EXPERT-VETTED (TOP 1%) | 100% JOB SUCCESS Most AI projects look finished in a demo, then break in production. I build production-grade software. That means it holds up with real users : Scales under real traffic, not just a demo Secure and tested, not "looks fine, ship it" Clean architecture your next hire can build on Costs you can predict before you commit 25 years building software. Now my team and I direct AI agents across the full build and review every line before it ships. Fast, but not vibe coding. I AM A FIT IF YOU Have an idea but no technical leadership to run the build Have a vibe-coded app generating MRR but need a stable foundation under it Started building but need architecture and senior oversight to finish Want to use AI without losing control of your codebase REAL RESULTS A traditional build was quoted at $1.2M. My team and I delivered it for $95K, same scope. Replaced a client's manual spreadsheet process with a web app. Revenue up 71%. Architecture that held through 500% traffic growth 79M pricing calculations a month, in production WHAT WORKING WITH ME LOOKS LIKE Full team: I bring engineers, a product owner, a designer, and QA. I lead the architecture. AI executes. Nothing ships without senior review. Advisory: I come in as your technical advisor. Same judgment, scoped to what you need. Either way, there's a senior engineer on it from the first call to the final release. RECENT PROJECTS Automotive SaaS: A real-time pricing platform running 79M price combinations a month 24/7. AI Knowledge Platform: A voice-first knowledge platform that works offline at sea. Captures what senior crews know and makes it searchable for the next crew. Live broadcast with AI: A multi-agent engine that writes and narrates stories live, adapting to the audience in real time. TECH STACK AI/ML: LLMs, RAG, vector search, multi-agent orchestration Backend: Python, Node.js, TypeScript Frontend: React, React Native, Unity Cloud: AWS, Docker, Kubernetes Data: SQL, NoSQL, vector DBs BEFORE YOU COMMIT TO ANYTHING Book 30 minutes with me directly. Honest feedback on feasibility, realistic cost, and fit. No pitch. No commitment. NDA first.

🎯 Top Rated Plus AI Engineer ✅ $200K+ Earned | 50 Jobs | 4,700+ Hours ✅ 100% Job Success Score ✅ AI Agents | RAG Systems | AWS AI | Full-Stack AI SaaS I build production-grade AI agents, RAG systems, LLM applications, AI chatbots, document intelligence pipelines, and AWS-based AI platforms using LangGraph, LangChain, OpenAI, AWS Bedrock, FastAPI, PostgreSQL/pgvector, Qdrant, OpenSearch, Next.js, and React. I help SaaS companies, startups, agencies, and enterprise teams turn AI ideas into reliable production systems, not just demos, prompt wrappers, or basic chatbots. 𝐖𝐇𝐀𝐓 𝐈 𝐁𝐔𝐈𝐋𝐃: ✓ AI Agents & Agentic Workflows LangGraph/LangChain agents with tool calling, memory, API integrations, human approval flows, structured outputs, and workflow automation. ✓ RAG Systems & Knowledge Assistants RAG over PDFs, Excel files, websites, internal docs, databases, CRMs, support tickets, and knowledge bases with vector search, hybrid retrieval, reranking, citations, and metadata filtering. ✓ AI Chatbots & Customer Support Agents AI chatbots for SaaS, e-commerce, healthcare, finance, education, and internal operations with retrieval, SQL/database lookup, intent classification, escalation flows, guardrails, and analytics. ✓ Document AI & Data Extraction OCR and structured extraction using AWS Textract, AWS Bedrock, OpenAI, S3, validation logic, custom schemas, and human review workflows. ✓ AWS AI / Cloud Architecture Scalable AI platforms using AWS Bedrock, SageMaker, Lambda, ECS/Fargate, EKS, Step Functions, S3, RDS/PostgreSQL, OpenSearch, DynamoDB, API Gateway, and Terraform. ✓ Full-Stack AI SaaS Development End-to-end AI products using FastAPI, Python, Node.js, Next.js, React, PostgreSQL, MongoDB, Redis, Docker, Kubernetes, Supabase, Stripe, and CI/CD. 𝐂𝐎𝐑𝐄 𝐒𝐓𝐀𝐂𝐊: ► AI / LLMs: OpenAI, GPT-4/4o, Claude, Gemini, AWS Bedrock, LLaMA, Mistral, LangGraph, LangChain, LlamaIndex ► RAG / Search: pgvector, Qdrant, Pinecone, ChromaDB, OpenSearch, Elasticsearch, hybrid search, reranking, citations ► Backend: Python, FastAPI, Django, Flask, Node.js, Express.js, NestJS ► Frontend: Next.js, React, TypeScript, TailwindCSS ► Cloud / DevOps: AWS, GCP, Azure, Docker, Kubernetes, ECS, EKS, Lambda, Step Functions, Terraform, CI/CD ► Databases: PostgreSQL, MongoDB, Redis, MySQL, DynamoDB, Neo4j, Memgraph ► Voice AI: Whisper, Deepgram, LiveKit, WebRTC, STT/TTS pipelines ► LLMOps: Langfuse, LangSmith, eval pipelines, latency monitoring, cost tracking, output validation 𝐁𝐄𝐒𝐓 𝐅𝐈𝐓 𝐏𝐑𝐎𝐉𝐄𝐂𝐓𝐒 I am a strong fit if you need: • A production RAG system, not a basic chatbot • An AI agent that uses tools, APIs, memory, and workflows • An AWS-based AI platform or document processing pipeline • A full-stack AI SaaS MVP with backend, frontend, database, and deployment • AI chatbot development with retrieval, guardrails, analytics, and escalation flows • LLM evaluation, citations, tracing, latency optimization, and production reliability Invite me to your project if you need a senior AI engineer who can own the architecture, backend, cloud deployment, and production reliability of your AI system.

Former NASA engineer and honors graduate of Harvard's CS department here to help you create your AI, computer vision, real-time 3D graphics, or machine learning application in the simplest, most cost-effective and efficient manner possible. I primarily consult to busy entrepreneurs, researchers and new ventures, and will work with you directly to define your requirements, choose optimal technologies, establish deadlines, and then develop the code to your specifications, all with minimal oversight and time-investment on your part. Take your project quickly from start to finish, working one-on-one with an established specialist with a dedicated and professional work ethic, reputable credentials, a top-tier educational background, and a roster of happy clients. Get your project done right, the first time. --- Service Description End-to-end software application development, with a focus on deep learning and computer vision applications, generative AI, networked and/or interactive real-time 3D graphics, general machine learning, multi-way videoconferencing, and GPU performance optimization (HPC / GPGPU). Linux / Windows / Android / AWS (since 2012) Feel free to contact me directly at 'camc at terescape dot com' --- Skills: deep learning, computer vision, machine learning, diffusion models, GANs, GNNs, NeRF, CUDA, WebGL2, OpenGL, C++, Dlib, openCV, 3D, image processing, OpenGL ES, WebGL, WebRTC, JavaScript, algorithms, Java, Android, Kinect, Amazon Web Services (AWS), Geographic Information Systems (GIS), optimization, DirectCompute, DirectX, shaders, HLSL, GLSL, Python, TensorFlow, PyTorch, AI, artificial intelligence, NFT, generative NFT, synthetic data, Stable Diffusion, ControlNet, Hugging Face, Llama, ViT, Transformers, model fine-tuning ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ for SEO (my apologies): Graph Neural Networks, Graph Neural Network, GNN, GNNs, GNN's, Generative Adversarial Network, Generative Adversarial Networks, GAN, GANs, GAN's, NeRF, Neural Radiance Field, A.I., shader, AWS, GIS, WebGL 2, WebGL2.0, WebGL 2.0, threejs, 3D Vision, CV, realtime, real-time, realtime 3D graphics, real-time 3D graphics, synthetic data, Llama, Llama-Vision, Llama-Vision-Instruct, ViT, OpenClaw. Note: I am currently seeking opportunities in bioinformatics / chemoinformatics related to spatial computing / 3D. Any leads very much appreciated!: camc at terescape dot com

I design and build production-grade AI systems including LLM applications, AI agents, automation platforms, and AI-powered SaaS products. I'm a Top Rated Plus AI & Automation Engineer (Top 3% on Upwork) working with founders, startups, and teams that need someone who can architect and deploy AI systems end-to-end from idea to production. My focus is building real AI products that run reliably in production, not experimental prototypes or isolated prompt demos. AI Systems I Build • LLM-powered applications and AI copilots • Retrieval-Augmented Generation (RAG) platforms • AI agents and multi-agent workflows • AI chatbots and conversational interfaces • AI-powered SaaS MVPs • AI automation systems and internal tools These systems integrate AI with real data, APIs, and business workflows so they create measurable operational value. AI Frameworks & Tools I work with modern AI frameworks and agent architectures including: • LangChain & LangGraph • CrewAI and AutoGen multi-agent systems • Claude (Claude Code) and OpenAI models • RAG pipelines and vector databases • Python (FastAPI / backend APIs) • AI automation using n8n, Make, and Zapier I specialize in agent-based architectures where multiple AI agents collaborate to complete complex tasks. Engineering & Deployment AI systems only matter if they run reliably. I build systems that are production-ready, including: • scalable backend services • API-first architectures • cloud deployment and monitoring • automation and orchestration layers The goal is always stable systems that can scale as the product grows. Automation & Integrations I also build AI-driven automation systems using tools like n8n, Make, and Zapier, often combined with custom Python services to create maintainable automation pipelines. Background Before focusing on modern AI systems, I worked in machine learning and data science, including at the Munich Center for Machine Learning, building predictive and decision-support systems. If you're building an AI product, LLM application, automation platform, or AI-powered SaaS system, I can help design and deploy the architecture so it works reliably in production. Thank you for your time!

𝐏𝐲𝐭𝐡𝐨𝐧 • 𝐃𝐣𝐚𝐧𝐠𝐨 • 𝐅𝐥𝐚𝐬𝐤 • 𝐅𝐚𝐬𝐭𝐀𝐏𝐈 • 𝐑𝐞𝐚𝐜𝐭.𝐉𝐒 • 𝐀𝐧𝐠𝐮𝐥𝐚𝐫.𝐉𝐒 • 𝐍𝐞𝐱𝐭.𝐉𝐒 • 𝐍𝐨𝐝𝐞.𝐣𝐬 • 𝐕𝐮𝐞.𝐉𝐒 • 𝐓𝐞𝐧𝐬𝐨𝐫𝐅𝐥𝐨𝐰 • 𝐂𝐡𝐫𝐨𝐦𝐞 𝐄𝐱𝐭𝐞𝐧𝐬𝐢𝐨𝐧𝐬 • 𝐒𝐞𝐜𝐮𝐫𝐞 𝐀𝐏𝐈 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐀𝐛𝐨𝐮𝐭 𝐌𝐞:- I am a problem-solver at heart and a builder by trade, blending the worlds of AI, machine learning, and full-stack web development to craft next-gen digital experiences. With a foundation rooted in Python and a passion for scalable intelligence, I architect solutions that aren't just smart, they’re transformative. From building AI models that see, understand, and predict, to launching full-stack platforms that integrate those models in real-time, I thrive at the intersection of code, creativity, and cutting-edge tech. Whether you need a smart Chrome extension, an AI-powered SaaS platform, or a custom deep learning pipeline, I bring the tools, mindset, and execution to get it done. 𝐂𝐨𝐫𝐞 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐭𝐢𝐞𝐬 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 & 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 Custom Model Development: Deep learning and ML using TensorFlow, PyTorch, Hugging Face Computer Vision: Real-time image & video processing, object detection, frame-rate optimization Smart Data Pipelines: Automated data collection, annotation, pre-processing, and feature extraction 𝐅𝐮𝐥𝐥-𝐒𝐭𝐚𝐜𝐤 𝐖𝐞𝐛 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 Frontend: React, Angular, Vue, Tailwind, Bootstrap, TypeScript, Redux Backend: Python, Django, FastAPI, Flask, Node.js, Laravel, Symfony Databases: PostgreSQL, MongoDB, MySQL API Integration: Secure RESTful APIs, real-time sync, token-based auth 𝐂𝐡𝐫𝐨𝐦𝐞 𝐄𝐱𝐭𝐞𝐧𝐬𝐢𝐨𝐧 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠:- Custom extensions (Manifest V2/V3) using JS or modern frameworks In-browser AI tools, automation, data scraping, UI enhancements 𝐃𝐞𝐯𝐎𝐩𝐬 & 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 Cloud: AWS, Heroku, Vercel, Netlify, Azure CI/CD: Docker, Jenkins, GitHub Actions, Nginx Version Control: Git, Bitbucket, SVN 𝐍𝐨𝐭𝐚𝐛𝐥𝐞 𝐖𝐢𝐧𝐬 Built computer vision AI that analyzed live video feeds across multiple industries Launched full-stack platforms with real-time AI inference on the front-end Developed automation systems that reduced manual work by 60% Engineered Chrome extensions with built-in AI — boosting productivity and scraping efficiency 𝐖𝐡𝐚𝐭 𝐒𝐞𝐭𝐬 𝐌𝐞 𝐀𝐩𝐚𝐫𝐭 AI Meets UX: I bridge the gap between back-end intelligence and intuitive front-end design — bringing ML predictions to the browser in real-time. Builder’s Mentality: I don't just ship code. I craft solutions that are scalable, user-focused, and business-ready. Security-Driven: From encrypted user flows to secure APIs — data integrity is always top of mind. 𝐓𝐨𝐨𝐥𝐬 & 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬 𝐈 𝐖𝐨𝐫𝐤 𝐖𝐢𝐭𝐡 𝐀𝐈/𝐌𝐋: TensorFlow, PyTorch, Hugging Face, Scikit-learn, OpenCV, Pandas, NumPy, OpenAI 𝐃𝐞𝐯𝐎𝐩𝐬: Docker, Nginx, Jenkins, Heroku 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐓𝐨𝐨𝐥𝐬: Asana, Trello, OpenProject, Jira 𝐄𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭𝐬: Linux, macOS, Windows 𝐋𝐞𝐭’𝐬 𝐁𝐮𝐢𝐥𝐝 𝐭𝐡𝐞 𝐅𝐮𝐭𝐮𝐫𝐞 𝐓𝐨𝐠𝐞𝐭𝐡𝐞𝐫 I am always excited to collaborate on projects that push the boundaries of what AI and software can do, whether you're building a smart SaaS tool, automating workflows, or launching a product from scratch. 𝐋𝐞𝐭’𝐬 𝐜𝐨𝐧𝐧𝐞𝐜𝐭 𝐢𝐟 𝐲𝐨𝐮’𝐫𝐞 𝐰𝐨𝐫𝐤𝐢𝐧𝐠 𝐨𝐧: AI-powered web applications Custom ML model development and deployment AI Chatbot, Agent and Trading Solution building Chrome extension development Data-driven dashboards and analytics Intelligent automation systems Together, we can turn innovative ideas into intelligent, high-impact products.

I help startups and businesses build 𝐒𝐚𝐚𝐒 𝐌𝐕𝐏𝐬 and 𝐀𝐈 𝐌𝐕𝐏𝐬 that turn ideas into scalable, production-ready products. With 6+ years of backend development experience and 13+ successful projects delivered on Upwork, I specialize in developing AI-powered SaaS applications using Python, FastAPI, OpenAI, LangChain, vector databases, and modern cloud infrastructure. Whether you're validating a new startup, launching the first version of your SaaS product, or integrating AI into an existing platform, I build reliable applications that are designed for rapid iteration, long-term scalability, and real business impact. 𝐈 𝐝𝐨𝐧'𝐭 𝐣𝐮𝐬𝐭 𝐛𝐮𝐢𝐥𝐝 𝐬𝐨𝐟𝐭𝐰𝐚𝐫𝐞 : I help founders ship faster, validate product ideas, and create technical foundations that support future growth. ### What I can help you build: ✔ 𝐒𝐚𝐚𝐒 𝐌𝐕𝐏 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 End-to-end SaaS MVP development for startups, including authentication, multi-tenancy, dashboards, admin panels, user management, subscription billing, payment integrations, REST APIs, cloud deployment, and scalable backend architecture. ✔ 𝐀𝐈 𝐌𝐕𝐏 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 Rapid development of AI MVPs using OpenAI, Claude, Gemini, and modern LLM frameworks. Whether you're building an AI startup or adding intelligent features to your product, I can help you launch quickly without compromising scalability. ✔ 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 & 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬 Autonomous AI agents, multi-agent systems, tool-calling workflows, AI automation pipelines, reasoning agents, API-connected agents, human-in-the-loop systems, and business process automation. ✔ 𝐑𝐀𝐆 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 & 𝐊𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 𝐀𝐈 Retrieval-Augmented Generation (RAG) systems, document intelligence platforms, PDF chat applications, semantic search, embeddings, vector databases, internal knowledge assistants, enterprise search, and AI-powered knowledge management systems. ✔ 𝐎𝐩𝐞𝐧𝐀𝐈 & 𝐋𝐋𝐌 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 Custom GPT applications, AI copilots, conversational AI systems, OpenAI API integrations, Claude and Gemini integrations, prompt engineering, structured outputs, Responses API, Agents SDK, and production-grade LLM workflows. ✔ 𝐀𝐈 𝐒𝐚𝐚𝐒 & 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 Scalable backend systems using Python, FastAPI, Django, PostgreSQL, Redis, Celery, REST APIs, WebSockets, Docker, AWS, Azure, and Supabase for AI SaaS products and startup MVPs. ✔ 𝐀𝐈 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐟𝐨𝐫 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬𝐞𝐬 AI-powered workflow automation for customer support, lead qualification, CRM automation, document processing, reporting, internal productivity tools, and operational workflows. 𝐑𝐞𝐜𝐞𝐧𝐭 𝐒𝐚𝐚𝐒 𝐌𝐕𝐏 & 𝐀𝐈 𝐌𝐕𝐏 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 • AI-powered Commerce Intelligence SaaS Platform for ecommerce brands • AI-Powered Property Management Platform • AI Tax Assistant with document-aware responses • AI-powered Learning Management System (LMS) • Multi-Agent Decision Support Platform using LLM orchestration 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤 OpenAI GPT • Claude • Gemini • LangChain • LlamaIndex • FastAPI • Django • Python • Pinecone • Weaviate • Qdrant • PostgreSQL • Redis • Docker • AWS • Azure • Supabase 𝐖𝐡𝐲 𝐜𝐥𝐢𝐞𝐧𝐭𝐬 𝐰𝐨𝐫𝐤 𝐰𝐢𝐭𝐡 𝐦𝐞 ✔ Startup-focused MVP development approach ✔ Production-ready backend architecture ✔ Strong AI and LLM engineering expertise ✔ Clean, scalable, and maintainable code ✔ Fast communication and reliable delivery ✔ Long-term technical partnership beyond MVP launch ⭐ 𝐂𝐥𝐢𝐞𝐧𝐭 𝐅𝐞𝐞𝐝𝐛𝐚𝐜𝐤 *"Great work and pleasant collaboration! I highly recommend Jahanzeb."* If you're looking for a developer to build your SaaS MVP, AI MVP, AI agent platform, RAG application, or production-ready AI SaaS product, let's discuss how we can turn your idea into a scalable solution that delivers value from day one.

I build AI systems that actually run in production, not just demos. Most clients come to me after hitting the same issues: RAG not accurate, agents unreliable, or AI pipelines that don’t scale. That’s where I step in. I’m a Senior ML and LLM Engineer (10+ years), recently working at NexGen Cloud and Holi GmbH, where I built: ☑️Enterprise AI platforms serving 100+ clients with 99.9% uptime ☑️RAG systems (multimodal, hybrid search, real-time pipelines) ☑️AI agents connected to APIs, tools, and business workflows ☑️High-performance inference systems (sub-200ms latency, cost reduced ~40%) What I can help you with: ☑️RAG Systems (LLM + Data) PDFs, databases, internal tools → accurate retrieval (LangChain, LangGraph, pgvector, Pinecone) ☑️AI Agents & Automation Multi-step workflows, tool calling, OpenClaw-style systems ☑️LLM Systems (Production Ready) OpenAI, Claude, Gemini, structured outputs, evaluation, guardrails ☑️Backend + APIs FastAPI, Django, Node, async pipelines, Redis, scalable systems ☑️Search & Recommendations Hybrid search (BM25 + vector), ranking, personalization I’ve built systems handling 1000+ ML jobs/month and real traffic I focus on accuracy + reliability, not just “AI output” I design systems your team can actually maintain 𝐐𝐮𝐢𝐜𝐤 𝐰𝐢𝐧𝐬 𝐈’𝐯𝐞 𝐝𝐞𝐥𝐢𝐯𝐞𝐫𝐞𝐝 Improved search latency and relevance by 40% Increased recommendation quality by 35% Reduced AI infrastructure cost by up to 70% If you’re building something serious with AI and want it done properly, 𝐥𝐞𝐭’𝐬 𝐭𝐚𝐥𝐤.

I am a senior machine learning engineer at an AI real estate startup. I have had the pleasure of working in the machine learning space all 8 years of my professional career. I am passionate about building solutions that provide tangible value to the end customer. I began my AI career as a researcher at MIT Lincoln Laboratory. While at MIT LL, I worked on projects revolving around computer vision, NLP, and graph analytics. After MIT LL, I joined Avitas, GE venture as a computer vision engineer. Avitas flew drones around well pads and captured IR/RGB video and LiDAR data. My role was to develop solutions, mainly deep learning, to input the video/lidar data and facilitate inspection of the well pads. Baker Hughes bought Avitas. Shortly after, I joined FoxyAI as their first full time hire. Currently at FoxyAI, I oversee all AI development. Programming: Python, JavaScript/HTML/CSS, Java, Matlab Machine Learning: PyTorch, TensorFlow, Keras, Scikit-learn, Caffe Computer Vision: OpenCV, Pillow, Image Generation (CLIP, DALLE, Dreambooth), YOLO, Mask-RCNN, LiDAR, 3D Reconstruction, SWIN-Transformer, OCR, UNET Data Science: Numpy, Pandas, Scipy, Matplotlib, Seaborn Misc: various AWS tools, Docker, MongoDB, FastAPI, Django, Flask, Git, Jira, UNIX tools/admin

🚀 Transform Your Business with Generative AI and Intelligent Automation 🚀 Hello, and thank you for visiting my profile! I am a Generative AI Expert and Machine Learning Engineer with over 8 years of experience in developing and deploying state-of-the-art AI solutions. My mission is to empower businesses with cutting-edge technology that drives growth, automates processes, and solves complex problems. Here’s how I can help you: 🌐 Generative AI-Powered Chatbots Design and develop intelligent chatbots using advanced natural language processing (NLP) techniques and generative AI models (GPT, LLaMA, BERT). Integrate chatbots across platforms (Web, Mobile, Social Media, Voice Assistants) to provide a seamless, user-centric experience. Customize conversational flows using frameworks like MS Bot Framework, Power Virtual Agents, and Voiceflow. 📊 Advanced Machine Learning Solutions Develop and optimize machine learning models (including Transformers, Deep Neural Networks, Random Forest, and SVM) to tackle complex business challenges. Implement state-of-the-art Generative AI models (DALL-E, Stable Diffusion, GPT-4) for content creation, customer support, personalized recommendations, and more. Fine-tune pre-trained models for specific business use cases, ensuring top-tier performance. ⚡ AI Automation and Process Optimization Automate workflows using Make.com, N8N, Zapier, Twilio, Tray.io, Pipedream, and Bardeen, minimizing manual efforts and maximizing efficiency. Implement Low-Code/No-Code AI Automation with tools like Bubble.io, Retool, Appsmith, enabling fast and scalable solutions. Deploy Robotic Process Automation (RPA) with tools like UiPath, Blue Prism, and Automation Anywhere to streamline business operations. 🌍 Cloud-Based AI Solutions Deploy and manage AI solutions on cloud platforms, including AWS, Google Cloud, and Azure, ensuring scalability and reliability. Utilize Docker and Kubernetes for containerized deployment, maintaining robust, scalable, and secure AI environments. 📌 My Core Skills Include: Programming: Python, Java, C++, R Machine Learning: TensorFlow, Keras, PyTorch, Scikit-learn, NLTK, OpenCV, NumPy, Pandas, Matplotlib Cloud & Deployment: AWS EC2, Google Cloud, Microsoft Azure, Docker, Flask Automation: Make.com, N8N, Zapier, Twilio, Tray.io, Boomi, MuleSoft, Microsoft Power Automate, Correzoid, Openwhisk, Google Functions, AWS Lambda Voice Agents: Retell AI, Synthflow, Bland AI, Vapi, Voiceflow, ElevenLabs, Dasha RPA: UiPath, Automation Anywhere, Blue Prism, Robomotion 🚀 Ready to Elevate Your Business with AI? Whether you need a powerful generative AI model, a robust chatbot, or end-to-end workflow automation, I have the expertise to deliver. Let's connect and transform your vision into a reality. ✅ Contact me now to get started!

𝗔𝗜/𝗠𝗟 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 | 𝗦𝗶𝗴𝗻𝗮𝗹 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀 | 𝗥𝗲𝗮𝗹-𝗧𝗶𝗺𝗲 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 | 𝗩𝗼𝗶𝗰𝗲 𝗔𝗜 & 𝗖𝗼𝗻𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗔𝗜 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿 (𝗦𝗧𝗧/𝗧𝗧𝗦 + 𝗿𝗲𝗮𝗹-𝘁𝗶𝗺𝗲 𝗮𝗴𝗲𝗻𝘁𝘀) | 𝗪𝗲𝗯𝗥𝗧𝗖/𝗟𝗶𝘃𝗲𝗞𝗶𝘁 | 𝗦𝗜𝗣/𝗩𝗼𝗜𝗣 (𝗧𝘄𝗶𝗹𝗶𝗼/𝗔𝘀𝘁𝗲𝗿𝗶𝘀𝗸) I build 𝘃𝗼𝗶𝗰𝗲 𝗮𝗴𝗲𝗻𝘁𝘀 and 𝗹𝗼𝘄-𝗹𝗮𝘁𝗲𝗻𝗰𝘆 𝗮𝘂𝗱𝗶𝗼/𝘃𝗶𝗱𝗲𝗼 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 that actually hold up on real calls, in production, under load. If you're fighting latency, 𝗰𝗮𝗹𝗹 𝗱𝗿𝗼𝗽𝘀, 𝗡𝗔𝗧/𝗧𝗨𝗥𝗡 𝗶𝘀𝘀𝘂𝗲𝘀, 𝗿𝗼𝗯𝗼𝘁𝗶𝗰 𝘁𝘂𝗿𝗻-𝘁𝗮𝗸𝗶𝗻𝗴, 𝗿𝗲𝗰𝗼𝗿𝗱𝗶𝗻𝗴 𝗳𝗮𝗶𝗹𝘂𝗿𝗲𝘀 or a 𝘃𝗼𝗶𝗰𝗲 𝗮𝗴𝗲𝗻𝘁 that breaks the moment a real customer interrupts it, I can take it end-to-end and ship something stable. I focus on what client's measure, response latency, barge-in handling, RTT, jitter, packet loss, concurrency and cost per call. 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝘀𝘁𝗿𝗲𝗻𝗴𝘁𝗵𝘀 𝗶𝗻𝗰𝗹𝘂𝗱𝗲: Python, NumPy, SciPy, Pandas, Scikit-learn ML model development + evaluation Audio/signal processing pipelines Feature engineering + algorithm optimization Distributed computing concepts Real-time data handling & automation 𝗪𝗵𝗮𝘁 𝗜 𝗯𝗿𝗶𝗻𝗴 𝘁𝗼 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝘁𝗲𝗮𝗺𝘀: Research-backed algorithm design Strong mathematical and analytical foundation Production-aware AI/ML integration System-level thinking (latency, throughput, scalability) Clear documentation and reproducible workflows 𝗖𝗼𝗿𝗲 𝗖𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀 (𝗦𝘂𝗺𝗺𝗮𝗿𝘆): WebRTC / LiveKit Engineering SFU scaling strategies, TURN/STUN configuration, ICE tuning Optimizing jitter, packet loss, simulcast/SVC, bitrate adaptation Debugging join failures, audio/video inconsistencies, device issues 𝗠𝗲𝗱𝗶𝗮 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀: FFmpeg and OBS workflows for ingest → process → record → distribute Reliable multi-track recording and egress configurations Low-latency transcoding and optimized CPU/GPU usage 𝗜𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝘃𝗲 & 𝟯𝗗 𝗦𝘁𝗿𝗲𝗮𝗺𝗶𝗻𝗴: Unity, Unreal and Omniverse real-time streaming setups Digital twin + avatar pipelines with synchronized audio/video Ultra-low-latency input → render → stream loops 𝗔𝗜/𝗠𝗟 & 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻: Real-time OCR, text extraction, scene understanding Background removal, segmentation, enhancement Avatar/lip-sync triggers, real-time CV analytics ML inference integrated into WebRTC with strict latency control 𝗗𝗲𝘃𝗢𝗽𝘀 & 𝗢𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆: Dockerized deployments, environment separation Monitoring (jitter, RTT, CPU/mem, packet loss, TURN usage) Alerting, runbooks, load testing, failure-mode analysis 𝗖𝗼𝗿𝗲 𝗖𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀: WebRTC / LiveKit Engineering Media Pipelines Interactive & 3D Streaming AI/ML & Computer Vision DevOps & Observability 𝗠𝘆 𝗺𝗶𝘀𝘀𝗶𝗼𝗻: To create next-generation communication systems by merging AI/ML, signal processing and automation and to invent efficient algorithmic approaches that solve complex real-world challenges. Need a solid solution? Drop a text anytime