Hire the Best AI Inference Optimization Engineers

I design and build reliable AI, LLM, RAG, NLP, machine learning, deep learning, and automation systems where retrieval quality, execution logic, and workflow stability matter. What I Build: ✅ RAG Systems: hybrid semantic + BM25 retrieval, reranking, vector databases, evaluation pipelines ✅ LLM Agents: LangChain, LangGraph, LlamaIndex, multi-step AI agents, tool calling ✅ NLP Pipelines: text classification, summarization, sentiment analysis, embeddings, POS tagging ✅ Language Models: RNN, LSTM, Transformers, BLEU/ROUGE evaluation ✅ ML/DL Systems: classification, regression, clustering, forecasting, CNNs, GANs, XGBoost ✅ Computer Vision: image processing, feature extraction, object detection, YOLO, transfer learning ✅ Robotics & Autonomous Systems: ROS, robot perception, localization, navigation, sensor fusion ✅ Graph AI: Graph Neural Networks, knowledge graphs, graph embeddings, graphical models ✅ Probabilistic AI: Bayesian networks, stochastic systems, Markov models, variational inference ✅ HCI/BCI & Signal Processing: EEG preprocessing, FFT, filtering, feature extraction, ML classification ✅ AI Automation: n8n, Make, OpenAI, Claude, Grok, Ollama, API integrations ✅ AI Lead Generation: scraping, enrichment, data cleaning, LLM-powered research automation ✅ Research & Prototyping: LaTeX, Overleaf, literature review, academic writing, journal research Core Skills: Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Large Language Models, Generative AI, RAG, Vector Search, AI Agents, Prompt Engineering, Retrieval Evaluation, Data Preprocessing, Feature Engineering, Model Training, Hyperparameter Tuning, Transfer Learning, Reinforcement Learning, Explainable AI, Computer Vision, Robotics, ROS, Graph Neural Networks, Knowledge Graphs, Probabilistic Models, Stochastic Systems, Applied Linear Algebra, Optimization, Signal Processing, EEG Analysis, Human-Computer Interaction, Research Methodology. Tools: Python PyTorch TensorFlow Keras, Scikit-learn HuggingFace LangChain LangGraph LlamaIndex FAISS Pinecone ChromaDB, FastAPI OpenAI API Claude API Ollama Grok Jupyter Colab Anaconda PyCharm MATLAB ROS Overleaf LaTeX. I focus on practical AI systems that are testable, maintainable, and reliable after delivery. I clarify requirements early, check data quality, define evaluation criteria, and build workflows with validation, visibility, and error handling. If you need an AI prototype, RAG chatbot, NLP model, ML pipeline, research implementation, or automation workflow, send me your use case, and I’ll suggest a clear approach.

𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 & 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 | 8+ 𝗬𝗲𝗮𝗿𝘀 | 𝟭% 𝗼𝗳 𝗨𝗽𝘄𝗼𝗿𝗸 | 𝟭𝟬𝟬% 𝗝𝗼𝗯 𝗦𝘂𝗰𝗰𝗲𝘀𝘀. 🔴 I am in the 𝗧𝗼𝗽 𝟭% overall on Upwork 🔴 I am in the 𝗧𝗼𝗽 𝟰% overall on Stack Overflow ✅ 𝟏𝟎𝟎𝐊+ 𝐓𝐨𝐭𝐚𝐥 𝐞𝐚𝐫𝐧𝐢𝐧𝐠𝐬 ✅ 𝟏𝟎𝟎% 𝐉𝐨𝐛 𝐒𝐮𝐜𝐜𝐞𝐬𝐬 𝐑𝐚𝐭𝐞 ✅ 𝐓𝐨𝐩 𝐑𝐚𝐭𝐞𝐝 𝐏𝐥𝐮𝐬 ✅ 𝟏𝟎+ 𝐘𝐞𝐚𝐫𝐬 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 ✅ 𝟗𝟎+ 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 𝐂𝐨𝐦𝐩𝐥𝐞𝐭𝐞𝐝 ✅ 𝐀𝐖𝐒 𝐜𝐞𝐫𝐭𝐢𝐟𝐢𝐞𝐝 ✅ 𝟓𝟎𝐡𝐫𝐬/𝐰𝐞𝐞𝐤 𝐚𝐯𝐚𝐢𝐥𝐚𝐛𝐥𝐞 ✅ 𝟒+ 𝐲𝐞𝐚𝐫𝐬 𝐀𝐈/𝐌𝐋 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬 ✅ 𝐏𝐲𝐭𝐡𝐨𝐧 𝐜𝐞𝐫𝐭𝐢𝐟𝐢𝐞𝐝 𝐆𝐫𝐞𝐞𝐭𝐢𝐧𝐠𝐬! 𝐈 𝐚𝐦 𝐀𝐚𝐲𝐮𝐬𝐡, 𝐚 𝐬𝐞𝐚𝐬𝐨𝐧𝐞𝐝 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫 𝐰𝐢𝐭𝐡 𝐨𝐯𝐞𝐫 𝟖+ 𝐲𝐞𝐚𝐫𝐬 𝐨𝐟 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 𝐢𝐧 𝐰𝐞𝐛 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐬𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭. Working with LLMs for the past 8+ years and have good expertise in AI Agents development using langchain, LlamaIndex, and LLMs like Claude, GPT4o, Amazon Bedrock, Ollama 🔹 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 / 𝐕𝐨𝐢𝐜𝐞 𝐀𝐠𝐞𝐧𝐭𝐬: CrewAI, AutoGen, LangGraph, Semantic Kernel, OpenAI Swarm, OpenAI Assistants API, MCP, Vapi, Retell AI, Bland AI, Synthflow, LiveKit, Pipecat, Amazon Polly, Deepgram, ElevenLabs, Whisper, Rasa AI 🔹 𝐋𝐋𝐌 𝐅𝐢𝐧𝐞-𝐭𝐮𝐧𝐢𝐧𝐠: PEFT, LoRA, QLoRA, RLHF, DPO, ORPO, SFT, TRL with Unsloth, Axolotl, HuggingFace AutoTrain, SageMaker 🔹 𝐎𝐩𝐞𝐧-𝐒𝐨𝐮𝐫𝐜𝐞 𝐋𝐋𝐌𝐬: LLaMA 3, Mistral 7B, Mixtral 8×7B, Qwen, DeepSeek, Phi-3, Falcon, Gemma 🔹 𝐂𝐥𝐨𝐬𝐞𝐝 𝐋𝐋𝐌𝐬: GPT-4o, o1, o3, Claude, Gemini, Amazon Bedrock, Cohere 🔹 𝐈𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧: vLLM, TGI, TensorRT-LLM, Ollama, llama.cpp, Groq 🔹 𝐏𝐫𝐨𝐦𝐩𝐭 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: Multi-turn, Few-shot, Zero-shot, Chain-of-Thought, ReAct, RAG-based prompts 🔹 𝐐𝐮𝐚𝐧𝐭𝐢𝐳𝐚𝐭𝐢𝐨𝐧: AWQ, GPTQ, GGUF, GGML, bitsandbytes 🔹 𝐑𝐀𝐆 𝐒𝐲𝐬𝐭𝐞𝐦𝐬: LangChain, LlamaIndex, Haystack, GraphRAG, ChromaDB, FAISS, Pinecone, Qdrant, Weaviate, Milvus, pgvector 🔹 𝐀𝐈 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: n8n, Make, Zapier AI, Flowise, LangFlow, StackAI 🔹 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈: Stable Diffusion, DALL·E, Flux, Midjourney, ControlNet, GPT-4 Vision 🔹 𝐃𝐚𝐭𝐚 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞: Synthetic dataset generation, LLM evaluation frameworks, Ragas, DeepEval 🔹 𝐋𝐋𝐌𝐎𝐩𝐬 & 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠: LangSmith, Langfuse, TruLens, Weights & Biases 🔹 𝐌𝐋 & 𝐍𝐋𝐏: PyTorch, TensorFlow, HuggingFace Transformers, scikit-learn, sentence-transformers 🔹 𝐋𝐋𝐌 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭: AWS Sagemaker, RunPod, GCP AI Platform, Vercel AI SDK, BentoML, Modal, Replicate 🖥️ 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗦𝗸𝗶𝗹𝗹𝘀: 🔹 Proficient in Node.js, Express.js, Python, Django, Flask, AWS Lambda for backend API. 🔹 Experienced with relational & NoSQL databases: MySQL, PostgreSQL, MongoDB, Firebase, Firestore. 🔹 Skilled in Python FastAPI, REST API, GraphQL API development, and database schema design. 🔹 Knowledgeable in Redis, Docker, Kubernetes, AWS EC2, S3, Nginx for scalable infrastructure. 🔹 Experienced with Nest.js for enterprise-grade server-side applications. 🔹 LangChain, LangServe, LangSmith, HuggingFace, Transformers for AI/LLM integrations. 🔹 Vector Databases: Chroma, FAISS, Pinecone, Qdrant for RAG pipelines. 🔹 Low-code AI tools: Flowise AI, LangFlow, StackAI for rapid prototyping. 🔹 Familiar with Celery task queues, testing frameworks (Pytest, Unittest), and automation tools like Selenium. 🌐 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱 𝗦𝗸𝗶𝗹𝗹𝘀: 🔹 Proficient in TypeScript, Redux Toolkit, Tailwind CSS with Next.js for high-performance frontends. 🔹 Skilled in building Progressive Web Apps (PWA) and Single Page Applications (SPA). 🔹 Expert in Vue.js, Nuxt.js, React.js, Next.js, HTML5, CSS3, React Native for responsive and cross-platform UIs. 🛠️ 𝗧𝗼𝗼𝗹𝘀 & 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀: 🔹 Skilled in Python ML libraries: Scikit-learn, Numpy, Pandas, Matplotlib, Seaborn. 🔹 Familiar with OpenAI APIs, Whisper, GPT models, ChatGPT integration, and AI chatbot deployment. 🔹 Experienced with AWS (Lambda, S3, EC2, Sagemaker), Git/GitHub, and Linux environments (Ubuntu, CentOS). 🌟 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗔𝗜 & 𝗟𝗟𝗠 𝗦𝗸𝗶𝗹𝗹𝘀: 🔹 AI Agents / Voice Assistants: CrewAI, AutoGen, Amazon Polly, Deepgram, Rasa AI. 🔹 Open-Source LLMs: LLaMA 3, Mistral 7B, Mixtral 8×7B, Falcon, Gemma. 🔹 Inference Optimization: vLLM, TGI, TensorRT-LLM for high-speed deployments. 🔹 Prompt Engineering: Multi-turn, Few-shot, Zero-shot, RAG-based prompts. 🔹 Quantization: AWQ, GPTQ, GGUF, GGML for efficient LLM deployment. 🔹 LLM Fine-tuning: PEFT, LoRA, QLoRA, RLHF, DPO with Unsloth, Axolotl, H My expertise spans both frontend and backend technologies, as well as a variety of tools and additional skills that enable me to deliver comprehensive solutions. Warm regards, Aayush Saini

AI Engineer specializing in Machine Learning, Generative AI, and Large Language Model (LLM) systems. I design and deploy production-grade AI solutions ML models, GPT-powered applications, RAG systems, and AI automation workflows that help businesses reduce manual effort, increase speed, and unlock data-driven decision-making. 🔹 Core Expertise Experienced in designing scalable AI architectures using Azure serverless infrastructure, OpenAI APIs, and modern vector search frameworks. • Machine Learning model development & deployment (supervised/unsupervised) • Predictive modeling, forecasting, and data-driven insights • NLP pipelines (text classification, extraction, summarization, routing) • Generative AI & LLM applications (GPT-4 / GPT-4o / Claude / Gemini) • Advanced Prompt Engineering & structured outputs • Retrieval-Augmented Generation (RAG) architecture • Vector databases & semantic search (FAISS, Pinecone, ChromaDB) • LLM integration via APIs (OpenAI API, Azure-based serverless workflows) • AI agents, chatbots, and conversational systems • AI automation using APIs and workflow tools (n8n, Make, Zapier) • Hallucination mitigation, response validation, and reliability strategies I focus on building scalable, reliable, and maintainable AI systems — not experiments. 🧠 Notable AI Projects Delivered 📩 AI-Powered Email Intelligence System (Azure Functions + GPT) Designed and deployed a serverless AI email triage system for an organization processing 1000+ emails daily. 🔹 Problem Manual review was overwhelming, causing delayed responses to high-priority communications. 🔹 Solution • Implemented Azure Functions for automated email ingestion • Integrated GPT API for intelligent classification & urgency scoring • Built routing logic to push only critical emails to priority Outlook inbox • Automated categorization of non-urgent emails 🔹 Result ✔ Significantly reduced manual workload ✔ Improved response time for urgent communications ✔ Created scalable, automated email processing pipeline 🤖 Custom GPT Chatbots & AI Assistants Built GPT-powered assistants for customer support, internal help desks, and domain-specific chatbots. • Chatbot development with GPT models • RAG-based knowledge grounding for accurate answers • Vector search + retrieval pipelines • API integration with websites, tools, and internal systems 🏢 Internal RAG Knowledge Assistant Created internal knowledge assistants trained on company docs and databases. • LangChain-powered RAG architecture • Vector indexing (FAISS/Pinecone/ChromaDB) • Secure doc ingestion + retrieval • Context-aware responses with reliability controls If you're looking to build ML models, develop LLM/GPT applications, create a RAG-based assistant, or automate business workflows using AI I can help.

I am an AI Engineer with 5+ years of experience building AI-powered applications, RAG systems, AI agents, LLM integrations, and workflow automation tools for internal teams and software products. My focus is not just creating AI demos, but turning LLM capabilities into reliable product workflows with clear architecture, maintainable backend code, practical deployment, and measurable business value. Core Technologies & Expertise • RAG Systems: document ingestion, chunking, embeddings, hybrid retrieval, citations, reranking, and answer evaluation • AI Agents: tool calling, workflow orchestration, memory, guardrails, human-in-the-loop flows, and API-connected actions • LLM Applications: OpenAI-compatible APIs, model routing, streaming chat UX, structured outputs, prompt optimization, and backend integration • Backend & Infrastructure: Python, FastAPI, Docker, MySQL, Redis, async workers, REST APIs, and VPS/cloud deployment • Enterprise AI Platforms: admin dashboards, audit logs, task queues, permissions, workspace UI, and internal automation workflows • On-device / Edge AI: Android AI integration, model migration, inference optimization, and edge/cloud deployment patterns What I Build • AI chatbots for customer support, internal knowledge search, and workflow automation • RAG knowledge base systems for PDFs, documents, policies, and enterprise data • AI receptionist and appointment-booking workflows • AI agents that call tools, route tasks, and interact with business systems • LLM-powered SaaS features and internal business tools • FastAPI backends for AI applications • Admin dashboards for prompt management, conversation review, and observability • Dockerized AI services ready for handover and deployment Selected Experience • Built an industry-agnostic enterprise RAG and AI agent platform covering knowledge base ingestion, retrieval, chat-based workflow execution, AI tool routing, async workers, admin observability, MySQL/Redis persistence, and enterprise workspace UI. • Extended an OpenClaw-based runtime to support AI workflow execution, internal tools, and enterprise workspace patterns. • Developed AI agent workflows that connect LLMs with external tools, backend services, and structured business processes. • Worked on Android/on-device AI integration, including model migration, inference optimization, and edge/cloud deployment considerations. • Designed AI systems with maintainability in mind: clean API boundaries, retrieval quality checks, audit-friendly logs, and practical delivery milestones. How I Work I usually start by understanding the current workflow, data sources, integrations, and failure cases before proposing a build plan. For existing systems, I can audit the current implementation first, identify the highest-impact fixes, and then improve retrieval quality, agent behavior, backend reliability, and deployment structure step by step. If you need a RAG chatbot, AI agent workflow, AI receptionist, LLM application, or production-ready AI backend, I can help design, build, integrate, and ship it with a practical engineering approach.

📩 𝗟𝗲𝘁’𝘀 𝗯𝘂𝗶𝗹𝗱 𝘆𝗼𝘂𝗿 𝗻𝗲𝘅𝘁 𝗔𝗜 𝗯𝗿𝗲𝗮𝗸𝘁𝗵𝗿𝗼𝘂𝗴𝗵 — 𝗺𝗲𝘀𝘀𝗮𝗴𝗲 𝗺𝗲 𝘁𝗼 𝗴𝗲𝘁 𝘀𝘁𝗮𝗿𝘁𝗲𝗱 𝘁𝗼𝗱𝗮𝘆. 🔹 Availability: Full-time (𝟰𝟬–𝟱𝟬 𝗵𝗿𝘀/𝘄𝗲𝗲𝗸) | Open to long-term and enterprise AI projects. 🔹 Trusted AI/ML Engineer with 𝟴+ 𝘆𝗲𝗮𝗿𝘀 of Exp. delivering intelligent solutions for startups, SaaS 🔴 I am in the 𝗧𝗼𝗽 𝟭% overall on Upwork. 🔴 I am in the 𝗧𝗼𝗽 𝟮% overall on StackOverflow. 🔹8+ Years of Experience as a Fullstack AI/ML Developer. 🔹 $70K+ Billing done over upwork. 🔹 5404+ Hours on Upwork | 30+ Successful Projects Delivered. 🔹 Worked with Fortune 100 Companies. 🔹 Performance-Driven, Scalable & SEO-Optimized Web Applications. 𝗜’𝗺 𝗦𝗮𝘂𝗿𝗮𝗯𝗵 𝗞𝘂𝗺𝗮𝗿, 𝗮 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝗔𝗜/𝗠𝗟 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 & 𝗜 𝗵𝗮𝘃𝗲 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝘄𝗶𝘁𝗵 𝗔𝗜 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱 𝗮𝗻𝗱 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁... 🔹 Fine Tuning: Specialized in persona writing, QnA, medical, legal using mistral, llama3 🔹 LLM Synthetic Dataset Generation 🔹 LLM Evaluation Framework 🔹 LLM Deployment: On Cloud platforms like RunAPod, AWS, GCP 🔹 AI Agents / Voice Bots: Proficient with CrewAI/AutoGen, Amazon Polly, Deepgram. 🔹 OS LLM Deployment: On AWS/GCP/RunPod using SkyPilot (vLLM/TGI) 🔹Python (Flask, Fast API, Django, GPT API, Pytest, BeautifulSoup, Selenium) 🔹 Web Scraping, Data Mining, Web Crawling, Data Parsing, Automation, Bots 🔹 Fullstack (JavaScript, MongoDB, Express.js, React, Node.js) 🔹 DevOps - Ansible, Docker, Kubernetes, GitLab CI\CD (AWS/Azure/DO/GCP). 🔹 API integration: Binance API, Telegram API, OpenAI API, BetFair API, OddsJam API, Stripe API. 🔹 API development: RESTful API, Web Services, HTTP Methods, JSON/XML, API Security, OAuth, API Documentation, API Testing, Postman, Swagger, API Gateway, Microservices, Endpoint Design 📌 𝗠𝘆 𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝗶𝗻𝗰𝗹𝘂𝗱𝗲 📌 ⚙️ Web Scraping | Data Mining | Data Extraction ⚙️ Web Automation | Data Cleaning | Data Collection ⚙️ Crypto Trading Automation | Automate Trading Strategy ⚙️ Interactive Brokers Bot | Crypto Trading Bot | Dashboard ⚙️ Data Analysis | Data Visualization | Data Entry ⚙️ Auto Fill Web Forms (Just a click away!) ⚙️ Merge Multiple CSV Files into a Master File ⚙️ Custom Scripting for Your Specific Needs 𝗠𝘆 𝗦𝗸𝗶𝗹𝗹𝘀𝗲𝘁: ⤵️ AI Agents, Voice Agents, CrewAI, AutoGen, Hugging Face, LLaMA 3, Mistral 7B, PEFT, LoRA, QLoRA, Prompt Engineering, RAG Pipelines, LangChain, Vector Databases, FastAPI, Flask, Django, Streamlit, Azure OpenAI, OpenAI API, vLLM, GPTQ, Trading Bots, Binance API, Telegram Bot API, Python, Selenium, Scrapy, Playwright, BeautifulSoup, Regex, REST APIs, Pandas, NumPy, Scikit-learn, PostgreSQL, Firebase, MongoDB, Data Analysis, Data Engineering 📌 𝗔𝗜 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 & 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻𝘀:📌 🔹𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 / 𝗩𝗼𝗶𝗰𝗲 𝗔𝗴𝗲𝗻𝘁𝘀: CrewAI, AutoGen, Amazon Polly, Deepgram. 🔹L𝗟𝗠 𝗙𝗶𝗻𝗲𝘁𝘂𝗻𝗶𝗻𝗴 & 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴: PEFT, LoRA, QLoRA, RLHF, DPO with Unsloth, Axolotl, Hugging Face. 🔹𝗢𝗽𝗲𝗻-𝗦𝗼𝘂𝗿𝗰𝗲 𝗟𝗟𝗠𝘀: LLaMA 3, Mistral 7B, Mixtral 8x7B. 🔹𝗙𝗮𝘀𝘁 𝗜𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 & 𝗦𝗲𝗿𝘃𝗶𝗻𝗴: vLLM, TGI, DeepSpeed. 🔹𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 & 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻: API-first architecture, Streamlit, Gradio, LangChain, CrewAI. 🔹𝗣𝗿𝗼𝗺𝗽𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 & 𝗥𝗔𝗚 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀: Custom GPT-4 workflows, Multi-agent orchestration, vector search integration. Quantization & Optimization: AWQ, GPTQ, GGUF, GGML. I believe in creating lasting partnerships with my clients by delivering projects on time and exceeding expectations. I look forward to bringing my technical expertise and passion for software development to your project and making a meaningful impact. Thanks Saurabh Kumar

I build production-ready AI Agents, Voice AI systems, RAG applications, and n8n automation for startups and enterprises. With 10+ years of software engineering experience, I combine AI expertise with strong backend, full-stack, API, and cloud engineering skills. I can take an AI product from architecture and development to integrations, deployment, optimization, and production support. I don't just build AI demos. I build reliable systems that work with real users, business data, APIs, CRMs, communication platforms, and production workloads. What I can build 🤖 AI Agents ㆍ Custom AI agents and agentic workflows ㆍOpenAI / Claude integrations ㆍLangChain / LangGraph agents ㆍMCP integrations ㆍOpenClaw agents ㆍMulti-agent workflows ㆍTool calling and function calling 🎙️ Voice AI ㆍInbound and outbound AI voice agents ㆍAI receptionists and appointment agents ㆍVoice-based customer support ㆍSpeech-to-text / text-to-speech systems ㆍLow-latency conversational voice experiences ㆍCRM and business-system integrations 📚 RAG & LLM Applications ㆍCustom RAG chatbots ㆍKnowledge-base assistants ㆍDocument Q&A systems ㆍPinecone / FAISS / Weaviate integrations ㆍLLM application development ㆍPrompt engineering and evaluation ㆍLLM optimization and production deployment ⚙️ n8n & Business Automation ㆍAI-powered n8n workflows ㆍCRM automation ㆍEmail / SMS / WhatsApp workflows ㆍLead qualification and follow-up ㆍAPI and webhook integrations ㆍAutomated data processing ㆍAI + business process automation ㆍEngineering & Cloud ㆍPython, FastAPI, Django, Flask ㆍNode.js, JavaScript, React, Vue.js ㆍREST APIs, webhooks, background jobs ㆍPostgreSQL, MongoDB, vector databases ㆍDocker, Kubernetes, CI/CD ㆍAWS, Azure, GCP ㆍvLLM and inference optimization Why clients work with me ✅ 10+ years of software engineering experience ✅ Production mindset — I focus on reliability, scalability, security, and maintainability. ✅ End-to-end ownership — AI, backend, frontend, integrations, infrastructure, and deployment. ✅ Strong communication — clear technical communication without unnecessary complexity. ✅ Business-focused execution — I build systems that solve actual business problems, not just prototypes. If you need an engineer who can design, build, integrate, and deploy a production AI system, I can help.