Hire the Best Data Scientists in Lahore, PK

I have spent 8 years at the intersection of data, AI, and the question nobody wants to ask “does it actually deliver results?” From forecasting systems to LLM pipelines and autonomous multi-agent systems built for real world problems where off-the-shelf solutions fail. The tools change with every project. The bar doesn't. Here is an overview of my Stack 𝗠𝗟 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀: PyTorch, TensorFlow, Scikit-learn, XGBoost, LightGBM, CatBoost, statsmodels 𝗟𝗟𝗠𝘀 & 𝗡𝗟𝗣: Open AI, Claude, Gemini, Grok, LLaMA, Mistral, DeepSeek, BERT, BART, SetFit, HuggingFace 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 & 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: LangChain, LangGraph, RAG Pipelines, n8n, Make, OpenAI API, Anthropic API, Lovable, OpenClaw 𝗩𝗲𝗰𝘁𝗼𝗿 & 𝗦𝗲𝗮𝗿𝗰𝗵: Pinecone, FAISS, ChromaDB, SentenceTransformers, Embeddings 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: pandas, NumPy, Parquet, Airflow, dbt, ETL Pipelines 𝗔𝗣𝗜𝘀 & 𝗦𝗰𝗿𝗮𝗽𝗶𝗻𝗴: FastAPI, Flask, WebSocket, PRAW, BeautifulSoup, Selenium 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Matplotlib, Seaborn, Plotly, Tableau, PowerBI, SHAP 𝗖𝗹𝗼𝘂𝗱 & 𝗜𝗻𝗳𝗿𝗮: AWS EC2, SageMaker, AWS Bedrock, Firebase, Docker, VPS 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱 & 𝗔𝗽𝗽𝘀: React, Next.js, Streamlit, Gradio, Lovable 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻𝘀: Gmail API, Google Calendar API, WhatsApp API, Stripe, PayPal, Odoo You can get a feel for the work pretty quickly. Here's a slice. → 𝗔𝗜 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 & 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 • Built a 𝒇𝒖𝒍𝒍-𝒄𝒚𝒄𝒍𝒆 𝑨𝑰 𝒉𝒊𝒓𝒊𝒏𝒈 𝒑𝒊𝒑𝒆𝒍𝒊𝒏𝒆 using n8n to orchestrate OpenAI-powered resume parsing with Gmail, Google Sheets, and Calendar APIs reducing 𝐻𝑅 𝑚𝑎𝑛𝑢𝑎𝑙 𝑤𝑜𝑟𝑘𝑙𝑜𝑎𝑑 𝑏𝑦 80% with centralized candidate tracking and automated scheduling. • Developed 𝒂 𝒓𝒆𝒂𝒍-𝒕𝒊𝒎𝒆 𝑨𝑰 𝒗𝒐𝒊𝒄𝒆 𝒂𝒈𝒆𝒏𝒕 supporting voice-to-voice, speech-to-text and text-to-text conversations via FastAPI and WebSocket with ultra low latency using GPT for dialogue management. • Built an 𝑨𝑰 𝒑𝒐𝒘𝒆𝒓𝒆𝒅 𝒕𝒆𝒍𝒆𝒎𝒆𝒅𝒊𝒄𝒊𝒏𝒆 𝒑𝒍𝒂𝒕𝒇𝒐𝒓𝒎 on Next.js and Firebase with role-based AI prompts, automated symptom collection and 𝑟𝑒𝑎𝑙 𝑡𝑖𝑚𝑒 𝑐𝑙𝑖𝑛𝑖𝑐𝑎𝑙 𝑖𝑛𝑠𝑖𝑔ℎ𝑡𝑠 for patient doctor interaction. → 𝗙𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝗶𝗻𝗴 & 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 From pharmaceutical supply chains to crypto markets, I build forecasting systems that drive real inventory, budget and trading decisions. • Built a 3𝑴+ 𝒓𝒆𝒄𝒐𝒓𝒅 𝒑𝒉𝒂𝒓𝒎𝒂 𝒇𝒐𝒓𝒆𝒄𝒂𝒔𝒕𝒊𝒏𝒈 𝒔𝒚𝒔𝒕𝒆𝒎 pipeline: XGBoost R²=0.90, 20% accuracy gain, 17-chart EDA uncovering SKU concentration risk and billing-cycle demand patterns • 𝑪𝒓𝒄𝒓𝒚𝒑𝒕𝒐 𝒇𝒐𝒓𝒆𝒄𝒂𝒔𝒕𝒊𝒏𝒈 𝒎𝒐𝒅𝒆𝒍𝒔 using ARIMA + Reddit sentiment (PRAW + SetFit) → BUY/SELL/HOLD signals for BTC, ETH, SOL, DOGE • 𝑫𝒆𝒎𝒂𝒏𝒅 𝒇𝒐𝒓𝒆𝒄𝒂𝒔𝒕𝒊𝒏𝒈 𝒑𝒊𝒑𝒆𝒍𝒊𝒏𝒆 (LR, XGBoost, RF, LSTM) achieving R²~0.99 used car price prediction deployed via Flask → 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 & 𝗦𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝗮𝗹 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 I build classification, regression, and validation systems with rigorous evaluation not just accuracy scores but defensible, 𝒑𝒓𝒐𝒅𝒖𝒄𝒕𝒊𝒐𝒏-𝒓𝒆𝒂𝒅𝒚 𝒎𝒐𝒅𝒆𝒍𝒔. • SVM, Gradient Boosting, MLP, XGBoost, Logistic Regression always with GridSearch and KFold CV for hyperparameter integrity • Diabetes detection: 86% accuracy on 3-class imbalanced clinical dataset with feature engineering and undersampling experiments → 𝗡𝗟𝗣 & 𝗟𝗟𝗠-𝗣𝗼𝘄𝗲𝗿𝗲𝗱 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 I combine classical text modeling with modern LLMs to extract structured insight from unstructured data at scale. • Claude 3.5 Sonnet (AWS Bedrock) + BART MNLI + SentenceTransformer pipeline quantifying open ended survey sentiment for fragrance product strategy • Real-time Reddit 𝒔𝒆𝒏𝒕𝒊𝒎𝒆𝒏𝒕 𝒅𝒂𝒔𝒉𝒃𝒐𝒂𝒓𝒅 for ASTS ticker upvote-weighted transformer scoring with daily trend visualization • 𝑻𝒆𝒙𝒕 𝑪𝒍𝒂𝒔𝒔𝒊𝒇𝒊𝒆𝒓 across disaster tweets (TFIDF, 80%), IMDB reviews (LSTM, 86%) and news categorization (CNN + GloVe, 75%) • GPT-4o, Claude, LLaMA, Grok and Mistral used as deliberate data enrichment and annotation tools inside ML pipelines I work with startups building their first AI product, enterprises with complex data problems, and individuals with unique challenges nobody else wants to touch. If the problem is hard and the data is messy that's exactly where I do my best work. Send me a message and let's figure out if I'm the right fit. I will tell you within 24 hours whether I can help and how.

I help researchers, startups, and businesses turn AI ideas into working MVPs and scalable products through machine learning development, AI model integration, AI/Backend Engineer, Workflow Automations and research-backed implementation & writing support. 🏆 Top Rated | 100% Job Success | about $10K+ Earned | 40+ Completed Upwork Jobs Whether you need to validate an AI idea, integrate an existing model, reproduce research code, or improve an ML pipeline, I can help move your project from concept to a reliable implementation. 🏆 MVPs to Scalable Products | AI Research & Development | Research Support-Asistance 🧠 Deep Learning | Machine Learning | ML Model Training & Fine-Tuning | APIs | LLMs 🌟 2D/3D Vision | Sensors and Medical Data | GitHub & Hugging Face Code Reproduction 🧠 Classification, Regression, Time Series, Forecasting, Detection & Recognition WHAT I CAN HELP YOU BUILD: ✅ AI & Machine Learning MVPs, SaaS, Startup Predictive models, prototypes, backend APIs, AI model integration, and deployment-ready workflows. ✅ Deep Learning & Computer Vision Solutions Image classification, object detection, segmentation, anomaly detection, medical imaging, and 2D/3D vision pipelines. ✅ LLM, RAG & AI Integration OpenAI API integration, LangChain workflows, ChromaDB knowledge bases, retrieval pipelines, and AI-powered applications. ✅ Model Training & Fine-Tuning Data preparation, training pipelines, experimentation, evaluation, optimization, and reproducible implementation. ✅ Research Support & Code Reproduction Research-paper implementation, GitHub and Hugging Face code reproduction, benchmarking, ablation studies, experiment support, and technical reporting. ✅ Medical & Scientific Data Solutions Research-focused machine learning workflows for structured, image, and multimodal datasets. ✅ Time-Series & Sensor Data Solutions Forecasting, anomaly detection, signal processing, predictive modelling, and machine learning workflows for sensor, IoT, and sequential datasets. CORE TOOLS: Python | PyTorch | TensorFlow/Keras | Scikit-learn | OpenCV | Vercel AI | Github | Hugging Face | Flask | FastAPI | OpenAI API | Claude Code | LangChain | ChromaDB | Next.js | SQL | Docker | R/Rstudio | Matlab PyTorch | TensorFlow | Deep Learning | Neural Networks | Machine Learning | Machine Learning Model | Large Language Model | RAG | AI Model Development | AI Model Integration | Data Engineering | biostatistics | Statistical Analysis | Data Engineering | Image processing | Signal Processing WHAT YOU CAN EXPECT ✓ Clear communication and realistic scoping ✓ Clean, reproducible code and documentation ✓ Research-backed implementation decisions ✓ Flexible collaboration across USA, Europe, UK, and Australia time zones I also support Python/R Data Science Data Analysis, NLP, LLMs, OpenAI API, RAG chatbots, Clinical Data, Data Engineering, scraping tasks projects and build ETL pipelines as well as setup databases. Share your idea, dataset, existing codebase, or research paper, and I will help define the most practical path from prototype to implementation.

Senior Full stack AI Engineer specializing in LangGraph agents, enterprise RAG, and FastAPI backends 3,300+ concurrent users in production across GCP and Azure. I build the Python infrastructure that makes Large Language Model systems production-ready. Stateful multi-agent orchestration, Retrieval-Augmented Generation pipelines, LLM routing, and FastAPI backends deployed, monitored, and running at scale. Not prototypes. Not demos. Systems with real users. WHAT I'VE SHIPPED PRODUCTION, NOT DEMOS ↳ Multi-agent HR automation — LangGraph + GPT-4o → Azure → cut recruiter processing time by 70%, serving 1,500 concurrent users in production ↳ RAG Assistant — Gemini + hybrid retrieval → GCP + Kubernetes → reduced query resolution time by 60%, handling 1,800 concurrent users at peak ↳ Legal RAG system — 500+ document corpus, custom chunker, LangChain evaluators → improved retrieval accuracy by 40% over baseline vector search ↳ Agentic travel system — LangGraph Cloud + GCP, full observability via LangSmith → end-to-end AI App Development with zero manual intervention ↳ Agent Builder platform — Gumloop-style visual builder, LangSmith tracing, live Generative AI workflows serving production traffic ↳ AI Email Automation — FastAPI + NLP classification + RAG pipeline → eliminated 80% of manual triage work for the client's support team Read this section first. Stack choices below are context. Systems above are the proof. WHAT I BUILD LLM Orchestration & Routing → Multi-model routing using Large Language Model selection by task, cost, and latency — core MLOps practice for cost-efficient production systems → LangGraph stateful agent loops with checkpointing and automatic error recovery → LangChain pipelines with conditional branching and parallel sub-agent execution → Human-in-the-loop approval flows for regulated or high-stakes workflows → LLM evaluation pipelines — automated scoring, regression testing, drift detection → LLM Fine-Tuning via LoRA / QLoRA on domain-specific datasets for task-optimized models that outperform general-purpose OpenAI API calls Enterprise RAG — Beyond Basic Retrieval → Hybrid retrieval combining Neo4j knowledge graphs and Vector Database search (Pinecone, FAISS, Weaviate) — the architecture that works on complex multi-hop queries where standard RAG fails → Multi-index pipelines with cross-encoder re-ranking for precision at scale → Custom runtime chunkers for domain-specific corpora (legal, HR, CRM, financial) → LangChain evaluators with measurable Retrieval-Augmented Generation accuracy scores — you get a number, not a guess → Live web search integration for real-time knowledge augmentation FastAPI Backends Powering LLM Workflows → Async FastAPI microservices connecting LLM pipelines to real products → WebSocket endpoints for real-time AI streaming to frontend clients → PostgreSQL, MongoDB, Redis — matched to your data shape and access patterns → REST + webhook design for third-party integrations (HubSpot, Salesforce, Stripe) → Dockerized, Kubernetes-ready, CI/CD via GitHub Actions Cloud Deployment & Observability → GCP — Cloud Run, GKE, Vertex AI, LangGraph Cloud → Azure — Azure AI, AKS, Azure Functions → LangSmith — full tracing, evals, latency monitoring, debugging in production → Structured logging, health checks, auto-scaling, cost monitoring → MLOps pipelines for model versioning, deployment, and performance tracking CORE STACK → Orchestration: LangGraph · LangChain · LlamaIndex → LLMs: GPT-4o · Claude · Gemini · Llama · Mistral → Cloud: GCP · Azure · LangGraph Cloud → Vector/Graph: Pinecone · FAISS · Weaviate · Neo4j → Backend: FastAPI · PostgreSQL · MongoDB · Redis → Observability: LangSmith · structured logging → DevOps: Docker · Kubernetes · GitHub Actions → Frontend : React, Typescript , JavaScript Every delivery includes architecture documentation, full test coverage, production deployment, and post-launch support. I don't hand over code. I hand over systems that run. Send me a message describing your project scope. I respond within 24 hours, I'll tell you within one message whether I can solve it and how. NOT THE RIGHT FIT FOR ManyChat flows · Zapier replacements · no-code AI tools · simple chatbot integrations · Make automations · "just connect this API" work. My engagements are Python-first, architect-level, and built for production.

MLOps & LLM Expert | Scalable AI Infrastructure | RAG Systems | AWS, Openclaw, RunPod Hi, I’m Najeeb, an AI Engineer with 8+ years of experience building production-ready systems powered by Large Language Models, MLOps, and Generative AI. I’ve led projects across startups and enterprises, delivering solutions for conversational AI, RAG, speech models, and more. What I Deliver: LLM & RAG Systems: LangChain, Pinecone, Chroma, HuggingFace, Claude, Llama, Openclaw MLOps & Deployment: RunPod, AWS Sagemaker, GCP Vertex AI, Azure, Docker, CI/CD, Kubernetes Inference & API Services: FastAPI, Flask, OpenAI-compatible endpoints Prompt Engineering: GPT-4, LLaMA2, Claude, Gemini; evaluation, tuning, semantic search AI SaaS MVPs: Fast, scalable products using Django, React, and Next.js Automation: N8N, Make, Zapier for agent workflows, backend triggers, pipelines 📌 Tech Stack: LangChain, LLM, RAG, RunPod, OpenAI, HuggingFace, AWS, Azure, FastAPI, Vector DB, Docker, Kubernetes, Python, MongoDB, Prompt Engineering, MLOps, Speech AI, Stable Diffusion, LORA, CI/CD ⭐ Why Clients Choose Me: 27+ successful projects on Upwork across LLM, GenAI, and backend systems Proven track record with Runpod serverless APIs, ComfyUI pipelines, and ChatGPT-style bots Experience with enterprise workloads: SDK development, real-time LLM serving, speech/audio models Fast delivery, clear communication, and long-term partnership mindset Let’s connect if you want to deploy AI products faster, better, and smarter.

🚀Unlocking the Power of Data: Expert Data Scientist at the ready ⭐️Crafting Data Stories with Python and Precision 🕒 4+ Years of Specialized Experience ✅ Numerous Successful Projects across AI, ML, NLP, and Computer Vision ✅ Driving Innovation with Data-Driven Solutions With more than 4 years of experience in data science, I specialize in machine learning, AI, NLP, and computer vision. My expertise has been applied in a range of projects, from working with dynamic startups to collaborating with established industry leaders. I've led initiatives that improved business intelligence and introduced AI-driven innovations. My skills in Python, TensorFlow, PyTorch, and Keras enable me to develop advanced data models that guide strategic decision-making and foster innovation. My roles at Educative.io and Ekkel AI have established me as a notable contributor to data science education and the advancement of technology. My work has had a significant impact in both academic settings and practical industry applications. I am passionate about transforming complex data into powerful tools that enhance performance, unlock new opportunities, and deliver value to businesses. I approach every project with a focus on delivering strategic insights, working collaboratively to meet project objectives, and maintaining a commitment to meet deadlines with precision. My goal is to use data science to advance your projects, overcome challenges, and turn data into a valuable asset. Let's connect to transform your projects with data-driven insights and innovative solutions.

🧐𝗪𝗵𝗮𝘁 𝗶𝗳 𝘆𝗼𝘂𝗿 𝗱𝗮𝘁𝗮 𝗰𝗼𝘂𝗹𝗱 𝗮𝗻𝘀𝘄𝗲𝗿 𝘆𝗼𝘂𝗿 𝗯𝗶𝗴𝗴𝗲𝘀𝘁 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 𝗶𝗻 𝘀𝗲𝗰𝗼𝗻𝗱𝘀 𝗶𝗻𝘀𝘁𝗲𝗮𝗱 𝗼𝗳 𝗵𝗼𝘂𝗿𝘀? That's exactly what I help businesses achieve. With 8+ years of experience, I build interactive Power BI, Looker Studio, and Tableau dashboards that turn scattered data into clear insights. From executive KPI dashboards to automated business reports, I help teams spend less time creating reports and more time making decisions. 𝗪𝗵𝗮𝘁 𝗜 𝗖𝗮𝗻 𝗛𝗲𝗹𝗽 𝗬𝗼𝘂 𝗪𝗶𝘁𝗵 • Power BI Dashboards • Looker Studio Reports • Tableau Dashboards • Executive & KPI Dashboards • Business Intelligence • Data Visualization • DAX & Power Query • SQL & Excel Reporting • Automated Reporting 𝗪𝗵𝘆 𝗨𝗽𝘄𝗼𝗿𝗸 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗪𝗼𝗿𝗸 𝗪𝗶𝘁𝗵 𝗠𝗲 ✔ Quick Response ✔ Interactive dashboards that are easy to understand ✔ Automated reporting that saves valuable time ✔ Clean, modern, and business-focused visualizations ✔ Accurate KPI tracking and actionable insights ✔ Reliable communication and on-time delivery 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀 ↩↩ E-Commerce • Finance • Healthcare • Marketing • Retail • SaaS • Logistics Whether you're tracking sales, finance, marketing, operations, or business performance, I'll build a dashboard that's tailored to your goals, not just another report. Send me a message or invite me to your project, and let's discuss how we can turn your data into decisions that drive real business growth. - Excel Dashboard / Advanced Excel - Google Sheets Automation - ETL / Data Pipeline - Data Cleaning / Data Modeling - MySQL / PostgreSQL / SQL Server (name specific ones, not just "SQL") - Financial Reporting / Financial Dashboard - Google Data Studio (older term, still searched by some clients alongside "Looker Studio") - Dashboard Automation - Business Intelligence Consultant - Data Storytelling - Google Sheets to Power BI / API Integration - CRM Reporting (HubSpot, Salesforce, etc. if applicable)