I am an Electrical Engineer. I completed my undergraduate with a 100 percent merit scholarship. With commendable academic performance, I have hands-on experience working on projects in automation, deep learning, and image processing domains. Finally, I have experience managing events and opportunities for women empowerment through the Women in Tech (WiT) Karachi chapter of Microsoft Student Partner (MSP) and Women in Science and Engineering (WiSE) club at Habib University.

With 7+ years of experience in AI/ML, I focus on building solutions that are not just technically sound but also practical and valuable in real-world scenarios. My work is driven by research, experimentation, and selecting the right technologies for each unique problem. 🔹 Where I Add Value I have strong hands-on experience in Computer Vision / Machine Vision, working on problems such as: * Object detection and recognition * Multi-camera tracking and digital twin systems * Face recognition and human pose estimation * Edge AI and real-time inference * Inspection systems and anomaly detection * OCR and text extraction * Data preparation including segmentation, augmentation, and synthesis 🔹 Machine Learning Expertise Depending on the problem, I apply a wide range of ML techniques: * Supervised Learning: Classification, Regression * Unsupervised Learning: Clustering, Dimensionality Reduction * Semi-supervised learning * Reinforcement learning 🔹 NLP & AI Systems Alongside vision, I’ve worked on intelligent systems involving: * GPT-based models (GPT-3, GPT-4) and LangChain workflows * Text summarization and content generation * Recommendation systems (feature-based, user-based, hybrid) * Sentence similarity and semantic analysis * Conversational AI and dialog systems * Speech processing (ASR, speech synthesis) * Machine translation 🔹 Deep Learning Applications I’ve applied deep learning across multiple real-world use cases: * Multi-camera tracking systems * Autonomous drones * Chatbots and service bots * Predictive analytics solutions I’ve also worked closely with startups and businesses to build MVPs and POCs, helping them validate ideas and move faster toward production. ✔️ Open to signing NDAs for confidential projects ✔️ Additional demos and project details available on request If you’re looking to build something in AI or want to explore a new idea, feel free to reach out happy to discuss and contribute. Best regards Disha

I have extensive experience in Computer Vision, Deep Learning, AI/ML, and Data Science, focused on creating impactful solutions that address real-world challenges. I specialize in transforming complex concepts into practical systems that meet and exceed client expectations. Whether it's building efficient models for object detection, classification, segmentation, or delivering insightful data analysis, I am dedicated to creating solutions that add value and drive success. **𝗦𝗞𝗜𝗟𝗟𝗦:** - Data Wrangling, Feature Engineering, Predictive Modeling - Machine Learning & Deep Learning Models, Data Analysis - Algorithm Development & Optimization - Object Detection, Classification, Instance & Semantic Segmentation - Face Detection & Recognition, Object Tracking, Re-Identification - Pose Estimation, Action Recognition - Image & Video Annotation, High Precision Bounding Boxes & Segmentation Masks - Frame Differentiation, Motion Detection, Change Detection - Model Deployment & Training, Hyperparameter Tuning - Data Visualization & Reporting, Feature Importance Analysis - Real-Time Video Processing, Edge AI Deployment, Model Integration into Applications **𝗧𝗢𝗢𝗟𝗦 𝗜 𝗨𝗦𝗘:** - YOLO (YOLOv8, YOLOv9, YOLO-NAS, YOLOv10), ByteTrack, BoT-SORT - DeepFace, FaceNet512, Dlib, RetinaFace, MediaPipe - CVAT (Computer Vision Annotation Tool), Roboflow - FastAPI, Python (NumPy, Pandas, Scikit-Learn, TensorFlow, PyTorch), OpenCV - Jupyter, Google Colab, SQL for Data Analysis, VSCode - Matplotlib, Seaborn, Plotly for Data Visualization When you work with me, you're not just hiring a technical expert—you’re gaining a partner who is committed to your success. I take pride in delivering solutions that are technically sound, practical, and aligned with your business goals. Let’s work together to create something exceptional and ensure your project's success.

Hi, I'm Zeeshan 👋 Give me something to build and i'll build it so it works for you 24/7. Thats my promise! If you shoot me a invitation or message ill send you a personalised loom video back on how i may be able to help you!... I’m a Computer Vision & Document AI Engineer with more than half a decade of experience building production-grade image and video intelligence systems not demos, not notebooks. My core expertise is image processing and computer vision, especially where data is messy, multilingual, scanned, or operationally constrained. What I Actually Build: 1. OCR & Document Image Processing I design end-to-end OCR pipelines for real-world documents: Urdu & English OCR (printed + complex layouts) Preprocessing: binarization, skew correction, denoising, layout analysis Text detection & bounding-box post-processing Tesseract, custom deep-learning OCR, Pix2Text Searchable archives using FAISS & vector indexing 2. Computer Vision for Images & Video I build vision systems that generate usable metadata: Object detection, tracking, segmentation (YOLO-based pipelines) Video-to-metadata systems for analytics and downstream automation Image classification and visual feature extraction High-performance OpenCV + PyTorch pipelines 3. Vision-Driven AI Applications When needed, I wrap CV systems into clean, usable products: Flask / FastAPI backends for vision services OCR-powered document portals Image & video search using embeddings RAG pipelines only where they add real value I’m a strong fit if you need image processing, OCR, or computer vision systems that must actually work in production especially for scanned documents, archives, or video data. EXPERTISE: AI Automation | Computer Vision | Sports Analysis | Image Processing | OCR | Mediapipe | Landmarks detection | Object Detection | Object Classification | Doucment Automation | Deep Learning | RAG | Tensorflow | PyTorch | Sign Language Production | GANs | Diffusion Models | Vision Transformers

Top-Rated professional with 8+ years of experience in machine learning, deep learning, artificial intelligence, data science, and predictive analytics. I design, train, and deploy production-grade models in natural language processing (NLP), computer vision, reinforcement learning, and retrieval-augmented generation (RAG) using cutting-edge frameworks like PyTorch, TensorFlow, Keras, and Hugging Face Transformers. My strength is delivering end-to-end AI solutions—from data engineering and feature engineering to MLOps and cloud deployment—on AWS SageMaker, Google Cloud Vertex AI, Docker, and Kubernetes. CORE SERVICES • Large Language Model (LLM) Development • Custom GPT-4, GPT-3.5, Llama 3, Mixtral, and open-source transformer fine-tuning • Retrieval-augmented chatbots, question-answering systems, knowledge-base search • Prompt engineering, evaluation, and agentic workflows with LangChain, LangGraph, LlamaIndex, LangFlow • Computer Vision and Multimodal AI • Image classification, object detection, segmentation, OCR, and visual search • Vision-language models, CLIP, BLIP, and multimodal transformers for product recommendation and analytics • YOLO, Detectron2, OpenCV, and TensorRT optimization for edge and cloud • Advanced Machine Learning & Deep Learning • Supervised learning, unsupervised learning, reinforcement learning, semi-supervised learning • Neural networks, CNN, RNN, LSTM, Transformers, BERT, RoBERTa, FastText, XGBoost, LightGBM, CatBoost • Time-series forecasting, anomaly detection, recommender systems, speech recognition, audio processing • End-to-End MLOps and Data Engineering • Data pipelines, ETL, Apache Spark, feature stores, CI/CD, GitHub Actions • Scalable deployment on AWS, GCP, Docker, Kubernetes, serverless functions • Monitoring, drift detection, automated retraining, model registry, and A/B testing IMPACT HIGHLIGHTS • Boosted recommendation accuracy by 22 percentage points with deep collaborative filtering and matrix factorization • Cut inference latency 40 % using GPU optimization, TensorRT, and autoscaling clusters • Reduced cloud costs 30 % through optimized resource allocation and spot instances • Delivered more than 50 production AI projects across e-commerce, fintech, healthcare, and SaaS TECHNICAL STACK Python, SQL, Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow, Keras, Hugging Face Transformers, SpaCy, NLTK, FastText, BERT, RoBERTa, OpenCV, YOLO, Detectron2, CLIP, BLIP, TensorRT, Apache Spark, Docker, Kubernetes, AWS (EC2, S3, SageMaker, Lambda), Google Cloud (Vertex AI, BigQuery, Cloud Functions), Git, GitHub Actions, Tableau, Power BI, Matplotlib, Seaborn, R-Shiny EDUCATION AND CERTIFICATIONS • MSc in Data Science, University of Waterloo (full-merit scholarship). Thesis in multimodal NLP and computer vision • BSc in Computer Science, University of Bradford (Top 1 %, merit scholarship) • 20+ professional certificates: Stanford Deep Learning, Machine Learning and NLP specializations, Google TensorFlow Developer, Google Data Analytics, AWS Certified Machine Learning, Google Cloud Professional Data Engineer WHY HIRE ME • Proven ability to translate complex deep-learning research into scalable cloud solutions that raise accuracy, speed, and ROI • Expertise across the full data lifecycle: data collection, preprocessing, feature engineering, model training, hyperparameter tuning, deployment, monitoring, and maintenance • Clear, prompt communication in English, reliable delivery, and transparent project management using Agile and Scrum Invite me to discuss how we can apply cutting-edge machine learning, deep learning, and AI to solve your business challenges and accelerate growth.

I’m a Data Scientist and AI/ML & AI Automation specialist helping organizations turn complex data into measurable business outcomes through applied AI/ML, predictive modeling, and end-to-end machine learning systems. I hold a Bachelor’s degree in Computer Science and a Master’s in Data Science focused on artificial intelligence and machine learning, supported by hands-on experience building production-grade AI, ML automation, and MLOps pipelines using Python, SQL, and modern data platforms. Proven Enterprise Delivery • Omnichannel Retail & E-commerce Analytics: Unified Shopify, advertising platforms, GA4, and POS systems into a single analytics layer, enabling centralized visibility across sales, marketing performance, and inventory optimization. • Logistics & Fulfillment Automation: Delivered AI-driven automation and ETL pipelines for operational reporting, enabling near–real-time insights across logistics and fulfillment workflows. • B2B SaaS / BI Product (Applied AI/ML): Architected and built the core machine learning engine embedding predictive analytics and predictive modeling directly into a production BI platform. • Government & Public Sector (Enterprise Data Architecture): Designed a national-scale data strategy, analytics architecture, governance framework, and API monetization roadmap. • Banking & Financial Services: Built enterprise data warehouses and data engineering pipelines consolidating 10+ systems, supporting analytics, BI, and downstream machine learning use cases. What I Help Clients With • Applied AI/ML & data science solutions aligned to business use cases • Predictive analytics, predictive modeling, and forecasting • ML automation, MLOps, and production deployment • Feature engineering, data engineering, and ETL pipelines • Business intelligence and analytics that support AI-driven decisions • Translating complex AI and ML outputs into clear, actionable insights 𝗦𝗸𝗶𝗹𝗹𝘀 | 𝗧𝗼𝗼𝗹𝘀 | 𝗦𝘁𝗮𝗰𝗸 Machine Learning & Data Science • Machine Learning • Predictive Modeling • Supervised Learning • Unsupervised Learning • Forecasting • Exploratory Data Analysis • Feature Engineering • Model Evaluation Data Engineering & Platforms • Data Engineering • Data Warehousing • ETL Pipelines • SQL • PySpark • Azure Data Lake • Azure Databricks MLOps & Deployment • MLOps • Azure Machine Learning • Model Deployment • ML Pipelines • Production ML Systems Business Intelligence & Analytics • Business Intelligence • Tableau • Power BI • Metabase • Google Data Studio • Dashboard Development Programming & Databases • Python • R • MySQL • Azure SQL • Vertica Marketing & Product Analytics • Google Analytics • Product Analytics • Digital Analytics • Conversion Tracking Let’s connect to discuss how I can help design and deliver your data, analytics, or AI initiatives. Best,

𝑴𝒐𝒔𝒕 𝒄𝒐𝒎𝒑𝒂𝒏𝒊𝒆𝒔 𝒅𝒐𝒏'𝒕 𝒉𝒂𝒗𝒆 𝒂𝒏 𝑨𝑰 𝒑𝒓𝒐𝒃𝒍𝒆𝒎. 𝑻𝒉𝒆𝒚 𝒉𝒂𝒗𝒆 𝒂 "𝒏𝒐𝒃𝒐𝒅𝒚 𝒃𝒖𝒊𝒍𝒕 𝒕𝒉𝒆 𝒓𝒊𝒈𝒉𝒕 𝒔𝒚𝒔𝒕𝒆𝒎 𝒚𝒆𝒕" 𝒑𝒓𝒐𝒃𝒍𝒆𝒎.  That's what I fix. As an AI integration specialist, AI agent builder, and AI generation engineer, I help product teams automate complex workflows, cut manual overhead by 30 to 50%, and ship intelligent features in weeks rather than quarters. Over 5 years across healthcare, fintech, ecommerce, and media, I have partnered with 25+ companies to bring AI from concept into production, delivering systems that run reliably and create measurable business outcomes from day one. My job as an AI integration specialist is to close the gap between "we want to use AI" and "it is running in production." Good AI integration does not start with picking a model. It starts with understanding the workflow, the data quality, and what success looks like. I have done enough AI integration work to know that most projects fail at the requirements stage. Strong AI integration means asking the uncomfortable questions early. Each AI integration project I deliver connects cleanly to the existing stack: wiring a Machine Learning model into a React frontend, building a Node.js API layer between a GPT pipeline and a legacy system, or configuring AI Model Integration through Zapier and custom webhooks. The AI integration work I value most is not the most complex. It is the most precise. When AI integration is done right, it creates leverage that compounds over time. As an AI agent builder, I build autonomous systems that handle real business tasks without constant human supervision. An AI agent builder working on customer support automation thinks about conversation flow, escalation logic, and edge cases the system has never seen. An AI agent builder building a document processing pipeline thinks about extraction confidence and what happens when the model is uncertain. I have shipped as an AI agent builder on platforms handling thousands of daily interactions, using Natural Language Processing, GPT, Deep Learning, and AI Model Integration to connect intelligent behavior to real business systems. The best AI agent builder outcomes reduce manual processing time by 60 to 80%. Strong AI agent builder thinking means designing failure modes as carefully as the happy path. I have worked as an AI agent builder on email triage systems, lead qualification pipelines, RAG-based knowledge retrieval agents built on Artificial Neural Network architectures, AI Bot implementations, and computer vision inspection tools across multiple industries. An experienced AI agent builder knows that autonomous behavior only creates value when the system is auditable and maintainable long after the engagement ends. The AI generation side covers natural language generation, content generation, and creative automation at scale. As an AI generation specialist, I build systems producing structured, high- quality output across formats: written content, data summaries, product descriptions, and visual assets. Good AI generation is not just prompting a model. Strong AI generation requires prompt engineering, output validation, quality filtering, and human review checkpoints. I deliver AI generation pipelines in Python, integrated with Node.js, JavaScript, and React, producing consistent nlg output at volume. Whether a business needs AI generation for content at scale, automated reporting, or natural language generation summaries from Data Analysis and Data Science pipelines, the challenge is the same: making AI generation reliable enough to trust in production. I have shipped AI generation systems for ecommerce, media, and internal documentation using TensorFlow, PyTorch, LangChain, and Computer Vision layers. The most mature AI generation work combines content generation with quality gates that catch what the model gets wrong. I work as a Python developer, data scientist, full stack developer, web developer, and digital consultant depending on what the engagement requires. The AI machine learning and GPT work I do is always grounded in a business outcome, never a technical showcase. Whether you need an AI integration specialist to connect intelligent features to your stack, an AI agent builder to automate complex workflows end-to-end, or an AI generation engineer to build content generation and NLG pipelines at scale, I bring technical depth, product judgment, and direct communication to every engagement.

👋 Expert Machine Learning, Generative AI Engineer and Full Stack Web Development. I am passionate about solving complex problems and making a positive impact. I bring experience across various projects, specialising in Machine Learning, Generative AI, and Cloud solutions. My expertise includes leveraging tools and frameworks such as Pandas, Matplotlib, Seaborn, Scikit-Learn, OpenCV, TensorFlow, PyTorch, Hugging Face Transformers, LangChain, ChatGPT, Gemini, Llama, Cohere, Pinecone, LlamaIndex, and more to build innovative solutions. I am an AWS Certified Generative AI Developer Professional, AWS Certified Machine Learning Engineer Associate, AWS Certified AI Practitioner, Google Cloud Certified Associate Cloud Engineer, Google Cloud Certified Generative AI Leader, a Databricks Certified Generative AI Engineer Associate, and an Oracle Cloud Infrastructure 2024 Generative AI Certified Professional. I am skilled in data analysis, predictive modelling, sentiment analysis, classification, regression, clustering, and object detection. My strong foundation in Python, JavaScript, and SQL, coupled with experience developing REST APIs, enables me to create robust solutions. I am also well-versed in cloud computing, with expertise in deploying machine learning models on both Google Cloud and AWS. 🚩AREA OF EXPERTISE ----------------------------------- ✔️ LLM Fine-tuning & Deployment ✔️ Generative AI Applications ✔️ Retrieval-Augmented Generation (RAG) ✔️ Machine Learning (ML) and Deep Learning(DL) ✔️ Data Analysis and Visualisation ✔️ Natural Language Processing(NLP) ✔️ Time series forecasting, Anomaly detection ✔️ AI Applications building using open-source models and Hugging Face tools ✔️ GCP & AWS AI Services ✔️ API Development 🚩TECHNICAL SKILLS -------------------------------------------------------- ✔️ Python, JavaScript, SQL ✔️ LangChain | LangGraph | LlamaIndex | Autogen | Swarm | CrewAI | OpenAI GPT-4o | Claude | Gemini | Llama 3 ✔️ Pinecone | Qdrant | Chroma | FAISS ✔️ Numpy, Pandas, Jupyter Notebook, Matplotlib, Seaborn, Plotly ✔️ SciKit-Learn, NLTK, BeautifulSoup, Statsmodel ✔️ TensorFlow, Keras, PyTorch, PyTorch Lightning ✔️ OpenCV, Scikit-Image, Pillow, Tesseract ✔️ DNN, CNN, RNN/LSTM, GAN ✔️ Hugging Face Transformers, ✔️ FastAPI, Flask, Streamlit I believe clear communication is key to success, and I prioritise understanding my clients' needs and vision. I'm excited to apply my skills to new challenges and am confident in making valuable contributions to any team. Thank you for considering my profile, and I look forward to the opportunity to work with you soon.

Hi, I'm Aveen Faheem — a Data Scientist and AI Engineer with 6+ years of experience helping businesses turn messy data and manual workflows into automated, actionable systems. I specialize in building AI agents and automation pipelines that connect directly to your existing tools (CRMs, WhatsApp, Instagram, and more), alongside core data science work — from predictive models to dashboards that actually get used. How I can help you: - Build custom AI agents (chat, voice, and workflow automation) connected to your CRM or business tools - Turn raw data into clear, decision-ready dashboards and reports - Design and deploy machine learning & deep learning models - Clean, mine, and structure large or messy datasets - Apply NLP for chatbots, sentiment analysis, and text automation - Scale solutions on Azure and Big Data stacks (Hadoop, Spark) Tech stack: Python · SQL · Machine Learning · Deep Learning · NLP · Microsoft Azure · Hadoop/Spark · Statistical Analysis · AI Automation (n8n, GHL, OpenAI) I work with startups building their first data pipeline and enterprises scaling existing systems, either way, my goal is the same: fewer manual hours, clearer insights, better decisions. 📩 Send me a message with what you're working on — I'll tell you honestly whether I'm the right fit and how I'd approach it.

I’m a Lead AI Full-Stack Developer with hands-on experience in AI development, LLM integrations, web and mobile engineering, system architecture, and production-ready SaaS platforms for startups and enterprise teams. 𝐅𝐞𝐞𝐥 𝐟𝐫𝐞𝐞 𝐭𝐨 𝐜𝐥𝐢𝐜𝐤 “𝐌𝐞𝐬𝐬𝐚𝐠𝐞” — 𝐈’𝐥𝐥 𝐫𝐞𝐬𝐩𝐨𝐧𝐝 𝐪𝐮𝐢𝐜𝐤𝐥𝐲. 𝐎𝐫 𝐡𝐢𝐭 "𝐭𝐡𝐫𝐞𝐞 𝐝𝐨𝐭𝐬" 𝐚𝐧𝐝 𝐢𝐧𝐯𝐢𝐭𝐞 𝐦𝐞 𝐭𝐨 𝐲𝐨𝐮𝐫 𝐣𝐨𝐛 𝐬𝐨 𝐈 𝐜𝐚𝐧 𝐩𝐫𝐨𝐯𝐢𝐝𝐞 𝐚𝐧 𝐞𝐬𝐭𝐢𝐦𝐚𝐭𝐞 𝐚𝐧𝐝 𝐚 𝐜𝐥𝐞𝐚𝐫 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐩𝐥𝐚𝐧. I collaborate closely with businesses to turn ideas into intelligent, scalable, and reliable software, staying involved throughout the entire product lifecycle rather than contributing only at the implementation stage. Building scalable web applications, SaaS platforms, MVPs, admin panels, dashboards, marketplaces, CRM systems, and business automation tools for startups and growing companies. Core expertise: AI development, LLM integrations, AI agents, full-stack development, SaaS development, web app development, MVP development, REST API integration, database design, and cloud-based application architecture. My primary focus is architecting and delivering custom AI- and ML-powered solutions that optimize operations, improve decision-making, and help companies stay competitive in an increasingly AI-driven market. From integrating LLMs such as ChatGPT or Claude into existing platforms to building fully custom AI workflows from scratch, I support projects end to end — from architecture and planning to delivery and production rollout. Share your idea, and I’ll help shape a clear technical and AI roadmap to move it confidently from concept to production. Most importantly: I’m a professional developer focused on real business outcomes, not a part-time freelancer juggling Upwork alongside a full-time job or treating client work as side projects. What differentiates me in a crowded AI space? Mindset. Frameworks, libraries and programming languages can be learned — that’s expected. Real value comes from critical thinking, a systems-level perspective, and a deep understanding of how technology fits into real business and industry contexts. That level of insight isn’t built by reading documentation alone. 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸: 🧠 AI & Machine Learning: OpenAI (GPT-4, GPT-4o), Claude, Gemini, LangChain 🖥️ Backend Development: Python, Node.js, FastAPI, Express.js 💻 Frontend Development: React, Next.js, Vue.js, Angular 📱 Mobile Development: React Native, Flutter, Kotlin, Swift ☁️ Cloud & DevOps: AWS, GCP, Azure, Serverless Architectures 📊 Databases: PostgreSQL, MongoDB, Firebase, Vector Databases 🧰 Tools & Integrations: Docker, GitHub Actions, CI/CD, Vercel, Stripe, Contentful, Supabase 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀: 💻 AI Web & Mobile Development: SaaS platforms, agent-powered dashboards, mobile AI assistants 🧠 LLM Integrations: ChatGPT, Claude, Gemini for CRMs, platforms, and internal tools 🧩 Custom AI Development: NLP, RAG, document parsing, vector search 🎨 AI UX/UI Design: Prompt workflows, assistant chat interfaces, decision-support tools ⚙️ DevOps: GPU deployments, secure cloud infrastructure, inference pipelines 📈 MVP & POC: Fast, lean experiments to validate ideas and reduce risk 📊 Tech Consulting: AI feasibility, architecture planning, stack selection, and growth strategy 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀: 🧘 Health & Wellness ⚖️ LegalTech 💳 FinTech & Finance 🏭 Industrial Sector 🚚 Transportation & Logistics 🧠 Decision Intelligence 📱 Social & Media Platforms 🛍️ Consumer & Retail Tech 🎓 EdTech & Training 🏡 Real Estate & PropTech 𝗪𝗵𝗮𝘁 𝗗𝗼 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗦𝗮𝘆? "Pavlo is a key contributor to our extended development team. We’re very satisfied with the quality and efficiency of his work." "Pavlo has been consistently responsive and dependable throughout." 𝗛𝗮𝘃𝗲 𝗮𝗻 𝗔𝗜 𝗶𝗱𝗲𝗮 𝗶𝗻 𝗺𝗶𝗻𝗱? Feel free to reach out or book a consultation to discuss it. Keywords: AI Developer, AI Engineer, AI Full-Stack Developer, LLM Integration, AI Agents, RAG, LangChain, OpenAI, Claude, Python, Node.js, React, SaaS Development, Web App Development, API Integration.