Hi, I'm Ghanshyam Ghimire — a passionate and driven AI enthusiast currently pursuing a BTech in Artificial Intelligence at Kathmandu University (2024–2028). I specialize in building intelligent systems that bridge theory and real-world impact. What I Do Best Developing machine learning and deep learning models for practical applications like OCR, computer vision, and natural language processing. Working with tools and frameworks like Python, PyTorch, TensorFlow, OpenCV, and Tesseract. What Drives Me Solving real-world problems using AI and data. Contributing to open-source projects and learning through hands-on development. Collaborating with researchers, student communities, and tech enthusiasts to push the boundaries of what's possible. Current Projects KYC verification using AI Nepali Sign Language Translation ( at character level ) Researching on an AR eyewear try-on web app for an e-commerce platform. Waste Management and circular economy using technology.

I am a Machine Learning Engineer, I have over 3 years of experience in the Python language, I worked as a Computer vision and Machine learning engineer in R&D department in AI team at Longevity company, and I also have over 2 years of experience in deploying Machine learning Models and applying techniques including: • NNs (Neural Networks) • CNNs (Convolutional Neural Networks) • RNNs (Recurrent Neural Networks) • LSTMs (Long Short-term Memory) • GANs (Generative Adversarial Networks) I use ML frameworks and libraries to deploying and training models such as: • TensorFlow • PyTorch • NumPy • Pandas • Keras • Sci-kit learn • OpenCV • Matplotlib Over the past four years, I have gained programming skills like Python programming, C programming. Also, I have experience with Machine Learning, Computer vision, Deep Learning and I worked on multiple practical projects such as classification systems, object detection, object tracking systems, OCR systems, image recognition systems, Sentiment Analysis, and Recommendation Systems.

Senior Data Scientist & AI/ML Engineer with 8.5+ years of experience specializing in Generative AI, Machine Learning, Natural Language Processing, Deep Learning, and Computer Vision. I transform complex business challenges into scalable, intelligent solutions that drive measurable results. With a Bachelor's in Computer Science and Master's in progress, I combine strong theoretical foundations with hands-on expertise in building production-ready AI systems that deliver real business value. My comprehensive skill set encompasses the entire ML pipeline and full-stack development: Python for advanced ML/AI implementation, deep learning frameworks (TensorFlow, PyTorch), NLP libraries, computer vision tools, and web technologies (React, Flask, Django, JavaScript, HTML5, CSS3) for deploying user-friendly applications. I architect robust data solutions using MongoDB, PostgreSQL, MySQL, and SQL, ensuring scalability and performance. My track record includes developing enterprise AI models that improved efficiency by 40%+, implementing NLP systems for automated text analysis, and building computer vision solutions with 95%+ accuracy. What distinguishes me is my ability to bridge the gap between cutting-edge AI research and practical business applications. I approach each project with a results-driven mindset, ensuring timely delivery within budget constraints while maintaining exceptional quality. Whether you need custom ML models, GenAI applications, intelligent data pipelines, or end-to-end AI solutions, I provide clear communication throughout the development process and work collaboratively to exceed your expectations. Let's discuss how my expertise in Data Science, Machine Learning, and AI can accelerate your business growth and competitive advantage.RetryClaude can make mistakes. Please double-check responses.

I’m Muhammad Baqir, and I build real-time computer vision systems for robotics, manufacturing, and industrial automation fully deployed on NVIDIA Jetson (Orin NX, AGX, Nano) using YOLOv8, DeepStream, and GStreamer. These aren’t just prototypes. They’re edge-native, low-latency AI pipelines that run reliably in the real world detecting, classifying, and responding in milliseconds with zero cloud dependency. Whether you need high-throughput object detection, real-time hardware control, or multi-camera CV streaming, I deliver full-stack embedded solutions designed for performance, durability, and deployment at scale. 🏗️ What I Build 🔹 YOLOv8 detection pipelines on Jetson (Orin NX, AGX) 🔹 DeepStream + TensorRT inference pipelines 🔹 Modbus/PLC integration for sorting & inspection 🔹 GStreamer-based multi-camera streaming systems 🔹 Jetson performance tuning (batching, memory, latency) 🔹 Qt/FFmpeg interfaces for human-in-the-loop interaction 🛠️ Tech Stack Breakdown Detection & Inference: YOLOv8 · OpenCV · DeepStream · TensorRT Devices: Jetson Orin NX · AGX Orin · Jetson Nano Control Systems: Modbus RTU · GPIO · UART · PLCs Streaming & UI: GStreamer · FFmpeg · Qt · VLC Model Training: PyTorch · Custom/self-supervised classifiers Backend & Interface: Python · C++ · SQLite · MQTT · Flask/FastAPI ✅ What You Get Sub-100ms real-time inference performance Industrial-grade integration (Modbus, GPIO, PLC) Modular, scalable pipelines with documentation Edge-native AI systems engineered for long-term uptime 📬 Let’s Build Your Edge Intelligence If you’re building an AI-powered inspection tool, robotics system, or embedded computer vision product I’ll help you ship it with confidence and optimize it for the field. 📩 Reach out and let’s turn your camera feed into real-world action.

I'm a Data Scientist and Machine Learning Engineer with 5+ years of experience helping SMEs turn messy data, unstructured text, and manual workflows into intelligent, automated systems that drive real business outcomes. My core strength lies in building production-ready ML and NLP solutions, from custom LLM applications and RAG pipelines to fully autonomous AI agents, that don't just work in a notebook but actually perform at scale. I've worked across healthcare, fintech, e-commerce, SaaS, and customer support, and I bring both the technical depth and business thinking to every project. You're probably sitting on thousands of support tickets, internal documents, customer conversations, or operational data that your team processes manually. Leads slip through the cracks, customers wait too long for answers, insights stay buried in spreadsheets, and your competitors are already automating what your team still does by hand. The longer you wait, the more it costs you in time, in errors, and in missed opportunities. 𝐌𝐲 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 𝐔𝐦𝐛𝐫𝐞𝐥𝐥𝐚: 1. LLMs & Generative AI: OpenAI API (GPT-4, GPT-3.5), Claude, Gemini API, LangChain, LlamaIndex, RAG Pipelines, Prompt Engineering, Zero-shot & Few-shot Reasoning, In-context Learning, Text-to-SQL 2. Agentic AI: Multi-agent systems, LangGraph, CrewAI, AutoGen, Tool-use & Function Calling, Autonomous Workflow Agents, Memory & Planning Architectures 3. NLP: Named Entity Recognition, Text Classification, Sentiment Analysis, Semantic Search, Vector Embeddings (OpenAI, Sentence-Transformers), Topic Modeling, Summarization, Wav2Vec2.0, Whisper, HuBERT 4. Machine Learning & Deep Learning: CNN, LSTM, Transformer-based Models, Diffusion Models, LoRA/QLoRA Fine-tuning, Ensemble Modeling, Scikit-learn, XGBoost, PyTorch, TensorFlow 5. Data Science & Analytics: Exploratory Data Analysis, Statistical Modeling, A/B Testing, Forecasting, Pandas, NumPy, SQL, Tableau, Power BI 6. MLOps & Deployment: FastAPI, Flask, Streamlit, AWS (Bedrock, EC2, Lambda), CI/CD Pipelines, Apache Airflow, n8n, PostgreSQL, Vector Databases (Pinecone, Weaviate, ChromaDB) I design and deploy AI systems that automate customer support with 90%+ resolution accuracy, build RAG-powered knowledge assistants that cut research time by 10x, deploy autonomous agents that handle multi-step workflows end to end, and turn raw business data into predictive models that drive smarter decisions. My clients don't hire me for the tech. They hire me for the results. That means fewer manual errors, 60 to 80% faster processing, reduced operational costs, and decision-making backed by real-time intelligence. Whether it's an AI agent saving $50K/year in support overhead or an NLP pipeline that replaces 3 full-time analysts, I build solutions where the ROI is obvious within weeks, not months. Every engagement starts with a 𝐅𝐑𝐄𝐄 𝐂𝐨𝐧𝐬𝐮𝐥𝐭𝐚𝐭𝐢𝐨𝐧 where I assess your data challenge, identify quick wins, and map out a clear roadmap. I deliver production-grade systems with clean documentation, so your team isn't dependent on me forever. 𝗦𝗲𝗻𝗱 𝗮 𝗺𝗲𝘀𝘀𝗮𝗴𝗲 𝗼𝗿 𝗶𝗻𝘃𝗶𝘁𝗲 𝗺𝗲 𝘁𝗼 𝘆𝗼𝘂𝗿 𝗷𝗼𝗯, 𝗰𝗼𝘀𝘁𝘀 𝘆𝗼𝘂 𝗮𝗯𝘀𝗼𝗹𝘂𝘁𝗲𝗹𝘆 𝗻𝗼𝘁𝗵𝗶𝗻𝗴, 𝗮𝗻𝗱 𝘁𝗵𝗲 𝘄𝗼𝗿𝘀𝘁 𝘁𝗵𝗮𝘁 𝗵𝗮𝗽𝗽𝗲𝗻𝘀 𝗶𝘀 𝘆𝗼𝘂 𝗱𝗶𝘀𝗰𝗼𝘃𝗲𝗿 𝘀𝗼𝗺𝗲𝗼𝗻𝗲 𝘄𝗵𝗼 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗴𝗲𝘁𝘀 𝘆𝗼𝘂𝗿 𝘃𝗶𝘀𝗶𝗼𝗻. Thanks Aneeba A.

I hold an M.S. in Computer Science from Karazin National University, with a strong foundation in mathematical analysis and linear algebra, which I apply effectively to solve complex challenges in Machine Learning and Computer Vision. With 6 years of extensive commercial experience, I am an AI Engineer with a proven track record of leading development efforts and contributing to all stages of the product lifecycle, aligning technical advancements with business objectives. My expertise covers all major areas of Computer Vision, including image classification, object detection and tracking, image segmentation, and pose estimation. I have delivered impactful, end-to-end solutions in various fields, such as: - Video-driven Sports Game Action Analysis - Satellite Image Processing - AI-powered Smart Parking Systems - Real-time Video Surveillance Systems I specialize in developing custom neural network architectures for Computer Vision applications, leveraging frameworks like TensorFlow, Keras, and PyTorch, as well as tools like OpenCV, MoviePy, and FFmpeg for efficient image and video processing. My programming expertise spans Python and C++, and I have experience building CV-powered web applications using JavaScript. I have successfully contributed to projects in areas such as Sports Analytics, Parking Surveillance Systems, Satellite Image Processing, and Manufacturing & Analytics for the Beauty and Healthcare industries. Proficient in image classification, object detection, action recognition, and more, I leverage advanced neural networks to deliver effective solutions. In addition to my technical skills, I possess a strong foundation in Discrete Mathematics, Statistics, and Differential Equations, with specialized knowledge in digital signal processing, time-series analysis, and unsupervised learning. While working effectively in team environments, I also understand the importance of business logic and strategic goals. I’ve helped businesses and enterprises achieve their goals, drive financial growth, and automate processes to generate significant gains.

I’m a Data Science Consultant with a passion for turning raw data into clear, actionable insights. With 5+ years in machine learning, predictive analytics, and data visualization, I use Python, Tableau, Power BI, and SQL to create intuitive dashboards and models for retail, tech, and healthcare clients. My work has improved decision-making, boosting efficiency by 15–30%. Certified in Google Data Analytics, I blend AI tools with strategic consulting to deliver ethical, high-impact solutions. Let’s unlock your data’s potential—contact me today! 🌟 Key Skills: Data Visualization, Machine Learning, Predictive Modeling, Python, SQL, Tableau, Power BI 🌟 Industries: Retail, Tech, Healthcare 🌟 Achievements: Designed a dashboard saving 10 hours/week; predicted customer churn with 85% accuracy 🌟 Certifications: Google Data Analytics Professional, Tableau Desktop Specialist

As an accomplished Sr. Python, Data Scientist, ML,AI, I bring a wealth of hands-on experience in harnessing the power of data to drive strategic decisions and add substantial value to organizations. With a passion for transforming raw data into actionable insights, I excel in data analysis, visualization, and predictive analytics. My proficiency spans a wide range of tools and techniques, including Excel, R, Python, Tableau, machine learning, and deep learning Expereinced with LLMs. I have good hand on experience with different types large language models such as Zero-shot model, Fine-tuned or domain-specific models, Language representation model, Multimodal model My expertise in statistical analysis, multivariate testing, and text analysis empowers me to extract meaningful patterns from complex datasets. I've successfully built and interpreted various machine learning models, from Logistic Regression and Naive Bayes to Random Forests and Deep Neural Networks, delivering tangible results on real business data My commitment to innovation, strong work ethic, and effective communication skills make me a valuable asset for any organization. I am highly motivated to leverage my skills and diligence to drive data-driven decision-making, fuel growth, and achieve organizational objectives. If you're seeking a Python, Data Scientist, ML,AI who combines technical prowess with a passion for data-driven problem-solving, I'm here to help your organization thrive For the last 6+ years, I have been providing the following services: ✅ My services include: Python/Django Development AI/ML Development Data cleaning, analysis, and visualization Supervised learning (Classification / Regression) Time series analysis OpenAI,GPT3,4 NLP specialist Natural Language Processing (NLP) Computer Vision (CV) Python Selenium ,Scrapy for web scraping MEAN/MERN Development ✅ I am proficient in implementing Machine Learning Algorithms such as: Linear/Logistic Regression K-Nearest Neighbours (kNN) | Decision Trees | Support Vector Machine (SVM) Ensemble methods (Random Forest, XGBoost, CatBoost, AdaBoost, LightGBM, etc) Neural Network (ANN, RNN, CNN, DNN, etc) Transformers ✅ I use a variety of powerful tools, such as: Python,Django, Matplotlib, Seaborn, Pandas, Numpy, and Dask for data analysis and visualization SpaCy, Gensim, HuggingFaces, and NLTK for NLP tasks Scikit-Learn, Tensorflow, and Keras for implementing Machine Learning models Docker for containerization Let's meet and work together as a team

🚨 𝙔𝙤𝙪𝙧 𝙋𝙧𝙤𝙟𝙚𝙘𝙩 𝙞𝙨 𝙈𝙮 𝙋𝙧𝙞𝙤𝙧𝙞𝙩𝙮 – 𝙊𝙣 𝙏𝙞𝙢𝙚, 𝙊𝙣 𝘽𝙪𝙙𝙜𝙚𝙩, 𝘼𝙡𝙬𝙖𝙮𝙨! 🚨 🎮 Expert in Game & App Development | AR/VR, Machine Learning & AI 🚀 👋 Hey there! I'm a software developer passionate about crafting high-impact mobile apps and games that push boundaries. I specialize in AR/VR, AI, and machine learning—and I’m ready to turn your ideas into polished, innovative experiences. 🔹 What I Bring to the Table: 🎮 Game Development: * Game Engines: Unity, Unreal Engine, and Godot for cross-platform gaming * Game Design: Mechanics, storytelling, and engaging gameplay loops * 3D Modeling & Animation: Blender, Maya – realistic characters, worlds, and effects * Smart NPCs: AI-powered behaviors and dynamic in-game content * Multiplayer: Real-time networking, matchmaking, lobby systems * VR/AR Games: Immersive gameplay for headsets and mobile * Testing & QA: Rigorous testing for stability and polish 📱 Mobile App Development: * Cross-Platform Apps: Flutter & React Native for iOS/Android * UI/UX Design: Intuitive interfaces built for user retention * App Performance: Fast, secure, and battery-efficient apps * AI-Powered Features: Smart recommendations, personalization, voice/image recognition * Mobile AR/VR: Immersive tech on-the-go 🧠 AI & Machine Learning: * ML Models: Text understanding, trend prediction, object recognition * Deep Learning: NLP, image classification, speech translation * AI in Games: Adaptive worlds, smart behaviors, procedural content * Data Insights: Visual dashboards, user analysis * AI + AR/VR: Real-time interactivity with environment understanding 🔹 Tech Stack: * Languages: C++, C#, Python, Swift, Kotlin, JavaScript, Lua * Engines: Unity, Unreal, Godot, CryEngine, Frostbite * 3D Tools: Blender, Maya, ZBrush, 3ds Max * AI/ML: TensorFlow, PyTorch, Keras, OpenCV, scikit-learn * Mobile: Flutter, React Native, Swift, Kotlin * AR/VR: ARCore, ARKit, Vuforia, Oculus SDK, HoloLens * Dev Tools: Git, Perforce, SVN | Jira, Trello, Asana * Sound: FMOD, Wwise, Audacity 🔹 Why Work With Me? 🌟 Quality Obsessed – I aim to deliver work that exceeds expectations 💡 Innovation-Driven – Constantly learning and applying the latest tech ⏱️ Reliable & Timely – I respect deadlines and communicate clearly 🤝 Collaborative – I work closely with you to bring your vision to life 🔹 Let’s Build Something Amazing Have an idea for a game, app, or immersive AR/VR experience? I’m here to help build it—from concept to launch—with top-tier tools and skills. 📩 Drop me a message and let’s get started! 🎮 Portfolio & references available on request 🎮 **Keywords:** ios swift software developer developers mobile app crossplatform marketing kotlin swift ios ui designer ifs erp kotlin developer android ktor multiplatform hybrid app publisher swift swiftui game unity unreal designer designers analytics react natvie flutter 🔄 Updated Apr 2, 2026 🔄

Hello, Thank you for taking time to visit my profile. As a Machine Learning Engineer and Python developer, I have extensive experience working with a range of libraries and frameworks to build robust, scalable applications. Specifically, I have expertise in the following commonly used libraries: NumPy: I have utilized NumPy to perform numerical computations and multi-dimensional array manipulations, especially in scientific and data analysis projects. Pandas: I am proficient in using Pandas for data manipulation and analysis, which is crucial for extracting insights and creating reports that drive business decisions. Matplotlib: I have experience in data visualization and plotting with Matplotlib, which enables me to create insightful and visually appealing visualizations. Scikit-learn: I have expertise in Scikit-learn, a machine learning library that offers a broad range of tools for classification, regression, and clustering tasks. I have used Scikit-learn to build predictive models for various applications. TensorFlow and Keras: I have experience in using these libraries for developing and training machine learning models, especially deep learning models. PyTorch: I have used PyTorch for developing and training machine learning models, particularly deep learning models. Seaborn: I am proficient in using Seaborn for statistical data visualization and graphics, which helps in communicating insights to stakeholders. SciPy: I have used SciPy for scientific and technical computing, particularly in engineering and physics projects. NLTK: I am experienced in using NLTK for natural language processing tasks, such as sentiment analysis and text classification. Overall, my expertise in these popular Python libraries allows me to deliver high-quality solutions that meet the needs of businesses and organizations. With strong analytical and problem-solving skills, I am able to provide efficient, scalable solutions that drive growth and success.