You will get nlp models, chatbots, and text analysis systems using python
Project details
Are you looking to turn text data into intelligent insights?
I am a Machine Learning Engineer specializing in Natural Language Processing (NLP) and AI-driven text solutions. I build scalable, production-ready NLP systems using Python and modern transformer architectures.
Services I Offer:
Sentiment Analysis
Text Classification
Named Entity Recognition (NER)
Chatbot Development
Transformer-based Models (BERT, GPT-style)
Text Summarization
Information Extraction
Custom NLP Pipelines
Fine-tuning Pretrained Models
Data Cleaning & Text Preprocessing
Technologies I Use:
Python
PyTorch
HuggingFace Transformers
Scikit-learn
Pandas / NumPy
REST API Integration
Why Choose Me?
Clean, well-documented code
Professional communication
On-time delivery
Scalable solutions
End-to-end implementation
I focus on practical NLP solutions that solve real business problems not just academic experiments.
Send me a message before ordering to discuss your project requirements.
I am a Machine Learning Engineer specializing in Natural Language Processing (NLP) and AI-driven text solutions. I build scalable, production-ready NLP systems using Python and modern transformer architectures.
Services I Offer:
Sentiment Analysis
Text Classification
Named Entity Recognition (NER)
Chatbot Development
Transformer-based Models (BERT, GPT-style)
Text Summarization
Information Extraction
Custom NLP Pipelines
Fine-tuning Pretrained Models
Data Cleaning & Text Preprocessing
Technologies I Use:
Python
PyTorch
HuggingFace Transformers
Scikit-learn
Pandas / NumPy
REST API Integration
Why Choose Me?
Clean, well-documented code
Professional communication
On-time delivery
Scalable solutions
End-to-end implementation
I focus on practical NLP solutions that solve real business problems not just academic experiments.
Send me a message before ordering to discuss your project requirements.
Machine Learning Tools
Azure Machine Learning, BERT, ChatGPT, Databricks MLflow, deeplearn.js, Deeplearning4j, Google Sheets, GPT-3, Keras, Microsoft Power BI, MLflow, NLTK, NumPy, Open Neural Network Exchange, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SQL, Tableau, TensorFlow, TextBlob, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$100
|
Standard
$150
|
Advanced
$250
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 4 days |
Number of Revisions | 3 | 4 | 5 |
Number of Model Variations | 2 | 4 | 5 |
Number of Scenarios | 2 | 3 | 4 |
Number of Graphs/Charts | 2 | 4 | 6 |
Model Validation/Testing | |||
Model Documentation | - | - | |
Data Source Connectivity | - | ||
Source Code |
Frequently asked questions
About Saad
AI Engineer & Web Developer | Next.js | AI Agents | RAG | SaaS Apps
Islamabad, Pakistan - 11:19 pm local time
Most AI demos look impressive… until they break in production. That’s where I come in.
👋 I'm an Agentic AI Engineer and Full-Stack Developer with 4+ year of production experience building LLM-powered systems, autonomous agents, and full SaaS products for real clients. I've delivered an 85% ticket deflection rate with a LangGraph support agent, automated 70% of inbound calls with a voice AI on Whisper + GPT-4o, and built multi-tenant SaaS platforms that drove 40% enterprise upsell increases. I don't prototype and hand off. I build the thing, deploy it, and make sure it runs.
🚀 WHAT I BUILD (END-TO-END)
✔ Full-stack SaaS applications with AI embedded as core product features
✔ Agentic systems and knowledge bots that run autonomously in production
✔ Service and marketing sites with performance metrics that actually matter
✔ Multi-tenant platforms with Stripe billing, RBAC, and workspace isolation
✔ Internal dashboards, admin panels, and role-based tools
✔ Workflow automation connecting AI to real business systems and APIs
🧱 FULL-STACK WEB DEVELOPMENT
This is the core. I build complete, production-grade web products from scratch — not just the AI layer.
FRONTEND:
✔ Next.js 14 (App Router, Server Actions, SSR, ISR, streaming UI)
✔ React 18 (hooks, context, optimistic updates)
✔ Tailwind CSS, Shadcn UI, Radix UI, Framer Motion
✔ Performance: Lighthouse 95+ on mobile, LCP under 2.5s on 4G, Framer Motion animations at 60fps / sub-16ms interaction latency, Cloudinary CDN with q_auto/f_auto delivering 60% image payload reductions, Core Web Vitals tuned
BACKEND:
✔ Node.js with Express (REST APIs, middleware, auth layers)
✔ FastAPI (AI microservices, async endpoints, background tasks)
✔ tRPC (type-safe API layer for Next.js full-stack apps)
✔ Redis (caching, session management, queue-backed jobs)
Database and Auth:
✔ PostgreSQL — schema design, materialized views, composite indexing, server-side pagination over millions of rows, sub-200ms query times under production load
✔ Supabase (auth, realtime DB, storage, vector, row-level security, workspace isolation)
✔ Prisma ORM, MongoDB
SaaS Features I Build:
✔ Multi-tenant architecture with workspace isolation and zero data bleed
✔ Stripe billing: subscriptions, usage-based metering, webhook-driven plan upgrades
✔ RBAC, scoped permissions, invite flows, and audit logs
✔ White-label dashboards with cohort analytics, CSV exports, and live metric ingestion
✔ AI features embedded into the product: chat widgets, quote bots, support agents, content pipelines
DEPLOYMENT:
✔ Docker (containerised services, multi-stage builds)
✔ Vercel (Next.js, edge functions, preview deployments per branch, zero-downtime rollouts)
✔ AWS, Render (backend API hosting and scaling)
✔ GitHub Actions (CI/CD pipelines, automated deploys)
🤖 AGENTIC AI SYSTEMS (PRODUCTION-LEVEL)
Most web developers add an API call to GPT and call it AI. I build the actual systems: agents with memory, tool use, multi-step reasoning, stateful orchestration, and fallback handling that run without supervision.
✔ Multi-agent systems with inter-agent communication (LangGraph state machines, CrewAI role-based pipelines, AutoGen collaboration flows)
✔ Tool-calling agents with function calling, JSON schema tools, and chained API actions
✔ Stateful agents with persistent memory (vector stores, session history, conversations)
✔ Async and background execution (Python async, FastAPI workers, Celery/queue-based systems)
Tech Stack:
LangGraph (state machines, multi-agent orchestration)
LangChain (chains, tools, memory, document loaders, AgentExecutor)
CrewAI (role-based agent collaboration)
OpenAI Agents SDK (tool use, handoffs, streaming)
GPT-4o, GPT-4o mini, Assistants API, function calling
Anrhropic Claude (tool use, long-context reasoning)
🧠 RAG AND KNOWLEDGE SYSTEMS
✔ Production RAG pipelines for enterprise knowledge bases — not demo notebooks
✔ Document ingestion (PDF, CSV, DOCX, web scraping), chunking strategies, embedding + similarity search
✔ Re-ranking and hybrid retrieval (BM25 + vector, MMR, top-k), sub-second retrieval in production
Vector DBs: Pinecone, FAISS, ChromaDB, Supabase Vector
🏗️ WHAT I'VE ACTUALLY SHIPPED
✔ SaaS Dashboard — multi-tenant, Stripe metering, sub-200ms queries, GPT-4o bot, 40% upsell increase
✔ FiTusion — 12k+ users, Lighthouse 95+, LCP 2.5s, AI assistant, 60% image reduction
✔ InstantRepair — mobile-first, 60fps animations, GPT-4o quote bot, lead conversion lift
✔ Real Estate — SSG + ISR, JSON-LD rich results, AI property recommendation chatbot
✔ Bistro OS — Flutter app on Android, Firebase sub-second sync, role-based UI, AI upsell
✔ Voice AI — Whisper + GPT-4o + Twilio, 70% calls automated, 60% handle time cut
✔ Lead Gen Agent — Playwright + GPT-4o ICP scoring, 500+ leads/day
Have a project? SEND A MESSAGE and tell me what you're building.
Steps for completing your project
After purchasing the project, send requirements so Saad can start the project.
Delivery time starts when Saad receives requirements from you.
Saad works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Analysis & Project Understanding
I will carefully review your project requirements, objectives, dataset (if provided), preferred tools (Python, TensorFlow, etc.), and expected deliverables. If needed, I’ll ask clarifying questions to ensure we align on scope, accuracy targets
Data Collection & Preprocessing
I will clean, tokenize, normalize, and preprocess the text data (removing noise, stopwords, handling missing values, etc.). For chatbots or sentiment analysis, I’ll structure the dataset properly for optimal training performance.