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🚀 AI/ML Engineer | Deep Learning | LLMs | FastAPI | Streamlit | RAG Pipelines I’m Aryan Saini, a final-year B.Tech student with 2+ years of hands-on experience building intelligent systems using Python, PyTorch, and modern MLOps tools. I specialize in developing full-stack AI applications—from training custom deep learning models to deploying them via scalable APIs and interactive dashboards. 🔍 What I Can Do for You: • Build and deploy deep learning models (NLP, CV, audio) • Architect RAG pipelines & multi-agent LLM workflows • Integrate HuggingFace, Groq API, OpenAI, and custom fine-tuned models • Develop backend APIs using FastAPI or Express • Create modern UIs with Next.js + Tailwind (Streamlit for quick dashboards) • Deploy on AWS, Vercel, Render, or Docker 🛠️ Key Tools & Frameworks: Python, PyTorch, Transformers, LangChain, FastAPI, Streamlit, Docker, MongoDB, PostgreSQL, OpenAI, Groq, HuggingFace, Tavily, AWS EC2/S3 📌 Highlighted Projects: • ASTRALEARN – AI-powered study planner with LLM agents, RAG search, PDF chatbot • VoxAI – Voice cloning & speech synthesis with TTS/VC models (StyleTTS2, SeedVC) • Multimodal Sentiment Analyzer – Video-based emotion recognition system • Sign Language Recognizer – Real-time gesture classification using CNN + LSTM ✅ Why Hire Me? I’m proactive, fast with iterations, and can take your idea from concept to a fully working AI product. Whether you need help with a proof of concept, research prototype, or a production-grade app, I bring strong technical depth and clean execution. Let’s collaborate to turn your AI vision into reality!

I am an AI/ML engineer with 3+ years building production machine-learning systems, backed by a research track record: two accepted peer-reviewed papers, a two-time Google Summer of Code contributor, and published GPU work. What I can build for you: • LLM & vision-language fine-tuning — QLoRA/PEFT, dataset creation, evaluation, deployment-ready inference. • Self-hosted & open-source LLM deployment — running models on your own GPU servers for privacy, control, and lower cost. • RAG systems & AI agents — retrieval grounded in your documents, data, and tools, with evaluation and monitoring so it stays reliable in production, not just in a demo. • GPU & scientific computing — CUDA/CuPy/JAX acceleration, profiling, and pipelines that process terabytes of data • Full-stack delivery — FastAPI backends, React/Electron front-ends, Docker/Kubernetes, so the model ships as a real product your team can run How I work: define the use case, build the smallest reliable version first, test the edge cases, document everything, and hand you code your team can maintain after the contract ends. Core stack: Python, PyTorch, Hugging Face, CUDA/CuPy, FastAPI, React, Docker, Kubernetes. I am Top Rated with 100% Job Success and I reply within a few hours. Tell me what you're trying to build and I will build it for you.

Most AI developers can build a prototype. Very few can optimize and deploy multimodal LLMs on Jetson Orin Nano at real-time speeds, architect enterprise-grade RAG systems across 3,000+ SQL tables, fine-tune state-of-the-art vision-language models, or serve high-throughput inference with vLLM and SGLang at production scale. That’s what I do. I’m a Senior AI/ML Engineer specializing in: • Production LLM Systems & Agentic AI • Edge AI & High-Performance Model Optimization • Computer Vision & Real-Time Multimodal AI • Distributed Inference & AI Infrastructure I don’t just wrap APIs — I engineer AI systems from the model architecture and optimization layer all the way to scalable production deployment. What makes my work different: → I build multi-agent AI systems that feel invisible to users. Designed a dual-LLM tutoring architecture where a speech-to-speech AI tutor interacts live with students while a hidden orchestration LLM performs real-time prompt injection, memory routing, retrieval planning, and response control completely transparently. → I optimize and deploy AI where most teams fail. Fine-tuned PaliGemma, converted it to ONNX, applied INT8/FP16 quantization and TensorRT optimization, reducing model size by 65% with <2% accuracy loss, then deployed it on Jetson Orin Nano, Raspberry Pi, edge devices, and mobile hardware for real-time inference with extremely limited compute. → I build enterprise RAG systems that reason — not just retrieve. Architected a multi-stage multilingual RAG pipeline using HyDE, recursive retrieval, schema-aware chunking, metadata filtering, hybrid search, reranking, graph-based retrieval, chain-of-table reasoning, and long-context orchestration across 3,000+ enterprise SQL tables and 150+ warehouses. → I engineer high-performance LLM inference infrastructure. Built scalable inference pipelines using vLLM, SGLang, ONNX Runtime, TensorRT-LLM, DeepSpeed, FlashAttention, speculative decoding, paged attention, KV-cache optimization, and distributed GPU serving for low-latency, high-concurrency AI systems. → I deliver video AI and lip sync systems beyond standard open-source baselines. Fine-tuned LatentSync on a 4,000-sample dataset, outperforming Wav2Lip, GAN-Wav2Lip, and Wav2LipHD baselines in multilingual real-time video translation with highly coherent visual speech synchronization. → I design AI systems for real-world production environments. Built AI backends with FastAPI, asyncio, WebSockets, Redis queues, Kafka streaming, GPU worker orchestration, autoscaling inference services, and Kubernetes-based deployments capable of handling real-time concurrent workloads. What I build for clients: • Production-grade RAG systems with hybrid, recursive, graph, and agentic retrieval • High-throughput LLM serving using vLLM, SGLang, TensorRT-LLM, Triton Inference Server • Edge AI deployment with ONNX, TensorRT, OpenVINO, CoreML, TensorFlow Lite, ONNX Runtime • Fine-tuning pipelines (LoRA, QLoRA, PEFT, RLHF, DPO) with evaluation and benchmarking • AI agents with LangGraph, LangChain, LlamaIndex, CrewAI, AutoGen, MCP architectures • Multimodal AI systems combining vision, audio, speech, and language models • Text-to-SQL systems for complex enterprise schemas with multilingual querying • Computer Vision pipelines — YOLOv8, YOLO11, SAM2, GroundingDINO, DETR, Mask R-CNN • Real-time speech AI — Whisper, XTTS, RVC, voice cloning, speech-to-speech pipelines • Video AI — lip sync, face reenactment, multilingual dubbing, avatar systems • Distributed AI infrastructure with Docker, Kubernetes, Ray, Celery, Redis, Kafka • AI observability, evaluation, tracing, and monitoring with LangSmith, MLflow, Weights & Biases • Vector databases and retrieval systems — FAISS, Pinecone, ChromaDB, Milvus, Qdrant, Weaviate • AI surveillance and geospatial intelligence systems with real-time threat detection Core Stack: Python · PyTorch · TensorFlow ·  HuggingFace · Transformers · LangChain · LangGraph · LlamaIndex · OpenAI · Anthropic · Gemini · FastAPI · vLLM · SGLang · TensorRT-LLM · Triton · ONNX Runtime · TensorRT · OpenVINO · TensorFlow Lite · CUDA · OpenCV · MediaPipe · Whisper · YOLO · SAM · GroundingDINO · FAISS · Pinecone ·  Qdrant · MongoDB · PostgreSQL · Redis · Kafka ·  Docker · Kubernetes · GCP · Vertex AI · AWS · Azure · WebSockets If you need an AI engineer who can go deeper than most teams — whether that means deploying optimized multimodal AI on constrained edge hardware, architecting enterprise RAG systems that minimize hallucinations, building scalable LLM inference infrastructure, or shipping production-grade multi-agent AI — send me a message. I’ll tell you honestly what’s possible, what’s overhyped, and exactly how I’d build it.

🔹 Full-Stack Python Developer | AI/ML & LLM Specialist | Chatbots & RAG Expert 🔹5+ Years Python Experience 🔹 2+ Years AI/LLM & Chatbots 🔹Generative AI 🔹 OpenAI 🔹Advanced Integrations 🔹Fast 🔹 Scalable 🔹 Reliable Solutions 🔹24/7 Availability 🔹 Affordable Rates I’m a Python Full-Stack Developer with 5+ years of experience building robust web applications, automation tools, and data scraping solutions. Over the past 2 years, I’ve specialized in AI-driven development—crafting intelligent systems with React frontends, AI agents, Retrieval-Augmented Generation (RAG), and custom chatbots. My expertise combines strong full-stack engineering with cutting-edge AI, enabling me to deliver scalable, efficient, and business-focused solutions tailored to real-world needs. 🤖 AI & LLM Expertise • Created and delivered AI & Voice Agents using ElevenLabs, CrewAI, and Deepgram • Integrated and optimized LLMs like OpenAI GPT, Anthropic Claude, Cohere, and AI21 for powerful NLP solutions • Fine-tuned LLMs to improve accuracy, relevance, and performance for custom AI applications • Expert in RAG with Langchain + Vector DBs (FAISS, Pinecone,etc) • Skilled in prompt engineering ⚙️ Backend Development • Engineered scalable backend systems using Python (Django, FastAPI, Flask) and Node.js for high-performance applications • Worked with MySQL, PostgreSQL, MongoDB, Oracle PL/SQL, Firebase • Built async task systems using Celery and Redis • Strong in testing (Pytest, Unittest) and automation (Selenium, Scrapy) • Deployed apps using Docker, Azure, AWS EC2 & S3, Supervisor & Nginx • Version control using Git with GitHub, GitLab, and Bitbucket 🎨 Frontend Development • Proficient in core frontend technologies HTML5, CSS3, and JavaScript (ES6+) • Skilled in modern frameworks including ReactJS, NextJS, Vue.js, Angular, and React Native • Managed complex frontend state using Redux, React Context, and built-in hooks • Styled UIs using Tailwind CSS, Bootstrap, and Material UI for sleek, responsive designs • Prioritize responsive, mobile-first designs to ensure seamless user experiences across devices 🕸️ Scraping & Automation • Developed robust web scrapers using BeautifulSoup, Scrapy, Selenium, Requests • Automated workflows and API integrations for efficiency • Scheduled tasks with Cron / Task Scheduler for seamless automation Ready to bring your project to life with expert AI, backend, frontend, and automation solutions — let’s connect and get started! I’d love the opportunity to work with you. Thank you!

Lead AI/ML Engineer & Data Science Lead proficient in building scalable AI systems, LLM-powered applications, and production-ready SaaS platforms that handle real-world data, workflows, and automation at scale. I work across the full product lifecycle — from designing backend architecture and ML/AI models to building user-facing applications and deploying on cloud. With a strong foundation in data science, I focus on turning raw data into intelligent, production-ready systems that deliver real business value. Whether it’s an AI-driven platform, automation system, intelligent assistant, or data-heavy application — I build complete, end-to-end solutions. 🚀 Core Expertise 🔹 Backend & APIs Python | FastAPI | Django | Flask | Node.js REST APIs | GraphQL | Microservices | WebSockets | AsyncIO | Celery 🔹 AI/ML & Generative AI Machine Learning | Deep Learning | PyTorch | TensorFlow | scikit-learn | NLP LLMs (GPT-4/4o, Claude, Gemini, Mistral, LLaMA) RAG Pipelines | AI Agents | Multi-Agent Systems | LangChain | LangGraph | LlamaIndex Prompt Engineering | Fine-tuning | Embeddings | Semantic Search | Guardrails 🔹 Data Science & Analytics Statistical Modeling | Predictive Analytics | Time-Series Forecasting (ARIMA, Prophet, XGBoost) Anomaly Detection | Classification & Regression Models | Feature Engineering Model Evaluation & Optimization | A/B Testing | Data Visualization (Matplotlib, Seaborn, Tableau) Business Intelligence & Decision Systems 🔹 Intelligent Systems & Data Handling Structured & Unstructured Data Processing | Document AI | OCR | NLP Pipelines Text-to-SQL | Knowledge Retrieval Systems | Context-aware AI Workflows 🔹 Frontend Development React | Next.js | TypeScript | JavaScript | Redux | TailwindCSS Responsive UI | SPA | SSR 🔹 Vector Databases & Search Pinecone | Weaviate | Milvus | FAISS Semantic Search | Knowledge Bases | AI Assistants 🔹 Databases & Caching PostgreSQL | MySQL | MongoDB | Redis | Elasticsearch Query Optimization | Indexing 🔹 Cloud & DevOps (Production Systems) AWS (EC2, S3, Lambda, ECS, RDS) | GCP Docker | Kubernetes | CI/CD | GitHub Actions | Linux | Nginx | Monitoring & Logging 🔹 Data Engineering & Pipelines ETL / ELT | Airflow | Kafka | Data Pipelines Web Scraping | Automation Systems | Batch & Real-time Processing 🧠 What I Build ✔ AI-powered SaaS platforms ✔ LLM-based assistants and copilots ✔ RAG-based knowledge systems ✔ AI agents & workflow automation systems ✔ Data science-driven decision systems ✔ Predictive analytics & forecasting models ✔ Document processing & intelligent data systems ✔ Scalable backend architectures & APIs ✔ Real-time systems & streaming applications ✔ End-to-end cloud-deployed products 🏆 Why Clients Work With Me ✔ Strong ownership — from idea to production ✔ Deep experience across AI, ML, and Data Science (not just prototypes) ✔ Clean, scalable architecture with long-term maintainability ✔ Ability to handle backend, AI, data, and deployment in one place ✔ Focus on performance, reliability, and real business outcomes 📈 Tech & Keywords AI Engineer, Lead AI Developer, Data Scientist, Python, FastAPI, Django, React, Next.js, LLMs, OpenAI, Claude, RAG, LangChain, LangGraph, Vector DB, AI Agents, Machine Learning, Deep Learning, NLP, Data Science, Forecasting, XGBoost, Prophet, ETL, Kafka, PostgreSQL, Redis, Docker, Kubernetes, AWS, GCP, CI/CD, SaaS Development 📩 Let’s Build Something Solid If you’re looking for someone who can take full ownership of your AI product — from data and models to backend and deployment — and build something that actually works in production, let’s connect.

Hey there, Welcome to my Upwork profile. I help startups, SaaS businesses, ERPs, and growing teams build AI-powered systems that are practical, scalable, and aligned with real business goals, not just experimental prototypes. With 10+ years of experience across full-stack development, automation, SaaS platforms, and AI integrations, I work closely with founders and teams to bring clarity before and during development: 1). What should actually be built 2). Which processes are worth automating 3). How to design systems that remain scalable, maintainable, and useful as the business grows My focus is always on building solutions that work reliably with real users, real workflows, and real operational requirements. 🧠 Core Expertise 1) AI, Automation & Intelligent Systems - Python, TensorFlow, scikit-learn - NLP and AI-powered workflow automation - LLM integrations and AI agents - RAG pipelines and intelligent search systems - Data processing and automation logic 2) Full-Stack & SaaS Development - FastAPI, Django, Flask, Node.js - React.js, Next.js, Tailwind CSS - REST APIs and third-party integrations - Scalable SaaS architecture and admin systems - Custom dashboards and internal tools 3) Cloud, Deployment & Infrastructure - AWS & GCP - Docker and CI/CD pipelines - Secure deployment workflows - Database design and optimization ⭐ Why Clients Work With Me - Strong hands-on experience with scalable applications - End-to-end development ownership - Clean, reliable, and maintainable code - Business-focused technical decisions - Clear communication and dependable delivery - Long-term support and collaboration If you are looking for practical AI solutions, scalable systems, and clear technical direction, we will work well together. My Availability- -40 hrs/week Flexible with All Time Zones. -Communications Skills- Excellent In English. -Quality Service in Clients budget. -Updates Client on daily basis. Let’s discuss your idea and build something reliable, scalable, and useful. Thanks.