Hire the Best Automatic Speech Recognition Freelancers
in Pakistan

Conversational AI 🗣️ | AI Automation 🤖 | Backend Development ⚙️ | Model Integration 🔍 | Voice Assistants 🎙️ | LLM Integrations 🧠 | RAG Pipelines 🧩 | API Development 🔗 | Cloud Deployment ☁️ 🚀 Ready to save you time and money! With my AI Chatbots and NLP expertise, I can cut customer response times by 70%, boosting sales by up to 30%. Let’s make your workflows more efficient and your profits soar! Hi! I’m a Software Engineer and AI Developer with over 5 years of experience building intelligent chatbot systems and AI-powered automation solutions. I’ve delivered 50+ projects for clients worldwide from designing, developing, and deploying Conversational AI, RAG systems, and scalable backend integrations tailored to real business needs. With a Master’s in Artificial Intelligence (MSAI), I combine deep backend engineering expertise with advanced AI research to deliver production-ready systems. My approach blends research-driven innovation, clean architecture, and scalable design, ensuring every solution is both smart and sustainable. From idea to deployment, I handle the full lifecycle of AI development writing robust, maintainable code, ensuring clear communication, and delivering on time. My experience spans NLP systems, data pipelines, real-time APIs, and cloud deployment across AWS, Vercel, and Hugging Face Spaces. Skills Breakdown: 🗣️ Conversational AI Building AI chatbots and assistants using LangChain, OpenAI GPT-5, and FastAPI, capable of handling natural, context-aware conversations across platforms. 🤖 AI Automation & Workflow Creating intelligent document parsing, data extraction, and workflow automation systems using OCR, NLP, Zapier, n8n, and custom APIs. ⚙️ Backend Development Developing secure, scalable systems with Django REST Framework, FastAPI, and Flask, supporting AI workflows and real-time communication. 🔍 Model Integration & Data Intelligence Implementing semantic search and vector databases using pgvector, Pinecone, and Hugging Face Transformers for smarter contextual responses. 🎙️ Voice Assistants & Real-Time Systems Building voice-to-text and text-to-speech chatbots with Twilio Voice, VAPI AI, and Retell AI, enabling real-time conversational experiences. 🧠 LLM Integrations Connecting Large Language Models with APIs and business data to automate interactions and enhance user experience. Let’s Build Something Intelligent Looking to develop a GPT-powered chatbot, voice AI assistant, or custom AI automation workflow for your business? Let’s collaborate to create a scalable, intelligent, and high-performing solution tailored to your needs. 📩 Contact me today and let’s bring your AI vision to life.

Struggling to find someone who can actually build your AI system not just talk about it? You're not alone. A lot of "AI freelancers" can string together a few prompts or plug in an API, but very few can actually design and code a working system from the ground up. That's the gap I fill. I build production-ready AI systems for businesses, specializing in Retrieval-Augmented Generation (RAG) pipelines, computer vision applications, and LLM powered tools. My work is hands-on engineering, not just prompting I design and code the underlying systems using Python, OpenCV, and modern LLM frameworks, so what you get is a working product your business can rely on, not a fragile proof-of-concept that breaks the moment real users touch it. I hold a Machine Learning Specialization from Stanford University (Coursera), and I stay hands-on across the AI stack from computer vision to LLM applications to RAG systems because real client problems rarely fit into one narrow box. Check out my portfolio below for examples of systems I've built and delivered for past clients. Here's how I like to work: clear communication from day one so you're never wondering where your project stands, code that's clean and maintainable rather than just functional, and honest timelines instead of overpromises. I treat every project like it's my own, not just another gig to close out. If you need a RAG system, a computer vision pipeline, or an LLM application built right. send me a message and let's talk about your project. I'm happy to hop on a quick call to understand what you're trying to build before any commitment on your end.

𝗬𝗼𝘂𝗿 𝘁𝗲𝗮𝗺 𝗶𝘀 𝗯𝘂𝗿𝗻𝗶𝗻𝗴 50𝗞–𝟱𝟬𝟬𝗞/𝘆𝗲𝗮𝗿 𝗼𝗻 𝘄𝗼𝗿𝗸 𝗔𝗜 𝗰𝗮𝗻 𝗱𝗼 𝗯𝗲𝘁𝘁𝗲𝗿. 𝗜 𝗯𝘂𝗶𝗹𝗱 𝘁𝗵𝗲 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝘁𝗵𝗮𝘁 𝗿𝗲𝗰𝗹𝗮𝗶𝗺 𝗶𝘁. 25+ production AI systems shipped across healthcare, life sciences, distribution, hospitality, construction, fintech, and enterprise SaaS. Not prototypes. Real systems running 24/7 with measurable ROI. 𝐑𝐞𝐜𝐞𝐧𝐭 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬: 🧬 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈 𝐟𝐨𝐫 𝐋𝐢𝐟𝐞 𝐒𝐜𝐢𝐞𝐧𝐜𝐞𝐬 𝐑𝐞𝐠𝐮𝐥𝐚𝐭𝐨𝐫𝐲 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 Multi-agent platform automating IND/CTA submissions, clinical study reports, and safety narratives for biotech & pharma. Includes AI-powered document extraction, intelligent template generation, automated data propagation across regulatory modules, and human-in-the-loop validation. SOC 2 & GDPR compliant. Trusted by top-20 pharma companies. [Google ADK, LiteLLM, Agentic AI, AWS] 💰 𝐀𝐈 𝐅𝐢𝐧𝐚𝐧𝐜𝐢𝐚𝐥 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐟𝐨𝐫 𝐍𝐘 𝐈𝐧𝐯𝐞𝐬𝐭𝐦𝐞𝐧𝐭 𝐅𝐢𝐫𝐦 Built a Claude-powered pipeline that classifies 200+ page financial documents, extracts structured values into a governed database, and produces defensible outputs with an evaluation dataset ensuring accuracy across edge cases. [Claude, Document AI, Structured Extraction, Evals] 💍 𝐀𝐈 𝐊𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 𝐀𝐠𝐞𝐧𝐭 + 𝐑𝐞𝐯𝐞𝐫𝐬𝐞 𝐈𝐦𝐚𝐠𝐞 𝐒𝐞𝐚𝐫𝐜𝐡 𝐟𝐨𝐫 𝐉𝐞𝐰𝐞𝐥𝐫𝐲 𝐌𝐚𝐧𝐮𝐟𝐚𝐜𝐭𝐮𝐫𝐞𝐫 RAG-powered MS Teams assistant that captures institutional knowledge from emails, Zoho tickets, and legacy ERP (NAV 2009). Plus a custom computer vision search engine for jewelry B2B commerce with 0% dead-end searches. [Azure OpenAI, RAG, FastAPI, Computer Vision] 📦 𝐀𝐈 𝐎𝐫𝐝𝐞𝐫 𝐏𝐚𝐫𝐬𝐢𝐧𝐠 + 𝐂𝐨𝐧𝐯𝐞𝐫𝐬𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐏𝐨𝐫𝐭𝐚𝐥 𝐟𝐨𝐫 𝐃𝐢𝐬𝐭𝐫𝐢𝐛𝐮𝐭𝐨𝐫 Automated PO parsing across 25,000+ SKUs. 30 min → under 1 min, 97% accuracy, 70% faster fulfillment. Plus a conversational AI portal (MCP-powered) for natural-language access to orders, invoices, inventory & support cases. [Vertex AI, Fine-tuned Gemini, Claude, MCP, NetSuite] 🍽 𝐕𝐨𝐢𝐜𝐞 𝐀𝐈 + 𝐖𝐡𝐚𝐭𝐬𝐀𝐩𝐩 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐟𝐨𝐫 𝐑𝐞𝐬𝐭𝐚𝐮𝐫𝐚𝐧𝐭 𝐆𝐫𝐨𝐮𝐩 Voice + WhatsApp agent handling 95%+ of reservations and event inquiries across multi-venue hospitality group. £30K annual savings, zero dropped leads, GDPR-compliant. [Voice AI, WATI, Toast API, WooCommerce] 🏗 𝐀𝐈 𝐋𝐞𝐚𝐝 𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫𝐲 𝐀𝐠𝐞𝐧𝐭 𝐟𝐨𝐫 𝐂𝐨𝐧𝐬𝐭𝐫𝐮𝐜𝐭𝐢𝐨𝐧 LLM-powered agent scans local news and institutional sites for capital campaigns, grants & property purchases. 90%+ lead relevance, real-time MS Teams delivery, duplicate prevention, and update intelligence. [Python, LLM APIs, MS Teams API] 🩺 𝐀𝐈 𝐃𝐢𝐚𝐠𝐧𝐨𝐬𝐭𝐢𝐜 & 𝐕𝐨𝐢𝐜𝐞 𝐀𝐬𝐬𝐢𝐬𝐭𝐚𝐧𝐭 𝐟𝐨𝐫 𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 𝐋𝐚𝐛 Voice + chat + OCR healthcare assistant handling test discovery, symptom analysis, appointment booking, prescription parsing & report interpretation for one of Pakistan's largest diagnostic labs. [Pinecone, Gemini, Logfire] 💊 𝐀𝐈 𝐇𝟏𝐁 𝐕𝐢𝐬𝐚 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 Multi-tenant SaaS automating case management, OCR document extraction (>95% accuracy), LLM-powered petition drafting, and billing compliance for immigration law. [Django, AWS Textract, OpenAI, QuickBooks API] 𝐖𝐡𝐚𝐭 𝐈 𝐛𝐮𝐢𝐥𝐝 𝐰𝐢𝐭𝐡: ◆ 𝐀𝐈 & 𝐀𝐠𝐞𝐧𝐭𝐬: LangChain, LangGraph, LlamaIndex, Pydantic AI, Google ADK, OpenAI API, Claude, AWS Bedrock, MCP Servers, Multi-Agent Orchestration ◆ 𝐕𝐨𝐢𝐜𝐞 𝐀𝐈: Retell AI, OpenAI Realtime API, ElevenLabs, Whisper, Custom Voice Agents ◆ 𝐑𝐀𝐆 & 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞: Pinecone, Weaviate, ChromaDB, Qdrant, PDF/OCR Parsing, ERP Integration (NetSuite, Oracle), OCR, Document extraction, PDF extraction. ◆ 𝐎𝐛𝐬𝐞𝐫𝐯𝐚𝐛𝐢𝐥𝐢𝐭𝐲: LangSmith, Logfire, Phoenix Arize, LLM Evaluation ◆ 𝐒𝐭𝐚𝐜𝐤: Python, FastAPI, React, Next.js, PostgreSQL, Docker, AWS/Azure/GCP ◆ 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬: HubSpot, Salesforce, NetSuite, Zapier, Make, Slack, Stripe ✅ 𝗚𝗼𝗼𝗱 𝗳𝗶𝘁 𝗶𝗳: - You have 5+ employees and a decision-maker in the room - Budget is $5K+ with a target of $10K+ in measurable savings within 90 days - Ready to start within 2 weeks ❌ 𝗡𝗼𝘁 𝗮 𝗳𝗶𝘁 𝗶𝗳: - Price is your #1 decision factor - You expect results in under 2 weeks - You don't value mutual respect & collaboration 𝗪𝗵𝘆 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 𝗿𝗲-𝗵𝗶𝗿𝗲 𝗺𝗲: → 𝐙𝐞𝐫𝐨 𝐬𝐮𝐫𝐩𝐫𝐢𝐬𝐞𝐬. Every milestone, deliverable, and cost locked in from day one. No scope creep. → 𝟗𝟑% 𝐨𝐧-𝐭𝐢𝐦𝐞, 𝐨𝐧-𝐛𝐮𝐝𝐠𝐞𝐭. I scope with precision and deliver exactly what I promise. → <𝟑𝟎 𝐦𝐢𝐧 𝐫𝐞𝐬𝐩𝐨𝐧𝐬𝐞 𝐭𝐢𝐦𝐞. Every time. → 𝐄𝐧𝐝-𝐭𝐨-𝐞𝐧𝐝 𝐨𝐰𝐧𝐞𝐫𝐬𝐡𝐢𝐩. Concept to production. 12 years.

A results-driven AI Engineer with 10+ years of experience delivering production-ready Machine Learning, Computer Vision, Deep Learning, and NLP solutions for startups, enterprises, and research-driven organizations. I help businesses automate processes, extract insights from data, and deploy scalable AI systems that create measurable business impact. 🤖 Machine Learning & Deep Learning Supervised & Unsupervised Machine Learning models Deep Learning architectures using PyTorch & TensorFlow Image Classification & Feature Extraction pipelines Object Detection & Tracking using YOLO Time-Series Forecasting & Predictive Analytics Model Optimization, Hyperparameter Tuning & Cross-Validation High-performance model training for real-world deployment 👁️ Computer Vision Real-time Object Detection, Counting & Tracking Pose Estimation & Action Recognition systems Face Recognition & Face Verification pipelines Image Segmentation & Keypoint Detection OCR (Optical Character Recognition) & Image Synthesis OpenCV-based real-time Computer Vision pipelines Production-ready Computer Vision systems for edge & cloud 📝 Natural Language Processing (NLP) Sentiment Analysis & Text Classification Chatbots & Conversational AI systems Text Generation, Translation & Summarization Custom NLP pipelines using Transformers (BERT-style models) End-to-end NLP model development & optimization 🏥 Industry & Applied AI Solutions Medical Imaging & Diagnostic AI solutions Smart Surveillance & Vision Analytics platforms Retail & Manufacturing Automation using AI AI-powered Business Intelligence & Data Analytics Custom AI Use-Case Definition & Technical Roadmapping 🛠️ Tech Stack Languages & Frameworks Python TensorFlow, Keras, PyTorch Scikit-learn, NumPy, Pandas, SciPy OpenCV, Matplotlib Databases MySQL MongoDB Firebase SQL & PandasQuery ⭐ Why Clients Choose Me ✅ Clear communication & fast response ✅ Production-ready, well-documented code ✅ Strong research + real-world deployment experience ✅ ROI-driven AI solutions ✅ Long-term project & startup collaboration mindset 🚀 How I Can Help You Define the right AI strategy for your business Build custom ML / CV / NLP models Improve accuracy, speed & scalability of existing systems Deploy AI solutions to cloud or edge devices End-to-end AI project execution 🤝 Let’s Work Together If you’re looking for a reliable AI Engineer who understands both technology and business, send me a message. I’m ready to transform your idea into a high-performing AI solution.

I build and deploy Python-based AI automation systems for document-heavy business workflows, including email processing, document classification, structured data extraction, internal RAG, and API integrations. 🚀 Production AI Automation Experience One example is Smart Inbox, a production system that monitors a corporate Exchange mailbox and identifies nine types of import documents. It processes PDFs, scans, Word files, spreadsheets, CSVs, and images, extracts the required information, and automatically updates a tracking workbook with 60+ columns. I built the workflow with: OCR and vision fallback Data validation Retry and reconnection handling Business-rule processing Windows service deployment Reliable background execution The goal was not to create another document-processing demo, but to build a reliable automation system capable of handling real operational files and edge cases. ⭐ Proven Upwork Results I have also completed two 5-star Upwork projects: Generative AI FastAPI Backend — deployed on AWS using Docker YOLOv8 Object Detection System — model training, validation, optimization, and technical documentation 🛠️ I Can Help With PDF & document classification OCR & structured data extraction Email → Excel / ERP / Database / API automation Private RAG assistants for internal documents Python & FastAPI backend development Docker & AWS deployment Validation, retries, logging & background workers 🤖 Other Relevant AI Work My other projects include: Oracle EBS Email Automation Agent AI Ticket-Triage Workflow Private Multi-PDF RAG Assistant 🔍 How I Approach Projects I start by reviewing representative files, the required output, and where the extracted data needs to go. This helps identify format variations, missing fields, integration requirements, and potential failure cases before development begins—which usually results in a more reliable system and fewer surprises later. 📩 Send me a few sample documents or a description of your current workflow. I can review the requirements and suggest a practical first milestone.

I build production-ready RAG chatbots, voice AI agents, and autonomous AI systems — designed and deployed to hold up under real usage, not just demos. My work covers the full pipeline: retrieval architecture, agent design, voice integration, and cost optimization, so the LLM bill doesn't become a second project six months in. I don't just wire up an API to a model, I build systems that keep answering correctly and keep costing what they should, long after launch. My expertise includes: RAG Chatbots & Retrieval Architecture (Hybrid Search, Re-ranking, Semantic Caching) Autonomous AI Systems & Multi-Step Agent Workflows (LangGraph, Tool Calling, Memory) Voice AI Agents & Conversational IVR (Inbound Calls, Appointment Booking, Automated Follow-ups) LLM Cost Optimization (Query Compression, Token Budgeting, Sentence-Aware Chunking) Vector Databases & Semantic Search (Pinecone, pgvector, ChromaDB, FAISS) AI Workflow Automation & Custom Chatbots / Internal Knowledge Bases Full-Stack AI Applications (Python, FastAPI, n8n, Zapier) Cloud Deployment & Integration (AWS, Google Sheets/Calendar API, Docker) Recent projects include: Legal Document Intelligence Platform — Designed a RAG engine for plain-language Q&A over complex legal documents, plus a generation engine that drafts custody agreements, contracts, and divorce filings from structured input. Cut manual drafting time from hours to minutes. Shopify Live RAG Chatbot Pipeline — Built a crawler that continuously feeds live product data from a client's Shopify store into a RAG chatbot, giving customers accurate, real-time answers with zero manual updates. Voice AI Agent for a Salon (Vapi) — Built an inbound voice assistant that answers calls, books appointments directly into Google Sheets, and sends automated confirmation emails — full hands-off front desk automation. LeanRAG — Cost-Optimized RAG Architecture — Implemented four layered cost-optimization techniques (semantic caching, query compression, token budget enforcement, sentence-aware chunking) that cut LLM inference costs by 30–40% without losing answer quality. Karachi Air Quality Index Forecasting System — Built an end-to-end ML pipeline (data collection, preprocessing, model training, deployment) as a usable predictive tool for a non-technical team. What you can expect: Clean, maintainable, production-quality code with clear documentation Retrieval and voice systems tuned for accuracy, not just plausible-sounding answers Cost-aware architecture — token budgets and optimization built in from day one Clear communication and reliable post-deployment support I work with startups, growing businesses, and teams building AI products for measurable results, not experimental prototypes. If you're dealing with a support bottleneck, need a RAG chatbot that actually knows your documents, an autonomous system that runs a workflow end-to-end, or an LLM bill that's gotten out of hand, message me and I'll recommend the most practical approach.