Hire the Best Git Developers
Tangier, Morocco
Hello! I'm a Senior Software Engineer with 6+ years of experience building scalable and maintainable systems. I specialize in Back-End development, focusing on FastAPI, PostgreSQL, and microservice architecture with event-driven and asynchronous design patterns. Frameworks & Technologies: - Back-End: FastAPI, Flask, Django, NodeJS, ExpressJS - Front-End: ReactJS, VueJS - Databases: PostgreSQL, MongoDB, Redis - Tools: Docker, Linux, Git (GitHub/GitLab) Services I Offer: - Back-End Development - Deployment & Hosting (VPS, CI/CD) - Consulting & Mentoring Looking forward to working with you!
- Git
- Python
- React
- MySQL
- Flask
- Docker
- RESTful API
- DevOps
- Linux
- FastAPI
- SQLAlchemy
- Redis
- PostgreSQL
- MongoDB
- API
Lahore, Pakistan
🌐🚀 MVP / SAAS Specialist Expertise in | AI Developer | RAG | LLM | AI Integration | Python | OpenAI API Integration | Artificial intelligence | Machine Learning | Langchain | Django React JavaScript | FastAPI | AI agent | AI App Development | AI bot | AI chatbot | AI Agent | Restful API | PostgresSQL | Botpress | PostHog | MCP Server | Multi-Agents/Multiple Agents | Voice AI 🔑 𝐈 𝐛𝐮𝐢𝐥𝐝 𝐚𝐧𝐝 𝐝𝐞𝐩𝐥𝐨𝐲 𝐜𝐮𝐬𝐭𝐨𝐦 𝐰𝐞𝐛 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬, AI-Powered MVP, AI Healthcare Tools, AI Writing Tool, GPT Clone, Full Stack Application, Multi-Tenant 𝐚𝐧𝐝 𝐢𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐭𝐡𝐚𝐭 𝐬𝐨𝐥𝐯𝐞 𝐜𝐨𝐦𝐩𝐥𝐞𝐱 𝐩𝐫𝐨𝐛𝐥𝐞𝐦𝐬, 𝐜𝐫𝐞𝐚𝐭𝐞 𝐧𝐞𝐰 𝐯𝐚𝐥𝐮𝐞, 𝐚𝐧𝐝 𝐢𝐦𝐩𝐫𝐨𝐯𝐞 𝐮𝐬𝐞𝐫 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞𝐬. 🎁 A 100% refund, if I'm unable to meet our agreed commitments. No questions asked! 𝐊𝐞𝐲 𝐅𝐚𝐜𝐭𝐬: 🧑💻 8+ years of experience as a Full Stack Developer and Artificial Intelligence Specialist 🚀 50+ market-winning projects launched ⌛ Around 600 hours on Upwork 🎯 Top-Rated on Upwork 🌉𝐈'𝐯𝐞 𝐬𝐨𝐥𝐯𝐞𝐝 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐩𝐫𝐨𝐛𝐥𝐞𝐦𝐬 𝐟𝐨𝐫 𝐭𝐨𝐩 𝐜𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬 𝐚𝐧𝐝 𝐬𝐭𝐚𝐫𝐭𝐮𝐩𝐬 𝐚𝐫𝐨𝐮𝐧𝐝 𝐭𝐡𝐞 𝐠𝐥𝐨𝐛𝐞 ☑️ Under Armour ☑️ Snowflake ☑️ Estateza ☑️ SearchLook ☑️ Sparrowcharts 💡 𝐖𝐡𝐚𝐭 𝐜𝐚𝐧 𝐈 𝐛𝐫𝐢𝐧𝐠 𝐭𝐨 𝐲𝐨𝐮𝐫 𝐭𝐚𝐛𝐥𝐞? ☑️ Full Stack Development for robust and scalable web applications, including both front-end and back-end technologies ☑️ Custom Web and Application Development utilizing frameworks like Python, React, Django, React.js / Angular / Next.js / Nest / Nust / Golang and Node.js ☑️ Expertise in LLMs and ChatGPT integration to enhance application functionalities ☑️ Proficiency in RESTful APIs, GraphQL, and database management ☑️ Experience with cloud services like AWS, Azure, and Google Cloud for deployment and scaling ☑️ Strong problem-solving skills and ability to optimize user experiences and application performance 🌟𝐇𝐞𝐫𝐞'𝐬 𝐰𝐡𝐚𝐭 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 𝐡𝐚𝐯𝐞 𝐭𝐨 𝐬𝐚𝐲 𝐚𝐛𝐨𝐮𝐭 𝐦𝐞: 🌟 Ali Hamza is in the top tier of software developers and data engineers. He is far more than an implementer; he is a strong architect. During this project set, Usama worked on data from major US corporations 🌟 One of the best developers I have ever worked with. He is always on time and does exactly what he says he will do. I could not recommend him enough. 🎯 𝐈 𝐩𝐨𝐬𝐬𝐞𝐬 𝐞𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 𝐢𝐧 𝐭𝐡𝐞 𝐟𝐨𝐥𝐥𝐨𝐰𝐢𝐧𝐠 𝐝𝐨𝐦𝐚𝐢𝐧𝐬 ☑️ Full Stack Development: ☑️ Backend: ☑️ Python ☑️ Django ☑️ Flask ☑️ NodeJs, Express.js ☑️ Rest API, SOAP ☑️ Websocket ☑️ Third party integration ☑️ Frontend: ☑️ Html5, Css3, Bootstrap ☑️ Javascript ☑️ ReactJs, Angular ☑️ VueJs ☑️ NextJs, NuxtJs ☑️ Ajax, JSON, XML, XHTML, SVG, Canvas ☑️ API integration, OpenAI API ☑️ DevOps: ☑️ CI/CD Pipelines ☑️ IaC ☑️ Docker ☑️ Kubernetes / Terraform ☑️ Elasticsearch ☑️ Cloud Computing (Azure, AWS, Google Cloud) ☑️ Version Control (Git, GitHub) ☑️ Containerization + Orchestration (Docker, Kubernetes) ☑️ Spring Boot / Java, Microservices Architecture ☑️ Real-time / Streaming / Event-driven architectures ☑️ Session Recordings / Session Replays ☑️ GraphQL / gRPC ☑️ Kafka / Redpanda (real-time streaming) ☑️ Generative Artificial Intelligence (GenAI) ☑️ Large Language Models (LLMs) ☑️ Natural Language Processing (NLP) ☑️ ChatBots and Virtual Assistants ☑️ Text to Image Modelling ☑️ Vector Databases ☑️ Retrieval-Augmented Generation (RAG) ☑️ ChatGPT ☑️ OpenAI ☑️ AI/ML (Artificial Intelligence + Machine Learning) ☑️ Multimodal AI / NLP ☑️ Agentic AI / Autonomous Agents ☑️ “Vibe Coding” / AI-first / prompt-driven dev workflows ☑️ Explainable AI / Ethical, Sustainable AI ☑️ Edge AI / On-device / Federated Learning ☑️ Web Scraping ☑️ Data Extraction ☑️ Data Scraping ☑️ Scrapy ☑️ Selenium ☑️ Beautiful Soup ☑️ Requests ☑️ Deployment and scheduling the scraping scripts on server ☑️ PostHog / Mixpanel / Amplitude / Segment (Twilio Segment) ☑️ OpenTelemetry (Datadog / Grafana / Sentry ☑️ LaunchDarkly / GrowthBook / VWO / Optimizely / Klaviyo ☑️ Airbyte / Fivetran / DBT ☑️ Auth0 / Clerk / SuperTokens / Google Auth ☑️ Stripe / Paddle ☑️ Plaid AI + Analytics Integrations ☑️ LangSmith / LangFuse – Observability and evaluation layer for LLM apps. ☑️ Weaviate / Pinecone / Qdrant – Vector DBs for AI features with analytics hooks. ☑️ Whylabs / Arize AI – ML observability & monitoring (similar to PostHog but for models). I am a Fullstack AI Developer - Python Django, React, Flask, API Integration I can help you to build: ⚡ Fast MVP Development (AI-Powered) ✅ ⚡ AI Powered SAAS Applications ✅ ⚡ AI Agent RAG Systems | AI Chatbots ✅ ⚡ Open AI API Integrations / LLM ✅ ⚡ Full stack Development (AI/ML, Django, React) ✅ ⚡ AI Workflows Automation ⚡ Voice AI tools Thank you for visiting my profile. Looking forward to working with you! I will 💲REFUND 💲, if your expectation wont meet. For reference, you can see my work and testimonials below. Lets Chat!
- Artificial Intelligence
- Machine Learning
- AI Agent Development
- OpenAI API
- AI Development
- Django
- Python
- Retrieval Augmented Generation
- API Integration
- JavaScript
- React
- PostgreSQL
- Large Language Model
- Chatbot Development
- LangChain
- API
- LLM Prompt Engineering
- Web Application
- AI App Development
- FastAPI
Lahore, Pakistan
Python Developer specializing in FastAPI, Django, Flask & AI/ML solutions ⭐ Top Rated Plus – Ranked in the Top 1% of Lead Python developers on Upwork ✅ 14+ Years of Senior Python Excellence | 13,000+ Hours Delivered I personally handle all development and client communication, ensuring high-quality, scalable, and secure applications without outsourcing. From MVPs to enterprise SaaS platforms, I transform complex requirements into production-ready systems. I’ve been working with Django (since v0.3), Python (v2.3+), FastAPI, Flask, and React. I specialize in building intelligent systems with AI/ML, NLP, and LLMs. Since 2019, I’ve been leading cross-functional teams globally, while also working individually with clients to deliver clean, scalable solutions. Most of my work has been on production systems already serving real users, where I acted as the technical owner, not just an implementer. 𝗔𝗰𝗵𝗶𝗲𝘃𝗲𝗺𝗲𝗻𝘁𝘀: Contributed to Open edx: Enhanced the global open-source learning platform with Python/Django. KredX Financial Platform: Built APIs & real-time analytics with FastAPI for high-volume transactions. The Entertainer (Python + React): Delivered large-scale consumer app supporting millions of users. Moeving Mobility Platform: Designed scalable Python microservices for real-time fleet management. MTailor: Automated ML pipelines for computer vision body measurements. Surmount.AI: Built AI-powered legal assistant using Django + FastAPI + LLMs. Deflection.AI: Customer support system with Python APIs + vector similarity + NLP. I help startups and enterprises turn ideas into production-ready software. From rapid MVPs to AI-powered platforms, I combine deep technical expertise with hands-on leadership, guiding global cross-functional teams to deliver results on time and at scale. I am a CTO-level Senior Python Developer to lead the technical direction and hands-on development of a scalable, cloud-native platform built on Python and AWS 𝗖𝗼𝗿𝗲 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲: Backend & APIs: Python (FastAPI, Django, Flask), REST, GraphQL, async programming, microservices Databases: PostgreSQL, MySQL, MongoDB, Redis (optimized schemas, queries, and data modeling) AI/ML & Data: LLMs (OpenAI GPT, Whisper), NLP pipelines, TensorFlow, PyTorch, Pandas, NumPy Cloud & DevOps: AWS (Lambda, ECS, RDS, S3), GCP, Azure, Docker, Kubernetes, CI/CD automation Full Stack Collaboration: React, Next.js, Vue.js with secure, Python-driven backends 𝗪𝗵𝗮𝘁 𝗜 𝗗𝗲𝗹𝗶𝘃𝗲𝗿: ✔️ Scalable REST/GraphQL APIs & microservices ✔️ Data pipelines & AI/ML-powered systems ✔️ Cloud-native architectures (AWS/GCP/Azure) ✔️ Secure, tested, and future-proof code (CI/CD) ✔️ MVP-to-enterprise scaling with clear communication 𝗞𝗲𝘆𝘄𝗼𝗿𝗱𝘀: Python Developer | Django Expert | FastAPI Developer | Flask Developer | Backend Engineer | API Development | AI/ML Engineer | Chatbot Developer | NLP Specialist | React Developer | SaaS Architecture | Cloud & DevOps | Docker | AWS | Data Pipelines | LLMs | TensorFlow | PyTorch | Web Scraping
- Git
- Django
- Flask
- Python
- Python Script
- RESTful API
- FastAPI
- React
- JavaScript
- Amazon Web Services
- Web Development
- AI Development
- Machine Learning
- PostgreSQL
- Websockets
- CI/CD
- Data Scraping
- AI App Development
- Automation
- API
Lviv, Ukraine
Hi, Everyone! I'm ✅ Top-rated professional with over 7 years of commercial experience. ✅ One of the best Three.js developers on Upwork with 100% job success rate! ✅ React frontend developer with a strong knowledge and experience in 3D web applications. Looking to bring your 3D vision to life? Let’s chat and make it happen! What I Can Do for You 1. Develop robust product or data management platforms. 2. Create advanced data annotation tools for 3D assets. 3. Design and implement versatile 3D configurators and editors. 4. Develop custom 3D tools, interactive landing pages with immersive experience. 5. Work with various data formats (e.g., FBX, GLTF, OBJ) and integrate them smoothly into your projects. Implement “View in AR” functionality. 6. Create complex animations and visual effects. 7. Develop mini games. Incorporate physics into your application using engines like cannon-es. 8. Help you to visualize large point cloud datasets on the web 9. Perform various frontend development tasks, including layout and design using REACT, HTML, CSS, and JavaScript. 10. Optimize code for improved performance and scalability. Debug and resolve complex code issues efficiently. Tech stack: Frontend Development: Three.js, React, R3F, Redux, Potree, Chart.js, JavaScript, GLSL, HTML5, CSS3, SASS. Backend Development: Node.js, Express, AWS, puppeteer. Tools and Software: Visual Studio Code, GitHub, GitLab.
- Git
- JavaScript
- HTML
- Node.js
- React
- CSS
- Redux
- Web Development
- Chart.js
- Fabric.js
- GSAP
- Puppeteer
- WebGL
- Three.js
- AR & VR
- Vercel
- 3D Animation
Noida, India
𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 & 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 | 8+ 𝗬𝗲𝗮𝗿𝘀 | 𝟭% 𝗼𝗳 𝗨𝗽𝘄𝗼𝗿𝗸 | 𝟭𝟬𝟬% 𝗝𝗼𝗯 𝗦𝘂𝗰𝗰𝗲𝘀𝘀. ✅ $300K+ Total earnings ✅8+ Years experience as Fullstack Developer ✅ 80+ Projects Completed. ✅Top Rated Plus. ✅ 100% Job Success Rate. ✅ AWS certified ✅ Python certified ✅50hrs/week available ✅ 4+ AI/ML Integrations 🔴 I am in the 𝗧𝗼𝗽 𝟭% overall on Upwork. 🔴 I am in the 𝗧𝗼𝗽 𝟰% overall on Stack Overflow. 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭 / 𝐕𝐨𝐢𝐜𝐞 𝐀𝐠𝐞𝐧𝐭𝐬: 𝐂𝐫𝐞𝐰𝐀𝐈 / 𝐀𝐮𝐭𝐨𝐆𝐞𝐧 / 𝐀𝐦𝐚𝐳𝐨𝐧 𝐏𝐨𝐥𝐥𝐲 / 𝐃𝐞𝐞𝐩𝐠𝐫𝐚𝐦 / 𝐑𝐚𝐬𝐚 𝐀𝐈 / 𝐑𝐢𝐯𝐞𝐫𝐬𝐢𝐝𝐞 𝐒𝐃𝐊 / 𝐀𝐳𝐮𝐫𝐞 𝐀𝐈 𝐒𝐩𝐞𝐞𝐜𝐡/𝐋𝐋𝐌 𝐅𝐢𝐧𝐞𝐭𝐮𝐧𝐢𝐧𝐠: 𝐔𝐬𝐢𝐧𝐠 𝐏𝐄𝐅𝐓 / 𝐋𝐨𝐑𝐀 / 𝐐𝐋𝐨𝐑𝐀 / 𝐑𝐋𝐇𝐅 / 𝐃𝐏𝐎 / 𝐒𝐅𝐓 𝐰𝐢𝐭𝐡 𝐔𝐧𝐬𝐥𝐨𝐭𝐡 / 𝐀𝐱𝐨𝐥𝐨𝐭𝐥 / 𝐇𝐮𝐠𝐠𝐢𝐧𝐠𝐅𝐚𝐜𝐞 𝐀𝐮𝐭𝐨𝐓𝐫𝐚𝐢𝐧 / 𝐒𝐚𝐠𝐞𝐌𝐚𝐤𝐞𝐫 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠/𝐎𝐩𝐞𝐧-𝐒𝐨𝐮𝐫𝐜𝐞 𝐋𝐋𝐌𝐬: 𝐋𝐋𝐀𝐌𝐀 𝟑 / 𝐌𝐢𝐬𝐭𝐫𝐚𝐥 𝟕𝐁 / 𝐌𝐢𝐱𝐭𝐫𝐚𝐥 𝟖𝐱𝟕𝐁 / 𝐅𝐚𝐥𝐜𝐨𝐧 / 𝐆𝐞𝐦𝐦𝐚 / 𝐁𝐥𝐨𝐨𝐦 / 𝐎𝐫𝐜𝐚 𝐌𝐢𝐧𝐢 / 𝐆𝐮𝐚𝐧𝐚𝐜𝐨/𝐅𝐚𝐬𝐭 𝐈𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞: 𝐯𝐋𝐋𝐌 / 𝐓𝐆𝐈 / 𝐓𝐞𝐧𝐬𝐨𝐫𝐑𝐓-𝐋𝐋𝐌 / 𝐒𝐊𝐏𝐢𝐥𝐨𝐭/𝐏𝐫𝐨𝐦𝐩𝐭 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: 𝐌𝐮𝐥𝐭𝐢-𝐭𝐮𝐫𝐧 / 𝐅𝐞𝐰-𝐬𝐡𝐨𝐭 / 𝐙𝐞𝐫𝐨-𝐬𝐡𝐨𝐭 / 𝐑𝐀𝐆-𝐁𝐚𝐬𝐞𝐝 / 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐚𝐛𝐥𝐞 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬/𝐐𝐮𝐚𝐧𝐭𝐢𝐳𝐚𝐭𝐢𝐨𝐧: 𝐀𝐖𝐐 / 𝐆𝐏𝐓𝐐 / 𝐆𝐆𝐔𝐅 / 𝐆𝐆𝐌𝐋 / 𝐐𝐋𝐎𝐑𝐀 / 𝐏𝐓𝐐 / 𝐃𝐐/𝐑𝐀𝐆 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 & 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬: 𝐋𝐚𝐧𝐠𝐂𝐡𝐚𝐢𝐧 / 𝐋𝐥𝐚𝐦𝐚𝐈𝐧𝐝𝐞𝐱 / 𝐂𝐡𝐫𝐨𝐦𝐚 / 𝐅𝐀𝐈𝐒𝐒 / 𝐏𝐢𝐧𝐞𝐜𝐨𝐧𝐞 / 𝐐𝐝𝐫𝐚𝐧𝐭 / 𝐖𝐞𝐚𝐯𝐢𝐚𝐭𝐞 / 𝐌𝐢𝐥𝐯𝐮𝐬 Greetings! I am Atul Kumar, a seasoned developer with over 8+ years of experience in web application and software development. Working with LLMs for the past 8+ years and have good expertise in AI Agents development using langchain, LlamaIndex, and LLMs like Claude, GPT4o, Amazon Bedrock, Ollama 🔹 AI Agents / Voice Agents: CrewAI, AutoGen, Amazon Polly, Deepgram, Rasa AI 🔹 LLM Fine-tuning: PEFT, LoRA, QLoRA, RLHF, DPO with Unsloth, Axolotl, HuggingFace AutoTrain 🔹 Open-Source LLMs: LLaMA 3, Mistral 7B, Mixtral 8×7B, Falcon, Gemma 🔹 Inference Optimization: vLLM, TGI, TensorRT-LLM 🔹 Prompt Engineering: Multi-turn, Few-shot, Zero-shot, RAG-based prompts 🔹 Quantization: AWQ, GPTQ, GGUF, GGML 🔹 RAG Systems: LangChain, LlamaIndex, ChromaDB, FAISS, Pinecone, Qdrant 🔹 Data Pipeline: Synthetic dataset generation, LLM evaluation frameworks 🔹 LLM Deployment: AWS Sagemaker, RunPod, GCP AI Platform, Vercel AI SDK 🖥️ 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗦𝗸𝗶𝗹𝗹𝘀: 🔹 Proficient in Node.js, Express.js, Python, Django, Flask, AWS Lambda for backend API. 🔹 Experienced with relational & NoSQL databases: MySQL, PostgreSQL, MongoDB, Firebase, Firestore. 🔹 Skilled in Python FastAPI, REST API, GraphQL API development, and database schema design. 🔹 Knowledgeable in Redis, Docker, Kubernetes, AWS EC2, S3, Nginx for scalable infrastructure. 🔹 Experienced with Nest.js for enterprise-grade server-side applications. 🔹 LangChain, LangServe, LangSmith, HuggingFace, Transformers for AI/LLM integrations. 🔹 Vector Databases: Chroma, FAISS, Pinecone, Qdrant for RAG pipelines. 🔹 Low-code AI tools: Flowise AI, LangFlow, StackAI for rapid prototyping. 🔹 Familiar with Celery task queues, testing frameworks (Pytest, Unittest), and automation tools like Selenium. 🌐 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱 𝗦𝗸𝗶𝗹𝗹𝘀: 🔹 Proficient in TypeScript, Redux Toolkit, Tailwind CSS with Next.js for high-performance frontends. 🔹 Skilled in building Progressive Web Apps (PWA) and Single Page Applications (SPA). 🔹 Expert in Vue.js, Nuxt.js, React.js, Next.js, HTML5, CSS3, React Native for responsive and cross-platform UIs. 🛠️ 𝗧𝗼𝗼𝗹𝘀 & 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀: 🔹 Skilled in Python ML libraries: Scikit-learn, Numpy, Pandas, Matplotlib, Seaborn. 🔹 Familiar with OpenAI APIs, Whisper, GPT models, ChatGPT integration, and AI chatbot deployment. 🔹 Experienced with AWS (Lambda, S3, EC2, Sagemaker), Git/GitHub, and Linux environments (Ubuntu, CentOS). 🌟 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗔𝗜 & 𝗟𝗟𝗠 𝗦𝗸𝗶𝗹𝗹𝘀: 🔹 AI Agents / Voice Assistants: CrewAI, AutoGen, Amazon Polly, Deepgram, Rasa AI. 🔹 Open-Source LLMs: LLaMA 3, Mistral 7B, Mixtral 8×7B, Falcon, Gemma. 🔹 Inference Optimization: vLLM, TGI, TensorRT-LLM for high-speed deployments. 🔹 Prompt Engineering: Multi-turn, Few-shot, Zero-shot, RAG-based prompts. 🔹 Quantization: AWQ, GPTQ, GGUF, GGML for efficient LLM deployment. 🔹 LLM Fine-tuning: PEFT, LoRA, QLoRA, RLHF, DPO with Unsloth, Axolotl, H My expertise spans both frontend and backend technologies, as well as a variety of tools and additional skills that enable me to deliver comprehensive solutions. I am dedicated to providing high-quality, efficient solutions that cater to the unique needs of each project. My diverse skill set allows me to approach challenges from multiple angles, ensuring robust and innovative solutions. Warm regards, Atul Kumar
- AI Bot
- AI Chatbot
- AI Development
- AI Text-to-Speech
- AI Text-to-Image
- AI Speech-to-Text
- AI App Development
- AI Agent Development
- AI Mobile App Development
- AI Image Generation
- AI Implementation
- AI Platform
- AI Model Integration
- AI Security
- AI Trading
Sumedang, Indonesia
Are you seeking a high-agency, senior software architect to bridge traditional enterprise backends, high-throughput IoT telemetries, and cutting-edge AI-driven agent workflows? With over 20 years of software engineering experience and dual credentials as a Google Cloud Professional Cloud Architect and Professional Data Engineer, I design, build, and orchestrate robust, production-ready systems that are resilient, automated, and highly secure. From developing custom Model Context Protocol (MCP) servers to deploying isolated, ephemeral Docker sandboxes on Azure, I help mid-market to enterprise companies automate manual workflows, slash cloud costs, and build custom AI-powered applications that drive massive business value. 🌟 CORE COMPETENCIES & SERVICES 1. Autonomous AI Agents & Custom MCP Integrations • Bespoke MCP Servers: Built Node.js MCP servers enabling LLMs to run natural-language queries and secure updates directly over clinical databases. • AI Agent Sandboxing: Launched Azure platforms orchestrating isolated, ephemeral Docker sandboxes running Claude Code and Cline to process tasks via MS Teams. • Long-Term Memory: Bridged sandboxes to Segnog memory (FalkorDB graph and local Gemma embeddings) via SSE proxies, reducing latency to under 0.3 seconds. 2. Multi-Cloud Architecture, DevOps & IaC • Multi-Cloud: Deep expertise in AWS, GCP, and Azure, optimizing resources and enforcing compliance. • IaC: 100% automated provisioning and drift management using Terraform and AWS CDK for reproducible environments. • Container & CI/CD: Deployments using Kubernetes (GKE), Istio, and pipelines (GitHub Actions, CircleCI, GitLab, Bitbucket). 3. High-Throughput Backends & IoT Telemetry • IoT Backend Scale: Engineered medical IoT backends processing 1,000+ sensor records per second into AWS Timestream with real-time analytics. • Microservices Design: Building robust, highly concurrent microservices in Golang and Python (Django, FastAPI), communicating via Kafka, RabbitMQ, or NATS. • Databases & Search: Advanced query optimization and spatial architecture using PostgreSQL (with PostGIS), Cloud SQL, ElasticSearch, and Firestore. 💼 FEATURED CLIENT SUCCESS STORIES 🚀 Serverless Medical SaaS & Teams-Integrated AI Agents • Architected serverless diagnostics billing, clinical faxing, and agreement SaaS. Built TypeScript MCP servers for secure clinical queries and NanoClaw/OpenClaw AI agent sandboxes on Azure running Claude Code to process complex coding tasks. 🚀 Django Backend & Spatial Infrastructure • Engineered a Django backend deployed on GCP Cloud Run. Implemented robust credential mounting using Google Cloud Secret Manager. Developed a custom Gmail OAuth2 authentication system for verified enterprise delivery, and built a high-availability infrastructure utilizing PostGIS, Cloud Tasks, and Cloud Scheduler. 🚀 GKE Microservices for Enterprise Loyalty • Developed scalable microservices for a high-volume loyalty system using Golang and Python, deployed on GKE (Google Kubernetes Engine) with CI/CD fully automated via Bitbucket Pipelines. 🛠️ MY TECHNICAL TOOLBOX • Languages: Golang, Python, TypeScript, JavaScript, Java, C++, C#, Swift, SQL • Clouds: AWS (EC2, Lambda, Timestream), GCP (Cloud Run, GKE, GCE), Azure, Cloudflare • DevOps: Terraform, AWS CDK, Docker, Kubernetes (GKE), GitHub Actions, CircleCI, GitLab, Bitbucket Pipelines, Jenkins • Databases & Queues: PostgreSQL (PostGIS), AWS Timestream, FalkorDB, ElasticSearch, SQLite, Cloud SQL, Firestore, Kafka, NATS, Pub/Sub • AI & LLMs: Model Context Protocol (MCP), Claude Code, OpenAI and Gemini APIs, local LLMs (Llama 2, Mistral), PyTorch • Frameworks: Django, Spring Boot, React, Next.js, Stripe, ExpressJS, NestJS, GraphQL, Web Speech API 🏆 EDUCATION & ACTIVE CERTIFICATIONS • Google Cloud Professional Cloud Architect (Active) • Google Cloud Professional Data Engineer (Active) • Proctored Upwork Skill Certification in Python Development (Top Tier) • M.S. in Electronic Engineering (Game Technology) – Institut Teknologi Bandung (ITB) • B.E. in Informatics Engineering (Distributed Systems) – Institut Teknologi Bandung (ITB) • HackerRank Certified SQL Advanced • Oracle Certified Associate (Java SE 5/SE 6) 🤝 WHY COLLABORATE WITH ME? • High-Agency: I take full ownership of your architecture, security, and cloud cost optimization. • AI Native: Proven experience building real-world MCP servers and secure, containerized AI agent sandboxes. • Security First: Leveraging Secret Managers, secure VPNs, and strict IAM to safeguard user and enterprise data. • Clean Code: Domain-driven design with robust test coverage (90%+ target). Let's discuss how we can scale your infrastructure, reduce your cloud spend, or build your next custom AI workflow. Click "Invite" or "Send Message" to schedule a brief discovery call.
- Git
- Google Cloud Platform
- Python
- Kubernetes
- Terraform
- Microservice
- DevOps
- CI/CD
- Django
- CircleCI
- GraphQL
- Elasticsearch
- Golang
- LangChain
- Hugging Face
- Docker
- Amazon ECS for Kubernetes
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How to Hire Top Git Developers
How to hire top Git developers
Whether you’re building an app for mobile, web, or desktop, you’re going to need a way to keep track of software changes, revisions, and deployments. This is especially important if you have more than one developer working on a project, such as a full stack developer or a web developer. A Git developer can help you implement a distributed revision control (DRC) system for your project, ensuring that your development team works efficiently and collaboratively.
Git developers are often part of a larger development team, which may include software engineers, web developers, and remote developers. Their expertise in managing code repositories is essential for maintaining an organized workflow.
So how do you hire Git developers? What follows are some tips for finding top Git consultants on Upwork.
How to shortlist Git professionals
As you’re browsing available Git consultants, it can be helpful to develop a shortlist of the professionals you may want to interview. You can screen profiles on criteria such as:
- Git repository services. You want a developer who’s familiar with your preferred Git repository hosting service (e.g., GitHub, GitLab, Bitbucket). GitHub developers with experience in programming languages relevant to your project will be an asset.
- Project experience. Screen candidate profiles for specific skills and experience (e.g., software development, AWS, and version control with Azure DevOps). Experience with Docker, Linux, Node.js, Ruby on Rails, and SQL can also be crucial depending on your project's needs.
- Feedback. Check reviews from past clients for glowing testimonials or red flags that can tell you what it’s like to work with a particular Git developer. Look for comments on their communication skills and ability to deliver high-quality results.
How to write an effective Git job post
With a clear picture of your ideal Git developer in mind, it’s time to write that job post. Although you don’t need a full job description as you would when hiring an employee, aim to provide enough detail for a contractor to know if they’re the right fit for the project.
Job post title
Create a simple title that describes exactly what you’re looking for. The idea is to target the keywords that your ideal candidate is likely to type into a job search bar to find your project. Here are some sample Git job post titles:
- Need someone to manage the Git repository for our analytics app
- Need help setting up a Git server on Windows with git-http-backend.exe
- Seeking a back-end developer experienced with Atlassian and Bitbucket
Git project description
An effective Git job post should include:
- Scope of work. From setting up Git to hosting your own repository on cPanel, list all the deliverables you’ll need.
- Project length. Your job post should indicate whether this is a smaller or larger project, such as creating a REST API or managing an entire repository.
- Background. If you prefer experience with certain technologies, programming languages, software, or developer tools, mention this here. For instance, experience with GraphQL or machine learning could be relevant depending on your project's needs.
- Budget. Set a budget and note your preference for hourly rates vs. fixed-price contracts.
Git responsibilities
Here are some examples of Git job responsibilities:
- Work with a development team to build user-facing features
- Handle code documentation and manage repository on GitHub
- Troubleshoot bugs and technical issues for the team, especially in startups that require agility
Git requirements and qualifications
Be sure to include any requirements and qualifications you’re looking for in Git developers. Here are some examples:
- Git and your preferred DRC platform (e.g., GitLab, Bitbucket, Azure DevOps)
- Desired technical expertise (e.g., front-end development, back-end development, full stack development)
- Experience designing continuous integration and deployment (CI/CD) pipelines using tools like AWS
Git Developers FAQ
Frequently asked questions
What is Git?
Git is an open-source distributed version control system for tracking and managing revisions of computer files. Git takes a distributed approach to version control, allowing multiple developers to branch projects off a master repository so that they can make changes on their local machines. When developers are ready to push those changes to production, they can commit them to a staging area where they’ll be able to merge them with the master branch. Git is the most popular method of tracking changes in source code during software development, particularly among programmers and web developers.
How much does it cost to hire a Git developer?
The first step to determining the cost to hire a Git developer will be to define your needs. Rates can vary due to many factors, including expertise, years of experience, location, and market conditions.
Cost factor #1: project scope
The first variable to consider when determining scope is the nature of the work that needs to be completed. Not all Git projects are created equally. Hosting a small git repository on cPanel will typically take less time than managing the Bitbucket repository for a large enterprise app.
Tip: The more accurately your job description describes the scope of your project, the easier it will be for talent to give you accurate cost estimates and proposals.
Cost factor #2: Git developer experience
Choosing the right level of expertise for the job is closely tied to how well you determined the scope of your project. You wouldn’t need an advanced Git developer for a simple single-page application (SPA). On the other hand, creating and maintaining your own social media platform will require a skilled developer to effectively manage your remote repository, particularly if GraphQL or machine learning are part of the tech stack.
Beyond years of experience, you need to consider the type of experience the talent possesses. It’s important to note that “Git developer” is a bit of a misnomer. In truth, you will likely be looking for some other type of developer (e.g., Android, iOS, web developer) who happens to know Git. The following table breaks down the rates of the typical types of Git developers you can find on Upwork.
Rates charged by Git developers on Upwork
|
Developer Type |
Description |
Hourly Rate |
|
Front end |
Web fundamentals (HTML, CSS, JavaScript). JavaScript frameworks such as Angular, React, and Vue. Experience with Git and your preferred repository hosting service. |
$30-60+ |
|
Back end |
Servers, cloud solutions, database technologies, and back-end languages (e.g., Java, PHP, Python). Back-end frameworks (e.g., ASP.NET, Laravel, Django). Experience with Git and your preferred repository hosting service. |
$30-60+ |
|
Full stack |
Working knowledge of both front-end and back-end development. Experience with Git and your preferred repository hosting service. |
$60-100 |
Cost factor #3: location
Location is another variable that can impact a Git developer’s cost. It’s no secret that you can leverage differences in purchasing power between countries to gain savings on talent. But it’s also important to factor in hidden costs such as language barriers, time zones, and the logistics of managing a remote development team. The real advantage to sourcing talent remotely on Upwork is the ability to scan a global talent pool for the best possible person for the job. Location is no longer an obstacle.
Cost factor #4: independent contractor vs. agency
The final variable regarding talent cost is hiring an independent contractor vs. an agency. An agency is often a “one size fits all” model, so you’ll often have access to a designer, a project manager, an engineer, and more. When hiring individuals you have total autonomy regarding who is responsible for which part of the project, but you’ll need to source each of those skills separately.
The trade-off between hiring individuals vs. hiring an agency is the level of administrative overhead you incur personally in coordinating tasks among all members of the team. Project scope and personal preference will determine which style is a better fit for your needs.
Committing directly to master: Committing to master has become a running joke within the developer community. Everyone has a commit-to-master story where they or someone else broke a build or caused a problem by committing bad code to the master branch. As a general rule you should only commit to master by merging a development branch that is stable, tested, and ready for deployment. The idea is to commit all code changes to your own local branch and merge only once you’re sure those changes are validated.
If you need to roll back to the previous branch but don’t want to lose all the work you did accidentally committing to master, you can branch your current progress to save that work before rolling back the master branch to its previous version with the hard git reset command:
git branch new-branch
git reset HEAD~ –hard
git checkout new-branch
Not resetting keys and passwords after pushing sensitive data: Imagine accidentally uploading an SSH key or password to your repository through an accidental commit. You might think that all you have to do is remove that commit with a rebase or reset, followed by a force push to master. However, force push doesn’t actually delete the commit; it creates a new one and moves the file pointer to it. You can still access the old data via SHA-1. If you try to avoid this leak by manually deleting your .git folder, you risk messing up the repositories of other team members who might have pulled the latest changes. Moreover, your data was already exposed for an unacceptable period of time. This is why the most elegant solution is to simply update your keys after patching the leak in your remote repository.
Committing generated files: Generally speaking, you should commit only manual code to a repository. If a file is generated from your code it can be difficult to apply the line-based diff tracking used by Git. This normally powerful tool for tracking changes can become a major headache when it becomes difficult to separate the manual code changes that matter from the code changes that resulted from code-generated files. It also complicates contributions to your library from other developers, as they might make changes to the generated files rather than the source code itself. Their contributions could easily disappear the next time the build is run.
Tips and best practices
Keep commits clean, concise, and single-purpose
It can be all too easy to make large meandering commits that address multiple features and bugs in a single push. The problem with this approach is that other developers may find it difficult to understand your changes when they’re all lumped together in a single commit. Git is supposed to make it easier to work with a distributed team of developers. The larger that team is, the more important it becomes to keep your commits small and focused. Single-purpose commits streamline code reviews, simplify rollbacks, and make tracking changes with your ticketing system easier.
Commit early and often
You only really start to see the real benefits of a version control system like Git when you commit early and commit often. Think of it as saving your progress with periodic checkpoints as you code. This makes it easier to ensure each commit compiles and/or passes regression tests. The only exception may be for large public projects, where you don’t want to overwhelm contributors with an excessive number of commits. In this case, your commits may be more substantial, but they should still follow a general theme that makes sense and tells a story about the logical progression of your project.
Write detailed comments on your commits
Git requires you to write a comment for every commit. The idea is to be detailed and concise, capturing the purpose behind every code commit. The more descriptive you make these comments, the easier it will be to track bugs and figure out where your build went wrong when you encounter an issue in a future commit. It will also make it easier for a development team of programmers to collaborate on a project.
A talent edge for your entire organization
The hiring process should be structured to assess both technical and soft skills, such as communication skills and the ability to work collaboratively with team members. Conducting technical interviews and reviewing candidates' GitHub profiles for past projects and contributions can provide deeper insights into their capabilities, but all of this takes time and effort.
Upwork’s Enterprise Suite has you covered for hiring, managing, and scaling talent more strategically.
If you’re looking to hire for long-term or full-time assignments, see how Full-time hiring on Upwork simplifies the process and brings you access to the top talent for your project needs.
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