Hello, I am Fozil, a software engineer focused on building responsive and user-centric Web, AI and Desktop applications. Here is my technical expertise: ✅ Large Language Models (LLMs):   ☑ Prompt Engineering | Few-shot, Chain-of-Thought (CoT), ReAct   ☑ OpenAI (GPT-4, GPT-3.5), Claude, Mistral, Gemini   ☑ Fine-Tuning (LoRA, QLoRA) & Inference (vLLM, TGI, Hugging Face)   ☑ Embedding Models: OpenAI, Cohere, SentenceTransformers ✅ RAG Systems (Retrieval-Augmented Generation)   ☑ LangChain | LlamaIndex   ☑ Hybrid Search | Dense (FAISS, Weaviate) + Sparse (BM25)   ☑ Document Loaders & Chunking Pipelines | PDF, HTML, Markdown   ☑ Context Compression | Summarization | Memory Management ✅ AI Application Development   ☑ Chatbots | AI Agents   ☑ Streamlit | Gradio | FastAPI | Next.js Frontends   ☑ v0 | Bolt.new | Cursor AI | Lovable ✅ Tooling & Integrations   ☑ LangSmith / Langfuse (tracing & observability)   ☑ Pinecone | Chroma | Redis | Milvus   ☑ Vector DB + Metadata Filtering & Filtering Logic   ☑ Google Search, PDF Parsers, Webhooks, Web Crawlers ✅ ML/NLP Stack   ☑ Scikit-learn | SpaCy | Transformers | Hugging Face   ☑ Text Classification | NER | Summarization | Q&A Systems   ☑ Sentiment Analysis | Zero-shot / Few-shot Classification ✅ Back-End & Deployment   ☑ Python | TypeScript | Node.js   ☑ FastAPI | Express.js | GraphQL APIs   ☑ Docker | AWS Lambda | Vercel | Render | Railway   ☑ CI/CD | Secure Auth | API Rate Management

𝗖𝗵𝗮𝘁𝗯𝗼𝘁𝘀 • 𝗥𝗔𝗚 • 𝗔𝗚𝗘𝗡𝗧𝗦 • 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 • 𝗔𝘂𝘁𝗼-𝗦𝗰𝗮𝗹𝗶𝗻𝗴 𝗔𝗜 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 Building a “chatbot” is easy. Building an AI system that processes 2,500 documents/day, complies with GDPR, auto-scales on Azure, and never breaks under load requires a completely different level of engineering. I am a 𝗦𝗲𝗻𝗶𝗼𝗿 𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 & 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 with an MSc in Artificial Intelligence and hands-on experience delivering mission-critical AI systems for major banking institutions and fast-moving startups. I specialize in turning chaotic, unstructured data into clean, validated insights and automating workflows where off-the-shelf tools fail. 📊 𝗣𝗿𝗼𝘃𝗲𝗻 𝗥𝗲𝗮𝗹-𝗪𝗼𝗿𝗹𝗱 𝗖𝗮𝘀𝗲 𝗦𝘁𝘂𝗱𝗶𝗲𝘀 1️⃣ Enterprise Financial Document Extraction - Major Bank 𝗧𝗵𝗲 𝗣𝗿𝗼𝗯𝗹𝗲𝗺: Validating thousands of financial statements (up to 300+ pages each) manually. 𝗠𝘆 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻: Full pipeline with Azure Document Intelligence (OCR) + LLM extraction Page-level classifier to remove irrelevant content → dramatically lower token costs Kafka queue architecture for distributed processing Secure data flows aligned with GDPR & enterprise privacy requirements 𝗥𝗲𝘀𝘂𝗹𝘁: ✔ Processes 2,500+ documents/day ✔ 16 auto-scaling workers ✔ Fully automated, zero human-in-the-loop for compliant documents. 2️⃣ Intelligent Ticket Routing Agent, 1M+ Requests/Year 𝗧𝗵𝗲 𝗣𝗿𝗼𝗯𝗹𝗲𝗺: Misrouted tickets causing 5-6 day delays. 𝗠𝘆 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻: Multi-step LLM Reasoning Agent Can distinguish between 400+ hierarchical ticket classes Optimized cost & latency via Azure Functions 𝗥𝗲𝘀𝘂𝗹𝘁: ✔ 80% accuracy (surpassing human 75%) ✔ 1M+ tickets routed annually ✔ Ticket resolution time dropped from 5-6 days to 2-3 days. 🛠️ 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝘁𝗶𝗲𝘀 𝗔𝗜 & 𝗟𝗟𝗠 𝗦𝘁𝗮𝗰𝗸 Frameworks: LangChain, LangGraph, LlamaIndex, OpenAI Swarm Models: GPT-4o, Claude 3.5, Gemini, Local LLMs (Ollama) 𝗥𝗔𝗚 Expert: Hybrid search, re-ranking, embeddings tuning, evals 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 & 𝗜𝗻𝗳𝗿𝗮 Backend: FastAPI, Node.js, Azure Functions, Docker Frontend: Next.js, React, TypeScript, Tailwind Databases: Supabase, PostgreSQL, MongoDB, Pinecone, ChromaDB, Qdrant. Enterprise: Azure OpenAI, Kafka, GDPR-compliant architectures, autoscaling pipelines Cloud: Vercel, Cloudflare, AWS Others: Jira, Jenkins, Splunk, Openshift, Sentry 🔄 𝗛𝗼𝘄 𝗜 𝗪𝗼𝗿𝗸 1. Architecture & Strategy We define the best tech stack (cloud vs local LLMs, RAG architecture, data flows) focusing on performance, privacy, and ROI. 2. Rapid MVP Delivery I build functional prototypes in days, not weeks. Perfect for validating ideas early. 3. Production-Grade Applications I implement: Retry Logic Monitoring Evaluation Pipelines Rate Limiting Hallucination-Safe flows AI-Guardrails 4. Continuous Support I am available for optimization, scaling, and long-term improvements. ⭐ 𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗖𝗵𝗼𝗼𝘀𝗲 𝗠𝗲 I combine: The theoretical depth of an AI researcher, the practical experience of an engineer shipping real systems, and the speed of someone who has been coding since the age 14. I don’t “plug APIs together.”, I build resilient, enterprise-grade AI systems that handle real-world messiness. If you need production-quality AI, not a toy, let’s talk.

Hi! I’m Abdulrahman, a Full Stack Developer specializing in modern, scalable websites and web applications. I work across both front-end and back-end, delivering fast, secure, and user-friendly solutions that help businesses grow, helping companies launch and scale digital products. Here's what I do best • Backend: Node.js (Express, NestJS), Python (FastAPI, Flask), PHP (Laravel) • Frontend: React, Next.js, Vue.js, TypeScript • Databases: PostgreSQL, MySQL, MongoDB, Redis • APIs: RESTful, GraphQL, WebSockets for real-time features Cloud & DevOps • AWS (EC2, Lambda, S3), Azure deployment • Docker containerization, GitHub Actions CI/CD • Server setup, scaling, and monitoring AI Integration • LangChain, LangGraph for AI workflows • Custom chatbot development • N8N automation, Qdrant vector database • OpenAI API integration Payment & Integration • Stripe, PayPal payment processing • Third-party API integration (CRMs, POS systems) • OAuth authentication, secure data handling - Other Skills • Agile/Scrum methodologies • Responsive design and cross-browser compatibility • Strong debugging and performance optimization skills What Makes Me Reliable: ✓ Proven Track Record – 100% Job Success, multiple long-term clients (one 7-month project, another ongoing for 1+ year) ✓ Clear Communication – Regular updates, responsive (usually within 24 hours), transparent about timelines ✓ Quality Code – Clean, documented, maintainable—built for your team to understand and extend ✓ Problem Solver – I don't just code specs, I ask questions to understand your business goals My Approach: 1- Understand your business problem (not just technical requirements) 2- Propose practical solutions with honest timelines 3- Build in iterations with regular check-ins 4- Deliver tested, documented code 5- Support you after launch Let’s collaborate to turn your ideas into reality. Whether it’s a website, a web application, or something entirely unique, I’m here to help. Together, we can create something truly amazing. Feel free to reach out, I’d love to discuss your project!

I build production-ready AI and Python backend systems for SaaS, healthcare, fintech, and data-heavy products, including LLM applications, RAG pipelines, FastAPI backends, AI copilots, voice AI workflows, and secure API integrations. I am a Python AI Backend Engineer with 13,000+ Upwork hours, $300K+ earned, 100% Job Success, and Top Rated Plus status. My work is focused on building AI systems that are not just impressive in a demo, but stable, secure, and useful in real production environments. My core work includes: - LLM applications using OpenAI, Claude, Gemini, LangChain, LangGraph, and LlamaIndex - RAG systems using vector databases like Pinecone, pgvector, Qdrant, or Weaviate - Python backend development with FastAPI, Django, Flask, PostgreSQL, and AWS - AI copilots, chatbots, internal assistants, and workflow automation tools - Voice AI systems using Whisper, Twilio, speech-to-text, and real-time backend workflows - Healthcare AI workflows, clinical assistants, medical data handling, EMR/EHR-related integrations - FinTech & data-heavy SaaS platforms involving analytics, reporting, automation, and secure APIs - Authentication, RBAC, logging, background jobs, API architecture, and scalable cloud deployment A lot of AI projects fail because the backend, data flow, permissions, evaluation logic, and integrations are not designed properly. I focus on those parts early so the system can grow without needing to be rebuilt later. I am a good fit if you need someone who can: 1) Turn an AI idea into a practical technical architecture 2) Build a secure Python/FastAPI backend for your AI or SaaS product 3) Design RAG pipelines around real business, medical, or financial data 4) Integrate AI into an existing healthcare, fintech, or SaaS platform 5) Improve an unstable AI prototype and make it production-ready 6) Work directly with your team and communicate clearly without overcomplicating things If you’re building an AI product and want it done properly, I’d be happy to review your requirements and suggest the best technical direction.

Programmer and software engineer. Recently concluded a Masters in Computer Science. Armed with industry relevant skills and work experience. Below is a short overview of my current skills and interests: Proficient with the Python, Go and TypeScript. Familiar with C and C++, Java and C#; with the ability to pick up any programming language with relative ease. Familiar with big data tools (Pyspark, Hive, and Hadoop). Familiar with the standard data science and ML toolbox (numpy, pandas, scikit learn, pytorch). Significant backend and research engineering experience. I know my way around a cloud environment (AWS + Azure). Solid problem solving skills and an interest in algorithm design. Additionally, I also have strong proficiencies with Generative AI and Agentic AI development, and have developed and/or integrated these technologies into projects I have worked on.

I'm a full-stack Python developer with 7+ years of experience building web applications, e-commerce platforms, and location-based solutions. I specialize in Django backends, React frontends, and GIS mapping applications. 𝐖𝐡𝐚𝐭 𝐈 𝐃𝐨: I develop complete web solutions from database to user interface. My expertise includes Python/Django development, React applications, mapping platforms with Mapbox, payment integrations, and cloud deployment on AWS. 𝐑𝐞𝐜𝐞𝐧𝐭 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬: • Built property search platforms with interactive maps for US cities • Developed e-commerce marketplace connecting wholesale vendors globally • Created business analytics dashboards and facility management systems • Delivered GIS applications with advanced mapping and geospatial analysis 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤: Python • Django • FastAPI • React • NextJS • Node.js • PostgreSQL • MongoDB • PostGIS • Mapbox • AWS • Docker • Stripe I deliver clean, scalable code with clear communication throughout the project. Ready to discuss your requirements?

I build production-ready LLM chatbots and high-speed APIs that move business metrics. 15+ years in Python/FastAPI and data platforms. Led AI and backend at venture-backed and 🏅Fortune-500 products. 🏆 Launched LLM chatbot at GeoDB → new revenue vertical; deployed image generator to boost engagement. 🏆 Cut infra costs 8k→1k €/mo and halved annual budget 180k→90k by smart architecture & consolidation. 🏆 Built ETL pipelines (PyArrow/DuckDB) turning reports from days→minutes; scaled engine 1GB→4TB. 🏆 Hyperice (F500): WebSocket + FastAPI backend for group sessions → +15% engagement and $2M in subs revenue impact. What I deliver: 📦 LLM Chatbots & RAG: ChatGPT/Claude integration, LangChain/LangGraph, retrieval, tools, evals, guardrails. 📦 FastAPI Backends: Low-latency REST/WebSocket services, auth/RBAC, queues, testing, observability. 📦 Data Pipelines/ETL: Airflow jobs, PyArrow/DuckDB, PostgreSQL/MongoDB, analytics-ready models. 📦 Cost & Scale: Docker/AWS, async IO, caching, perf tuning, pragmatic infra that pays for itself. 🛠️ Stacks & keywords: Python, FastAPI, LangChain/LangGraph, OpenAI/Anthropic, RAG, Vector DBs, WebSockets, PyArrow, DuckDB, Airflow, PostgreSQL, MongoDB, AWS, Docker. How we start (low-risk): 🟢 48-hour Diagnostic – clarify use-cases, data, and constraints; mini-POC or architecture plan. 🟢 Milestone Plan – delivery roadmap with success metrics (latency, CTR, retention, cost). 🟢 Build & Ship – iterative releases with tests, dashboards, and handover docs. Results I optimize for: faster CX, higher conversion/retention, lower infra cost, clear analytics. 👉 Ready to move from idea to impact? Invite me with 2–3 lines about your users and goal. I’ll propose a concrete plan and timeline.

✅ High-Quality Work ✅ Budget-friendly ✅ Fluent English ✅ Flexible Availability (EDT/GMT/AEST) Dear Client, I have 5 + years of full time experience in Python, Django and FastAPI . I have worked on more than 50 Django /FastAPI websites and web applications which include Enterprise level applications , eCommerce websites, Mobile websites, Healthcare websites along with JavaScript frameworks like AngularJS, ReactJS and Vue.Js. I have created several Python projects for the last 10+ yrs with different libraries. I am a certified Python full stack developer from different institutions. ✅✅✅Core Python✅✅✅ Always used Python latest version along with unittest, PEP standard and KISS and OWASP security followed for coding. Always follow SOLID principles so that all my codes can be understood and extended by any good developer later. Almost all methods are tested by unittest various test cases. Each method cheked by profiling for its better performances. ✅✅✅REST API✅✅✅ All REST API are Open API standard and most of them are with Swagger defined. So they are definitely higest standard in every direction. ✅✅✅Django✅✅✅ I have used mostly Django and Flask framework but also use Tornado async. Django, Django CMS, Django Rest framework, Celery, sentry-sdk, django-extensions, django-rest-framework-jwt, django-rest-swagger, django-simple-history, django-model-utils, django-storage, django-allauth, dubug toolbar etc. ✅✅✅FastAPI✅✅✅ FastAPI, Uvicorn або Gunicorn, FastAPI Debug Toolbar (або middleware), pytest, SQLAlchemy, Pydantic, asyncpg або psycopg, Celery, Redis, OAuth2/JWT (FastAPI security), rate limiting middleware (SlowAPI), background tasks ✅✅✅Databases✅✅✅ I am expertise with different databases like PgSql, Mysql, Mariadb, Mongodb, nosql etc. ✅✅✅Cloud✅✅✅ I have working to create micro services application in different cloud platform say AWS, GCP and Azure. ✅✅✅AWS✅✅✅ Some of the tools I used in AWS various tools including CodeCommit, CodeBuild, CodeDeploy, CodePipeline, Cli, EC2, S3, EBS, DynamoDB, RDS, Lambda with Boto3, VPC, LightShell, SageMaker, Kinesis, SQS, SNS, AppSync, Beanstack, ECR, ECS, Farget, EKS, SES, ElastiCache, Cloudwatch, IAM, Cognito, ApiGateway, Shield, Sso, Route53, CloudFront, ELB, ALB. ✅✅✅Artificial Intelligence✅✅✅ My work is not limited with general Python and MVC based work. But I am a certified Machine Learning and Deep Learning engineer as well. Used different libraries including Tensorflow, Keras, Numpy, Pandas, Matplotlib, ScikitLearn etc. ✅✅✅Frontend ✅✅✅ Front end I have been using from HTML5 to Javascript, Jquery, Angular Js , React Js and Vue Js for years. ✅✅✅Development environment and process✅✅✅ Always use the highly secure development environment along with Git, Docker and Kubernetes. Experience in entire software development life cycle and decision-making. Skilled at building effective and productive working relationship with clients and team members. Software Product/Tools worked with: Python / Django / Flask / Pyramid, PostgreSQL / MySQL / SQL Server / Oracle, JavaScript, AJAX, jQuery, PHP, Amazon Web Services, Heroku, Google App Engine, Google API, Fedex API, Stripe API, PayPal API, HIPAA Compliance, AngularJS, ReactJS, OpenERP / Odoo, Docker, Redis, Redmine, Celery, RabbitMQ, Twilio API and lots more. I can integrate any API with your existing systems. Looking forward to an interview invitation.

I build production-ready AI systems and scalable cloud infrastructure for startups and businesses. My expertise combines AI engineering, backend systems, Kubernetes, and DevOps to deploy reliable LLM applications, AI SaaS platforms, RAG pipelines, and inference infrastructure that can scale in production. I focus on real-world AI engineering, not just prototypes. That includes designing systems that are scalable, observable, cost-efficient, secure, and easy to operate under production workloads. I have experience working with: - Generative AI applications & AI SaaS platforms. - AI agents & autonomous workflows. - RAG pipelines & vector search systems. - Voice AI & speech processing systems. - Fine-tuning & custom model workflows. - LLM serving, inference optimization & GPU deployments. - AI orchestration & automation pipelines. - FastAPI & Golang backend services. - REST APIs, WebSockets & streaming systems. - Distributed systems & microservices architecture. - Kubernetes-based AI platforms & cloud infrastructure. - CI/CD pipelines & Infrastructure as Code. - Observability, monitoring & distributed tracing. - Autoscaling, performance optimization & production reliability. - Cloud-native deployments on AWS, GCP & self-hosted environments. 𝗔𝗜 / 𝗟𝗟𝗠 / 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜: OpenAI API, LangChain, LangGraph, CrewAI, AutoGen, Hugging Face, Transformers, vLLM, Ollama, LLaMA, Mistral, Whisper, Faster-Whisper, RAG pipelines, vector databases, prompt engineering, AI orchestration, fine-tuning workflows, inference optimization. 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: Python, Golang, FastAPI, Flask, Django, REST APIs, gRPC, WebSockets, streaming APIs, distributed systems, microservices architecture. 𝗗𝗲𝘃𝗢𝗽𝘀 / 𝗖𝗹𝗼𝘂𝗱 / 𝗟𝗟𝗠𝗢𝗽𝘀: Kubernetes, Docker, Helm, Terraform, ArgoCD, GitHub Actions, AWS, GCP, Hetzner, CI/CD pipelines, Infrastructure as Code, GPU deployments, autoscaling, cloud-native architecture. 𝗢𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆: Prometheus, Grafana, OpenTelemetry, distributed tracing, centralized logging, monitoring pipelines. 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀: PostgreSQL, MySQL, Redis, MongoDB, ClickHouse, Firebase, vector databases. 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: Playwright, Selenium, Scrapy, BeautifulSoup, workflow automation, data pipelines. If you need someone who can architect, deploy, and scale AI systems end-to-end, from AI applications and backend APIs to Kubernetes infrastructure and production operations, I can help.

Hi, I'm Adeen Shukla. A skilled Software Architect with extensive experience building scalable Software Systems focussed on AWS and Serverless compute models. Expert in architecting and implementing large-scale software systems. My sphere of dexterity includes AWS Lambda, DynamoDB, SQS, SNS, API Gateway, NodeJs, Python, S3, Cognito, etc. I have 6+ years of experience working with Typescript, React Native, Redux, ReactJS, and more. My specialization lies in developing cross-platform solutions that seamlessly operate on iOS and Android devices. My skill set encompasses the implementation of responsive and intuitive user interfaces, performance optimization, and ensuring a seamless user experience. Why pick me? 🎖️ Senior architect-level experience 🎖️ Delivered 40+ projects over the years 🎖️ Certified and vetted by other top dev platforms 🎖️ Lead of Google Developers Group of Central India 🎖️ I have a new profile on Upwork, and I'll dedicate my time to you. Technologies I am an expert in: ✅ React Native ✅ Typescript ✅ Android Native ✅ Firebase SDK(Authentication, Firestore, Storage, Analytics, Crashlytics, Dynamic link, Remote Config) ✅ webRTC, Amazon IVS, Video SDK, Agora.io, Twilio ✅ Stripe, PayPal, Braintree, Razorpay ✅ OpenAPI and other GPT model integration Demonstrating a proven track record, I have consistently delivered high-quality projects within specified timelines. My collaborative approach involves working with cross-functional teams to translate design concepts into functional, feature-rich applications. I remain abreast of the latest trends and updates in the React Native ecosystem, aiming to leverage cutting-edge technologies to enhance the efficiency and capabilities of the applications I develop. My dedication to maintaining clean and scalable code, coupled with a detail-oriented problem-solving approach, equips me to overcome challenges and contribute significantly to the overall success of my development projects. Whether building applications from scratch or optimizing existing codebases, my commitment is to deliver solutions of the highest caliber, exceeding client and user expectations.