Hire the Best LevelDB Freelancers in Lahore, PK

AI/ML Engineer specializing in LLMs, RAG systems, and backend API development. I build production-grade AI systems, not prototypes, for businesses that need reliable automation and real deployments, not just demos. Recent work: Built and deployed a diffusion-model-based generative floor plan system in production (IMARAT) Designed an AI voice ordering system for a pharmacy client: outbound Urdu/Pashto calls that confirm, modify, or cancel orders, using ElevenLabs Conversational AI, n8n, FastAPI, and PostgreSQL Built HillSafe AI, a cloud-based landslide risk detection and emergency response system using a Random Forest ML pipeline, Flutter, Django, and Firebase Built a state-machine-driven Android automation engine with atomic execution locking and full audit logging (BitBash) What I can build for you: LLM-powered chatbots and conversational agents (WhatsApp, voice, web) RAG pipelines for document Q&A and knowledge base search Backend APIs (FastAPI/Django) to power AI features Workflow automation (n8n, Zapier, Make) connecting AI to your existing tools Computer vision pipelines (detection, classification, OCR) Stack: Python, FastAPI, Django, LangChain, OpenCV, PostgreSQL, React, n8n, ElevenLabs, Firebase Tell me what you're trying to build, happy to scope it before you commit.

Available Now I'm an AI data annotator with hands-on experience in computer vision data labeling for machine learning teams. I work inside CVAT, Labelbox, Roboflow, and Label Studio daily, handling everything from image annotation and video annotation to complex segmentation tasks — so your engineers can focus on the model, not the data. My work covers the full range of computer vision annotation: bounding box annotation for object detection, semantic segmentation and instance segmentation masks, polygon annotation for irregular shapes, keypoint labeling for pose estimation, and frame-by-frame object tracking in video datasets. Each label follows your guidelines exactly — and when I hit an edge case, I flag it instead of guessing. I support machine learning and AI development teams who need clean, consistent training data at scale. Whether you have 500 images or 500,000, the quality standard stays the same — because one bad label in a batch affects everything downstream. ✅ What I bring to every project: 🔹Pixel-accurate segmentation masks with no sloppy edges 🔹Consistent bounding boxes across large object detection datasets 🔹Reliable video annotation with proper object tracking between frames 🔹Fast turnaround with clear communication at every stage 🔹A annotator who reads the labeling guide before touching the first image ➡️ Let’s Work Together Send me your dataset, annotation guidelines, or a sample task. I'll return a labeled batch so you can judge the quality yourself before committing to a full project.

AI coding agent stuck or working against you? I fix that. I'm a full-stack developer with 7+ years building production software — websites, complex business systems, and AI integrations that actually hold up in the real world, not just in a demo. 💡 Why me? I don't waste your time or money — verify it in my reviews. 🚀 What I do (mainly web, mobile and AI integration — detailed below) ✓ Full-stack web & mobile development — any part of the stack, plus performance optimization ✓ AI agents & AI integration — OpenAI/GPT-4, LangChain, automation workflows ✓ Rescuing stuck AI-built ("vibe-coded") projects — turning them into real, production-ready software ✓ Database & API design, integration, and optimization ✓ WordPress, Webflow & Shopify — builds, customization ✓ Technical/code-level SEO — site speed, structure, crawlability ✓ Code review & fixes on inherited or messy codebases ✓ GIS/mapping and 3D/WebGL builds when the project calls for it 📈 Proof, not promises ✓ Scaled a university platform from under 20 to 20,000+ daily active users, with database replication (1 master / 2 slaves / 2 backup nodes) handling 100 queries/sec ✓ Cut a production system's response time from 5 seconds to under 30ms by adding a caching layer ✓ Built a real-time 3D product configurator (Three.js/WebGL) for a live industrial manufacturer in 4 weeks ✓ Shipped an MVP with 7 core features in 3 months for an early-stage startup 🧰 Core stack Frontend: Angular, React, Vue, Next.js, Tailwind, Bootstrap, Material UI, Ant Design Backend: Node.js, NestJS, Express, AdonisJS, gRPC, WebSockets CMS/E-commerce: WordPress, Webflow, Shopify (Liquid theme development) Data: PostgreSQL, PostGIS, MongoDB, MySQL, Firebase, Supabase, Redis AI: OpenAI GPT-4, LangChain, RAG, Assistants API, embeddings, vector databases Mapping/3D: Mapbox, GeoJSON, Leaflet, Three.js Cloud/DevOps: AWS, Docker, Kubernetes, CI/CD AI automation is the biggest shift in software right now, and it's not slowing down. Whether you need a working product built, an existing one fixed, or AI woven into what you already have, let's connect and move forward. 📩 Send me a message with what you're building. I'll tell you honestly if I'm the right fit.

I help companies build interactive solutions that improve training, safety, and product experiences. Over the years, I have delivered 70+ projects across AR/VR training, web-based simulations, and 3D configuration systems for startups, enterprises, and government-level organizations, primarily across Europe and international markets. My core focus areas: • Safety, onboarding, and SOP training modules • 3D product configurators and interactive visualization tools • AR and VR training simulations for enterprise teams • Web-based 3D simulations that run directly in the browser • Realistic digital walkthroughs using Gaussian splat environments I co-founded Gamebole, an immersive technology studio specializing in scalable AR/VR and web-based simulation systems. We work with a structured team of developers and 3D specialists to deliver performance-optimized solutions built for real business use. Companies typically work with us to: • Reduce training time and operational costs • Improve safety awareness through simulation • Replace physical training setups with scalable digital systems • Build high-performance 3D configurators for products • Develop web-first immersive systems without complex installs Technologies we commonly use: PlayCanvas, Unity, Three.js, WebXR, SUPERSPLAT, and custom backend integrations when required. If you are planning to use AR/VR or web-based simulations to improve training or product engagement, I would be happy to discuss your requirements.

I'm a Software Engineer with 3+ years of professional experience shipping 50+ games with 100M+ combined downloads. I've worked with international publishers including Voodoo and built products across mobile, FPS, AR, and AI tooling. 🎮 Game Development (Unity / C#) I build complete game systems from scratch — FPS mechanics, roguelite progression, multiplayer foundations, mobile-optimized UI, and physics-based gameplay. I've shipped hyper-casual prototypes for Voodoo, contributed to titles at Game District, and currently lead development on a co-op FPS roguelite targeting Steam. What I deliver: — Gameplay systems, character controllers, AI behaviours — Mobile optimization for iOS and Android — Fast prototyping with publisher-ready quality — Bug fixing, performance profiling, and legacy code cleanup 🤖 AI Engineering & LLM Integration I build AI-powered tools and integrate LLMs into real workflows. I created EditorMind MCP — an open-source tool that gives AI agents like Claude direct control over the Unity Editor, enabling autonomous code writing, error querying, and file management inside Unity. It uses a C# HTTP listener, Node.js MCP server, and ships self-contained binaries for Windows, macOS, and Linux via GitHub Actions CI/CD. What I deliver: — MCP server development and LLM tool integration — AI agent workflows using Claude, OpenAI APIs — Python scripting and automation pipelines — AI-assisted development tooling for game engines 💻 Web & Software Development Comfortable building full-stack web projects including Next.js apps, REST APIs, and developer tools. I built and deployed my own portfolio site (Next.js 14, Vercel, cyberpunk aesthetic) and have experience with GitHub Actions pipelines and CI/CD workflows. Previous clients say: "Raheeb is an amazing, talented, hard-working developer with deep gaming industry knowledge. His dedication to the job and pure talent allowed the work to be finished perfectly." Available full-time · Response time under 30 minutes · Open to long-term contracts

Six years ago I wrote my first Angular component. Today I'm designing deep learning architectures, training CNNs, RNNs, LSTMs, and Transformers with TensorFlow, Keras, and PyTorch, running NLP and computer vision pipelines in Python, deploying ML models into production inference APIs, and shipping the Mapbox dashboards that make all of it usable for real users. Full-stack engineering, data science, deep learning, and geospatial intelligence — one connected skill set, not four separate services. My current role is at Farmdar, a precision agriculture platform where this plays out at scale every day. I manage Apache Airflow workflows that orchestrate Sentinel-2 satellite imagery processing, build NDVI-based crop stress classifiers using Python, scikit-learn, and Pandas, optimize PostGIS and PostgreSQL spatial queries across large geospatial datasets, and deliver results through Mapbox GL JS and Cesium dashboards with GeoJSON, Leaflet, and remote sensing integrations. The Golang APIs connecting it all in production? I write those too. When clients post for "deep learning engineer," "GeoAI developer," or "AI integration" — that's my day job, not something I learned on the side. On Upwork: 2,500+ hours billed · 13 jobs · 100% Job Success · Top Rated Plus. "High quality work, solved some complex problems." — Billboards America (520 hrs, PostGIS OOH advertising platform) "Muhammad has become an important member of our team… the first I'll reach out to for any future project." — US SaaS client (1,346 hrs over 11 months, React + Node.js + AI data pipeline) Full-stack: Angular v2–v19 is my deepest framework. Equally at home in React, Next.js, React Native, Node.js, NestJS, Express, and Golang, with TypeScript and Tailwind CSS on the frontend and REST and GraphQL APIs on the backend. Data science and deep learning: Python, TensorFlow, Keras, PyTorch, scikit-learn, Pandas, NumPy — CNN architectures, RNNs, LSTMs, GRUs, Transformers (BERT, GPT-style), and GANs — from model design and training through fine-tuning and production deployment. NLP, computer vision, and generative AI are active areas of both my professional work and MS research. Big data and infrastructure: Apache Airflow for pipeline orchestration, PostgreSQL/PostGIS for spatial data, GIS and remote sensing pipelines, geospatial data processing, vector tile servers, AWS (EC2, Lambda, S3, RDS), and Google Cloud Run. I'm completing an MS in Data Science at PUCIT, with coursework covering deep learning, NLP, big data systems, and MLOps. My thesis is on GAN-based avatar generation for Pakistan Sign Language — generative AI solving a real problem in a country where no such system existed before. Not a side experiment. A full research project with working implementation. What I build: GeoAI platforms and spatial data systems, deep learning and computer vision pipelines, NLP and Transformer integrations, end-to-end ML pipelines from raw data to deployed inference APIs, full-stack SaaS applications, and React Native mobile apps. What I skip: experiments that never leave a notebook, rush jobs that need corners cut, and projects where "AI" is just a label with no implementation behind it. Message me — I'd like to hear what you're building. — #DeepLearning #MachineLearning #DataScience #Python #TensorFlow #Keras #PyTorch #NLP #ComputerVision #GenerativeAI #GeoAI #Mapbox #PostGIS #Cesium #GIS #RemoteSensing #NDVI #SatelliteImagery #Angular #React #NextJS #ReactNative #NodeJS #NestJS #Golang #TypeScript #PostgreSQL #GraphQL #ApacheAirflow #AWS #FullStackDevelopment #AIIntegration #Transformers #LSTMs #CNNs #GANs #Pandas #scikit_learn #Leaflet #GeoJSON