Hire the Best TensorFlow Developers
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🚀 Unlock the Power of Data with Expertise! 🚀 Hello there! 👋 As a seasoned Machine Learning and Deep Learning Specialist, I bring a wealth of experience to the table. My journey spans diverse projects, from crafting cutting-edge Machine Learning models to delving into the realms of Clustering, Image Recognition, CSV text classification, and Time-Series Forecasting. With a proficiency in Python and mastery over statistical software like SPSS, I offer solutions tailored to your unique challenges. Here's a glimpse of what I bring to the table: 🎯 Expertise Domains: Machine Learning Deep Learning Exploratory Data Analysis Digital Image Processing Object-Oriented Programming Data Structures Data Mining Data Visualizations Data Extraction 💼 Project Highlights: 🌐 Cloud-based deployment of deep-learning models. 👀 Computer Vision mastery: Face Detection, Object Segmentation, and more. 🧠 Natural Language Processing wizardry: from Chatbots to Document Layout Token Classification. 🚀 AI calling assistants for a personalized touch. 🎨 Generative AI and GANs for creative applications. 📈 Predictive Analytics for Time Series Forecasting and Anomaly Detection. 📊 Data Visualizations that tell compelling stories. ⚙️ Back-end development prowess with Flask APIs, NodeJS, and Laravel. 💾 Database expertise: MySQL, MongoDB, Cassandra, Redis, and Elastic Search. 🛠️ Deep-learning Frameworks mastery: PyTorch, TensorFlow, HuggingFace, and more. 🌐 Cloud Architectures: AWS, Google Cloud Platform, and Digital Ocean. Let's transform your data challenges into success stories! Whether it's unraveling the complexities of your datasets or architecting robust cloud solutions for heavy traffic applications, my expertise, backed by a strong mathematical foundation, ensures unparalleled insights and performance improvements. Ready to harness the true potential of your data? Let's talk! 🚀✨

I am an AI/ML developer specializing in Computer Vision, Embedded AI, and real-world automation systems. I work with startups, researchers, and small businesses to design and deploy practical machine learning models that solve real operational problems. With a Bachelor's degree in Computer Engineering (Nanotechnology option) from the University of Alberta, I have hands-on experience with: 1) Object Detection and Face Recognition using OpenCV and YOLO 2) Embedded AI solutions using TensorFlow Lite on Raspberry Pi and Arduino 3) GPT/LLM integration for custom chatbot and PDF summarization tools 4) Automation pipelines using Python, Pandas, Scikit-learn, and Flask 5) Dashboard development with Streamlit and model deployment via APIs I focus on clear code, real results, and business-driven AI—not just academic models. Whether you need help with a one-time project or a long-term collaboration, I deliver production-ready, well-documented solutions with a strong understanding of both software and hardware aspects. Let’s connect if you’re looking for an AI partner who understands systems from edge devices to APIs.

I am an AI Engineer with 4+ years of experience building and deploying production-ready AI systems across classical machine learning, deep learning, computer vision, NLP, and Generative AI. Unlike many AI developers who focus only on LLMs, I work across the entire AI stack. I believe the best solution isn't always a large language model or an expensive API. Many real-world problems are better solved using classical machine learning or deep learning, resulting in lower infrastructure costs, faster inference, reduced latency, and greater control over your solution. My goal is always to build the most effective system not the most expensive one. Some of the areas I regularly work in include: * Classical Machine Learning (XGBoost, LightGBM, CatBoost, Random Forests, SVMs, feature engineering, predictive modelling, forecasting, anomaly detection, recommendation systems) * Deep Learning (PyTorch, TensorFlow, CNNs, Transformers, Vision Transformers, knowledge distillation, model optimization) * Computer Vision (object detection, image classification, segmentation, OCR, document understanding, face recognition, multi-object tracking, embedding-based search) * NLP & LLMs (RAG, GraphRAG, agentic workflows, fine-tuning, embeddings, semantic search, document QA, information extraction) * Generative AI applications using OpenAI, Anthropic, Gemini, and open-source models * End-to-end AI pipelines from data collection and preprocessing to training, evaluation, deployment, and monitoring I also have extensive experience optimizing AI models for production through knowledge distillation, pruning, quantization, and efficient inference, making models smaller, faster, and more cost-effective for both cloud and edge deployments. On the engineering side, I work comfortably with Python, FastAPI, PostgreSQL, pgvector, asynchronous programming, Docker, GPU acceleration, and cloud deployments. I build complete AI products and APIs that are designed to scale not just research prototypes. Beyond implementation, I enjoy solving difficult research and engineering problems. Whether it's designing a predictive model, improving model accuracy, reducing inference costs, building an intelligent document processing pipeline, or deploying an LLM application, I focus on solutions that are reliable, maintainable, and practical for production. I also lead a team of AI engineers, giving me experience not only in technical execution but also in planning, code quality, mentoring, and delivering projects on time. If you're looking for someone who can understand the problem first, choose the right AI approach, and build a production-ready solution that balances performance, cost, and scalability, I'd be happy to help.

𝐏𝐲𝐭𝐡𝐨𝐧 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫 𝐚𝐧𝐝 𝐓𝐮𝐭𝐨𝐫 | 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 | 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐬𝐭 | 𝐋𝐚𝐫𝐠𝐞 𝐥𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐌𝐨𝐝𝐞𝐥𝐬 (𝐋𝐋𝐌𝐬) 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭 | 𝐑𝐚𝐠 𝐚𝐧𝐝 𝐅𝐢𝐧𝐞-𝐭𝐮𝐧𝐢𝐧𝐠 | 𝐀𝐈 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 | 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬 𝐆𝐫𝐞𝐞𝐭𝐢𝐧𝐠 , 𝐈’𝐦 𝐕𝐢𝐠𝐧𝐞𝐬𝐡𝐰𝐚𝐫𝐚𝐧 𝐚𝐧 𝐀𝐈 𝐢𝐧𝐧𝐨𝐯𝐚𝐭𝐨𝐫 𝐝𝐫𝐢𝐯𝐢𝐧𝐠 𝐫𝐞𝐚𝐥-𝐰𝐨𝐫𝐥𝐝 𝐢𝐦𝐩𝐚𝐜𝐭 𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐝𝐞𝐞𝐩 𝐞𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 𝐢𝐧 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠, 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠, 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧, 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈, 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬, 𝐚𝐧𝐝 𝐋𝐋𝐌𝐬. 𝐈’𝐯𝐞 𝐛𝐮𝐢𝐥𝐭 𝐜𝐮𝐭𝐭𝐢𝐧𝐠-𝐞𝐝𝐠𝐞 𝐀𝐈 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐟𝐨𝐫 𝐞𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞𝐬, 𝐬𝐭𝐚𝐫𝐭𝐮𝐩𝐬, 𝐚𝐧𝐝 𝐡𝐢𝐠𝐡-𝐟𝐫𝐞𝐪𝐮𝐞𝐧𝐜𝐲 𝐭𝐫𝐚𝐝𝐢𝐧𝐠, 𝐜𝐨𝐧𝐬𝐢𝐬𝐭𝐞𝐧𝐭𝐥𝐲 𝐡𝐞𝐥𝐩𝐢𝐧𝐠 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬𝐞𝐬 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐞, 𝐨𝐩𝐭𝐢𝐦𝐢𝐳𝐞, 𝐚𝐧𝐝 𝐬𝐜𝐚𝐥𝐞 𝐭𝐡𝐞𝐢𝐫 𝐨𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐬 𝐚𝐧𝐝 𝐑&𝐃 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡 🚨 𝐖𝐡𝐲 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 𝐇𝐢𝐫𝐞 𝐌𝐞 ✅ 𝐅𝐮𝐥𝐥-𝐭𝐢𝐦𝐞 𝐅𝐫𝐞𝐞𝐥𝐚𝐧𝐜𝐞𝐫 — 𝟓𝟎+ 𝐡𝐫𝐬/𝐰𝐞𝐞𝐤 | 𝐅𝐥𝐞𝐱𝐢𝐛𝐥𝐞 𝐚𝐜𝐫𝐨𝐬𝐬 𝐚𝐥𝐥 𝐭𝐢𝐦𝐞 𝐳𝐨𝐧𝐞𝐬. ✅ 𝐄𝐧𝐝-𝐭𝐨-𝐄𝐧𝐝 𝐎𝐰𝐧𝐞𝐫𝐬𝐡𝐢𝐩 — 𝐟𝐫𝐨𝐦 𝐛𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐫𝐨𝐛𝐮𝐬𝐭 𝐝𝐚𝐭𝐚 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 𝐭𝐨 𝐝𝐞𝐩𝐥𝐨𝐲𝐢𝐧𝐠 𝐬𝐜𝐚𝐥𝐚𝐛𝐥𝐞 𝐌𝐋 𝐦𝐨𝐝𝐞𝐥𝐬 𝐨𝐧 𝐭𝐡𝐞 𝐜𝐥𝐨𝐮𝐝. ✅ 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐑𝐞𝐚𝐝𝐲 𝐑𝐞𝐬𝐮𝐥𝐭𝐬 — 𝐧𝐨 𝐦𝐨𝐫𝐞 “𝐰𝐨𝐫𝐤𝐬 𝐢𝐧 𝐭𝐡𝐞 𝐥𝐚𝐛, 𝐟𝐚𝐢𝐥𝐬 𝐢𝐧 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧.” 𝐌𝐲 𝐀𝐈 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐦𝐚𝐢𝐧𝐭𝐚𝐢𝐧 𝟗𝟗.𝟗% 𝐮𝐩𝐭𝐢𝐦𝐞 𝐚𝐧𝐝 𝐝𝐞𝐥𝐢𝐯𝐞𝐫 𝐦𝐞𝐚𝐬𝐮𝐫𝐚𝐛𝐥𝐞 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐢𝐦𝐩𝐚𝐜𝐭. 𝐝𝐨𝐧’𝐭 𝐣𝐮𝐬𝐭 𝐝𝐞𝐥𝐢𝐯𝐞𝐫 𝐦𝐨𝐝𝐞𝐥𝐬 — 𝐈 𝐝𝐞𝐥𝐢𝐯𝐞𝐫 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐭𝐡𝐚𝐭 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐞 𝐬𝐞𝐚𝐦𝐥𝐞𝐬𝐬𝐥𝐲 𝐰𝐢𝐭𝐡 𝐲𝐨𝐮𝐫 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬, 𝐞𝐧𝐬𝐮𝐫𝐢𝐧𝐠 𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞, 𝐫𝐞𝐥𝐢𝐚𝐛𝐢𝐥𝐢𝐭𝐲, 𝐚𝐧𝐝 𝐥𝐨𝐧𝐠-𝐭𝐞𝐫𝐦 𝐬𝐜𝐚𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲. 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 & 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 𝐢𝐧 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 ✅ 𝐀𝐈 & 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 — 𝐁𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐮𝐬𝐢𝐧𝐠 𝐏𝐲𝐭𝐡𝐨𝐧, 𝐓𝐞𝐧𝐬𝐨𝐫𝐅𝐥𝐨𝐰, 𝐏𝐲𝐓𝐨𝐫𝐜𝐡, 𝐚𝐧𝐝 𝐬𝐜𝐚𝐥𝐚𝐛𝐥𝐞 𝐌𝐋 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞𝐬 𝐭𝐚𝐢𝐥𝐨𝐫𝐞𝐝 𝐟𝐨𝐫 𝐫𝐞𝐚𝐥-𝐰𝐨𝐫𝐥𝐝 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐧𝐞𝐞𝐝𝐬. ✅ 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 & 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 — 𝐃𝐞𝐬𝐢𝐠𝐧𝐢𝐧𝐠 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐞𝐝 𝐝𝐚𝐭𝐚 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬, 𝐟𝐞𝐚𝐭𝐮𝐫𝐞 𝐬𝐭𝐨𝐫𝐞𝐬, 𝐚𝐧𝐝 𝐄𝐓𝐋 𝐩𝐫𝐨𝐜𝐞𝐬𝐬𝐞𝐬 𝐟𝐨𝐫 𝐡𝐢𝐠𝐡-𝐯𝐨𝐥𝐮𝐦𝐞, 𝐫𝐞𝐚𝐥-𝐭𝐢𝐦𝐞 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬. ✅ 𝐂𝐥𝐨𝐮𝐝 & 𝐌𝐋𝐎𝐩𝐬 — 𝐃𝐞𝐩𝐥𝐨𝐲𝐢𝐧𝐠 𝐞𝐧𝐝-𝐭𝐨-𝐞𝐧𝐝 𝐌𝐋 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐨𝐧 𝐀𝐖𝐒 | 𝐆𝐂𝐏 | 𝐀𝐳𝐮𝐫𝐞, 𝐥𝐞𝐯𝐞𝐫𝐚𝐠𝐢𝐧𝐠 𝐃𝐨𝐜𝐤𝐞𝐫, 𝐅𝐚𝐬𝐭𝐀𝐏𝐈, 𝐚𝐧𝐝 𝐂𝐈/𝐂𝐃 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 𝐟𝐨𝐫 𝐬𝐞𝐚𝐦𝐥𝐞𝐬𝐬 𝐬𝐜𝐚𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲. ✅ 𝐀𝐈 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 — 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐧𝐠 𝐋𝐋𝐌𝐬, 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈, 𝐍𝐋𝐏, 𝐚𝐧𝐝 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 𝐭𝐨 𝐩𝐮𝐬𝐡 𝐭𝐫𝐚𝐝𝐢𝐭𝐢𝐨𝐧𝐚𝐥 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐢𝐧𝐭𝐨 𝐭𝐡𝐞 𝐧𝐞𝐱𝐭 𝐞𝐫𝐚 𝐨𝐟 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞. ✅ 𝐂𝐨𝐧𝐭𝐢𝐧𝐮𝐨𝐮𝐬 𝐈𝐦𝐩𝐫𝐨𝐯𝐞𝐦𝐞𝐧𝐭 — 𝐄𝐱𝐩𝐞𝐫𝐢𝐦𝐞𝐧𝐭𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐜𝐮𝐭𝐭𝐢𝐧𝐠-𝐞𝐝𝐠𝐞 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡, 𝐨𝐩𝐭𝐢𝐦𝐢𝐳𝐢𝐧𝐠 𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞, 𝐚𝐧𝐝 𝐞𝐧𝐬𝐮𝐫𝐢𝐧𝐠 𝐞𝐯𝐞𝐫𝐲 𝐦𝐨𝐝𝐞𝐥 𝐞𝐯𝐨𝐥𝐯𝐞𝐬 𝐰𝐢𝐭𝐡 𝐧𝐞𝐰 𝐝𝐚𝐭𝐚 𝐚𝐧𝐝 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 𝐭𝐫𝐞𝐧𝐝𝐬. 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 ✅𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐌𝐋 & 𝐀𝐈 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 — 𝐃𝐞𝐬𝐢𝐠𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐝𝐞𝐩𝐥𝐨𝐲𝐢𝐧𝐠 𝐩𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐦𝐨𝐝𝐞𝐥𝐬, 𝐫𝐞𝐜𝐨𝐦𝐦𝐞𝐧𝐝𝐚𝐭𝐢𝐨𝐧 𝐬𝐲𝐬𝐭𝐞𝐦𝐬, 𝐚𝐧𝐝 𝐜𝐥𝐚𝐬𝐬𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧/𝐫𝐞𝐠𝐫𝐞𝐬𝐬𝐢𝐨𝐧 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 𝐮𝐬𝐢𝐧𝐠 𝐏𝐲𝐭𝐡𝐨𝐧, 𝐓𝐞𝐧𝐬𝐨𝐫𝐅𝐥𝐨𝐰, 𝐏𝐲𝐓𝐨𝐫𝐜𝐡, 𝐚𝐧𝐝 𝐒𝐜𝐢𝐤𝐢𝐭-𝐥𝐞𝐚𝐫𝐧. ✅ 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 & 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 — 𝐁𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐞𝐝 𝐄𝐓𝐋 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬, 𝐟𝐞𝐚𝐭𝐮𝐫𝐞 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬, 𝐚𝐧𝐝 𝐝𝐚𝐭𝐚 𝐩𝐫𝐞𝐩𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 𝐟𝐨𝐫 𝐡𝐢𝐠𝐡-𝐯𝐨𝐥𝐮𝐦𝐞 𝐚𝐧𝐝 𝐫𝐞𝐚𝐥-𝐭𝐢𝐦𝐞 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬. 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 🏴󠁣󠁬󠁡󠁩󠁿 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐍𝐞𝐮𝐫𝐚𝐥 𝐍𝐞𝐭𝐰𝐨𝐫𝐤𝐬 — 𝐃𝐞𝐬𝐢𝐠𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐝𝐞𝐩𝐥𝐨𝐲𝐢𝐧𝐠 𝐂𝐍𝐍𝐬, 𝐑𝐍𝐍𝐬, 𝐋𝐒𝐓𝐌𝐬, 𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐞𝐫𝐬, 𝐚𝐧𝐝 𝐕𝐢𝐬𝐢𝐨𝐧/𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐦𝐨𝐝𝐞𝐥𝐬 𝐟𝐨𝐫 𝐫𝐞𝐚𝐥-𝐰𝐨𝐫𝐥𝐝 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬. 🏴󠁣󠁬󠁡󠁩󠁿 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 & 𝐍𝐋𝐏 — 𝐁𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐟𝐨𝐫 𝐢𝐦𝐚𝐠𝐞 𝐜𝐥𝐚𝐬𝐬𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧, 𝐨𝐛𝐣𝐞𝐜𝐭 𝐝𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧, 𝐬𝐞𝐠𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧, 𝐭𝐞𝐱𝐭 𝐠𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧, 𝐬𝐞𝐧𝐭𝐢𝐦𝐞𝐧𝐭 𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬, 𝐚𝐧𝐝 𝐋𝐋𝐌 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧. 𝐋𝐋𝐌 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐞𝐫-𝐁𝐚𝐬𝐞𝐝 𝐌𝐨𝐝𝐞𝐥𝐬 — 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 𝐢𝐧 𝐆𝐏𝐓, 𝐋𝐋𝐚𝐌𝐀, 𝐁𝐄𝐑𝐓, 𝐚𝐧𝐝 𝐨𝐭𝐡𝐞𝐫 𝐭𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐞𝐫 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞𝐬, 𝐢𝐧𝐜𝐥𝐮𝐝𝐢𝐧𝐠 𝐞𝐧𝐜𝐨𝐝𝐞𝐫, 𝐝𝐞𝐜𝐨𝐝𝐞𝐫, 𝐚𝐧𝐝 𝐞𝐧𝐜𝐨𝐝𝐞𝐫-𝐝𝐞𝐜𝐨𝐝𝐞𝐫 :

🚀 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!

Hello, my name is Gunjan. I have a handful of professional experiences and research fellowships and have been practicing programming and Data Science for over 4 years. My main interests lie in Machine Learning, Deep Learning, Computer Vision, and NLP/NLU, Data Analytics; I consider these to be my forte and have also published papers related to AI and Data Science in top journals on the same. My expertise is in the following domains: 1) Data Science 2) Artificial Intelligence 3) Machine Learning 4) Deep Learning 5) Natural Language Processing 6) Computer Vision 7) Data Analytics 8) Statistics 9) Data Structures & Algorithms