Hire the Best NLP Engineers in Islamabad, PK

I build intelligent, data-driven solutions — from natural language processing models to in-depth data analysis — that turn raw data into real business insights. 🎯 What I Do 🔹 Machine Learning Model Development & Deployment 🔹 Natural Language Processing (NLP) — text classification, sentiment analysis, entity recognition, chatbots 🔹 Data Analysis & Statistical Modeling 🔹 Predictive Modeling & Model Optimization 🔹 Python Development for AI/ML Pipelines 🔹 Data Preprocessing & Feature Engineering 🤝 Why Work With Me ✅ Strong foundation in Python, Pandas, NumPy, Scikit-learn ✅ Hands-on experience building NLP and ML models on real datasets ✅ Clean, documented, and reusable code ✅ Fast, clear communication and deadline-driven delivery ✅ Actively growing expertise as an AI student, staying current with modern ML/NLP techniques 📩 Have a dataset that needs modeling, or text data that needs understanding? Let's talk — message me and I'll tell you how I can help.

I’m a Data Scientist with 3+ years of experience in building AI-powered solutions, machine learning models, and intelligent agents that automate tasks, optimize processes, and drive measurable business impact. What I can help you with: ✔️ AI Agents & RAG Systems Developing multi-agent AI systems and Retrieval-Augmented Generation (RAG) pipelines using tools like LangChain and LangGraph. I build intelligent assistants that can search, reason, and generate accurate responses using external knowledge sources. ✔️ Natural Language Processing (NLP) & LLMs Building NLP and GenAI solutions including sentiment analysis, text summarization, document understanding, chatbots, and LLM-powered applications using models like GPT, Claude, and open-source LLMs. ✔️ Machine Learning & Predictive Analytics Designing and deploying machine learning models for classification, regression, clustering, and forecasting. I work on data-driven solutions for prediction, optimization, and decision-making. ✔️ AI-Powered Automation Solutions Creating intelligent automation systems that reduce manual work, streamline workflows, and integrate APIs and tools for real-world business use cases. ✔️ Data Analysis & Visualization Cleaning, analyzing, and transforming data to extract meaningful insights. I create clear visualizations and reports that help understand trends, patterns, and business performance. ✔️ End-to-End AI Solutions Handling the full pipeline from data processing and model building to deployment of scalable AI systems ready for production use. I also understand frontend and design basics (HTML, CSS, JavaScript, Figma), which helps me collaborate smoothly on full-stack and product-driven projects. I’m passionate about turning complex data into actionable insights and delivering clean, efficient, and scalable solutions that help businesses make smarter decisions.

You have the vision. Finding a team that can actually execute it without cutting corners, disappearing mid-project, or needing constant supervision is the hard part. That's exactly what 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫𝐬 𝐃𝐞𝐧 is built for. We are a 50-𝐩𝐞𝐫𝐬𝐨𝐧 𝐩𝐫𝐨𝐝𝐮𝐜𝐭 𝐚𝐧𝐝 𝐀𝐈 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐭𝐞𝐚𝐦. We work with two types of clients startups who need a technical team to build their product from scratch, and established businesses who need an embedded AI team to automate and scale their operations. ✦ 𝐖𝐡𝐚𝐭 𝐟𝐨𝐮𝐧𝐝𝐞𝐫𝐬 𝐛𝐫𝐢𝐧𝐠 𝐭𝐨 𝐮𝐬: — A product vision that needs a trusted team to build and ship it — An idea that needs AI baked in from day one — agents, voice AI, LLM integrations — A stalled or broken product that needs a reliable team to take over and deliver ✦ 𝐖𝐡𝐚𝐭 𝐒𝐌𝐄𝐬 𝐚𝐧𝐝 𝐞𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞𝐬 𝐛𝐫𝐢𝐧𝐠 𝐭𝐨 𝐮𝐬: — Existing operations that need AI automation to reduce manual work and scale — Voice AI systems for customer service, sales outreach, or internal workflows — A need for a long-term embedded tech partner, not a one-off vendor ◈ 𝐁2𝐁 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 𝐩𝐚𝐫𝐭𝐧𝐞𝐫𝐬𝐡𝐢𝐩𝐬: → 𝐏𝐢𝐠𝐞𝐨𝐧𝐬𝐡𝐢𝐩 — Embedded AI & automation tech team for a US/Canada logistics company, trusted by Kroger, Loblaws, Purolator and Philip Morris → 𝐒𝐚𝐟𝐞𝐋𝐢𝐟𝐞 𝐇𝐨𝐦𝐞 𝐇𝐞𝐚𝐥𝐭𝐡 — Voice AI automation for an established US healthcare operation ◈ 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐬 𝐰𝐞 𝐛𝐮𝐢𝐥𝐭 𝐟𝐫𝐨𝐦 𝐬𝐜𝐫𝐚𝐭𝐜𝐡: → 𝐃𝐢𝐚𝐥𝐞𝐜𝐭 𝐀𝐈 — AI chat & workflow automation platform for businesses → 𝐇𝐢𝐠𝐡𝐈𝐐 — Voice AI-powered CRM with custom sales pathways → 𝐂𝐀𝐆𝐅𝐥𝐨𝐰 — Enterprise chatbot & document translation system for large-scale teams → 𝐀𝐢𝐅𝐥𝐨𝐰𝐏𝐫𝐨 — Personal productivity suite with AI tools for meetings and emails ◎ 50-person team · 5 funded products · active B2B partnerships in logistics & healthcare · 25+ live AI platforms across SaaS, enterprise, logistics, real estate and healthcare ● 4+ years on Upwork · 100% Job Success · Top Rated Plus · Top 3% worldwide If you need a team that treats your product like their own — 𝐥𝐞𝐭'𝐬 𝐭𝐚𝐥𝐤

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 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.

Across 12 years of software development and 9 years specializing in machine learning, I have built systems ranging from conversational chatbots to computer vision based grading tools, working with clients across different industries and problem types. What stays consistent across all of it is the same goal, moving past a model that performs well in isolation to one that performs well once it is actually in production. I have completed 104 jobs on Upwork, earned $200K plus, and maintained a 100% Job Success score with Top Rated status. Clients have used my work to ship products up to 3x faster while cutting $10K a month in engineering costs, using AI assisted development on top of solid computer science and machine learning fundamentals. I also hold a Master's degree in Machine Learning, and I currently lead a 45 engineer team building production AI and ML systems. What I actually build: Conversational AI and LLM systems. Chatbots and multi turn assistants built on RAG pipelines and vector search, with real guardrails so the model does not make things up when it does not know the answer. Computer vision pipelines. Detection, classification, and grading systems trained on real world data, not clean benchmark datasets. Natural language processing. Text classification, sentiment analysis, entity extraction, and low resource language OCR, including work on Urdu, where off the shelf tools mostly do not exist. Production ML infrastructure. Models packaged, monitored, and deployed with Docker, Kubernetes, and cloud infrastructure on AWS, Google Cloud, or Azure, including edge deployment where latency or hardware is constrained. Some of what my team has shipped: ✦ Avatare, a conversational AI platform handling multi turn dialogue in production ✦ Compugrade, an AI assisted autograding system for K12 education built on computer vision ✦ AffectCX, a live conversational chatbot supporting pharma sales teams ✦ A multimodal conversational AI platform combining RAG based retrieval with generation ✦ A computer vision grading pipeline for physical collectibles, handling classification and defect detection ✦ Urdu OCR, a low resource language OCR system built where almost no existing tooling was available Technical stack: Python, PyTorch, TensorFlow, Keras, JAX/Flax, OpenCV, Docker, Kubernetes, AWS, Google Cloud, Azure, ONNX, TFLite, CoreML AI and ML methods I work with: Large language models including GPT4, Claude, and Llama 2. Retrieval Augmented Generation and vector databases. Traditional ML including random forests, SVM, and KNN. Deep learning including CNNs, RNNs, GANs, transformers, and BERT. MLOps including CI/CD, model monitoring, and versioning. If you are dealing with a model that only works some of the time, a system that needs to move from prototype to something production ready, or a computer vision or NLP problem that off the shelf tools have not solved, message me. I typically reply within 2 hours and can prioritize urgent projects. I will tell you honestly whether AI is the right tool for the job before I agree to build anything.