A skilled Machine Learning expert specializing in NLP and computer vision with extensive experience in end-to-end workflows comprising model training, fine-tuning, and deployment. Completed over 100 projects, including real-time person detection using YOLOv8 [1], OCR solutions with Tesseract [2], and AI chat engines leveraging OpenAI technologies [3]. Proficient in Python, TensorFlow, Keras, and FastAPI, applying these technologies to build robust ML solutions for diverse applications. Machine learning and other expertise - - Python - HuggingFace/transformers, YOLOv8 - Keras, PyTorch, TensorFlow - OpenCV - SciKit Learn - FastAPI, Docker, ReactJS Types of projects I have completed in recent years - #1. Computer Vision - - OCR with Textract, Tesseract, DocTR - Real-time person detection and recognition - Image segmentation - Image depth measurements #2. Natural Language Processing/Understanding/Generation - Chat engine with HuggingFace, GPT, LangChain, OpenAI, ChromaDB - Virtual Personal Assistant Whisper, LLaMA, Tacotron - Customer Support with Whisper, GPT4, GoogleTTS, Twilio - Tweet Generator - Recommendation Systems

If you’re building a startup or MVP that depends on AI or Computer Vision, your biggest risk isn’t the model, it’s shipping something that breaks, stalls, or never makes money. That’s where I come in. I help founders and business owners turn AI ideas into working, production products fast, predictably, and without burning cash on endless experimentation. I don’t just write code. I design AI systems that survive real users, messy data, and investor scrutiny: ⚫Image recognition and tracking ⚫Real-time video analytics ⚫End-to-end deep learning pipelines ⚫Deployment, monitoring, and scaling (MLOps) Why founders hire me This year alone, I worked with 8 startups: ⚫3 reached pre-seed ⚫1 raised $5M+ for an AI product ⚫1 sold their MVP for $1.25M My focus is simple: build AI that either makes money, reduces costs, or proves the business case fast. How I work ⚫Business-first POCs before scaling ⚫Clean data pipelines, model versioning, monitoring, and deployment ⚫Clear communication, no ML jargon, no black boxes ❗Note❗If the final result doesn’t match what we agree on, you get a full refund. No arguments. If you’re serious about shipping AI, not running experiments forever, we should talk. Keywords: Computer Vision, Deep Learning, OCR, Data Science, LLM, Artificial intelligence, machine learning, object detection, object tracking, instance segmentation, semantic segmentation, image stitching, super resolution, image processing, morphology, OpenCV, TensorFlow, TensorFlow-light, PyTorch, Python, C++, YOLO, StyleGAN, GAN, Performance Optimization, speedup, Tesseract OCR, OCR, Google Cloud Vision API, ChatGPT API, GPT, Google Cloud Platform, Stable Diffusion, SD, 3D, Point Cloud, camera calibration, stereo vision, SLAM, math, algorithms, Clustering, OPTICS, DBSCAN, Kalman filter, accuracy evaluation, data annotation, data labelling, SIMD, ARM-NEON, DSP, GPU, Git, Valgrind, cMake.

👋 I’m a Machine Learning Engineer with hands-on experience in Deep Learning, Machine Learning, and Natural Language Processing (NLP). I have a Bachelor's Degree in Computer Engineering and I am a certified Fusemachines AI Fellow. I have multiple certificates in the machine learning domain from top platforms (e.g. DeepLearning.AI, Kaggle). I have expertise in the following domains: ✔️Machine Learning ✔️Deep Learning ✔️PyTorch ✔️FastAPI ✔️Django ✔️Celery ✔️System Architecture Design ✔️Exploratory data analysis ✔️Digital Image Processing ✔️Neural Network Pruning and Quantization ✔️ Optimizing Models for Real-Time Deployment ✔️Feature Engineering ✔️Data Mining ✔️Data Visualizations ✔️Web scraping ✔️Docker What I Offer: 🧠 Deep Learning Expertise: Specialized in building and deploying neural networks for tasks such as object detection, image classification, pose estimation, and anomaly detection. Proficient in using PyTorch and TensorFlow to develop robust models optimized for real-world applications. 🗣️ Natural Language Processing (NLP): Experienced in developing ASR systems, including a Nepali speech recognition model with a Word Error Rate under 30%. Familiar with transformer models, RNNs, and various NLP techniques for tasks like text classification, machine translation, and sentiment analysis. 📊 Machine Learning & Model Optimization: Expertise in training and optimizing machine learning models for predictive analytics, computer vision, and NLP. I focus on enhancing model efficiency through techniques such as pruning and quantization, ensuring they are ready for real-time deployment. 🔧 Feature Engineering & Data Processing: Skilled in extracting valuable insights from complex datasets, with experience in feature engineering, exploratory data analysis, and data mining to improve model performance. 📊 Data Visualizations & Web Scraping: Able to create informative visualizations and extract structured data from websites for analysis, contributing to well-rounded data-driven solutions. Key Projects: •🧍‍♂️ Human Pose Estimation: Developed a new pose estimation network for estimating pose on event data by reviewing and collecting ideas from existing literature, and also prepared the dataset. •⚙️ Motor Anomaly Detection: Used anomaly detection algorithms (K-means, Isolation Forest) to detect anomalies in live motor systems. •🚍 Passenger Counting Solution: Built a real-time passenger counting system with 96% accuracy, integrating head tracking and custom dataset preparation. •🩻 X-ray Classification System: Developed a lung disease detection model with 87% accuracy, addressing challenges like class imbalance in datasets. •🤖 Custom Neural Networks: Designed and trained YOLO models for high-performance object detection tasks from scratch. •🌐 NLP and Speech Recognition: Built multilingual ASR systems and worked on solutions for text analysis and sequence modeling. •🌾 PCA for Agricultural Data: Applied Principal Component Analysis (PCA) on wheat seed and iris flower datasets for dimensionality reduction and feature visualization. •💵 Banknote Verification: Developed a decision tree classifier to detect counterfeit banknotes using various physical features for high precision. •❤️ Heart Disease Prediction: Implemented a Naive Bayes classifier to predict heart disease risk based on medical data and probabilistic analysis. •💧 Water Quality Prediction: Utilized KNN to predict water potability based on multiple water parameters, demonstrating real-world classification applications. •✍️ Handwritten Digit Classification: Built an artificial neural network from scratch for MNIST digit recognition, including forward and backward propagation mechanisms. •🖼️ Image Segmentation with K-means: Applied K-means clustering for segmenting lake and granite images, showcasing advanced unsupervised learning techniques. •🌳 ID3 & C4.5 Decision Trees: Developed custom implementations of ID3 and C4.5 decision tree algorithms, comparing them on a college admission dataset. How I Can Help: I can develop and optimize machine learning and deep learning models, prepare datasets, and deploy solutions for applications in NLP, computer vision, and real-time systems. Connect with Me 🌐 🌍 Website: amitpant.netlify.app 💻 GitHub: github.com/amitpant7

From building intelligent systems to building business outcomes through AI — I help companies automate operations, scale faster, and unlock measurable growth using Agentic AI and Machine Learning. I’m a Generative AI & Machine Learning Engineer focused on building production-ready AI systems that solve real business problems — not just demos or experiments. Over the years, I’ve worked on AI agents, automation systems, RAG pipelines, computer vision applications, and scalable ML solutions across multiple industries. My focus is simple: implement AI in a way that improves efficiency, reduces manual work, and creates clear ROI. Today, I specialize in designing AI systems that integrate directly into business workflows and existing infrastructure. 💡 What I Build → AI Agents & Multi-Agent Systems → AI Automation Workflows → RAG Chatbots & Knowledge Assistants → AI Copilots & Internal Tools → LLM Applications & Custom GPTs → Computer Vision & OCR Systems → Predictive Analytics & Forecasting Models → AI Integrations with CRM, APIs, WhatsApp, and Business Tools ⚡ Business-Focused AI Solutions ✅ Automating repetitive workflows using AI agents ✅ Building lead qualification and outreach systems ✅ Creating AI assistants trained on company knowledge bases ✅ Processing documents, PDFs, emails, and structured data automatically ✅ Deploying scalable AI infrastructure with cloud integrations ✅ Building intelligent workflows with human-in-the-loop systems 🧠 Core Expertise * Agentic AI * Generative AI * Machine Learning * Large Language Models (LLMs) * RAG Architecture * AI Workflow Automation * Multi-Agent Systems * Prompt Engineering * NLP & Document Intelligence * Computer Vision * AI SaaS Development * API & CRM Integrations 🛠️ Technologies I Work With No-code, Airtable, Zapier, Softr, Glide, OpenAI, Claude, Gemini, LangChain, LangGraph, CrewAI, AutoGen, Python, FastAPI, TensorFlow, PyTorch, Hugging Face, Pinecone, ChromaDB, Weaviate, AWS, Docker, PostgreSQL, Redis, and modern AI infrastructure. ✅ I’m a Good Fit If ✔ You want AI systems tied to real business outcomes ✔ You need automation that reduces operational load ✔ You want scalable AI solutions integrated into existing workflows ✔ You’re building AI-powered products or internal tools ✔ You need fast execution with production-ready implementation 🤝 How I Work → Business-first approach, not just model development → Focus on scalability, reliability, and maintainability → Clear communication and structured execution → Long-term thinking with measurable outcomes → Fast iteration and practical implementation 💬 Let’s Build Something Valuable If you’re looking to automate workflows, build AI-powered products, or implement Agentic AI into real business operations, let’s connect. I can help you design, build, and deploy AI systems that create measurable impact.

🚀Hi! I help startups go from demo → market-ready AI product - fast! I plug into your team and ship production ready features that customers love. 🏆 Top 1% (Expert-vetted) | 8+ years| 100% JSS | 35+ Delighted Clients | 18+ E2E Deployments 🎯 "𝘒𝘶𝘯𝘫𝘢𝘯 𝘪𝘴 𝘢𝘯 𝘢𝘣𝘴𝘰𝘭𝘶𝘵𝘦 𝘨𝘦𝘮! 𝘚𝘩𝘦 𝘸𝘦𝘯𝘵 𝘢𝘣𝘰𝘷𝘦 𝘢𝘯𝘥 𝘣𝘦𝘺𝘰𝘯𝘥. 𝘛𝘦𝘢𝘮𝘪𝘯𝘨 𝘶𝘱 𝘸𝘪𝘵𝘩 𝘩𝘦𝘳, 𝘸𝘦 𝘣𝘶𝘪𝘭𝘵 𝘳𝘰𝘣𝘶𝘴𝘵 𝘥𝘢𝘵𝘢 𝘱𝘪𝘱𝘦𝘭𝘪𝘯𝘦𝘴, 𝘰𝘱𝘵𝘪𝘮𝘪𝘻𝘦𝘥 𝘓𝘓𝘔𝘖𝘱𝘴, 𝘵𝘳𝘢𝘯𝘴𝘪𝘵𝘪𝘰𝘯𝘦𝘥 𝘧𝘳𝘰𝘮 𝘧𝘢𝘯𝘤𝘺 𝘥𝘦𝘮𝘰𝘴 𝘵𝘰 𝘢 𝘴𝘤𝘢𝘭𝘢𝘣𝘭𝘦 𝘈𝘐 𝘱𝘳𝘰𝘥𝘶𝘤𝘵 𝘵𝘩𝘢𝘵 1000𝘴 𝘰𝘧 𝘤𝘶𝘴𝘵𝘰𝘮𝘦𝘳𝘴 𝘭𝘰𝘷𝘦!" - CTO, Healthcare startup, SF (1 of many 5-star reviews) Over 7+ years on Upwork, I've helped startups and enterprises across sectors - Marketing, Healthcare, Law, Education, and Agribusiness - translate AI into measurable business ROI by building the right data and ML foundations. Whether collaborating with 1000+ employee companies or lean 2-person startups, I adapt to the team’s needs: reporting directly to CEOs or CTOs as an AI/Data Lead, or integrating as a hands-on contributor alongside in-house developers. I bring a “brain-for-hire” + hands-on mindset - tackling strategic and technical challenges with equal enthusiasm, always focused on delivering outcomes, not overhead. 👀 See 8+ Case Studies & Demos: totemxlabs dot com/#casestudies 🎯 Recent Success Stories (2024-2025) 1. Graph RAG for Marketing & Strategic decisions Implemented knowledge graph-powered RAG systems using Neo4j for marketing intelligence and SEO optimization - enabling sophisticated knowledge checks and relationship-based insights that traditional RAG cannot achieve. 2. Workplace Safety Vision System Deployed end-to-end computer vision solution for workplace health and safety compliance - real-time hazard detection, PPE verification, and automated incident reporting. 3. Healthcare Diagnostic Knowledge Graph Developed evidence-based diagnostic system using knowledge graphs for healthcare - producing auditable, traceable diagnostic reasoning paths that meet clinical documentation standards. 🧭 My Proven AI Product Process: Discovery: Identify high-ROI AI opportunities aligned with your goals. Data Assessment: Evaluate data availability, relevance, quality. Solution Design: Define user journeys, tech stacks, evaluation frameworks. Development: Optimized sprints for cost-effective, robust AI solutions (min. tech debt). Deployment: Scalable architectures, rigorous testing for production readiness. 💡 Technical Expertise: GenAI & LLMs: LLM Ops (Fine-tuning, Prompt Engineering, RAG, Agentic Workflow, Multi-agent systems, Memory Management), LangChain, LangGraph, LlamaIndex, LangServe; Vector Search (Pinecone, Weaviate, Chroma, FAISS). AI/ML & MLOps: Predictive Analytics, Recommender Systems, RLHF; Model Lifecycle, MLflow, Feature Stores; PyTorch, TensorFlow, Scikit-learn. Cloud & Infra (Multi-cloud): AWS (Lambda, ECS, ElastiCache, DynamoDB, API Gateway), Azure, GCP, Vertex AI, SageMaker; Docker, Kubernetes (EKS/GKE). Software & Data Eng: Python (expert), Fullstack; FastAPI, Flask, Django; REST, GraphQL, OpenAPI, AsyncIO; Batch/Stream (Airflow, Spark, Kafka), Pandas, Polars, dbt; ETL/ELT. DBs/Arch/DevOps: PostgreSQL, MySQL, DynamoDB, MongoDB, Vector DBs (Pinecone, Weaviate, ChromaDB), Neo4j; Microservices, GitHub Actions, Terraform, CI/CD pipelines. 🤝 Why Partner With Me? I help architect and develop E2E AI solutions merging tech excellence with business acumen. Let's transform the AI wave into your competitive edge. ✅DM me if you have an exciting problem to solve! —Updated January, 2026— Latest LLMs (2025-26): GPT-5.2 (OpenAI's flagship with 26% lower hallucination rate) Claude 4.5 Opus & Sonnet 4.5 (200K context, breakthrough coding performance) Gemini 3 Pro & Flash (Deep Think mode, multimodal excellence, 1M token context) DeepSeek V3.2 & R1 series (685B parameters, hybrid thinking/non-thinking modes) Qwen 3 series (open weight dense and mixture-of-experts (MoE) model for reasoning tasks) Agentic AI Frameworks: Langchain & LangGraph (stateful graph-based workflows, production-grade orchestration) OpenAI Agents SDK (lightweight with guardrails and handoffs) CrewAI (role-based multi-agent collaboration, human-in-the-loop) LlamaIndex Agents (RAG-first agent capabilities) AI workflow automation: n8n Knowledge Graphs & Graph RAG: Neo4j 2025 features: Community summaries, parallel retrievers, LLM Knowledge Graph Builder Neo4j Aura Graph Analytics Graph RAG architecture Cypher query optimization, graph embeddings for ML Agentic knowledge graph construction with provenance Computer Vision Applications: Workplace safety, Video generation Multimodal Vision Language Models (VLMs) Context engineering for high quality content generation

AI Audio Engineer specializing in ASR, TTS, voice cloning, and generative music systems. I build and deploy production-ready audio AI pipelines — from speech recognition and synthesis to real-time music generation and audio intelligence. Every system is designed for low latency, edge deployment, and real-world scalability. I’m Ustym, an AI & Machine Learning expert and tech lead specializing in real-time speech, music, and audio processing. I help startups and R&D teams design, prototype, and launch AI-powered audio solutions that are robust, scalable, and ready for production. Whether you’re building a TTS voice assistant, enhancing voice quality, or generating music with style conditioning — I’ve got you covered. 🧰 WHAT I OFFER 🔹 Design and train ASR, TTS, voice cloning, and audio generation models 🔹 Build production-ready pipelines for speech, music, and sound AI 🔹 Optimize models for edge devices (ONNX, TensorRT, TFLite) 🔹 Deliver full-cycle ML development: from research to deployment 🔨 WHAT I BUILD I work across the full pipeline: research, data processing, model training, evaluation, and deployment. My solutions are designed for real-time performance, low latency, and production scalability. 🗣️ AI Speech Systems - ASR (speech-to-text), TTS (text-to-speech), voice cloning, speech enhancement - Speaker identification, phoneme recognition, prosody analysis - Robust to accents, emotions, background noise, and multilingual input 🎵 AI Music & Audio Generation - Generative music with mood/style/genre control, BPM/key detection - Instrument transcription, music captioning, stem separation, audio-to-MIDI - Trusted by music tech platforms and sound design teams 🔉 Audio Intelligence & Sound Analysis - Audio event detection, acoustic scene classification, similarity search - Text-to-audio generation, real-time audio understanding - Applied in smart environments, accessibility, health tech 🛠️ TECH STACK 🧠 AI Frameworks: PyTorch, TensorFlow, Keras, JAX, Hugging Face Transformers, Diffusers 🎙️ Speech & Audio Processing: Whisper, NVIDIA NeMo, SpeechBrain, Kaldi, ESPnet, Coqui TTS Librosa, Torchaudio, FFmpeg, SoX, PyDub, PyAudio, PortAudio 🎧 Generative Audio Models: StyleTTS, Bark, ElevenLabs, Descript Overdub, Magenta, MusicLM, AudioLM, Riffusion, DDSP ⚙️ Model Deployment: ONNX, TensorRT, TorchScript, TFLite, Docker, FastAPI ☁️ Cloud & MLOps: AWS (SageMaker, Lambda, EC2), GCP, Azure, MLflow, DVC, GitHub Actions 👨‍💻 Programming & Data Tools: Python, C++, JavaScript, NumPy, Pandas, SciPy, SQL, Git 🎯 INDUSTRIES I SUPPORT ✔️ Media & Entertainment – multilingual dubbing, personalized streaming, voice synthesis ✔️ Music Tech – AI tools for composition, tagging, sound design ✔️ Gaming & XR – dynamic sound, NPC voices, real-time audio events ✔️ Healthcare – assistive tools, voice diagnostics, accessibility ✔️ EdTech – pronunciation feedback, speech tutoring, language training ✔️ Smart Devices & Security – voice authentication, sound-based alerts ✔️ Customer Experience – transcription, voice agents, sentiment detection ✔️ Video & Film – dubbing, adaptive soundtracks, intelligent editing 💡 WHY ME 🔹 Deep Audio AI Focus – I specialize 100% in speech, music, and sound AI 🔹 Research-Driven Development – I follow the latest ML innovations and apply them fast 🔹 Production-Oriented Mindset – Models are built for deployment, not just demos 🔹 Business Alignment – My work supports real product outcomes and ROI I lead a team of AI/ML audio engineers at It-Jim, where we’ve built systems for voice tech startups, creative tools, medtech products, and smart environments. We bring in strong expertise in ASR, TTS, audio DSP, and full-stack ML delivery. Let’s talk if you need a hands-on expert to build or improve your Audio AI system. Whether it’s voice, music, or sound recognition — I’ll help you go from idea to real-world solution. Let’s build something amazing with sound!

🚀 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐢𝐧𝐠 𝐀𝐈-𝐏𝐨𝐰𝐞𝐫𝐞𝐝 𝐈𝐦𝐩𝐚𝐜𝐭 𝐰𝐢𝐭𝐡: 𝐏𝐲𝐭𝐡𝐨𝐧 | 𝐃𝐣𝐚𝐧𝐠𝐨 | 𝐅𝐥𝐚𝐬𝐤 | 𝐑𝐞𝐚𝐜𝐭 | 𝐎𝐩𝐞𝐧𝐀𝐈 | 𝐋𝐚𝐧𝐠𝐂𝐡𝐚𝐢𝐧 | 𝐑𝐀𝐆 | 𝐋𝐋𝐌𝐬 | 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 | 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈 | 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 | 𝐍𝐋𝐏 | 𝐔𝐧𝐢𝐭𝐲 💼 𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 | 𝐋𝐋𝐌 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 | 𝐒𝐜𝐚𝐥𝐚𝐛𝐥𝐞 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 | 𝐅𝐮𝐥𝐥 𝐒𝐭𝐚𝐜𝐤 𝐀𝐈 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐒𝐦𝐚𝐫𝐭 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐛𝐞𝐚𝐭𝐬 𝐛𝐢𝐠𝐠𝐞𝐫 𝐭𝐞𝐚𝐦𝐬. 𝐈 𝐡𝐞𝐥𝐩 𝐲𝐨𝐮 𝐛𝐮𝐢𝐥𝐝 𝐀𝐈 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐭𝐡𝐚𝐭 𝐰𝐨𝐫𝐤. I work as an AI Engineer and Full Stack AI Developer with 6+ years of experience, focused on building LLM-integrated systems, agentic AI workflows, and AI-powered SaaS platforms that automate decisions and scale efficiently across industries like healthcare, e-commerce, sports analytics, real estate, and logistics. I combine backend development (Django, FastAPI, Flask, PostgreSQL) with advanced AI systems (RAG, GPT-4, LangChain, Stable Diffusion) to deliver measurable results—not just prototypes. 🔹 𝗪𝗵𝗮𝘁 𝗜 𝗕𝘂𝗶𝗹𝗱 🚀 AI Agents & Automation LangChain-powered intelligent agents to automate: * Customer support, onboarding, finance reporting, fraud detection * Integrated with n8n, LangGraph, and OpenAI Assistants API 📚 RAG & Enterprise Knowledge Systems * Retrieval-Augmented Generation pipelines using Pinecone, Qdrant, and ChromaDB * Context-aware querying across PDFs, documents, and enterprise data 🧠 Generative AI Applications * GPT-4, Claude, LLaMA 3, and Mistral-powered tools for market research, document generation, and multimodal chat interfaces * Integrated with voice (ElevenLabs), vision (YOLOv8, OpenCV), and text 📊 Document AI & OCR Systems * Tools for invoice parsing, contract summarization, and clause extraction * Using Azure Document AI, Google Vertex AI, and OCR libraries like Tesseract 🏥 Industry Solutions Delivered * AI Notetaker for healthcare visit transcription * Real-time pitch detection platform for baseball (SmartMitt.com) * RAG-based legal assistant for summarizing case law * QR-based restaurant ordering/payment system (Frie) 🛠 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤 & 𝐓𝐨𝐨𝐥𝐬 * AI/LLMs: GPT-4, GPT-4o, Claude, Gemini, LLaMA, BERT, LangChain, LangGraph * Frameworks: FastAPI, Flask, Django, Streamlit * ML/DL: PyTorch, TensorFlow, Keras, YOLOv5/v8, StyleGAN, DALL·E * Databases: PostgreSQL, MongoDB, Pinecone, ChromaDB, Qdrant * Cloud: AWS (S3, EC2, SageMaker), GCP (Vertex AI), Azure (OpenAI, Cognitive Services) * MLOps: Docker, Kubernetes, MLflow, GitHub Actions, RunPod * Frontend: React.js, Webflow, HTML/CSS ✅ 𝐖𝐡𝐲 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 𝐇𝐢𝐫𝐞 𝐌𝐞 * Top Rated Plus on Upwork | Delivered solutions for Dell, Nutanix, xiQ, and Turing * Enterprise-grade AI systems with real-world impact * Deep experience in LLM workflows and agentic systems * Focused on business outcomes and long-term value I am committed to: - 🚀 Delivering full-cycle solutions from concept to deployment. - ⭐ Providing high-quality, maintainable, and scalable web and mobile applications. - ⌚ Ensuring prompt and effective communication, with less than a 1-hour response time. - 👨‍💻 Offering unlimited revisions and lifetime maintenance for all applications developed, demonstrating a dedication to client satisfaction. 📞 𝐑𝐞𝐚𝐝𝐲 𝐭𝐨 𝐒𝐭𝐚𝐫𝐭? Let's connect and bring your vision to life. With my comprehensive expertise, I promise to deliver robust and scalable solutions tailored to your needs, ensuring unparalleled digital success.

Hello! I'm an AI Developer and Automation Expert with 20+ years of experience in software development and over 5 years in Machine Learning and AI. I help businesses bring ideas to life through intelligent, automated, and highly personalized AI Solutions. Whether you need a custom AI Chatbot, an AI Assistant Development solution, or a fully integrated AI Workflow System, I deliver. I’m an AI Developer, AI Agent Builder, and Chatbot Developer with deep expertise in Automation, AI-Powered systems, and AI/ML Engineering. 🚀 What I Bring to Your Project as an AI/ML and Automation Specialist: ✅ I have 20+ years of experience in full-stack software engineering ✅ I build and integrate chatbots across popular platforms like ManyChat, Telegram, and WhatsApp to streamline customer engagement and automate communication workflows ✅ I specialize in api development, app building, automation, chatbot development, machine learning, and delivering intelligent software solutions tailored to business needs ✅ As an AI Developer, Chatbot Developer, Data Scientist, Python Developer, and Web Developer, I bring a full-stack skillset to create intelligent, data-driven web applications that deliver real business value ✅ I apply AI to areas such as animation video creation, chat, chatbot, chatbot marketing, deal closer, image recognition, job application automation, marketing, video creation, web design, and youtube automation ✅ I build intelligent automation solutions with tools like amazon seo, botpress, dialogflow, gpt, gpt-3, open ai, and nlp, and integrate them with workflows in make (integromat) and n8n I’m an AI Expert and AI Consultant who brings AI App vision to life. From AI Prototype design to AI Integration, I’ve developed Custom AI systems that drive automation, business optimization, and customer engagement through intelligent ML models. From AI Bot creation to AI Chatbot integration and AI Agent Development, I build systems using tools like LangChain, LangGraph, and OpenAI. Whether it’s a voice-based AI Assistant, a GPT-powered chat interface, or an agentic AI scenario with RAG, my AI/ML solutions are tailored for measurable impact. I deliver results through AI Workflow Automation, including n8n automation, AI Workflow engineering, and AI Integrations with Hugging Face, Pinecone, and cloud infrastructure like AWS and GCP. I’ve built AI Bots and AI Agents that support Enterprise-level needs and SaaS products. My work as an AI Architect and AI Strategy specialist covers Dataset preparation, AI/ML Model fine-tuning, Prompt Engineer work, and full-stack deployment. From Personalized recommendation pipelines to OCR, Text Extraction, Image Processing, and Computer Vision development, I handle it end-to-end. I use PyTorch, Python, and tools for AI Model Training, model evaluation, optimization, and Deployment. My deep understanding of ML pipelines, LLMs, and Multi-Agent systems enables me to build robust, Intelligent tools that solve real-world problems. As an AI/ML Backend Engineer and AI Tooling Engineer, I ensure your architecture supports future scaling. I’ve implemented automated chatbot workflows, integrated chatbot systems into marketing pipelines, and delivered Audit-ready AI Systems with high reliability. 🎯 AI Chatbot Developer for a Financial Services Platform: ✔ 5x increase in customer query resolution speed using AI Chatbot and RAG systems ✔ Reduced manual support workload by 70% with Automated AI Assistant Development ✔ Achieved 40% lead conversion rate increase through chatbot marketing and AI-driven personalization 🎯 AI/ML Engineer for a Global SaaS Platform: ✔ Decreased operational costs by 60% through end-to-end AI Workflow Automation with n8n ✔ Improved document processing accuracy by 85% with OCR + NLP + AI Model Integration ✔ 3x faster onboarding experience using AI Voice Agent and AI Chatbot powered by GPT 🎯 AI Solutions Architect for an E-Commerce Intelligence Platform: ✔ Generated 2.5x higher product recommendations accuracy with Custom AI + ML Pipeline + Image Recognition ✔ Enabled 24/7 support with a Multi-Agent chatbot system integrated across WhatsApp, Telegram, and web ✔ Boosted ROI on ad campaigns by 33% using AI/ML analytics and Automated Platform integrations As a Computer Vision Developer, AI System designer, and business automation Architect, I use reinforcement learning, LLM Integration, and analytics to design scalable, AI-Driven workflows. I’ve worked on ChatGPT-Powered systems, AI Assistant interfaces, AI lead generation, ai automation, social media marketing automation, and voice AI with cloud deployment using Kubernetes, Docker, AWS Lambda, Vertex AI. If you're building with Chat GPT, Generative AI, or exploring Vector database solutions, I can help. I design and build AI Workflow Systems that reduce cost, enhance performance, and drive business value. If you’re looking for an AI/ML Engineer or AI Consultant who builds working AI-Integrated solutions-let’s work together!

I specialize in AI Automation, LangChain, n8n, Make .com, Zapier, OpenAI API, Claude API, Chatbot Development, RAG Systems, LlamaIndex, Pinecone, FastAPI, Python, API Integration, AI Agent Development, LLM Integration, Workflow Automation, Vector Databases, GPT-4, and Business Process Automation. I am Ayesha, a Certified AI Automation Engineer with 10 years of software development experience and 5 years dedicated exclusively to AI, Automation, and Intelligent System Implementation since 2020. I design, develop, and deploy AI-powered systems that integrate your tools, automate workflows, and operate reliably in production environments. My expertise lies in building production-ready AI solutions that reduce manual effort, optimize business processes, and scale seamlessly as your organization grows. 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝗜 𝗣𝗿𝗼𝘃𝗶𝗱𝗲:   • 𝗔𝗜 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: Design and deploy end-to-end workflows that replace manual processes, integrating data ingestion, processing, decision-making, and output delivery for maximum efficiency.   • 𝗔𝗜 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 & 𝗔𝗣𝗜 𝗖𝗼𝗻𝗻𝗲𝗰𝘁𝗶𝘃𝗶𝘁𝘆: Connect CRMs, ERPs, databases, and third-party platforms with AI systems using REST APIs, webhooks, and custom middleware for seamless automation and interoperability.   • 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: Build autonomous AI agents capable of reasoning, taking actions, calling APIs, and executing multi-step tasks without human supervision.   • 𝗖𝗵𝗮𝘁𝗯𝗼𝘁 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: Develop custom LLM-powered chatbots for customer support, lead qualification, internal helpdesks, and onboarding with multi-turn context, memory, and human fallback handling.   • 𝗥𝗔𝗚 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 & 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁: Transform documents, SOPs, internal wikis, and other business data into searchable AI knowledge bases using LlamaIndex, Pinecone, and vector databases. Enable semantic search, intelligent Q&A, and continuous updates.   • Business Process AI Implementation: Automate content workflows, reporting, CRM automation, lead nurturing, invoicing, operations management, and other repetitive tasks to improve efficiency and reduce operational costs.   • 𝗔𝗜 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 & 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲: Containerize systems using Docker and Kubernetes, deploy on AWS, GCP, or Azure, and implement CI/CD pipelines, monitoring, and scalable architecture for reliable production-grade AI systems.   • 𝗖𝘂𝘀𝘁𝗼𝗺 𝗔𝗜 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀: Develop LLM-powered pipelines, recommendation systems, predictive analytics tools, and AI integration frameworks tailored to your specific business needs. 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀 𝗜 𝗪𝗼𝗿𝗸 𝗜𝗻: Healthcare, Fintech, E-commerce, Real Estate, Logistics, Education, SaaS, Customer Support, Marketing, Manufacturing, Supply Chain, Human Resources, Consulting, Legal, Travel, and Retail. I take full ownership of projects from discovery to deployment, ensuring seamless integration, production readiness, and measurable business impact. My clients choose me because I combine deep technical expertise with a practical understanding of business workflows to deliver reliable, scalable, and efficient AI systems. Keywords: AI Automation · LangChain · n8n · Make .com · Zapier · OpenAI API · Claude API · Chatbot Development · RAG Systems · LlamaIndex · Pinecone · FastAPI · Python · API Integration · AI Agent Development · LLM Integration · Workflow Automation · Vector Databases · GPT-4 · Business Process Automation

Build production machine learning systems: forecasting, NLP, computer vision, and tabular models, plus the MLOps to deploy and monitor them, so the model keeps working after it ships. Machine Learning Engineer with 8+ years taking ML projects from raw data to live deployment in Python and AWS. Shipped models across telecom, automotive, energy, renewables, shipping, and e-commerce: demand forecasting, customer scoring and segmentation, anomaly detection, NLP, and decision automation. 🔑𝐂𝐨𝐫𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠: Predictive modeling, classification, regression, forecasting, time series, clustering, anomaly detection, recommendation systems, feature engineering 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞: Python, Pandas, NumPy, Scikit-learn, statistical analysis, data wrangling, EDA, A/B testing 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠, 𝐍𝐋𝐏 & 𝐂𝐕: TensorFlow, PyTorch, neural networks, text classification, embeddings, image classification, object detection 𝐌𝐋𝐎𝐩𝐬 & 𝐂𝐥𝐨𝐮𝐝: AWS (SageMaker, EC2, S3, Lambda), Docker, MLflow, CI/CD, model deployment, monitoring, scalable pipelines 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 & 𝐁𝐚𝐜𝐤𝐞𝐧𝐝: FastAPI, Flask, Django, REST APIs, n8n, Zapier, Make, webhooks 𝐀𝐈, 𝐋𝐋𝐌 & 𝐁𝐨𝐭𝐬: GPT-4, Claude, RAG, LangChain, LangGraph, vector databases, prompt engineering, AI agents, chatbot development, conversational AI, Telegram/Discord/Slack bots Tell me your data and the outcome you need. I'll reply with how I'd approach the model and a rough timeline, so you know what working with me looks like before you commit.