Expert AI research team specializing in Computer Vision, OCR, Deep Learning, and real-time video/image processing. Led by a PhD with 10+ years' experience, delivering scalable, production-ready AI solutions. We are a team of AI researchers and engineers specializing in cutting-edge computer vision systems. Led by a Computer Vision PhD expert with over 10 years of experience, we have successfully delivered real-time image and video processing solutions across a wide range of industries. Our expertise spans: - Segmentation (dividing images into meaningful parts for easier analysis and automation) - Object tracking (following people, vehicles, or items across video frames) - OCR (Optical Character Recognition) (extracting text from images, documents, and video) - Pattern recognition (detecting shapes, motions, and objects automatically) - Visual analytics (analyzing camera feeds and video to extract insights) - Face and gesture recognition (identifying faces, expressions, and hand movements) - Motion analysis (tracking movement patterns for sports, surveillance, or activities) - Embedded vision applications (deploying AI on mobile devices and edge devices like Jetson Nano) We bring to the table deep proficiency in: ✔️ Computer Vision: OpenCV, YOLO-based object detection, segmentation, and long-term tracking ✔️ OCR: Tesseract, PaddleOCR, and EasyOCR integration for document automation, ID scanning, and real-time text extraction ✔️ Deep Learning: PyTorch, TensorFlow, ONNX-based visual models including AAMs, CNNs, and custom architectures ✔️ Real-Time Systems: Streaming video pipelines, edge computing deployments (Jetson Nano, Raspberry Pi), and high-performance inference ✔️ Integration: Cross-platform deployment on web, mobile, and embedded devices From R&D prototypes to production-grade systems, we build vision intelligence into your workflows. If you're seeking a dedicated computer vision partner backed by serious academic and practical experience — let's talk.

I help businesses automate repetitive work using Python, AI, and backend automation systems. Whether you need a web scraping bot, workflow automation, API integration, browser automation, or an AI-powered system, I can build reliable solutions that save time and improve efficiency. Here’s what I can help you with: ✅ Python Automation & Scripts * Task automation * File processing * Workflow systems * Browser automation using Selenium ✅ Web Scraping & Data Extraction * Google Maps scraping * Lead generation tools * Business data extraction * Dynamic website scraping ✅ API Development & Backend Systems * FastAPI & Flask APIs * Third-party API integrations * Automation backends * Database-connected systems ✅ AI & Machine Learning Integration * TensorFlow & Scikit-learn models * OCR & NLP workflows * Computer vision systems * AI-assisted automation tools Why clients work with me: ✔ Clear communication ✔ Fast turnaround ✔ Reliable delivery ✔ Business-focused solutions ✔ Clean and maintainable code If you need someone who can turn manual processes into efficient automated systems, send me a message and let’s discuss your project.

L2/L3 technical support is the strongest part of my background. Most of my work has been in escalations, troubleshooting, and issue ownership — cases that were no longer straightforward and needed proper investigation. My approach is to check logs, understand system behavior, reproduce the issue where possible, document findings clearly, and coordinate with engineering when deeper analysis or a code-level fix is needed. I stay with cases through to resolution. I have worked across cloud and on-prem environments on issues involving APIs, authentication, SSO/LDAP/MFA, ETL and data workflows, storage integrations, and recurring production problems. I have also worked in Zendesk-driven environments where response quality, follow-up, and clear communication mattered alongside the technical fix. My customer-facing experience includes large enterprise organizations across the US and Europe — banking, telecom, insurance, and other high-scale sectors — where the technical issue mattered, but so did clarity, pace, and ownership. My approach on every case: understand the issue properly, gather the right evidence, keep communication clear, document what matters, and move it forward. --- TOOLING AND PLATFORMS - Support platforms: Zendesk · Jira · Salesforce · ServiceNow · Intercom - Log and diagnostic tools: Kibana · Splunk · Elasticsearch · New Relic - Identity and access: Azure AD / Entra ID · ADFS · Okta · LDAP · SAML · MFA - Cloud platforms: AWS · Azure · GCP (across supported environments) - Infrastructure exposure: Docker · Kubernetes · TCP/IP · VPN · Load Balancers - Content and storage integration: SharePoint · Box · S3 SCRIPTING, AUTOMATION, AND DATA - Python — ETL pipeline scripting, API integration, data processing, automation tooling - SQL — PostgreSQL and MS SQL Server; database-level investigation, query-driven root cause analysis - PowerShell — file system automation, metadata extraction, CSV/JSON export pipelines, operational scripting - Power Query (M) — multi-source ETL, schema normalization, incremental refresh, reconciliation workflows - Excel VBA — orchestration, validation, reporting automation, self-service operational tooling - REST API — integration troubleshooting, structured request/response analysis, consumption scripting - Power BI — dashboard-ready data preparation, operational reporting, visualization - Automation — Zendesk and Jira triggers, webhooks, workflow automation, AI-assisted routing AI AND LLM WORK - LLM integration — built AI-assisted support automation via Zendesk and Intercom with LLM pipelines; reduced response times and improved resolution accuracy - RAG pipelines — semantic retrieval, automated validation, LLM output consistency workflows - Prompt engineering and AI workflow design for support-side automation - Apache Airflow — workflow orchestration across ETL and data pipeline projects

Stop wasting hours on manual workflows and heavy data processing. I engineer reliable Python and AI automation systems for businesses, specializing in neural networks, big data analysis, and scalable web infrastructure. Here's what I can do for you: ✅ Video Automation Pipelines: Building custom tools with MoviePy to generate content for platforms like YouTube and TikTok automatically. ✅ Real Estate & Business Automation: Creating systems that turn raw data into branded presentation videos in minutes. ✅ AI & Data Engineering: Implementing neural networks and handling heavy data analysis using PyTorch, NumPy, and Pandas. ✅ Web Scraping & Infrastructure: Extracting data from the web and deploying stable environments using Docker. ✅ Custom Scripting: Writing clean, maintainable code in Python, Java, or C# to replace manual workflows. Send me a message if you need to automate a video workflow or process data efficiently. Let's discuss what you need. ☀️

🚀 Senior Python & Machine Learning Engineer | AI Consultant | Low-Code/No-Code Automation Architect With 7+ years of hands-on experience at the intersection of AI/ML engineering, cloud architecture, and process automation, I specialize in building intelligent systems that drive business innovation, scalability, and operational efficiency. I architect and deploy end-to-end AI/ML solutions across cloud ecosystems like AWS, Azure, and Google Cloud, delivering production-grade models for computer vision, NLP, and multimodal tasks. My approach combines traditional full-stack Python development with the agility of low-code/no-code platforms, enabling organizations to reduce time-to-market and accelerate digital transformation initiatives. 🧠 Technical Proficiency & Core Specializations 🧩 Programming & Frameworks Languages: Python, MATLAB, SQL, Bash Libraries/Frameworks: PyTorch, TensorFlow, Keras, OpenCV, Flask, FastAPI, Streamlit, PyQt, Tkinter 📈 Machine Learning & AI Subdomains: Deep Learning, Computer Vision, NLP, Prompt Engineering, Time Series Forecasting, Anomaly Detection, Recommendation Systems Key Techniques: Transfer Learning, Ensemble Methods, Hyperparameter Tuning (Bayesian, Grid, Random), Cross-Validation, Model Explainability (SHAP, LIME) 🧠 Model Proficiency CV Models: YOLOv5/v8/v9, YOLO-NAS, SAM, Mask-RCNN, DeepLabV3, U-Net, EfficientNet, FaceNet, ArcFace, MediaPipe Generative Models: SRGAN, Pix2Pix, DCGAN, StyleGAN2, CycleGAN, DALL·E, Stable Diffusion, Runway Gen-2 Tracking & Detection: DeepSort, ByteTrack LLMs & Multimodal: GPT-3.5/4/4o, LLaMA 3.1, Mistral, Phi-3.5, Qwen 2.5, CogVLM 19B 🧠 LLM Engineering & Multimodal AI Frameworks: LangChain, LlamaIndex, LangGraph, CrewAI, AutoGen Deployment & Optimization: Ollama, vLLM, LlamaCPP, TensorRT-LLM, Hugging Face Hub, AWS SageMaker, Azure ML Fine-Tuning & Customization: PEFT, LoRA, QLoRA, RLHF 🔍 Data Science & Engineering Tooling: Pandas, NumPy, Scikit-learn, SciPy, Matplotlib, Seaborn, Plotly, MySQL, PostgreSQL, MongoDB, BigQuery, Snowflake Pipelines: Apache Airflow, Kubeflow, MLflow, DVC, Feature Stores, ETL/ELT workflows Big Data: Apache Spark, Kafka, Data Lakes, Delta Lake 🛠️ MLOps & DevOps Deployment: Docker, Kubernetes, CI/CD, GitHub Actions Monitoring: Model Drift, Model Interpretability, Real-time Inference Pipelines Security: Data Governance, Model Auditing, API Authentication ⚙️ Automation & No-Code/Low-Code Platforms Tools: Bubble.io, n8n, Make.com (Integromat), Zapier, Retool, Appgyver, OutSystems, Mendix Use Cases: Workflow Automation, AI Agent Integration, Microservice Orchestration, Digital Process Transformation Enterprise Platforms: Microsoft Power Automate, Apache NiFi, KNIME, DataRobot, H2O.ai 🧬 What Sets Me Apart ✅ State-of-the-art expertise in AI/ML and LLM integration ✅ Fast, functional, and scalable prototyping to production ✅ Deep understanding of data-centric design & automation architecture ✅ Clean, modular codebases following best practices (PEP8, SOLID, CI/CD pipelines) ✅ Collaborative, communicative, and delivery-focused approach 🤝 Let’s Connect Whether you’re looking to deploy advanced AI agents, automate complex business workflows, or need consultation for scalable AI-driven architecture, I bring the technical depth and strategic insight to help your business thrive in the era of intelligence. Keywords:- Python, NumPy, Pandas, SciPy, Scikit-learn, TensorFlow, PyTorch, Keras, OpenCV, NLTK, SpaCy, Transformers, BERT, GPT, XGBoost, LightGBM, CatBoost, FastAI, JAX, ONNX, DVC, MLflow, Airflow, Kubeflow, Hugging Face, Matplotlib, Seaborn, Plotly, Streamlit, Flask, FastAPI, REST API, GraphQL, JSON, YAML, PyCaret, Auto-sklearn, H2O.ai, DataRobot, KNIME, Apache NiFi, Microsoft Power Automate, Zapier, Make.com, Appgyver, OutSystems, Mendix, Bubble.io, Retool, AWS SageMaker, Azure ML, Google Vertex AI, Google Colab, Jupyter Notebook, DataWrangler, Feature Store, Feature Engineering, Model Deployment, Model Monitoring, Model Interpretability, SHAP, LIME, Hyperparameter Tuning, Grid Search, Random Search, Bayesian Optimization, Cross-validation, Ensemble Learning, Transfer Learning, Reinforcement Learning, Supervised Learning, Unsupervised Learning, Semi-supervised Learning, Clustering, Classification, Regression, Natural Language Processing, Computer Vision, Time Series Analysis, Anomaly Detection, Edge AI, MLOps, DevOps, Git, Docker, Kubernetes, CI/CD, Linux, Bash, SQL, NoSQL, PostgreSQL, MongoDB, BigQuery, Snowflake, Data Lake, Data Pipeline, ETL, ELT, Apache Spark, Apache Kafka, Data Governance, Data Security, Prompt Engineering, Generative AI.

I have over a decade of experience working with technology and managing software projects. I have supervised and led the technical execution of multimillion-dollar contracts for my clients with tech companies such as Microsoft, Google and AWS as well as public entities such as the Swedish government. My greatest satisfaction is using state of the art technology to bring competitive innovation to businesses. I have supervised research papers from different universities in Sweden regarding machine learning and statistics, as well as successfully leading and managing distributed teams of software developers. My experience includes but is not limited to: -Data Extraction from PDFs using RAG -LLM Applications -Efficient Interfaces for Data Labeling at Scale -Automatic Speech Recognition Software -Inference and Productization of Machine Learning Models -R&D Management

• Specialist in finance and economics with experience in private equity, investment banking, investment research, corporate valuation and quantitative finance • Proficient in creating quantitative models on Python (Jupyter notebooks) and Microsoft Excel to solve problems and uncover data-driven insights • Organised and systematic, value honest and open communication --------------------------------- PROJECT LIST DATA ENGINEERING AND PROCESSING FRAMEWORKS • Throughout my masters, independent coursework and work experience, I have dealt with projects which required building automated data capturing and processing frameworks • Data processing framework in Python to interact with APIs of data providers like FRED, NASDAQ Data Link, OECD Stat for importing raw data and carrying out several data processing steps like frequency conversion, adjustments for data release dates, units of measurement etc. • I have written Python scripts to automate the job application process. These scripts scrape jobs from websites of target companies, display new vacancies in one place & save them in a database for future reference • I also worked on a dataset of signals on an ETF to assess their effectiveness. To do this, I carried out a number of data pre-processing and pipeline construction steps in Python using a Jupyter notebook environment ECONOMETRICS • I have used ARIMA-GARCH, VARMA-Multivariate GARCH & VECM models to create a trading strategy using Gold, Equity ETF returns & Bitcoin returns • I also used R in a project which required the use of various time series techniques to predict monthly natural gas consumption in Illinois, US MACHINE LEARNING AND PREDICTION • Ran several unsupervised (PCA, K-means) and supervised (CART, SVM, NN) ML algorithms on 35-dimensional ETF dataset • I undertook a causal study of ETF returns across 11 US sectors and 19 economic indicators across 3 buckets (leading, coincident, lagging) using linear and lasso regressions, CART and K-means algorithms. I then classified each of these ETFs into leading, coincident and lagging buckets • This was followed by derivation 165 combinations of efficient 3-ETF portfolios using the Critical Line Algorithm, and their comparison with 3-PC portfolio. I then studied the relationship between returns of the 165 portfolios and weight allocation to leading, coincident and lagging economic indicators • Created an image recognition algorithm which distinguishes cats from ‘non-cats’ • Implemented a two-class classification, 3-layered deep neural network for planar data classification using non-linear activations. Write forward and back propagation algorithms from scratch to fit the DNN’s parameters • Wrote code to apply L2 regularisation with dropout to a deep learning model that recommends positions to football players • Built a gradient checking algorithm to check for any errors in the implementation of a fraud detection deep neural network model • Apply optimisation algorithms like stochastic gradient descent, momentum, RMSProp and Adam to speed up convergence and improve optimisation of a deep neural network’s parameters BACKTESTING AND ANALYTICS • I am testing a variety of trading algorithms on multi-asset portfolios using Python libraries for data manipulation and ML like NumPy, Pandas, Sci-kit Learn etc. • I also run optimisation exercises using Python libraries like SciPy to find optimal levels of that algo's parameters • I then use the Dash framework in Python to build interactive analytics dashboards to display the algo's results for a customisable set of inputs and parameters SIMULATION AND CALIBRATION • Monte Carlo simulations for barrier options pricing, yield curve fitting (NSS) • Construction, testing and validation of a robust model to price a basket of 5 nth-to-default CDS FINANCIAL MODELLING • Equity research report on Associated British Foods (ABF) using Discounted Cash Flow (DCF) and residual income valuation • 3-statement (income statement, balance sheet, cash flow statement) financial modelling and projections for Chewy Inc. • Presentation deck pitching PropTech start-ups offering home ownership and senior housing solutions for millennials and the silver economy respectively • Strategic pitch analysing expansion opportunities across potential European cities for a real estate company offering co-living spaces --------------------------------- INDEPENDENT COURSEWORK (Please refer to the Certifications section) • 6-course Python for Everybody specialisation • SQL for Data Science • Introduction to Cloud Computing • Machine Learning • Neural Networks and Deep Learning • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization • Structuring Machine Learning Projects --------------------------------- DEGREED QUALIFICATIONS • MSc in Financial Engineering • Chartered Financial Analyst (passed 2 levels) • MSc in Management (Finance) • BA (Hons) Economics

As a Top Rated Plus developer with over 7 years of experience, I specialize in building scalable web applications and advanced AI solutions. My background ranges from technical leadership roles to hands-on development, ensuring I deliver code that is efficient, secure, and architecturally sound. I am currently focused on the cutting edge of Generative AI, developing RAG (Retrieval-Augmented Generation) pipelines and agentic workflows using tools like LangGraph. Whether you need a complex SaaS platform, a custom AI agent, or a robust automation system, I have the engineering pedigree to deliver it. AI & LLM Expertise - RAG Pipelines: Building context-aware AI systems that retrieve and process private data accurately. - Agentic Workflows: Orchestrating complex, multi-step AI tasks using LangGraph and LLM frameworks. - Integration: Seamlessly embedding models (OpenAI, Anthropic, Llama) into production applications. Core Tech Stack - Languages: Python, JavaScript/TypeScript, Dart, PHP, C/C++. - Backend & APIs: Django, Flask, FastAPI, Laravel, Node.js. - Frontend: Vue.js, React, Next.js, TailwindCSS, Bootstrap. - Mobile & Desktop: Flutter (iOS, Android, Desktop), Electron. - Automation & Scraping: Selenium, Playwright, Scrapy, BeautifulSoup. - Databases & Vector Stores: PostgreSQL, MySQL, MongoDB, Redis, Pinecone/Weaviate (for RAG). - DevOps: Docker, Git, Linux, CI/CD pipelines, AWS. Services I Offer - AI & LLM Solutions: Custom chatbots, RAG systems, and autonomous agents. - Full Stack Development: End-to-end creation of responsive web and mobile applications. - Automation & Scripting: Bots and scripts to automate repetitive business workflows. - Advanced Web Scraping: Data mining from complex, dynamic websites. Why Work With Me? - Gold Medalist Software Engineer: I hold a BS in Software Engineering with a strong foundation in algorithms and system design. - Clear Communication: Fluent in English, I bridge the gap between technical complexity and business requirements. - Problem Solving: I excel at critical thinking and delivering creative solutions to "impossible" problems. - Documentation: I provide comprehensive documentation to ensure your project is maintainable long-term. Let’s build the future. Invite me to your job, and let's discuss how I can help you achieve your goals. My portfolio: musmannaeem com

Hi, I am a Machine Learning Engineer with a strong background in developing and optimizing AI systems, particularly in the areas of: Large Language Models (LLMs) and Transformers: I specialize in building, fine-tuning, and deploying state-of-the-art language models to solve complex problems in natural language processing (NLP), conversational AI, and more. Python Programming: I have extensive experience in Python, leveraging it to create efficient, scalable solutions for machine learning, automation, and data analysis tasks. OpenSearch Expertise: I work with OpenSearch to design and implement highly efficient search and indexing systems, ensuring data is easily accessible and usable for large-scale applications. Database Management: I have hands-on experience with MongoDB and MySQL, working on scalable, robust database solutions for handling structured and unstructured data. Google Cloud Platform (GCP): I leverage GCP services for deploying machine learning models, managing data, and building cloud-native applications that scale effortlessly. Automation: I automate workflows and processes, improving efficiency and accuracy in various business operations, from data pipelines to deployment systems. With a passion for innovation, I strive to help businesses harness the power of AI and machine learning to unlock new opportunities and streamline their operations.

Hi All, I am a Python Developer with over 5 years of experience specializing in end-to-end automation, sophisticated web scraping, and custom software development. I bridge the gap between complex data challenges and efficient, scalable solutions. My expertise lies in navigating highly secured digital environments and transforming raw information into actionable data. 𝐖𝐡𝐲 𝐖𝐨𝐫𝐤 𝐖𝐢𝐭𝐡 𝐌𝐞? I provide one year of complimentary free technical support for every successful deployment. I focus on building resilient tools that don't just work today, but continue to perform long-term. 𝐒𝐤𝐢𝐥𝐥𝐬 Web Automation: Playwright, Selenium, DrissionPage; headless + stealth workflows Web Scraping & Data Extraction: HTML parsing, pagination, concurrency, resilient retries Anti-Bot & CAPTCHA Handling: reCAPTCHA v2/v3 Enterprise, Cloudflare Turnstile, DataDome, Imperva; proxy rotation and fingerprint-aware flows API Development: FastAPI, REST, async endpoints, background jobs, webhooks API Integration: OAuth2, JWT, third-party APIs, rate-limit handling, robust error handling Chatbots: Telegram/Discord/Slack bots, webhook-based bots, automation-trigger bots, AI/LLM integrations when needed Chrome Extensions: Manifest V3, content scripts, background/service worker, automation helpers, DOM tooling Data Processing: Pandas, NumPy; cleaning, deduplication, merging, reporting/export PDF Automation: Table/text extraction, structured parsing, OCR when needed Image Processing: OpenCV, Pillow; preprocessing, detection, OCR pipelines Form Automation: Multi-step submissions, file uploads, validation handling, captcha-aware flows Desktop Apps: PyQt6, Tkinter, internal tools, dashboards, automation GUIs Databases: SQLite, PostgreSQL/MySQL basics; ORM patterns when needed DevOps/Runtime: Linux, VPS deployment, Docker basics, logging/monitoring, cron/worker setups