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Senior AI Engineer | Generative AI | Full Stack ML Systems | YOLO Expert | MLOps I’m a specialized AI/ML engineer with over 3 years of hands-on experience designing and deploying end-to-end machine learning systems — from custom LLM pipelines and vision models to scalable backend integrations and autonomous AI agents. I work at the intersection of deep learning, production-ready engineering, and AI-driven product development. Specialties: Computer Vision & Object Detection • Full expertise across all YOLO variants: YOLOv3, YOLOv4, YOLOv5, YOLOv6, YOLOv7, YOLOv8, YOLO-NAS • Custom training with annotated datasets (COCO, Pascal VOC, custom formats) • Model compression, quantization, ONNX/TensorRT export for edge deployment • Real-time inference APIs, multi-object tracking (DeepSORT, ByteTrack) • Medical and industrial use-cases (e.g., diagnostics, defect detection) LLMs & Generative AI • Local + API-based LLM integration: OpenAI, LLaMA, Mistral, Falcon, GPT-J • RAG architecture using FAISS, Chroma, Weaviate, Qdrant • LangChain agent chains: tool use, memory, routing, and personalization • Multi-modal pipelines: text + image + document reasoning MLOps & Deployment • FastAPI, Docker, TorchServe, BentoML for scalable deployment • Model optimization: pruning, quantization, batching • GPU-accelerated workloads (AWS, Lambda Labs, GCP) • CI/CD pipelines for reproducible ML development Full Stack AI Engineering • Frontend: React, Next.js, Tailwind • Backend: FastAPI, Node.js, RESTful + WebSocket APIs • Databases: PostgreSQL, MongoDB, Redis • Autonomous agents with Playwright, ScrapeGraphAI, Selenium, LangGraph Project Highlights: • YOLOv11-based Smart Surveillance: Deployed real-time detection + tracking for multi-class scenarios with alerting pipeline and frontend dashboard. • Medical VQA & Reporting: Created a multi-modal system that extracts diagnostic details from X-rays + generates detailed reports using VQA + LLMs. • AI Search Agent: Built an autonomous search bot using LLMs + real-time scraping with memory and historical context integration. • Document Generation Platform: Custom-built platform using local LLMs to generate reports, contracts, and structured documents with fine control. Why Hire Me? • Expert in both research-level ML and scalable production systems • Proven experience with high-impact, real-world AI projects • Focus on clean code, optimization, and long-term maintainability • Strong communicator who aligns deliverables with your business goals Let’s build something advanced. Drop a message — I respond fast and speak your tech language.

I build AI systems that survive production — not demos that impress once and break under real users. As CTO at two AI companies (Quickgen Technologies and QuickComm AE), I architect and ship LLM, computer vision, and real-time systems for startups and enterprise clients. 6+ years of experience. MS in Computer Science (NUST). WHAT I BUILD AI Agents & LLM Systems Multi-agent workflows (LangChain, LangGraph, CrewAI), RAG pipelines with vector search, and production integrations with Gemini, GPT, Whisper, and Deepgram — including real-time streaming pipelines under 300ms latency. Computer Vision & Edge AI Object detection and tracking (YOLOv8), OCR pipelines, and edge deployment on constrained hardware for IoT and wearable products. Full-Stack & Cloud Infrastructure FastAPI, Flask, and Django backends, PostgreSQL, Redis, WebSocket-based real-time systems, and CI/CD deployment on Azure and AWS. Mobile & IoT Offline-first apps in React Native and Flutter, with BLE/hardware integration for connected products. PROVEN IN PRODUCTION Recent work includes a real-time AI voice platform processing live speech with sub-300ms latency (QuickComm), an IoT rehabilitation platform combining wearable sensors with ML-driven motion

About 7 years of architecting data-driven enterprise-grade solutions for top-tier corporations, I've now strategically transitioned to freelancing and contract-based roles. My mission? To bring that production-level expertise, spanning classical ML, deep learning, NLP, MLOps, and the cutting edge of LLMs directly to forward-thinking businesses ready to redefine their capabilities. Here’s a snapshot of the technologies I bring to the table: - Classical Machine Learning: Proficient in a wide array of traditional ML algorithms, including K-means, Random Forest, Logistic Regression, Support Vector Machines (SVMs), Gradient Boosting (XGBoost, LightGBM), and more, ensuring robust predictive modeling and insightful data analysis. - Deep Learning & Neural Networks: My expertise extends to advanced deep learning architectures, encompassing Convolutional Neural Networks (CNNs) for computer vision, Recurrent Neural Networks (RNNs), and Transformers. I leverage frameworks like PyTorch and TensorFlow to build and deploy sophisticated deep learning models. - Natural Language Processing (NLP): From fundamental text processing to cutting-edge language understanding, I specialize in NLP techniques, including Named Entity Recognition (NER), sentiment analysis, text summarization, topic modeling, and advanced language generation. I'm particularly adept at working with Hugging Face transformers and various NLP libraries. - Large Language Models (LLMs) & Generative AI: I have hands-on experience in implementing and fine-tuning Large Language Models (LLMs), including working with OpenAI API for custom solutions. My capabilities include developing and deploying Generative AI pipelines for tasks like RAG (Retrieval Augmented Generation), Stable Diffusion, Text-to-Speech, Image Segmentation, and advanced content creation. - MLOps: Beyond model development, I understand the critical importance of operationalizing AI. I have experience with MLOps practices for seamless deployment, monitoring, and management of machine learning models in production environments, ensuring scalability and reliability. I'm highly skilled in essential programming languages like Python (Pandas, Scikit-learn, NumPy) and R, alongside SQL and SAS, to build, analyze, and optimize these systems. I've optimized ML/AI systems right down to the GPU programming level, ensuring maximum performance and efficiency for compute-intensive workloads.

🏆𝐒𝐫. 𝐀𝐈 /𝐌𝐋 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 & 𝐅𝐮𝐥𝐥 𝐒𝐭𝐚𝐜𝐤 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐬𝐭🏆 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐳𝐞 𝐢𝐧 : 𝐏𝐲𝐭𝐡𝐨𝐧 | 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 | 𝐋𝐚𝐫𝐠𝐞 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐌𝐨𝐝𝐞𝐥𝐬 | 𝐆𝐏𝐓-𝟑/𝟒 | 𝐌𝐨𝐝𝐞𝐥 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 & 𝐄𝐯𝐚𝐥𝐮𝐚𝐭𝐢𝐨𝐧 | 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 & 𝐍𝐋𝐏 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 | 𝐀𝐈 𝐂𝐡𝐚𝐭𝐛𝐨𝐭 & 𝐀𝐠𝐞𝐧𝐭 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 Harsh Here! As a Senior AI/ML Engineer with 4+ years of hands-on experience delivering end-to-end AI/ML solutions using structured and unstructured data. Specialized in Machine Learning, Deep Learning, Computer Vision, NLP and Generative AI with a strong foundation in data science and advanced analytics. Proven ability to design scalable, high-performance models, drive automation and translate business problems into production-ready, data-driven products. Experienced in collaborating with cross-functional teams across the full AI lifecycle from ideation and development to deployment and maintenance focused on democratizing AI and transforming industries. ❇My Core Services: • Generative AI - Custom GPTs & LLMs Finetuining | ImageGen & Diffusion Models • Computer Vision • Image processing • Natural Language Processing • Machine Learning • Deep Learning • Convolutional Neural Networks ❇Deployment: • AI SaaS Architecture - AWS & GCP • Edge Device - Android, iOS & Jetson • Autoscaling Asynchronous Backend AI Platform (For Scalability) • Desktop Application ❇Industries for which we have Supported & built AI projects: • Healthcare & Fitness • Analytics & Advertisements • Beauty & Wellness • Drone & Satellite • Gaming • Stock Trading • Fuel & Energy • Manufacturing • Real Estate & Construction • Agriculture • Robotics • Education & Research • Retail & E-commerce • Human Resources & Recruitment • Environmental Monitoring & Sustainability ✴𝐃𝐞𝐭𝐚𝐢𝐥𝐬 𝐨𝐟 𝐭𝐡𝐞 𝐬𝐞𝐫𝐯𝐢𝐜𝐞𝐬 𝐨𝐟𝐟𝐞𝐫𝐞𝐝: ❇Generative AI - Custom GPTs & LLMs Finetuining: • Custom Chatbot Development • LLM Fine Tuning - OpenAI ChatGPT, GPT3, GPT4, GPT4o or Open Source LLMs - Mistral, LLaMA 3, Falcon • RAG Models • Function calling • Business Specific Chatbot Expert (Trained using business domain data) • Deployment to Cloud - AWS or GCP or Baremetal ❇Generative AI - Custom Image Generation Solutions: • Custom Image Generation Development • Fine-Tuning Image Generation Models - DALL-E, Stable Diffusion, MidJourney, and other Open Source Models • Image-to-Image Translation • Text-to-Image Generation • Style Transfer • Custom Model Training using Business-Specific Data ❇Computer Vision: • Image Processing pipelines • Classification Models • Object Detection • Segmentation • Object Tracking • 3D Rendering & Point Clouds • Keypoint Detection • Neural Network Development • Deep Learning • CNN (Convolutional Neural Networks) • R-CNN (Region-based Convolutional Neural Networks) • RNN (Recurrent Neural Networks) • GANs (Generative Adversarial Networks) • YOLO (You Only Look Once) • ResNet (Residual Networks) • Custom Model Training using Business-Specific Data ❇Natural Language Processing: • Text Classification • Named Entity Recognition (NER) • Sentiment Analysis • Machine Translation • Text Summarization • Question Answering Systems • Speech Recognition • Text-to-Speech • Language Modeling • Custom NLP Model Development • Fine-Tuning Pretrained NLP Models - GPT-4, BERT, T5, RoBERTa, and other Open Source Models ❇API Development for serving the AI models: • RESTful API Development • FastAPI • Flask • MySQL • MongoDB • Docker • Celery • Redis Queue • CI/CD • Git & GitHub • SQLAlchemy (ORM) • Alembic (DB Migrations) • PyDantic • Kubernetes • AWS ECS Feel free to contact us to discuss your project! We're excited to provide you with a detailed development proposal.

AI/ML Engineer | Computer Vision, Agentic AI, RAG, Python & MLOps I help businesses turn AI ideas into reliable, production ready systems. I am an AI/ML Engineer and Python developer with 4 years of hands-on experience in computer vision, machine learning, agentic AI, RAG chatbots, backend API development, databases, dashboards, MLOps and cloud deployment. What I Can Build for You Agentic AI, LLMs & RAG Chatbots :: I build intelligent AI assistants and automation systems using: - LangChain and LangGraph - OpenAI GPT and Anthropic Claude integrations - Retrieval-Augmented Generation systems - Pinecone, ChromaDB, and other vector databases - Conversation memory and persistent agent state - Tool calling and multi-step workflows - Multi-agent systems and routing logic - Document-based question-answering systems - Structured outputs, guardrails, and validation - AI-powered recommendation engines - OpenClaw based AI agents and automated workflows These systems can connect with APIs, databases, documents, calendars, email services, internal business tools, and external platforms. Computer Vision & YOLO Systems :: I develop custom computer vision solutions using YOLO, PyTorch, TensorFlow, and OpenCV, including: - Object detection and image segmentation - PPE and workplace safety monitoring - Retail shelf, chiller, and product analytics - Defect detection and quality inspection - Image classification and processing - Custom dataset preparation and annotation workflows - Model training, evaluation, fine-tuning, and optimization - Real-time image, video, CCTV, and RTSP stream processing - Edge deployment on devices such as NVIDIA Jetson Nano I can build the complete pipeline, including data preparation, model training, inference services, dashboards, APIs, and deployment. Python, Data Science & Machine Learning :: - work with Python for: - Data cleaning and preprocessing - Exploratory data analysis - Feature engineering - Machine learning model development - Classification, regression, and clustering - Model evaluation and performance analysis - Automation scripts and data pipelines - Pandas, NumPy, scikit-learn, Jupyter, and Google Colab Backend APIs & Database Development :: My backend development experience includes: - REST API development - AI and ML model-serving APIs - Authentication and authorization - Third-party API integrations - Asynchronous and background processing - File and image upload systems - Webhooks and automated workflows - SQL database design and integration - PostgreSQL, MySQL, Supabase, and vector databases - Backend services for React and Flutter applications Dashboards & Business Applications :: I develop dashboards and applications for visualizing AI results, business metrics, operational performance, and system activity. This includes: - AI monitoring dashboards - Retail analytics dashboards - Detection and compliance reports - Database-connected web applications - React-based interfaces - Flutter mobile and desktop applications - API-integrated admin panels MLOps, Deployment & Automation :: My deployment and MLOps experience includes: - Docker-based application packaging - Model and dataset versioning - Experiment tracking - Reproducible training pipelines - GitHub and GitLab CI/CD - Cloud VM and on-premise deployment - AWS S3 integration for datasets and model artifacts - FastAPI and Flask production deployment - Model monitoring and logging - Automated testing and delivery workflows - Model optimization, quantization, and acceleration where applicable Technologies I Work With :: AI and Machine Learning: Python, PyTorch, TensorFlow, TFLite, scikit-learn, OpenCV, YOLO, Pandas, NumPy LLMs and Agentic AI: LangChain, LangGraph, OpenAI GPT, Anthropic Claude, RAG, tool calling, memory systems, OpenClaw, Pinecone, ChromaDB Backend and Databases: FastAPI, Flask, REST APIs, SQL, PostgreSQL, MySQL, Supabase MLOps and Deployment: Docker, GitHub Actions, GitLab CI/CD, AWS S3, cloud VMs, Linux, model versioning, experiment tracking Applications and Dashboards: React, Flutter, API-integrated dashboards, data visualization systems Why Work With Me? - End-to-end ownership from initial idea to deployment - Strong combination of AI, backend, database, and deployment skills - Experience building systems for real-world retail, safety, automation, and analytics use cases - Clear communication and well-structured development - Clean, maintainable, and documented code

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