Looking for a highly skilled and reliable data annotation partner? Your search ends here! At Bigwigs Technologies, we specialize in precise, scalable, and deadline-driven annotation services across 2D, 3D, and medical datasets. With 6+ years of industry experience, our expert team delivers high-quality results with unmatched efficiency. Our Comprehensive Annotation Services: We provide end-to-end data labeling solutions, including: 🖼️ Image & Video Annotation: ✔ Bounding Box Annotation ✔ Polygon Annotation ✔ Semantic & Instance Segmentation ✔ Cuboid & Polyline Annotation ✔ Point Annotation ✔ Video & Text Annotation ✔ Image/Label Tagging 📡 3D LiDAR & Point Cloud Annotation (Advanced Tools): ✔ GT Studio, Scale.ai, CloudCompare, MindKosh ✔ Object Detection & Tracking for Autonomous Vehicles ✔ 3D Bounding Boxes, Segmentation, and Sensor Fusion 🏥 Medical Data Annotation (Specialized Tools): ✔ 3D Slicer for Volumetric Medical Imaging ✔ Tumor Segmentation, Organ Localization, and DICOM Annotation ✔ Radiology & Pathology Image Labeling Why Choose Bigwigs Technologies? ✅ Clear & Consistent Communication – Regular updates for seamless collaboration. ✅ On-Time Delivery – Strict adherence to deadlines, even for urgent projects. ✅ Data Security Guaranteed – Full NDA compliance to protect sensitive data. ✅ Unlimited Revisions – We refine until you’re 100% satisfied. ✅ Dedicated QC Team – Rigorous quality checks for flawless annotations. ✅ Tool Flexibility – We work with your preferred platform or provide our own. ✅ Scalable Workforce – Capable of handling large datasets swiftly without compromising quality. Tools We Master: 🔹 Label Studio 🔹 CVAT, LabelMe, LabelImg, Labelbox, Supervisely, VGG, MakeSense.ai 🔹 3D LiDAR Tools: GT Studio, Scale.ai, CloudCompare, MindKosh 🔹 Medical Annotation: 3D Slicer, ITK-SNAP, MITK

𝐌𝐨𝐬𝐭 𝐀𝐈 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬 𝐟𝐚𝐢𝐥 𝐰𝐡𝐞𝐧 𝐭𝐡𝐞𝐲 𝐧𝐞𝐞𝐝 𝐭𝐨 𝐰𝐨𝐫𝐤 𝐢𝐧𝐬𝐢𝐝𝐞 𝐫𝐞𝐚𝐥 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬. I design and build LLM-powered systems that automate business operations using RAG, AI agents, and custom backends. The goal is simple: reduce manual work, fit into how your team already operates, and build something people actually use day to day. 𝐖𝐡𝐚𝐭 𝐈 𝐛𝐮𝐢𝐥𝐝: - AI automation systems for business workflows - AI agents for support, operations, and internal tools - RAG-based knowledge systems connected to docs, PDFs, or databases - Chatbots that can take real actions, not just answer questions - Backend systems for LLM-powered applications, including APIs and integrations 𝐖𝐡𝐞𝐧 𝐜𝐥𝐢𝐞𝐧𝐭𝐬 𝐮𝐬𝐮𝐚𝐥𝐥𝐲 𝐫𝐞𝐚𝐜𝐡 𝐨𝐮𝐭: - When repetitive manual processes are slowing things down - When internal knowledge is scattered or hard to access - When support or operations need automation - When they want to add real AI functionality into an existing product - When previous AI solutions did not work in real-world usage 𝐇𝐨𝐰 𝐈 𝐚𝐩𝐩𝐫𝐨𝐚𝐜𝐡 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬: I focus on building systems that work in practice, not just demos. That means designing around your actual workflows, keeping the backend clean and maintainable, and making sure everything integrates properly with your tools and data. I also prioritize clear communication and iterative delivery. Most AI projects fail because of execution, not because the technology is lacking. My focus is making sure what we build actually works reliably once it is deployed. 𝐓𝐞𝐜𝐡 𝐬𝐭𝐚𝐜𝐤: LLMs and AI tools include OpenAI, Claude, Gemini, and Llama Frameworks include LangChain and LangGraph Vector databases include Pinecone, FAISS, and Chroma Backend development with Python, FastAPI, Flask, and Django Infrastructure and integrations using Docker, APIs, and AWS 𝐑𝐞𝐜𝐞𝐧𝐭 𝐰𝐨𝐫𝐤 - AI agents built for workflow automation - RAG systems connected to company knowledge bases - NLP-based clustering and data processing systems - Fixing and deploying dialogue systems - Personalization systems and machine learning pipelines If you are building something with AI, or trying to figure out the right way to approach it, feel free to message me with your use case. I can help you scope it properly and turn it into something that actually works. 𝐊𝐞𝐲𝐰𝐨𝐫𝐝𝐬 AI Engineer, LLM Engineer, Generative AI, AI Automation, AI Agents, Chatbot Development, RAG, Retrieval Augmented Generation, OpenAI API, Claude API, Gemini API, Llama, LangChain, LangGraph, Python, FastAPI, Backend Development, API Integration, Workflow Automation, NLP, Semantic Search, Vector Database, Pinecone, FAISS, ChromaDB, Knowledge Base Chatbot, PDF Chatbot, Embeddings, ML Pipeline, AI SaaS Development

👋 Hi there! I'm an AI Developer with expertise in image semantic segmentation, custom Object Detection, Real-Time Object Tracking, object counting, face recognition, pose estimation using YOLOv8, YOLOv9, Bytrack, and deepsort 💻. I also have research experience in image semantic segmentation utilizing vision transformers like ViTs Segformer and Swin Transformer, as well as CNNs such as YOLO, MobileNetv3, DeepLabV3+, and U-Net 🤖. I am experienced in Data Annotation & Image Annotation for AI, Machine Learning, and Computer Vision Projects. I help businesses in various industries create innovative applications using cutting-edge technologies 💡. My goal is to turn ideas into impactful solutions that improve business insights and affect strategic decisions 📈. Computer Vision 📷 - Custom Object Detection and Real-Time Object Tracking using YOLOv8 YOLOv9 and Bytrack deepsort - Object Recognition, Object counting, face recognition, pose estimation, facial recognition - Real-time Face Detection Recognition on custom data - Real-time car detection and object counting YOLOv9 Bytrack - Emotion Recognition, analyzing facial expressions - Inventory object recognition. object counting from vending machine YOLO Bytrack - Underwater Object Detection focusing on fish varieties - Image processing, OpenCV computer vision, object tracking, object recognition - Artificial intelligence, machine learning, deep learning, Vision Transformers (ViTs), Swin Transformer, DeepLab, YOLO SSD. - Object detection using YOLO, EfficientDet, Faster R-CNN, and object tracking with DeepSort - Automatic number plate recognition utilizing object detection techniques - Real-time pose estimation using OpenCV MediaPipe - Research experience in image semantic segmentation utilizing vision transformers like ViTs, Segformer, and Swin Transformer, as well as CNNs such as YOLO, DeepLabV3+, and U-Net - Pattern recognition, regression, disease diagnosis, detection, and classification Machine Learning & Deep Learning 🤖 Deep Learning (ViTs Segformer Swin-Transformer DeepLabV3+ UNet CNN YOLO GANs) Training/Testing Machine Learning models, and model evaluation Transfer Learning and Fine-tuning of pre-trained Models on Custom dataset Tools & Libraries 🛠️ Python (PyTorch, TensorFlow, NumPy, PyCharm, Jupyter, Kaggle, Colab) Libraries (OpenCV, Hugging Face, Mmsegmentation, NumPy, Keras, Pandas, Scikit Learn, Matplotlib, etc.) Services: 📊 Computer Vision / Image Processing / OpenCV Image Segmentation / Semantic Segmentation / Instant Segmentation Transformers / Vision Transformers / Attention Mechanism Machine Learning (ML) / Deep Learning (DL) Biomedical Image Processing Artificial Neural Network / Artificial Intelligence Image Annotation & Data Labeling (2D & video frames) Bounding Boxes (YOLO, Pascal VOC, COCO) Semantic Segmentation (Pixel-wise masks, polygons) Instance Segmentation Object Detection & Object Tracking (MOT, ID assignment) Data Entry (MS Word, MS Excel, MS PowerPoint, CSV, Google Doc ) PDF ( Conversion, Creating Fillable Form, Converting into Excel, Word, CSV ) #ComputerVision #ImageProcessing #Segmentation #SemanticSegmentation #ImageSegmentation #InstantSegmentation #YOLOv8 #VisionTransformers #ViTs #Segformer #SwinTransformer #SwinT #CNNs #DeepLearning #MachineLearning #ArtificialIntelligence #AI #ML #DL #OpenCV #Python #PyTorch #TensorFlow #Keras #ImageClassification #ObjectRecognition #SceneUnderstanding #ImageAnalysis #FeatureExtraction #PatternRecognition #ImageRestoration #ImageEnhancement #AutonomousVehicles #SurveillanceSystems #MedicalImaging #Robotics #AugmentedReality #VirtualReality #Polygones #Masks #ComputerVision #AIAnnotation #CVAT #LabelStudio #LabelImg #Roboflow #AnnotationServices Transformers, Vision Transformers, Attention Mechanism, Image classification, Object recognition, Scene understanding, Image analysis, Feature extraction, Pattern Recognition, Image restoration, Image enhancement, Image denoising, Image compression, Image retrieval, Facial recognition, Human-computer interaction, Autonomous vehicles, Surveillance systems, Medical imaging, Robotics, Image processing, Image segmentation, Object detection, Object tracking, Image recognition, Image classification, Scene understanding, Image analysis, Feature extraction, Pattern recognition, Image segmentation, Pixel-level classification, Object recognition, Scene understanding, Image analysis, Feature extraction, Pattern recognition, Object recognition, Object tracking, Image recognition, Image classification, Scene understanding, Image analysis, Feature extraction, Pattern recognition

I am an AI Data Annotation and Data Labeling specialist delivering production-ready datasets for computer vision models. My expertise covers object detection, semantic segmentation, and instance segmentation across medical imaging, retail analytics, sports technology, and electronics schematics. Stop wasting weeks on model retraining due to poor labels. I provide 99.9% accurate data annotation and data labeling services that eliminate "garbage-in, garbage-out" errors. Whether you are building autonomous driving systems, medical AI (MRI/CT/DICOM), or retail analytics, I deliver pixel-perfect object detection and segmentation datasets. My Quality Guarantee as a Data Annotation Lead: Every data labeling batch undergoes multi-stage manual audit for 100% adherence to your guidelines. I verify all exports (YOLO, COCO JSON, Pascal VOC, XML) in target environments for immediate import-readiness. Specialized Data Annotation Workflows: * Semantic Segmentation & Instance Segmentation: Pixel-perfect masks using polygons and brushes for complex object boundaries * Object Detection: High-speed bounding boxes for YOLO (v5 through v11) and Pascal VOC * 3D Point Cloud & LiDAR: Precise cuboid placement and 3D segmentation for sensor fusion * Video & Temporal Tracking: Frame-by-frame annotation with consistent object IDs *Keypoint & Landmark: Sub-pixel accuracy for pose estimation (facial, hand, full-body) Industry-Specific Data Labeling Solutions: * Medical AI: MRI, CT, X-Ray, Ultrasound (HIPAA-aware workflows) * Retail Data Quality: SKU-level tagging, smart shelf annotation, product recognition * Sports Analytics: Player tracking, ball detection, pose estimation, field segmentation * Electronics & Schematics: PCB annotation, component labeling, circuit diagram segmentation * Automotive: Lane detection, pedestrian tracking, edge-case scenarios for ADAS * Agriculture/GIS: Aerial mapping, crop health analysis, polygon annotation Tools I Master for Data Annotation: CVAT, Label Studio, Labelbox, Roboflow. I can master your proprietary platform within 24 hours. Formats I Deliver for Every Object Detection Project: YOLO (v8-v11), COCO JSON, Pascal VOC XML, CSV, and custom formats. I am built for scale — 100 images or 100,000. I maintain strict accuracy standards and meet every deadline. Whether you need semantic segmentation, instance segmentation, or object detection, your data labeling is the strongest part of your pipeline. Ready to clean your training data? Click "Message" to discuss your project or request a free sample task.

Hi, I am an AI & Machine Learning Engineer specializing in Perception 3D, Computer Vision, Edge Computing, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Chatbot Development, Generative AI, Embedded Systems, and Firmware Development. Please get in touch if you need help with the following: • Machine Learning & Deep Learning model development • Computer Vision tasks like object detection, segmentation, and 3D reconstruction • Natural Language Processing (NLP) including text mining, sentiment analysis, and chatbots • Generative AI models for stock prediction, image inpainting, and virtual clothing • Time-Series Forecasting and Anomaly Detection • Firmware development for microcontrollers (ESP32, STM32, PIC) and IoT devices • Schematic and PCB design using Altium, KiCad, Eagle, and EasyEda • AWS IoT Core setup and cloud integration for IoT projects • Device driver development for various peripherals (I2C, SPI, etc.) • AI Deployment & MLOps with AWS, GCP, Docker, and Kubernetes • Data Analysis & Visualization for business intelligence Tools and technologies I use: • Python, C++, R, JavaScript • TensorFlow, Keras, PyTorch, Scikit-Learn, HuggingFace, LangChain • Zephyr RTOS, FreeRTOS, ESP-IDF • Flask, Django, Node.js • AWS IoT Core, GCP, Docker, Kubernetes • Altium, KiCad, Eagle, EasyEda • MongoDB, MySQL, PostgreSQL, Cloud SQL • Pandas, NumPy, Matplotlib, Seaborn, SciPy Do reach out if you need something other than this, I may be able to help out and guide.

Welcome to my profile! As a highly skilled Deep Learning, Machine Learning, and Data Scientist, I bring over 3 years of expertise in solving real-world challenges using cutting-edge technologies. My passion lies in the field of Deep Learning, Machine Learning, and Data Scientist, and I take pride in delivering top-notch solutions for my clients. My expertise lies in various areas, and I have demonstrated exceptional proficiency in: ✅ Prompt Engineering ✅ Chat Bot ✅ Generative AI (including GPT-3, GPT-4, Visual ChatGPT, Langchain, LlamaIndex, AutoGPT, Pinecone) ✅ AI-Generated Art (Stable Diffusion + Midjourney) ✅ Time Series Forecasting ✅ Computer Vision ✅ Classification ✅ Algo Trading ✅ Fundraising ✅ Product Management ✅ Crypto ✅ Defi Protocols ✅ Solidity ✅ NFT As a certified machine learning engineer with extensive experience, I offer a wide range of services, including but not limited to: ✔️ Machine Learning ✔️ Deep Learning ✔️ Exploratory Data Analysis ✔️ Digital Image Processing ✔️ Data Structures ✔️ Data Mining ✔️ Data Visualizations ✔️ Data Extraction Projects I've worked on: ✅ Classification using CNN ✅ Segmentation using CNN ✅ Assessment of potential nutraceuticals for cancer using computational methods ✅ Early detection of Breast cancer through deep learning ✅ Prediction of weather data using SK Learn models ✅ Binary and Multi-classification of images ✅ Annotation and Augmentation Throughout my career, I have developed a deep understanding of data pre-processing, visualization, and extraction, using tools such as Python, R, pandas, data frames, Microsoft PowerBI, RESTful API, SQL, Azure Data Factory, Azure Synapse, Postgres, MySQL, and MongoDB. My proficiency also extends to managing AWS/ES2/S3 infrastructure. I excel in various areas of data science, including Natural Language Processing, Regression and Prediction Models, Database Management, Time Series Analysis, Fraud and Anomaly Detection, Recommendation Systems, and Computer Vision. My projects consistently demonstrate the ability to transform complex data into valuable insights that drive business success. Clients appreciate my dedication, strong communication skills, and ability to deliver top-quality results. As a math-driven data scientist with a passion for innovation, I'm ready to tackle your unique challenges and turn your ideas into reality. Let's collaborate and create something amazing together. Feel free to reach out to discuss your project requirements. Looking forward to working with you! 🚀

I've built AI systems that process 100,000 calls a day, NLP models used in cancer treatment planning, conversational AI deployed across enterprise voice and text channels, and agentic workflows running inside Fortune 500 operations. I'm Dr. Omer, PhD from the University of Waterloo, and formerly Senior Director of AI R&D at Afiniti, a global enterprise AI company whose outcome orchestration platform serves Fortune 500 clients across Telco, Financial Services, and Healthcare. That background shapes how I approach every project: I ask whether this is the right AI architecture for the real business problem, not just the most popular framework at the moment. Production AI systems I've built and led: 🎯 Afiniti Enterprise Contact Center AI — As Senior Director of AI R&D, led development of Afiniti's AI product suite: behavioral pairing systems matching agents to customers in real time, outcome orchestration engines, and intelligent automation deployed across Fortune 500 contact centers globally in Telco, FinTech, and Healthcare 🎯 Automated AI Evaluation at Scale — Etisalat / PTCL — Designed and deployed an AI-based near real-time contact center evaluation system processing 100,000+ calls per day — replacing manual QA at scale for one of the region's largest telecom operators (Etisalat holds a 26% stake in PTCL) 🎯 Conversational AI Systems — Built end-to-end conversational AI pipelines for enterprise clients across voice and text channels, covering multi-turn dialogue management, intent recognition, LLM-based response generation, and integration with CRM and ticketing systems 🎯 NLP Models for Cancer Treatment Planning — Developed NLP models supporting clinical oncology workflows — applied NLP at the intersection of language understanding and life-critical treatment decisions Where I'm most useful: → You're building an LLM-powered product and need the architecture designed before your team writes a line of code → You need a RAG system or AI chatbot that handles real user behavior — not just curated demos → You want n8n, Make, or Zapier automation connected intelligently to LLM workflows → Your contact center, healthcare, or operations team generates high-volume data that AI should be processing automatically → You need a senior technical opinion on AI architecture, model selection, or agentic system design What I build: ✅ LLM Application Development — GPT-4o, Claude, LLaMA, Mistral, Gemini, Ollama ✅ AI Chatbot Development — customer support bots, lead qualification bots, internal knowledge bots ✅ Conversational AI — multi-turn dialogue, intent recognition, slot filling, voice + text channels ✅ RAG Pipelines & Knowledge Systems — vector store design, chunking strategy, hybrid retrieval, evaluation ✅ Agentic AI & Multi-Agent Systems — LangGraph, CrewAI, AutoGen, tool-use agents, OpenClaw ✅ Workflow Automation — n8n, Make, Zapier, AI-connected automation pipelines ✅ Voice AI & Speech Systems — Vapi, Retell AI, Whisper, Deepgram, ElevenLabs, STT/TTS pipelines ✅ NLP Systems — text classification, NER, keyphrase extraction, summarization, clinical NLP ✅ Document AI — intelligent document processing, extraction pipelines, unstructured data handling ✅ Contact Center AI — automated call scoring, behavioral modeling, real-time agent assistance ✅ Healthcare AI — clinical document processing, treatment decision support, medical NER ✅ Fine-tuning & Optimization — LoRA, QLoRA, RLHF, DPO, prompt optimization, model evaluation Tech stack: LLMs & Agent Frameworks: GPT-4o · Claude API · LLaMA 3 · Mistral · Gemini · Ollama · LangChain · LangGraph · LlamaIndex · DSPy · HuggingFace Transformers · CrewAI · AutoGen · OpenClaw · Semantic Kernel Automation & Workflow: n8n · Make (Integromat) · Zapier · Webhook integrations · API orchestration · event-driven pipelines NLP & ML: PyTorch · TensorFlow · SpaCy · NLTK · Scikit-learn · Sentence Transformers · BERT · T5 · Whisper · OpenCV Voice & Conversational AI: Vapi · Retell AI · Whisper · Deepgram · ElevenLabs · Amazon Polly · RASA · Botpress · STT/TTS RAG & Vector Databases: Pinecone · Weaviate · ChromaDB · pgvector · FAISS · Qdrant · Milvus Fine-tuning & Evaluation: LoRA · QLoRA · RLHF · DPO · Axolotl · Unsloth · LangSmith · MLflow · RAGAS · TruLens Deployment & Infrastructure: Python · FastAPI · Flask · Docker · Kubernetes · AWS (SageMaker · Lambda · EC2) · GCP Vertex AI · Azure ML · Prometheus · Grafana [AI Engineer · AI Developer · LLM Developer · NLP Engineer · AI Consultant · Agentic AI · AI Agent Developer · LangChain Developer · LangGraph · RAG Developer · Retrieval Augmented Generation · AI Chatbot Developer · Conversational AI · Chatbot Development · AI Automation · Workflow Automation · n8n · n8n Developer · Make Automation · Zapier Integration · OpenClaw · OpenClaw Developer · Voice AI · Voice Agent · Contact Center AI · Healthcare AI }

Top Rated Freelancer with 27,600+ hours and 600+ successful projects on Upwork. I help businesses build accurate sales pipelines, clean data systems, and scalable research workflows that actually drive results — not just spreadsheets. 💡 What I Do I combine lead generation + data + research + annotation to support both sales teams and data-driven projects. ✔ B2B Lead Generation & Prospect List Building ✔ LinkedIn & Email Outreach (Manual + Tools) ✔ Web Research & Market Research ✔ Data Entry, Data Mining & Data Enrichment ✔ CRM Data Entry & Management (HubSpot, Salesforce, Zoho, Pipedrive) ✔ AI Data Annotation & Data Labeling (Image, Text, NLP) ✔ General Research & Large-Scale Data Projects ✔ Virtual Assistance & Admin Support 🎯 How I Work (What Makes Me Different) I don’t just deliver data — I deliver usable, clean, decision-ready data. • Manual verification for high accuracy • Structured workflows & clear documentation • Fast turnaround without compromising quality • Ability to handle small tasks → large ongoing projects • Available as solo expert or team-based support 📊 Experience Snapshot • 27,000+ hours worked on Upwork • 600+ completed projects • Long-term clients across US, UK, Canada, Australia & Europe • Strong track record in lead generation + research-heavy projects 🛠 Tools & Platforms LinkedIn Sales Navigator • Apollo • ZoomInfo • Snov io HubSpot • Salesforce • Zoho • Pipedrive Google Sheets • Excel • Data scraping & automation tools Annotation Tools: Labelbox • CVAT (or similar) ⭐ What You Can Expect ✔ High-quality, verified data (no junk leads) ✔ Clear communication & fast response ✔ Reliable delivery on deadlines ✔ Long-term support mindset 🤝 Let’s Work Together If you need help with lead generation, data entry, research, or AI annotation projects, I can support you with accuracy, speed, and consistency. 👉 Click “Invite” and let’s discuss your project. 🔍 to find me you can search: B2B Lead Generation, Lead Generation, Prospect List Building, Contact List Building, Email List Building, Sales Prospecting, Appointment Setting, LinkedIn Lead Generation, LinkedIn Outreach, Email Outreach, Cold Email Campaigns, Account-Based Marketing (ABM), Data Mining, Data Extraction, Data Scraping, Web Scraping, Data Collection, Data Enrichment, Data Cleansing, CRM Data Entry, CRM Management, HubSpot CRM, Salesforce CRM, Zoho CRM, Pipedrive CRM, Web Research, Internet Research, Market Research, Company Research, Contact Research, Online Research, Competitive Research, Business Research, Data Entry, Excel Data Entry, Google Sheets, Data Processing, Data Analysis Support, Virtual Assistant, Admin Support, AI Data Annotation, Data Labeling, Image Annotation, Text Annotation, NLP Annotation, Data Tagging, Content Moderation, Dataset Preparation, General Research Projects

𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗣𝗹𝘂𝘀 𝗣𝗵𝗮𝗿𝗺𝗮𝗰𝗶𝘀𝘁 | 𝟭𝟬𝟬% 𝗝𝗼𝗯 𝗦𝘂𝗰𝗰𝗲𝘀𝘀 | 𝟲,𝟰𝟬𝟬+ 𝗨𝗽𝘄𝗼𝗿𝗸 𝗵𝗼𝘂𝗿𝘀 I am a pharmacist and medical/scientific researcher with 10+ years of experience helping healthcare companies, researchers, pharmaceutical teams, supplement brands, wellness businesses, medical content teams, and AI/data projects turn complex medical information into clear, evidence-based deliverables. Clients hire me when they need accurate medical research, structured literature reviews, clinical trial research, healthcare market analysis, supplement evidence review, drug research, pharmacovigilance support, medical writing, or clinical data review delivered in a clear and usable format. As a pharmacist, I bring practical drug, supplement, and healthcare knowledge to literature reviews, pharmacovigilance research, medical writing, market analysis, and clinical data review projects. My work combines pharmacy knowledge, biomedical literature research, healthcare market intelligence, supplement evaluation, scientific writing, and structured medical data review. 𝗖𝗼𝗿𝗲 𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝗜 𝗽𝗿𝗼𝘃𝗶𝗱𝗲: 𝟭. 𝗠𝗲𝗱𝗶𝗰𝗮𝗹 𝗟𝗶𝘁𝗲𝗿𝗮𝘁𝘂𝗿𝗲 𝗥𝗲𝘃𝗶𝗲𝘄 & 𝗖𝗹𝗶𝗻𝗶𝗰𝗮𝗹 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 • PubMed, Cochrane, Google Scholar, ClinicalTrials.gov, LILACS, and grey literature research • Systematic, scoping, narrative, and rapid literature reviews • Clinical trial research and study summaries • PRISMA-style screening support and evidence extraction • Drug, disease, treatment, mechanism-of-action, and therapy-area research • Research gap analysis and evidence mapping • Literature review matrices and evidence tables in Excel, Google Sheets, Word, PowerPoint, or Google Slides 𝟮. 𝗗𝗿𝘂𝗴, 𝗦𝗮𝗳𝗲𝘁𝘆 & 𝗣𝗵𝗮𝗿𝗺𝗮𝗰𝗼𝘃𝗶𝗴𝗶𝗹𝗮𝗻𝗰𝗲 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 • Drug safety and adverse event research • Pharmacovigilance literature screening • Drug interaction and therapeutic class summaries • Product monograph and medication information support • Scientific and drug research for healthcare, pharma, and wellness projects 𝟯. 𝗦𝘂𝗽𝗽𝗹𝗲𝗺𝗲𝗻𝘁, 𝗡𝘂𝘁𝗿𝗮𝗰𝗲𝘂𝘁𝗶𝗰𝗮𝗹 & 𝗖𝗼𝘀𝗺𝗲𝗰𝗲𝘂𝘁𝗶𝗰𝗮𝗹 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 • Supplement ingredient evidence review • Nutraceutical clinical trial research • Supplement formulation research support • COA, specification, and quality-document review • Supplement Facts panel support • Label claim and product claim substantiation research • Cosmetic and cosmeceutical ingredient research • Evidence review for wellness, aesthetic, and formulation projects 𝟰. 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗠𝗮𝗿𝗸𝗲𝘁 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 & 𝗖𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗶𝘃𝗲 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 • Medical and healthcare market research • Pharma, supplement, medical device, and wellness market analysis • Competitor research and product landscape mapping • Clinical trial benchmarking • Product availability and registered product research • Evidence-based summaries for business decisions, investor decks, product development, and strategic planning 𝟱. 𝗠𝗲𝗱𝗶𝗰𝗮𝗹 𝗪𝗿𝗶𝘁𝗶𝗻𝗴, 𝗦𝘂𝗺𝗺𝗮𝗿𝗶𝗲𝘀 & 𝗗𝗮𝘁𝗮 𝗥𝗲𝘃𝗶𝗲𝘄 • Medical reports, research briefs, and slide decks • Scientific writing, editing, proofreading, and fact-checking • Patient education and healthcare professional content • Scientific manuscript writing and editing support • Medical record review and summarization • Clinical data extraction into Excel or Google Sheets • Medical annotation and healthcare AI data review • Clinical terminology review and medical dataset QA 𝗖𝗼𝗺𝗺𝗼𝗻 𝗱𝗲𝗹𝗶𝘃𝗲𝗿𝗮𝗯𝗹𝗲𝘀: • Literature review matrix • Clinical trial landscape table • Drug or disease evidence report • Supplement ingredient evidence report • COA review checklist • Supplement claim substantiation summary • Healthcare market research report • Medical competitor analysis • Registered product availability report • Medical record summary • Medical AI annotation QA sheet • PowerPoint or Google Slides research summary 𝗪𝗵𝘆 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 𝗰𝗵𝗼𝗼𝘀𝗲 𝗺𝗲: • Pharmacist with practical healthcare and pharmaceutical knowledge • 10+ years of medical, pharmacy, and scientific research experience • 6,400+ Upwork hours and $200K+ earned • 100% Job Success and Top Rated Plus status • NIH training in clinical pharmacology and clinical research • Experience across clinical trials, drug research, supplements, pharmacovigilance, healthcare market research, medical writing, and medical data projects • Organized deliverables in Excel, Google Sheets, Word, PowerPoint, Google Slides, or report format • Clear communication, reliable turnaround, and detail-focused work • Comfortable working with confidential medical content and de-identified clinical data under NDA If you need a pharmacist-led medical researcher who can understand the science, organize the evidence, and deliver client-ready outputs, send me your topic, target audience, and preferred format. Best, Adil

I help businesses ship production AI — not demos. Over 3+ years in the field (and 174+ hours on Upwork), I've helped clients cut operational costs 40–50% by replacing manual workflows with Computer Vision and LLM systems that actually run in production. WHAT I BUILD - Computer Vision — real-time object detection (YOLO, custom PyTorch), OCR pipelines (ParSeq, DeepSeek-OCR), segmentation, keypoint detection, and image retrieval with vector embeddings. - LLM & Agentic AI — RAG chatbots, multi-agent systems orchestrated with LangGraph, MCP integrations (Google Search, Calendar, Email), and optimized inference with Ollama, vLLM, and HuggingFace. - Deployment — FastAPI microservices, RabbitMQ batching, TensorRT/OpenVINO optimization, PostgreSQL, and Docker — built for edge or server. - MLOps — full lifecycle tracking, A/B testing, VLM-powered auto-annotation that cuts labeling effort 60%, and Telegram-based health monitoring. HOW I WORK Every project ships with clean code, written documentation, and a handover call so your team can maintain it after I'm gone. I don't disappear after delivery. STRONGEST STACK PyTorch • FastAPI • LangGraph • Docker • TensorRT • OpenVINO • Ollama • PostgreSQL • OpenCV If you've got a CV or LLM problem you've been struggling to ship, send me the details. I'll tell you honestly whether I'm the right fit — and how I'd approach it.