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I am a Full Stack Web & Mobile App Developer with expertise in Web Development, iOS & Android App Development (Top 3%), maintaining 100% Client Satisfaction on Upwork and successfully delivering hundreds of projects across industries. I am a Top-Rated Plus Mobile App Developer specializing in Flutter, React Native, iOS (Swift), Android (Kotlin) and Full-Stack Application Development. I build AI-powered mobile apps, real-time video streaming platforms, SaaS products, MVPs and on-demand service applications with scalable backend architectures using Node.js, NestJS, Laravel and Firebase. I have had the opportunity to work with numerous startups, scale-ups and enterprises, helping them design, develop, launch and scale high-performance mobile and web applications that work flawlessly across devices. ✅ I Can Help You With: - Mobile App Development with Web Admin Panel - MVP Development & SaaS Application Development - API Development & Third-Party Integrations - Node.js / NestJS Backend for Mobile & Web Apps - Laravel / PHP Backend Development - Firebase Integration (Auth, Firestore, Cloud Functions) - Payment Gateway Integration (Stripe, Razorpay, PayPal) - Real-Time Chat, Notifications & WebSocket Integration 💡 Having Expertise In: - AI-Powered Mobile Applications - Real-Time Video Streaming Apps - Live Streaming & Video Sharing Platforms - E-Learning & EdTech Applications - E-Commerce & Marketplace Apps - On-Demand Service Apps (Taxi, Food, Delivery, Booking) - Chat & Social Networking Apps - SaaS & Subscription-Based Platforms - Gamified Mobile Applications - AR/VR Mobile App Development - IoT & BLE-Based Mobile Applications 🎯Key Milestones: 🚀 Rewarded as 🏆 𝗧𝗢𝗣 𝗥𝗔𝗧𝗘𝗗 𝗣𝗟𝗨𝗦 🏆 by Upwork (𝗧𝗼𝗽 𝟯%) 🚀 7000+ personal hours on Upwork and still counting 🚀 100000+ agency hours on Upwork and still counting 🚀 100% Job Success (Client Satisfaction Ratio) 🚀 500+ jobs completed successfully as an Agency 🎯 Checkout my portfolio of apps on Upwork: Over the past decade, I have honed my skills in developing a diverse array of iPhone and Android applications Development ✅ Health and Fitness Apps ✅ GPS/ Geo Location Apps ✅ Trade Apps ✅ Homeowner/Contractor App ✅ Artificial Intelligence based Apps ✅ Bluetooth / BLE Integration Apps ✅ Food Delivery Apps ✅ Nutrition Planning Apps ✅ Restaurant Search Apps ✅ Salon Booking Apps ✅ Gym Booking Apps ✅ Taxi Apps ✅ AI Powered Apps ✅ E-commerce Apps ✅ Dating and TikTok Style Apps ✅ Video Streaming, Voice Calling, Chat and Messaging Apps ✅ Real Estate Apps ✅ Driver Instructor Finding Application ✅ Hotel and Travel Booking Apps ✅ E-Learning Mobile Application ✅ Wellness & Meditation Application ✅ NDI's Industry Applications 🎯 Areas of Expertise ◉ Mobile App Development: Swift, Objective C, Kotlin, Java, Jetpack ◉ Cross-Platform App Development: Flutter (Dart), React Native ◉ Backend Development: Node JS, Nest JS, Laravel, PHP, Express ◉ Frontend Development: React JS, Next JS, Angular, HTML5, CSS3 ◉ API Development & Integrations: REST APIs, AWS Lambda, API Gateway ◉ Databases & Cloud Storage: MySQL, MongoDB, Firebase, DynamoDB ◉ Real-Time App Features: Socket IO, Firebase Real Time Database, Twilio ◉ Payment Gateway Integration: Stripe, Razorpay, PayPal, Braintree ◉ Maps & Location Services: Google Maps, Apple Map Kit, GPS Tracking ◉ Version Control & Collaboration: GitHub, Bitbucket, GitLab I specialize in no-code/low-code development and AI integrations, allowing you to launch faster while keeping costs low without compromising quality. Additional Services that i am offering: - 6 Months Free Maintenance once the apps goes live on apple store and Google play store - Ownership/iP rights from the day one uploaded on the Client Github - Regular Updates & Scrum meetings. - Following Agile Scrum Methodology from day one - Strictly adhering to the Apple Guidelines and Google Guidelines. - Taking Complete responsibility of Deployment on both Apple store and Google Play store. I specialize in no-code/low-code development and AI integrations, allowing you to launch faster while keeping costs low without compromising quality. I work with tools like Bubble, FlutterFlow, Webflow and integrate powerful AI solutions using Claude, GPT and OpenAI APIs to build smart, automated systems. 🔹 What I Do - Full Stack Web & Mobile App Development - No-Code / Low-Code Development (Bubble, FlutterFlow, Webflow) - AI App Development & Integration (Claude AI, GPT-4/5, OpenAI API, Chatbots, Automation) - SaaS Application Development (Subscription Models, Multi-Tenant Systems) - API Integration (Payment gateways, third-party services) - Dashboard & Admin Panel Development - Workflow Automation (Zapier, Make, AI Automation Systems)) - UI/UX Design (Figma) 👉 Let’s start with a FREE 15–30 minute consultation to discuss your project and define the best approach. Contact us today to discuss your project requirements.

8+ years of experience | Top Rated Plus Freelancer 𝗠𝗼𝘀𝘁 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀𝗲𝘀 𝗮𝗿𝗲 𝗹𝗼𝘀𝗶𝗻𝗴 $50𝗞–$500𝗞+ 𝗶𝗻 𝗵𝗶𝗱𝗱𝗲𝗻 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗶𝗻𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝗶𝗲𝘀, missed leads, manual workflows, slow response times, and disconnected systems. 𝗜 𝗯𝘂𝗶𝗹𝗱 𝗔𝗜/𝗠𝗟-𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝘁𝗵𝗮𝘁 𝗲𝗹𝗶𝗺𝗶𝗻𝗮𝘁𝗲 𝗶𝘁, 𝗮𝗻𝗱 𝗿𝘂𝗻 𝗿𝗲𝗹𝗶𝗮𝗯𝗹𝘆 𝗮𝘁 𝘀𝗰𝗮𝗹𝗲. I’ve worked with 25+ businesses across healthcare, SaaS, eCommerce, hospitality, construction, distribution, local services, and enterprise systems, building production-ready AI solutions that automate real workflows, not demos. 𝗥𝗲𝗮𝗹 𝗜𝗺𝗽𝗮𝗰𝘁 𝗔𝗰𝗿𝗼𝘀𝘀 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀 ➞ Healthcare : Voice AI, clinical chatbots, medical transcription (NLP), patient engagement, appointment automation ➞ Distribution & Manufacturing : Document AI (OCR), order parsing, inventory automation, demand forecasting, analytics dashboards ➞ Hospitality & Local Services : AI booking systems, WhatsApp automation, conversational AI, lead conversion systems ➞ Construction & Real Estate : Data extraction, lead generation systems, workflow automation, CRM pipelines ➞ SaaS & Internal Tools : AI copilots, GPT-based apps, analytics dashboards, reporting systems, multi-agent architectures 𝗪𝗵𝗮𝘁 𝗜 𝗕𝘂𝗶𝗹𝗱 ClaudBot : AI assistant for conversations, workflows, and task automation CoWork : internal AI workspace for team productivity and knowledge access MoltBot : AI automation system for lead handling and business operations Paperclip : document AI system for parsing, extraction, and validation CrewAI-based systems : multi-agent workflows, task coordination, tool execution RAG systems : knowledge base AI and semantic search across documents NLP systems : text classification, entity extraction, summarization, intent detection Chatbots : web, WhatsApp, and support automation Voice AI : conversational systems and IVR automation LLM pipelines : prompt design, tool calling, structured outputs AI copilots : internal assistants for teams and operations Workflow automation : APIs, CRM/ERP integrations, Zapier, Make, n8n Document AI : OCR, PDF parsing, data extraction and validation Data pipelines : ETL, real-time processing, structured data flows Dashboards & analytics : reporting systems and insights generation Predictive systems : recommendation engines and ML models 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 & 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 AI / ML & LLMs OpenAI (GPT-4/4o), Claude, Gemini, Llama, DeepSeek, Qwen, Mistral, Hugging Face, Fine-Tuning, Embeddings, Vector Search, MCP, Function Calling Agent Frameworks & AI Systems LangGraph, LangChain, CrewAI, AutoGen, OpenAI Agents SDK, Hermes Agent Framework, Mastra, PydanticAI, Multi-Agent Systems, Agentic Workflows, Tool Calling, AI Copilots AI Application Frameworks Vercel AI SDK, Next.js AI Applications, AI Assistants, Streaming AI Interfaces, AI SaaS Development RAG & Knowledge Systems LlamaIndex, Haystack, Pinecone, Weaviate, Qdrant, ChromaDB, FAISS, Hybrid Search, Semantic Search, Knowledge Graphs Voice AI & Conversational Systems LiveKit Agents, Vapi, Retell AI, Bland AI, ElevenLabs, Whisper, Speech-to-Text (STT), Text-to-Speech (TTS), AI Voice Agents, IVR Automation Computer Use & Browser Agents Browser Use, Stagehand, Computer Use Agents, Web Automation Agents, Autonomous Workflows Observability & Evaluation LangSmith, LangFuse, Arize Phoenix, Prompt Evaluation, LLM Monitoring, AI Analytics Automation & Integrations n8n, Zapier, Make, REST APIs, Webhooks, HubSpot, Salesforce, WhatsApp API, Twilio, CRM/ERP Integrations Backend & Infrastructure Python, FastAPI, Django, Node.js, Docker, AWS, GCP, Azure, LiteLLM, Ollama, vLLM, Microservices, Serverless Architecture Frontend React, Next.js, TypeScript, Vercel Databases & Data Engineering PostgreSQL, MongoDB, Redis, Supabase, ETL Pipelines, Real-Time Data Processing, Analytics Pipeline 𝗛𝗼𝘄 𝗜 𝗪𝗼𝗿𝗸 Real workflows, not experiments Fast build → quick iteration Stable, scalable systems Clear and direct communication 𝗪𝗵𝗲𝗻 𝗜’𝗺 𝗔 𝗚𝗼𝗼𝗱 𝗙𝗶𝘁 You want to automate business processes using AI/ML You need chatbots, voice AI, or AI agents in production You’re building AI-powered products or internal tools You want to scale without increasing manual work 𝗟𝗲𝘁’𝘀 𝗕𝘂𝗶𝗹𝗱 If you're looking to reduce manual work, build AI systems, or scale automation across your business, let’s connect. Keywords: AI Backend Systems, Next.js developer, React developer, Full Stack Developer, AI Automation Engineer, AI Workflow Automation, Python developer, FastAPI developer, Django developer, n8n developer, n8n specialist, Make expert, Make Integromat, Zapier expert, Zapier automation, Airtable consultant, Airtable developer, Supabase specialist, Firebase developer, AI Chatbot developer, Voice Bot developer, Vapi AI integration, Retell AI developer, ElevenLabs Voice AI, AI MVP prototyping, Bolt developer, Lovable app, SaaS application developer

Hi, I’m Aniket - a Machine Learning Engineer and Quantitative Systems Developer focused on building data driven trading and analytics systems. I work with Python, Pytorch, sciki learn, Pandas, and NumPy to develop ML models, backtesting engines, and paper trading platforms for financial and market data. My work emphasizes robust evaluation, risk aware design, and clean engineering, not just model accuracy. I specialize in: - ML for Financial & Market Data - Quantitative Strategy Research & Signal Modeling - ML Based Backtesting & Paper Trading Systems - Financial Time-Series Analysis & Feature Engineering - Risk Management & Performance Evaluation - End-to-End ML & Trading Pipelines I’m also an active open source contributor to production grade Python and data science/ML libraries, which helps me deliver maintainable, scalable, and reliable systems. Whether you need strategy research, an ML backtester, or a trading analytics pipeline, I bring a practical, engineering-first mindset focused on real-world results. Let’s collaborate to transform your data into actionable outcomes, on time and with precision.

⭐𝗘𝗫𝗣𝗘𝗥𝗧-𝗩𝗘𝗧𝗧𝗘𝗗 𝗧𝗢𝗣-𝟭% 𝗢𝗡 𝗨𝗣𝗪𝗢𝗥𝗞⭐ 🚀 𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗣𝗹𝘂𝘀 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝗳𝗿𝗼𝗺 𝟏𝟐 𝗬𝗲𝗮𝗿𝘀🔥 𝟭𝟬𝟬% 𝗝𝗼𝗯 𝗦𝘂𝗰𝗰𝗲𝘀𝘀 I’m a senior AI/ML Engineer & Generative AI Specialist with over a decade of experience building real-world intelligent systems. I develop AI products that make a measurable impact—whether that’s automating health policy premiums through facial analytics, optimizing logistics via predictive modeling, or powering chatbots with cutting-edge LLMs. 🧠 Core Expertise Generative & Language Models: GPT‑4o, GPT‑4 Mini, GPT‑3, BERT, LLaMA, Mistral; custom fine‑tuning, retrieval‑augmented generation (RAG), prompt engineering. Computer Vision & Audio: YOLO, Faster R‑CNN, UNet, DeepLab, OCR; image quality analysis, facial attribute detection (BMI/smoker/age), sound classification, speech‑to‑text. Machine Learning & MLOps: XGBoost, LightGBM, CNNs, RNNs, transformers; TensorFlow, PyTorch, Keras, LangChain, Hugging Face; deployment via Docker, Kubernetes, CI/CD pipelines. Deployment & Infrastructure: AWS, GCP, Azure, Databricks, Vertex AI, Sagemaker; FastAPI/Flask microservices; vector databases (Weaviate, Pinecone); ETL & orchestration with Airflow and PySpark. APIs & Integrations: REST, GraphQL, OAuth/JWT, WebSockets; Twilio, Slack, Discord, WhatsApp Business, Google Cloud APIs, Stripe. 🎯 Impact & Achievements Built facial analytics models to estimate age, BMI, and smoking status, enabling automated insurance pricing and risk assessment for thousands of policies. Designed multimodal LLM workflows using LangChain and LlamaIndex, delivering context-aware chatbots and knowledge retrieval systems. Deployed scalable inference pipelines on AWS and Kubernetes, ensuring high availability and cost‑effective resource use. 🤝 Why Work With Me Expert‑Vetted & Top‑Rated Plus: Ranked in the top 1% on Upwork with 100% job success. Business Value First: I translate AI research into practical, cost‑saving solutions. Clear Communication: I avoid jargon and keep stakeholders informed at every step. End‑to‑End Ownership: From ideation to deployment and maintenance, I deliver comprehensive solutions. 📩 Let’s build AI that truly delivers—drop me a message to discuss your project!

Mohamed Mohudoom | Robotics Software Engineer I build the software that makes robots perceive, navigate, and act. From raw sensor data to autonomous behavior, I work across the full stack of a robotic system. Perception and 3D vision is where I'm strongest. I work with cameras, LiDAR, and depth sensors to build object detection, segmentation, point cloud processing, 3D mapping, and multi-sensor fusion (EKF/UKF) that holds up in real-world conditions, not just in simulation. I optimize these pipelines for real-time performance on embedded hardware like NVIDIA Jetson using CUDA. On the autonomy side, I build and tune navigation stacks in ROS2, including SLAM integration, path planning, and obstacle avoidance. I've worked with both differential drive and Ackermann robots, configuring everything from costmaps to trajectory planners like MPPI and Smac Hybrid A*. I also apply reinforcement learning and imitation learning to train robot policies for navigation and manipulation, with sim-to-real transfer on resource-constrained platforms. What sets me apart: I have a mechanical engineering background. I think about the full system, not just the code. Sensor mounting, kinematics, actuator constraints, URDF modeling, the things that determine whether your robot actually works or just looks good in Gazebo. I write clean C++ and Python, work primarily in ROS2, and can take a project from simulation to hardware deployment. Core Skills: C++, Python, ROS2, OpenCV, PCL, LiDAR, 3D Cameras, Camera Calibration, Point Cloud Processing, Sensor Fusion, SLAM, CUDA, Object Detection, Image Segmentation, NVIDIA Jetson, Autonomous Navigation, MPPI, Nav2, Reinforcement Learning, Gazebo, EKF/UKF, URDF

I help enterprise organizations eliminate LLM hallucinations, slash operational overhead, and scale intelligent document automation. By anchoring cognitive vision frameworks with strict runtime schema validation, I engineer custom, production-grade RAG pipelines and Intelligent AI OCR architectures that deliver deterministic data workflows with a verified 96.8% field-level accuracy across 10,000+ complex corporate pages. If you are dealing with standard vector-search chatbots that hallucinate, lose context, or fail to read dense data tables, or if your legacy OCR tools are outputting broken, chaotic text from blurry scans, faxes, and invoices, I build the automated bridge to clean, database-ready structured data. Unlike generalist script-writers who blindly dump data into basic vector stores, I design enterprise-ready, layout-aware, cost-optimized pipelines engineered specifically for highly confidential, unstructured, multi-column, and multi-page corporate assets. CORE WORKFLOWS & SEARCH-OPTIMIZED ARCHITECTURES: 1. Production RAG Pipelines & Enterprise Knowledge Bases • Advanced Hybrid Search Indexing: Fusing dense semantic vector embeddings (Pinecone, Qdrant, ChromaDB) with sparse keyword retrieval (BM25) to guarantee specific alphanumeric codes, legal sections, and invoice serial numbers are never missed during a query. • Two-Stage Context Reranking: Implementing Cross-Encoder Rerankers (Cohere Rerank, FlashRank) to filter retrieved document nodes down to the absolute best context chunks, slashing downstream LLM token costs by up to 40% while accelerating system execution speed. • Layout-Aware Hierarchical Chunking: Parsing structured document layouts natively to maintain strict parent-child context windows, preventing sentences or complex financial data tables from being blindly split in half during vector indexing. 2. Intelligent AI OCR & Multi-Modal Document Intelligence • Vision-Based Pre-Processing: Utilizing OpenCV, PaddleOCR, and LayoutLMv3 to automatically de-skew, binarize, and map out the multi-column reading order of messy scanned PDFs, faxes, or smartphone images before running extraction. • Multi-Modal LLM & Vision Data Extraction: Routing raw text tokens and visual patches through state-of-the-art vision-language models (GPT-4o, Claude 3.5 Sonnet, or local open-source models like Llama-3.2-Vision and Qwen2.5-VL) to automatically repair transcription typos and misaligned characters by understanding the surrounding industry context. 3. Schema Enforcement & Human-in-the-Loop (HITL) Guardrails • Strict Schema Enforcement: Employing programmatic validation frameworks like Instructor and Pydantic to mathematically force LLM outputs into 100% compliant, database-ready JSON, CSV, or SQL structures at the native API level. • Algorithmic Triage: Tracking model confidence log-probabilities. High-confidence data saves instantly to production databases, while low-confidence edge cases route seamlessly to custom Streamlit dashboards for rapid human validation. PROVEN ENTERPRISE CASE STUDIES & SUCCESS METRICS: • Enterprise Document Intelligence: Multimodal AI OCR, Pydantic Extraction & Hybrid RAG Pipeline Designed and engineered an end-to-end production pipeline to automate the processing of dense, unstructured corporate assets (including scanned PDFs, financial statements, and high-volume faxes). Used LayoutLMv3 to preserve structural hierarchies and the Instructor library paired with strict Pydantic schemas to achieve an elite 96.8% verified field-level extraction accuracy across 10,000+ pages. • AI OCR Automation for High-Volume Faxes: Engineered a highly resilient extraction and contextual text-cleaning pipeline running flawlessly for complex, handwritten and blurry business records. • Markdown Data Extraction Specialist: Built a hyper-accurate pipeline converting complex document styles into structured markdown format for seamless vector indexing and RAG ingestion • Enterprise Document Parsing: Consulted on and deployed custom backend AI microservices to clean, parse, and automate unstructured multi-page document flows. MODERN PRODUCTION TECH STACK: • LLMs & Vision-Language Models: GPT-4o, Claude 3.5 Sonnet, Llama-3.2-Vision, Qwen2.5-VL, DeepSeek-VL2 • Frameworks & Validation: Instructor (Pydantic), LangChain, LlamaIndex, vLLM, Ollama, LangGraph • OCR & Computer Vision: Tesseract OCR, EasyOCR, PaddleOCR, OpenCV, LayoutLMv3, Marker, Text Extraction • Infrastructure & Vector DBs: Python, AI Chatbot Development, VectorDBs (Pinecone, Chroma, Qdrant), PostgreSQL, Docker, Data Scraping, Web Scraping, PDF to Excel Ready to eliminate hallucinations, protect your data privacy, and automate your critical document workflows with deterministic accuracy? Click "Invite to Job" to review your current pipeline architecture.