✔️ TOP RATED Freelancer specializing in Computer Vision and AI-based image processing systems. I enjoy building practical, production-ready solutions for real-world visual problems and would be glad to contribute to your project in a meaningful way. My core focus is on computer vision, especially tasks involving image understanding, detection, and extraction from complex or noisy inputs. I have strong experience working with: ✔️Image Classification & Fine-Grained Recognition (handling subtle visual differences) ✔️Object Detection (YOLO, SSD, Faster R-CNN, TFOD API) ✔️Image Segmentation (Mask R-CNN, semantic & instance segmentation) ✔️OCR & Text Extraction (structured documents, multi-format, noisy images) ✔️Image Preprocessing (denoising, deskewing, perspective correction, enhancement) ✔️OpenCV-based pipelines for real-time and production use ✔️Deep Learning frameworks: TensorFlow, Keras, PyTorch ✔️CNN Architectures: ResNet, VGG, Inception, EfficientNet ✔️Transfer Learning & Custom Model Training ✔️Synthetic Data Generation & Augmentation ✔️Vector Embeddings & Image Similarity Systems ✔️End-to-End CV Pipelines (data collection → training → deployment) Alongside this, I also have a solid foundation in: ✔️Machine Learning & Deep Learning ✔️Mathematics & Statistics (for model understanding and optimization) ✔️Python ecosystem (NumPy, Pandas, SciPy, etc.) ✔️API Development & Deployment(Docker, AWS, GCP) I hold a Bachelor’s degree in Computer Engineering and am currently pursuing a Master’s in AI, which helps me stay aligned with the latest advancements in the field. My approach is always to first understand the business problem and real-world constraints, and then design a solution that is accurate, scalable, and practical to use. I care deeply about delivering solutions that actually work for clients not just in theory, but in real-world conditions. Thanks & Regards, Ruchir

Most businesses don’t need another AI demo. They need AI systems that save time, reduce manual work, and run reliably in production. That’s what I build. I’m Hassan Mehmood, an AI Engineer with 10+ years of software engineering experience, specializing in AI voice agents, RAG chatbots, LLM-powered applications, n8n automations, and production-ready AI systems. I help businesses turn manual workflows, scattered knowledge, repetitive support tasks, and disconnected tools into intelligent AI systems that are practical, scalable, and easy to maintain. What I Can Build for You AI Voice Agents Voice agents for appointment booking, customer support, lead qualification, follow-ups, reminders, call handling, and CRM updates. RAG Chatbots & Knowledge Systems AI assistants that answer from your documents, PDFs, websites, SOPs, internal knowledge base, product data, or customer support content. n8n / Make / Zapier Automations Workflow automations that connect CRMs, email, Google Sheets, Slack, APIs, webhooks, databases, and AI models. LLM-Powered Applications Custom AI tools using OpenAI, Claude, Gemini, prompt engineering, structured outputs, function calling, tool use, and multi-step workflows. Python AI Backends Scalable backend systems using Python, FastAPI, Flask, Django, PostgreSQL, MongoDB, Redis, AWS, Docker, and API integrations. Recent Work Emotion-Aware AI Wellness Platform — 8M+ Users Worked on AI-powered wellness and emotion-aware chatbot experiences built for real users at scale. Creator AI Platform Built AI workflows and intelligent product features for creator-focused AI applications. Prototype-to-Production Product Engineering Helped take a product from prototype/Replit stage to a live production system with long-term engineering, automation, backend, and deployment support. Skills & Tech Stack AI & LLMs: OpenAI, GPT-4o, Claude, Gemini, prompt engineering, structured outputs, function calling RAG & Vector Search: LangChain, LlamaIndex, Pinecone, Qdrant, Weaviate, Chroma, FAISS, semantic search Voice AI: AI voice agents, speech-to-text, text-to-speech, call automation, appointment booking agents Automation: n8n, Zapier, Make, webhooks, APIs, CRM automation, workflow orchestration Backend: Python, FastAPI, Flask, Django, Node.js, REST APIs Databases: PostgreSQL, MongoDB, MySQL, Redis Cloud & DevOps: AWS, Docker, CI/CD, cloud deployment I’m a Good Fit If You Need An AI assistant connected to your real business data A RAG chatbot for documents, support, SaaS data, or internal knowledge An AI voice agent for calls, booking, support, or lead qualification n8n automations that reduce manual work and connect your tools A production AI backend, not just a quick prototype Someone who understands both AI and full-stack product engineering Why Work With Me I don’t just connect an AI API and call it done. I think through the full system: user flow, data structure, prompts, retrieval quality, backend architecture, integrations, error handling, deployment, and long-term maintainability. My goal is simple: build AI systems that are useful, reliable, and connected to how your business actually works. If you want to build an AI solution that can move from idea to real production usage, let’s talk.

I m a Machine Learning Engineer and AI Automation Expert specializing in Generative AI, LLM pipelines, RAG architectures, and Computer Vision platforms deployed in production for fintech, compliance, sales automation, and developer tooling. ◆ I build LLM & RAG systems that automate complex workflows, cutting manual effort by up to 70% ◆ I deploy Computer Vision platforms that process real-time video at production scale ◆ I integrate ChatGPT, Claude & open-source LLMs into enterprise products within days, not months ◆ I design AI Agent pipelines that reduce operational costs and eliminate repetitive human tasks ◆ I deliver clean, documented, production-ready code on time, every time If your enterprise team needs to automate workflows, scale AI infrastructure, deploy real-time AI systems, or integrate LLMs into existing products, I build solutions that work in production, not just in demos. Core Expertise: ◆ Generative AI & LLMs: LangChain, LangGraph, OpenAI, ChatGPT Integration, Claude, LLaMA3, Mistral, Mixtral, Prompt Engineering ◆ RAG & NLP Engineering: Retrieval-Augmented Generation, vector search, semantic pipelines, NLP Engineer workflows ◆ Computer Vision: MediaPipe, OpenCV, BlazeFace, real-time video analysis, microexpression detection, Deep Learning ◆ AI Agents & Automation: AI Agent design, multi-agent systems, autonomous pipelines, AI Automation, AI Integration, AI Chatbot Development ◆ Vector Databases: Pinecone, Milvus, ChromaDB, FAISS, Qdrant ◆ Model Optimization: PyTorch, TensorFlow, Hugging Face, vLLM, LoRA, QLoRA, RLHF, GGUF, GPTQ, AWQ, reduce inference latency ◆ Cloud AI Infrastructure: AWS Bedrock, AWS SageMaker, GCP Vertex AI, Azure, scale AI infrastructure to production ◆ Voice & Speech AI: ElevenLabs, Deepgram, NVIDIA Riva, Amazon Polly ◆ Backend & MLOps: Python, FastAPI, Flask, PostgreSQL, MongoDB, Kafka, RabbitMQ, Docker, MLOps Selected Projects: ◆ LiarLiar.ai: Real-time AI lie detection embedded into Zoom, Google Meet & Microsoft Teams. Uses Deep Learning and computer vision to analyze microexpressions from live video feeds and flag deceptive behavior instantly, improving model accuracy to detect subtle facial movements in real time. Stack: MediaPipe · BlazeFace · OpenCV · Python · WebSocket · FastAPI ◆ FundEvolve: AI compliance engine for the fintech industry. Parses financial advice videos and cross-checks them against Canadian regulations using RAG and NLP pipelines. Helps legal review teams automate workflows and cut operational costs on manual compliance checks. Stack: RAG · Milvus · OpenAI API · Python · FastAPI · FFmpeg ◆ Castor: Enterprise sales automation AI Agent integrated with Salesforce. Pulls enriched lead data from LinkedIn, Google & ZoomInfo and generates hyper-personalized outreach emails using ChatGPT Integration, helping sales teams scale AI-driven outreach at enterprise level. Stack: LangChain · OpenAI API · Salesforce API · LinkedIn Scraper · Python · PostgreSQL ◆ Aviator: Generative AI developer productivity suite for large code repositories. Automates code review, PR summarization, and testing workflows using LLM pipelines to accelerate engineering velocity and deploy to production faster. Stack: LLMs · LangGraph · GitHub API · Python · FastAPI · Docker Industries I've worked in: Fintech · Legal AI & Compliance · Sales Automation · Developer Tools · Healthcare AI Why enterprise teams work with me: Enterprise projects need more than technical skill. They need clear communication, thorough documentation, compliance awareness, and reliable delivery. I integrate with your team and processes from day one, whether you're in fintech, legal AI, or scaling a SaaS platform. Available 40+ hrs/week. Let's scope your project.

📩 Let’s build your next AI breakthrough—message me to get started. 🔹 Availability: Full-time (40–50 hrs/week) | Open to long-term & enterprise AI projects 🔹 Trusted AI/ML Engineer with 8+ years of experience delivering scalable solutions for startups and SaaS I am a Full-Stack AI/ML Developer specializing in AI integrations, backend systems, and scalable web applications. HIGHLIGHTS: ---------------- 6+ years as a Full-Stack AI/ML Developer Focus on performance-driven, scalable, SEO-optimized applications AI & LLM EXPERTISE: ---------------------------- Synthetic dataset generation & LLM evaluation frameworks LLM deployment on AWS, GCP, RunPod AI Agents & Voice Bots (CrewAI, AutoGen, Polly, Deepgram) Open-source LLM deployment using vLLM/TGI (SkyPilot) CORE SKILLS ----------------- Backend: Python (FastAPI, Flask, Django), APIs, automation Full Stack: MERN (MongoDB, Express, React, Node.js) Data & Automation: Web scraping, crawling, bots, data pipelines DevOps: Docker, Kubernetes, CI/CD (AWS, Azure, GCP) APIs: OpenAI, Stripe, Telegram, Binance, BetFair, OddsJam SERVICES --------------- ⚙️ Automation & Workflow Systems ⚙️ Trading Bots & Strategy Automation ⚙️ AI Dashboards & Data Visualization ⚙️ Custom Scripts & API Development ⚙️ Web Scraping & Data Extraction AI SPECIALIZATIONS: ---------------------------- AI & Voice Agents (CrewAI, AutoGen) LLM Fine-tuning (LoRA, QLoRA, RLHF, DPO) Open-source LLMs (LLaMA 3, Mistral, Mixtral) Fast inference (vLLM, TGI, DeepSpeed) RAG pipelines & vector search Prompt engineering & multi-agent systems I focus on building reliable, production-ready systems and long-term client partnerships by consistently delivering beyond expectations. Let’s discuss how I can add value to your project.

AI Engineer specializing in Generative AI, Large Language Models (LLMs), multi-agent systems, machine learning, and computer vision. I help companies design and build 𝗟𝗟𝗠 applications, 𝗥𝗔𝗚 knowledge systems, 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀, 𝗺𝘂𝗹𝘁𝗶-𝗮𝗴𝗲𝗻𝘁 workflows, and production-grade 𝗺𝗮𝗰𝗵𝗶𝗻𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 systems using Python and modern AI frameworks. With 24+ years of experience in 𝗰𝘆𝗯𝗲𝗿𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 and deep-tech software engineering, I focus on building AI systems that are 𝘀𝗲𝗰𝘂𝗿𝗲, 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲, and 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆. I currently lead AI engineering department at Apriorit, a software R&D company with 400+ engineers, where we develop advanced AI systems for Cybersecurity, Healthcare, and FinTech. What I Build 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 ↳ Predictive analytics and ML pipelines ↳ Fraud detection and anomaly detection ↳ Recommendation systems ↳ Data processing and feature engineering pipelines 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 / 𝗟𝗟𝗠 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 ↳ 𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹-𝗔𝘂𝗴𝗺𝗲𝗻𝘁𝗲𝗱 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 (RAG) knowledge systems ↳ 𝗟𝗟𝗠-𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝗮𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁𝘀 and enterprise AI 𝗰𝗵𝗮𝘁𝗯𝗼𝘁𝘀 ↳ 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀 and 𝗺𝘂𝗹𝘁𝗶-𝗮𝗴𝗲𝗻𝘁 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 for complex workflows ↳ 𝗟𝗟𝗠 𝗳𝗶𝗻𝗲-𝘁𝘂𝗻𝗶𝗻𝗴 and evaluation ↳ Private / 𝗼𝗻-𝗽𝗿𝗲𝗺𝗶𝘀𝗲 𝗟𝗟𝗠 𝗱𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁𝘀 for sensitive environments 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 ↳ OCR and document understanding ↳ Object detection and tracking ↳ Image classification and segmentation ↳ Medical imaging and industrial automation 𝗦𝗲𝗰𝘂𝗿𝗲 𝗔𝗜 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 ↳ Privacy-preserving AI architectures ↳ Adversarial ML defense ↳ AI-driven cybersecurity analysis 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 ↳ Generative AI / LLM • OpenAI, GPT-4, Llama 3, Mistral • LangChain, LlamaIndex • Hugging Face Transformers ↳ Machine Learning • Python, PyTorch, TensorFlow • Scikit-learn, Pandas ↳ Vector Search & RAG • Pinecone, Milvus, FAISS • Embeddings and semantic search ↳ Infrastructure • Docker, Kubernetes • AWS, GCP, Azure ↳ Computer Vision • OpenCV • YOLO • Vision Transformers 𝗦𝗲𝗹𝗲𝗰𝘁𝗲𝗱 𝗔𝗜 𝗨𝘀𝗲 𝗖𝗮𝘀𝗲𝘀 • 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁 Secure RAG system enabling employees to search and interact with thousands of internal documents without data leakage. • 𝗙𝗶𝗻𝗧𝗲𝗰𝗵 𝗙𝗿𝗮𝘂𝗱 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 𝗦𝘆𝘀𝘁𝗲𝗺 Real-time machine learning platform detecting fraudulent transactions across high-volume payment streams. • 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗗𝗶𝗮𝗴𝗻𝗼𝘀𝘁𝗶𝗰 𝗦𝘂𝗽𝗽𝗼𝗿𝘁 3D medical image processing system supporting diagnostic analysis with ~95% accuracy. • 𝗠𝘂𝗹𝘁𝗶-𝗔𝗴𝗲𝗻𝘁 𝗔𝗜 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 AI agents coordinating information retrieval, analysis, and automated task execution within enterprise systems. 𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗪𝗼𝗿𝗸 𝗪𝗶𝘁𝗵 𝗠𝗲 • Security-first architecture (GDPR / HIPAA-ready) • Enterprise-grade engineering experience • Deep expertise in AI infrastructure, optimization, and system performance I focus on building AI systems that are reliable, scalable, and ready for real-world use. 𝘐𝘯𝘷𝘪𝘵𝘦 𝘮𝘦 𝘵𝘰 𝘺𝘰𝘶𝘳 𝘫𝘰𝘣 𝘧𝘰𝘳 𝘢 𝘱𝘳𝘦𝘭𝘪𝘮𝘪𝘯𝘢𝘳𝘺 𝘤𝘰𝘯𝘴𝘶𝘭𝘵𝘢𝘵𝘪𝘰𝘯 𝘵𝘰 𝘥𝘪𝘴𝘤𝘶𝘴𝘴 𝘺𝘰𝘶𝘳 𝘳𝘰𝘢𝘥𝘮𝘢𝘱 𝘢𝘯𝘥 𝘧𝘦𝘢𝘴𝘪𝘣𝘪𝘭𝘪𝘵𝘺.

Most AI projects don't fail because of bad code — they fail because nobody checked if the results can actually be trusted. I build and validate intelligent systems: agentic pipelines, LLM-powered workflows, and the evaluation frameworks that make them safe to act on. My work sits at the intersection most engineers avoid: where technical results meet real-world accountability. Recently, my focus has expanded into agentic AI engineering and AI security — designing multi-agent systems with built-in quality loops, hallucination detection, bias auditing, and compliance filters. I don't just build pipelines; I build pipelines that check themselves. I've worked across computer vision, NLP, OCR pipelines, and clinical/academic research — including cell classification, ASR data, and publication-ready statistical analysis. Where I add the most value: — You need an agentic system that produces outputs you can actually trust and act on — You have a model or dataset and need to know if it's reliable before it goes anywhere near a decision — You're writing a thesis, paper, or clinical report and need analysis that survives peer review — Your stakeholders need to understand what the AI actually found — and what it didn't — You need an honest assessment of where your AI system could fail, be gamed, or cause harm I'll tell you honestly if ML isn't the right solution for your problem. That's rarer than it sounds. Core skills: Agentic AI Engineering · LLM Systems & Evaluation · AI Security & Governance · Hallucination & Bias Detection · ML Validation & Evaluation · Healthcare & Academic Data Analysis · NLP · Computer Vision · Statistical Analysis · AI Risk Assessment · Research Reporting Tools & Technologies Agentic & LLM Systems: LangGraph · LangChain · Groq · OpenAI · Pydantic · FastAPI AI Security & Governance: Hallucination detection · Bias auditing · Compliance filtering · Adversarial input testing Validation & Evaluation: MLflow · Weights & Biases · Arize AI · SHAP · LIME · Fairlearn · Great Expectations ML & Deep Learning: Python · PyTorch · TensorFlow · Scikit-learn · Keras Data & Statistics: R · IBM SPSS · Pandas · NumPy · SciPy · Statsmodels NLP & Computer Vision: Hugging Face Transformers · NLTK · OpenCV Data Quality & Pipelines: Great Expectations · DVC · Pandas Profiling Visualization & Reporting: Power BI · Matplotlib · Seaborn · Plotly Cloud & Infrastructure: AWS · GCP · Google BigQuery · Azure

I help startups, enterprises, and research-driven organizations harness the power of AI, data science, and strategic thinking to solve complex problems and unlock measurable business value. I know deep learning like the back of my hand, and have taught deep learning at the graduate level at Columbia University. With over 10 years of experience across healthcare, finance, pharma, education, aerospace, and defense, I bring deep technical expertise and C-level strategic insight to every project. Whether you're building a business case for funding, designing an AI product, or scaling data infrastructure, I’ll help you move with clarity and confidence. 💡 What I Do: ✅ AI Strategy & Product Development • Generative AI modeling (NLP, GPT, transformer architectures) • AI solution design: from ideation to deployment • Executive coaching for AI adoption (CTO, CxO-level) • AI curriculum & corporate upskilling programs ✅ Business Plans & Grant Writing • Startup business plan development • Investor-ready pitch decks & financial modeling • Grant writing for NIH, NSF, SBIR/STTR, foundations • Research proposal editing and compliance reviews ✅ Data Science & R Programming • Advanced statistical modeling in R (GLMs, time series, mixed models) • Reproducible research using R Markdown & Jupyter • Data visualization (ggplot2, plotly) & exploratory analysis • R curriculum design for universities or bootcamps ✅ Distributed Computing for AI at Scale • Parallelized model training & big data workflows • Tools: Spark, Dask, Ray, MPI, DeepSpeed • Optimization for research and production environments ⚙️ Tools & Technologies Python, R, Docker, Bash, PyTorch, Hugging Face, LightGBM, XGBoost, TensorFlow, DeepSpeed, FairScale, Jupyter, RStudio, Git, Power BI, Tableau 🧠 Why Clients Work With Me • Proven Impact: Resolved a $3M systems issue; helped clients generate >$40M in revenue • Strategic Thinking: Fractional CTO experience, startup mentor, and executive advisor • Communication: Certified in Emotional and Social Intelligence—clarity, collaboration, and trust matter • Top-Tier Talent: Expert-Vetted on Upwork—top 1% of talent on the platform Let’s work together to bring your vision to life—whether that’s building a fundable business case, launching a scalable AI product, or empowering your team with data fluency. Reach out today to discuss your goals. I’d love to help. Skills List: • Machine Learning • Deep Learning • Computer Vision • Natural Language Processing (NLP) • Generative AI • Large Language Models (LLMs) • Model Deployment • Data Engineering • MLOps • Python • PyTorch • TensorFlow • OpenCV • AWS • GCP • Azure • Docker • Kubernetes • Data Analysis • Data Visualization • Predictive Modeling • Statistical Analysis • Big Data • Data Mining • Time Series Analysis • ETL Pipelines • SQL • Tableau • Power BI • Chatbot Development • AI Integration • AI Strategy • Automation Solutions • AI Consulting • AI Model Training • AI Model Evaluation • Team Leadership • Mentorship • Cross-Functional Collaboration • Client Communication • Project Management • Agile Methodologies • Problem Solving • Adaptability

I build AI automations and RAG chatbots that actually work in production — not just demos. Currently working with Adaptify (Norway) building full-stack AI systems for international clients, including RAG chatbots, n8n automation pipelines, and LLM-powered tools — deployed on real infrastructure (Supabase, Vercel, FastAPI). What I build for clients: — RAG chatbots that answer from your documents, PDFs, or knowledge base with no hallucinations — n8n automation workflows that connect your tools, reduce manual work, and run reliably 24/7 — AI agents for customer support, lead qualification, and internal operations — Social media automation: AI-generated posts, images, and automated DM replies — LLM fine-tuning on your domain-specific data (medical, legal, technical) My production stack: LangChain · OpenAI / LLaMA · n8n · Pinecone · Supabase · FastAPI · React · Vercel I don't vibe-code solutions. I architect systems with proper error handling, fallback logic, and deployment that doesn't break after handoff. If you've been burned by a freelancer who delivered a demo but not a working product — let's talk.

🚀 Looking for an AI developer who can build production-ready AI solutions—not just prototypes? I help startups, SaaS companies, and growing businesses automate workflows, build AI-powered products, and deploy scalable backend systems using OpenAI, ChatGPT, AI Agents, FastAPI, Python, and modern LLM technologies. Whether you need an AI assistant, workflow automation, document processing, or a complete AI SaaS product, I can take your idea from concept to production. What I Build 🤖 AI Agents & Automation • Custom AI Agents • Multi-Agent Systems • AI Workflow Automation • ChatGPT Applications • OpenAI API Integration • MCP Servers • n8n Automation • AI Assistants • AI Copilots 📄 Document AI & OCR • Invoice Processing • OCR Systems • PDF Data Extraction • Receipt Parsing • Bank Statement Analysis • Intelligent Document Processing • AI Data Validation 🧠 LLM Applications • RAG Applications • Enterprise Knowledge Base Chatbots • Vector Search • LangChain • Pinecone • FAISS • ChromaDB • Prompt Engineering 🌐 Backend Development • Python • FastAPI • REST APIs • PostgreSQL • Docker • AWS • Google Cloud • Production Deployment Selected Projects ✅ AutoCA – AI Copilot for Chartered Accountants Built an AI-powered platform that automates invoice processing, OCR, GST reconciliation, bank statement parsing, and Tally export, significantly reducing manual accounting work. ✅ Multi-Modal WhatsApp AI Agent Developed an AI assistant capable of understanding text, voice notes, images, and PDF documents with intelligent workflow automation. ✅ AI Trading Assistant Created AI-powered trading automation with real-time market analysis, LLM-based insights, and automated workflows. Why Work With Me? ✔ Production-ready solutions ✔ Clean, scalable architecture ✔ Fast communication ✔ Business-focused development ✔ Long-term support ✔ Quality over quick hacks 📩 Let’s discuss your project! Whether you're building an AI SaaS, automating your workflow, or just want a proof of concept — I can help you go from idea to deployment.

LLMs | RAG | MCP | Chatbot | Vector DB | LangChian | Stable Diffusion | ETL | OCR | Computer Vision | Gemini | Open AI | MultiAgent | Langgraph | Crew.ai | NLP | Llama | ChatGPT | Mistral | Azure AI | Image Annotation I am an AI/ML/ Computer Vision specialist with over 08+ years of experience.  Full-Stack Development: JavaScript, TypeScript, Node.js, React, Next.js, Angular, Express.js, Vue.js, Svelte, MongoDB, PostgreSQL, MySQL, MariaDB, SQLite, RESTful APIs, GraphQL, Apollo, WebSockets Frontend Development: HTML5, CSS3, JavaScript, TypeScript, Tailwind CSS, Bootstrap, SASS, LESS, React, Angular, Vue.js, Svelte, jQuery, Material-UI, Chakra UI Backend Development: Python, FastAPI, Node.js, Express.js, Django, Flask, GraphQL, Java, Spring Boot, C#, .NET, Ruby on Rails, PHP, Laravel, Go, Rust Computer Vision - OpenCV, TensorFlow, PyTorch, CNNs, object detection (YOLO, Faster R-CNN),ONNX, TensorRT 𝐓𝐡𝐞 𝐦𝐚𝐢𝐧 𝐬𝐞𝐫𝐯𝐢𝐜𝐞𝐬 𝐈 𝐩𝐫𝐨𝐯𝐢𝐝𝐞: ✔️ Machine learning ✔️ Trading Bots development ✔️ Fine-Tuning ✔️ Web services ✔️ Python programming ✔️ OpenAI API integration ✔️ GPT 4 training and integration ✔️ Web-scrapping ✔️ Chatbot development using GPT ✔️ Web-development (mainly back-end) ✔️ Computer vision ✔️ Natural language processing ✔️ Desktop applications development ✔️ Transfer Learning ✔️ AI models training ✔️ Web Services