across high-traffic applications ▸ German tax-filing SaaS processing 36 Million+ declarations on Laravel and PostgreSQL ▸ HIPAA-compliant healthcare platform on Node.js, React, and TypeScript ▸ PropTech portal on Next.js, FastAPI, and PostgreSQL handling 100+ search parameters ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ AI agent development is my primary engineering focus. I design and build full agentic pipelines using Python, LangChain, and machine learning, from RAG-powered vector retrieval and knowledge graphs through to voice AI bots and autonomous multi-agent orchestration. Every AI agent system I deliver applies prompt engineering discipline and data science principles for domain accuracy. I treat AI development as a full-stack business transformation, not a feature addition. I layer API integration, API development, and RESTful API surfaces over FastAPI, Django, and Node.js backends, then deliver them through React, Vue.js, and Next.js frontends. Every AI agent development system I architect applies data science and prompt engineering for domain accuracy. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ I build backend systems on PHP, Laravel, Django, FastAPI, Node.js, NestJS, ExpressJS, and Ruby on Rails. Frontend interfaces are built with React, Vue.js, Next.js, Angular, TypeScript, JavaScript, HTML5, CSS3, and Tailwind CSS. Databases are PostgreSQL, MySQL, and MongoDB. Deployments run on Docker and AWS. I have delivered 40+ production full stack systems across every major vertical. API integration, API development, HTML5, and RESTful API connectivity are non-negotiable standards in every full stack project I lead. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 𝗪𝗲𝗯 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 & 𝗪𝗲𝗯 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ I have built web application and web development systems across every major vertical. React and Next.js frontends pair with PHP, Laravel, and Node.js backends grounded on PostgreSQL, MySQL, and MongoDB. I bring CSS3, HTML5, Tailwind CSS, TypeScript, and automation engineering precision to every interface. Every system I deliver is production-grade, documented, and built to scale. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

The most common reason early-stage startups burn through their runway isn't a bad pivot or a missed hire. It's spending months building a product before a single user validates the core idea. I help founders test the idea first. I'm an Expert-Vetted developer (top 1% on Upwork) with $500K+ billed across 48 projects and 13,000+ hours of production work. My focus is on one deliverable: a working, demo-ready MVP in 60 hours with a core user flow, a live URL, and something worth showing an investor. I use Claude Code as my primary development environment. It lets me ship 2-3x faster than a traditional developer without cutting corners on architecture. That's why 70% of my clients return for the next build, and why half of my work arrives through referrals. I've been writing production Python since 2011. Fifteen years of production work means I know which architectural decisions will scale and which ones will cost you a full rewrite at Series A. A significant portion of that work is now AI and ML: I've shipped LLM pipelines, RAG systems, fine-tuned models, and AI agents for production use, not just prototypes. What I build: Demo-ready MVPs: core user flow, live URL, investor-ready in 60 hours SaaS and web apps: React/Next.js with Django, FastAPI, or Node.js AI and ML products: LLM pipelines, RAG systems, AI agents, fine-tuned models, and ML-powered features using OpenAI, Anthropic, LangChain, LlamaIndex, and Hugging Face ML infrastructure: vector databases (Pinecone, Weaviate, Chroma), embeddings, model deployment, and MLOps pipelines Mobile apps in Flutter and React Native Cloud infrastructure on AWS and GCP with Docker and CI/CD You work directly with me. Not an account manager, not a junior developer assigned after the contract is signed. I own everything: architecture, code, deployment, documentation. Book a free 15-minute scoping call. Let me know what you're building; I'll tell you if 60 hours is realistic for your core flow.

I build AI agents and RAG systems that give trustworthy answers, not plausible-sounding guesses. 9+ years full-stack, Top Rated Plus, 100% Job Success Score. What I actually solve: Most "AI features" fail the same way: the model sounds confident and is wrong. I build the layer that prevents that, grounding every answer in real data, validating before it reaches the user, and making failures visible instead of silent. That's the difference between a demo and something a business actually trusts. Core expertise: 🔹 AI Agents & RAG — natural language to structured, grounded output. Built Vanna AI, an agent that converts questions into SQL, executes it, and validates results before answering. 🔹 Claude Code, daily driver, not occasional use. I make codebases agent-ready (CLAUDE.md, module context, safe patterns), then use adversarial AI review, a second model challenges the first's output before a human ever sees it. I've built MCP servers exposing clean tool calls on top of production backends. 🔹 Full-stack: Python (Django, FastAPI), Node.js, React, Next.js, TypeScript. Databases: PostgreSQL, MySQL, MongoDB, Redis, vector stores (pgvector, Pinecone). 🔹 Document & data intelligence: built Befiler, an AI platform extracting and validating structured data from financial documents, and Fidap, ETL pipelines with AI-assisted data cleaning. 🔹 DevOps & security: Kubernetes, Docker, CI/CD (GitHub Actions, GitLab), GitOps (FluxCD/ArgoCD), RBAC, least-privilege access, secrets management, audit logging. Real projects, not just claims: Vanna AI (vannaai), Befiler, Fidap, LinkGraph/SearchAtlas, Ablestar (Shopify product-ops platform, ablestar). How I work: PRD, plan, AI-assisted build, adversarial review, human review, staging, production, monitoring. AI never ships to production unsupervised, speed doesn't replace judgment. I read your job post before I write a proposal, if I message you, it's because I can genuinely help, not because I mass-applied. Let's talk about what you're building.

💻 I've built 25+ successful projects, including Telegram Mini Apps, Telegram bots, a wide range of scripts, websites, AI chatbots, Web UIs, APIs, payment integrations, browser automation bots, and much more. With this extensive experience, I'm confident I can execute your task better than anyone else. ⚡️ Hit the invite button, and let's discuss the project ✔️ Services: - Web Scraping - Browser Automation - Creating Telegram Mini Apps - Creating Bots (Telegram, Whatsapp, Discord) - Working with API - Creating Web UI (Flask / FastAPI / Django) - Creating Telegram Games - Creating API (FastAPI / Flask / DRF) - Creating Webhooks (FastAPI / Flask / DRF) - Python Scripts - Scraping Data from Endpoints of API / Backend Calls - Creating Desktop Apps (PyQT5 / Tkinter) - Integrating AI to Projects - Saving Data to Excel / CSV / JSON / Google Sheets - Auto Downloading Files - Using Apify API - Auto Processing of Emails - Pygame Games - Creating Telegram Mini Apps - Creating Telegram Games - Scraping Data from YouTube - Creating Notifiers to Telegram - Deployment to Server - Using OpenAI API - Uploading with WooCommerce API - Scraping Zillow / Hipcamp / Campspot - Scraping with Selenium - Web Analyzer - Backend - Creating Auto Uploaders - Integration Binance API - Integration ByBit API - Integrating CoinMarketCap API - Web Scraping from Social Medias - Creating Web Application or Website with React & FastAPI - Integrating payments - Automation for YouTube - Creating projects with YouTube API - Processing video with Python ✔️ Stages of Work 1. You describe your preferences for the project execution and provide tech task to work with. If you don't have it, I will create it by explanation and preferences. 2. After finalizing the details, I do estimate and create plan of development for you. Throughout the process, I share to you ideas how to create project in the best way. 3. Once the estimate is approved, I start to develop the project. 4. I send you the finished project or milestone for review and await any adjustments you may have. 5. I'm always available to communicate with you and maintain project after development. 🚀 As a Python developer, I bring over 4 years of extensive programming experience to the table. Notably, I've clinched victories in programming competitions, showcasing my prowess in the field. Quality and speed are the hallmarks of my work. I prioritize excellence in every task. Customer feedback: ⭐️⭐️⭐️⭐️⭐️ "I have successfully completed several projects with Eduard and will continue to enjoy working with him. He is reliable and responds quickly and reliably to enquiries." - Daniel K. ⭐️⭐️⭐️⭐️⭐️ "Eduard is very skilled, efficient, and creative in resolving problems that come up. Look forward to working with Eduard again." - Kurt B. ⭐️⭐️⭐️⭐️⭐️ "Thanks Edward, very good work, helped to find a way to make the project work by looking at it from another position… end result as required!" - Martin W. 🤍 Feel free to message me if you have any questions. I am looking forward to working with you together! Website Scraping, Browser Selenium Automation, Telegram Bots, Whatsapp Bots, Discord Bots, Facebook, Instagram, Reddit, Twitter / X, API, Web UI, Flask, FastAPI, Django, DRF, Webhooks, Python Scripts, Fix Bugs, Scraping Endpoints of API, Backend Calls, Desktop Apps, PyQT5, Tkinter, Integrating AI, Excel, CSV, JSON, Google Sheets API, Apify API, Automation of Emails, Pygame, Telegram Mini Apps, Scraping from YouTube, Scraping from TikTok, YouTube API, Docker, OpenAI API, WooCommerce API, Zillow, Hipcamp, Campspot, Selenium Driver, Web Analyzer, Backend, Automation, Google Cloud, Telegram Mini App, AI chatbot, integrating payment, React and FastAPI

I take on engineering that the obvious options failed at. Reverse engineering undocumented APIs, running private LLM infrastructure on your own hardware, rewriting legacy backends, and rebuilding Codex, Claude Code, Cursor, Manus, Lovable, Bolt, or v0 prototypes as production-grade systems. Reverse engineering and undocumented API work: I turn black-box systems into structured, documented APIs. Recent work includes reverse-engineering a Flutter mobile app's auth flow and endpoint mapping for a TechCrunch-featured platform with 2.5M+ users, HAR-driven recon of multi-stage e-commerce order-capture flows, and building my own queryable database toolchain for HTTP traffic analysis (HAR/SAZ indexing, token tracing across captures, AI-assisted endpoint discovery). LLM and Agent AI infrastructure: I run and deploy production AI agents on local hardware, VPS, and self-hosted multi-GPU inference. Stack: llama-swap per-node manager, cluster router with FIFO queue, WhisperX transcription with diarization and voice-fingerprint enrollment, OpenClaw, Claude Code, MCP servers, custom Python tooling, RAG pipelines, Ollama optimization. If you need private inference (legal, medical, financial, defense-adjacent) without sending tokens to Anthropic or OpenAI, I have the stack running. Legacy backend rewrites and migrations. Fixed-price after a paid Discovery Sprint, never exploratory. I read .NET, ASP.NET Identity, SQL Server, and write Python. Drop-in replacements preserving schema and session model, parity contract tests, zero-downtime cutover. Scope locked at Discovery Sprint end. I also do smart contract security audits (Code4rena and CodeHawks track record, 8/10 H/M findings on PuppyRaffle v2, 29 findings across 8 protocols in a single campaign week), low-level binary RE (PS2 C++ static recompilation, Halogen project), and anti-detection scraping at scale. I scope upfront, ship what was scoped, and build reliable, antifragile systems. Available when you need more.

I am a dedicated ML / AI Engineer with over 2 years of experience in Python, Flask, FastAPI, Django, and Generative AI, continuously learning and honing my skills to stay at the cutting edge of technology. As a freelancer, I am committed to delivering high-quality solutions for my clients, bringing a strong foundation in Python development and diverse technical skills to each project. Expertise: • Python Development: Extensive experience in building and deploying applications using Python. • Web Frameworks: Proficient in Flask and FastAPI for developing scalable and efficient web applications. • Deep Learning & Machine Learning Frameworks: Skilled in PyTorch, TensorFlow, and Scikit-Learn for creating and optimizing machine learning models. • Data Science & Visualization: Expertise in Pandas, NumPy, Matplotlib, and OpenCV for data manipulation, analysis, and visualization. • Deployment & DevOps: Hands-on experience with Docker and Anaconda for creating reproducible environments and deploying applications. • Vector Databases: Knowledgeable in Pinecone and ChromaDB for managing and querying high-dimensional data. • Feature Store Management Services: Efficient management of reusable feature sets for robust machine learning pipelines. AI / ML Specializations: • Machine Learning Algorithms: Proficient in SVM, KNN, Regression, Decision Trees, Random Forest, Ensemble methods, and Time Series Analysis. • Deep Learning Architectures: Experience with ANN, CNN, YOLO, LSTMs, RNNs, Transformers and Transfer Learning for various AI applications. • LLM API Integration: Skilled in integrating OpenAI, Gemini, and Claude models using their APIs for production applications, covering prompt engineering, response optimization, rate-limit handling, and performance monitoring. • Generative Models: Proficient in working with diffusion models, GANs, and transformer-based generative architectures for image synthesis, inpainting, and style transfer, with experience in LoRA fine-tuning for model adaptation. • NLP & LLMs: Understanding of NLP tools such as Spacy, NLTK, NER, word2Vec, and TF-IDF; experience with LLMs like Gemini, GPT, Open Source LLMs for advanced language processing tasks. • Text-to-Speech & Speech-to-Text Models: Proficient in developing and fine-tuning speech processing applications, with hands-on experience utilizing Synthflow AI's customizable voice agents and ElevenLabs' advanced multilingual text-to-speech and speech-to-text technologies. • Retrieval-Augmented Generation (RAG): Proficient in integrating retrieval systems with generative models for enhanced AI-driven solutions, including hands-on experience with Multimodal RAG techniques that combine text, images, and audio inputs to improve contextual understanding and response accuracy. Feel free to contact me anytime to discuss how I can contribute to your project. Let's create something great together!

Web scraping shouldn’t slow down your project. I build reliable systems that collect the data you need clean, structured, and ready to use. I’m a Python developer with 6+ years of experience, specializing in web scraping, automation, and data extraction systems. I help businesses, researchers, and AI teams collect large datasets from websites, directories, and online platforms. I have worked on many scraping projects both on and off Upwork, building scripts and crawlers that extract, clean, and structure data efficiently. What I Can Do For You 🔹 Build custom web scraping bots for any website 🔹 Extract large datasets for AI training, research, or analytics 🔹 Scrape dynamic JavaScript websites 🔹 Automate data collection workflows 🔹 Clean and structure scraped data into CSV, JSON, Excel, or databases 🔹 Maintain or fix existing scraping scripts 🔹 Build scheduled crawlers for continuous monitoring Typical Use Cases I Work On ✔ Lead generation & business directories ✔ Product and price monitoring ✔ Market research datasets ✔ AI training datasets ✔ News & content aggregation ✔ Research and academic data collection My Web Scraping Tech Stack 🐍 Python 🕷 Scrapy 🌐 Selenium 🍲 BeautifulSoup (bs4) ⚡ Requests / HTTPX Supporting tools & libraries: Pandas • NumPy • Streamlit • OpenCV • Matplotlib • Flask • SQLite I can deliver scraped data in CSV, Excel, JSON, API endpoints, or databases depending on your workflow. Selected Projects • Google Maps Banking Data Scraper & Lead Dataset (18K+ Records) • Amazon Review Scraper (1000+ Reviews, Anti-Bot & Login Handling) • Large-Scale Image Dataset Scraper from baidu (480K+ Images, 4800 Keywords) • Kalodata Product Scraper & Image Dataset (100+ Products Daily & Login Handling) • App Store Review Intelligence Scraper (40K+ Reviews) • Multiple web scraping and automation projects My Work Process 1️⃣ Requirement discussion 2️⃣ Research & feasibility check 3️⃣ Prototype or scraping test 4️⃣ Development of the scraper or automation system 5️⃣ Data validation and improvements 6️⃣ Final delivery with documentation Why Clients Work With Me ✔ 6+ years of Python development experience ✔ Reliable and maintainable scraping scripts ✔ Clean, structured, and usable data ✔ Strong communication and on-time delivery ✔ Always improving and learning new tools If you need data from the web quickly and reliably, I can help you build the right scraping solution. Let’s discuss your project.

I am an AI/ML Specialist who lives by the motto "Stop chasing the hype. Build something users trust." I build AI-powered chatbots, platforms, automation systems, and real-time applications that combine strong backend engineering with practical AI implementation solutions that actually survive production traffic, unpredictable users, API failures, scaling pressure, and long-context conversations, not just “wrapper around GPT” products. My work typically involves architecting and scaling systems powered by OpenAI, Claude, LangChain, RAG pipelines, vector databases, real-time communication infrastructure, and custom backend services. I have worked across IoT, BLE, Healthcare, Education, AI Chatbot platforms, Fitness, Ride-hailing, Food Delivery, FinTech, Dating, Matrimonial, eCommerce, Gaming, and other high-scale, engagement-heavy systems. In terms of collaboration, expect: No ghosting. No guesswork. Just proactive, hyper-structured updates, technical clarity, transparent timelines, and deep collaboration from architecture reviews to sprint execution. That said, drop your product idea, biggest bottleneck, or enhancements you are seeking/ failures in the existing system in my inbox, and I’ll send back a practical, execution-focused technical roadmap designed to move your project/platform forward in the most efficient and scalable way possible. Cheers, Ankit --------------------------------------- Core stack: • Python, Django, Flask, FastAPI • Node.js & Express.js • OpenAI GPT-4 & Claude integrations • LangChain & RAG frameworks • Prompt engineering & AI workflow orchestration • Pinecone, Weaviate & vector search systems • Twilio (SMS, Voice, Video) • WebRTC, Socket-based real-time systems • Firebase Realtime Database • PostgreSQL, MongoDB & Redis • Celery, RabbitMQ & background processing systems • AWS (Lambda, EC2, S3), Google Cloud & Docker I have worked on AI systems and scalable platforms across: • IoT & BLE ecosystems • Healthcare & telehealth platforms • Education & learning systems • AI chatbots & AI assistants • Fitness & wellness applications • Ride-hailing & logistics systems • Food delivery platforms • FinTech products • Dating & matrimonial platforms • eCommerce ecosystems • Gaming & engagement-heavy platforms • Customer support automation • Real-time messaging & communication systems • AI-powered SaaS products • Workflow automation tools • Document processing & RAG-based knowledge systems

I build Python backends and the AI features that run on them. Most of the AI work I get pulled in to fix has the same story: it was built as a demo, and it broke the first time it met production traffic, live data, or a real bill. I work the other way around — backend first, then the AI wired in properly. Backend and APIs This is the core of what I do. REST APIs in Django and FastAPI, built to handle production traffic rather than just pass a quick test. Auth with JWT and OAuth, payments through Stripe and Razorpay, PostgreSQL and MongoDB schema design and indexing, and background jobs on Celery and Redis. With third-party integrations, I handle the part most people skip: what the system does when the external service is slow, down, or returning errors. GenAI integration On the deeper end, I build agentic systems in LangChain and LangGraph: custom tools, multiple agents working together, and proper memory and context handling across a workflow, with tool calls connected to the actual backend. On the everyday end, that's chatbots, content generation, automation, and retrieval over a client's own data (RAG) where it fits. I work across OpenAI, Claude, and Gemini, and I trace LLM calls and track token spend, because in production the cost matters as much as the output. What I care about is that the AI sits on a solid system — auth, a database, error handling, retries — so it behaves like a feature, not a science project. Deployment I deploy what I build. Docker, AWS or DigitalOcean, so the work goes out live and running, not handed over as a folder of code someone else has to figure out. How I work I ask questions before I write anything, because the wrong assumption early gets expensive later. I deal with edge cases instead of hoping they won't show up. I keep the code clean enough for the next person to read, I reply quickly, and I hit the dates I commit to. Industries I've worked in: e-commerce, SaaS, education, logistics, and internal tools. If you need a backend you can rely on — a new build, a broken system that needs sorting, or AI features that have to hold up in production — send me the details and I'll tell you how I'd approach it.