Moazzim Ali Bhatti

Moazzim Ali Bhatti

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AI Consultant and Engineer
Islamabad, Pakistan
Contact Moazzim regarding: 
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Full-time jobs
Starting at USD3k/month
Flexible work
Starting at USD20/hour
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Timeline

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Résumé

Jobs verified_user 0% verified
  • G2i Inc.
    Senior AI/ML Consultant
    G2i Inc.
    Apr 2026 - Current (4 months)
    • Directly offered a senior consulting engagement focused on LLM research. • Worked on a confidential contractual project on LLM research, delivering highly effective results.
  • Bush and Bush Law Group
    AI Consultant
    Bush and Bush Law Group
    May 2025 - Apr 2026 (1 year)
    • Consulted 10+ clients on AI strategy and GenAI solution design, reducing operational costs by up to 35%. • Delivered end-to-end AI implementations including chatbots and automation pipelines across AWS and Azure. • Translated complex AI capabilities into actionable business insights, accelerating client decision-making by 20%.
  • H
    Lead AI Engineer
    Halo Informatics
    Dec 2022 - Mar 2026 (3 years 4 months)
    • Led a remote AI team, delivering 15+ real-time chatbots, voice bots, and AI avatars, reducing response time by 40% and increasing automation efficiency by 50%. • Architected and deployed AI solutions with CI/CD, Docker, and cloud platforms (AWS, Azure), achieving 99.9% uptime. • Streamlined project workflows via Jira, reducing task completion time by 30% through optimized sprint planning. • Mentored 10+ engineers, enhancing team productivity and reducing onboarding time by 25%. • Managed MVP data documentation and organization within Airtable, ensuring a structured foundation for initial project prototyping and cross-functional data accessibility.
  • T
    AI Engineer
    Techtimize
    Sep 2018 - Dec 2022 (4 years 4 months)
    • Designed 30+ AI-powered chatbots and Voice Agents, increasing customer engagement by 45% using TensorFlow, PyTorch, and LangChain. • Fine-tuned and integrated AI models with LLaMA, GPT-based models, and Rasa, improving system performance by 35%. • Enhanced NLP models for NER, sentiment analysis, and contextual embeddings, leading to a 35% increase in accuracy. • Deployed AI models using Docker and AWS, ensuring high availability and seamless integration. • Developed advanced data visualization dashboards for the Liliho project web application, providing stakeholders with real-time insights into model performance and project metrics.
Education verified_user 0% verified
  • Riphah International University
    Masters in Computer Science
    Riphah International University
    Jan 2020 - Jan 2022 (2 years 1 month)
Projects (professional or personal) verified_user 0% verified
  • s
    AI-based Education Platform
    scholarme.ai
    Sep 2022 - Dec 2024 (2 years 4 months)
    • Designed and developed a large-scale AI-powered education platform using LLMs and RAG architectures to support full UK O/A Levels and GCSE curricula. • Built real-time conversational AI systems enabling 24/7 multilingual student interaction with streaming responses and low latency. • Implemented personalization logic to adapt responses based on student learning behavior and preferences. • Developed real-time voice agents with multi-language and multi-voice support, focusing on natural interaction and interruption handling. • Integrated cloud-based deployment using AWS (S3, EC2, Docker), ensuring system scalability and high availability. • Tech Stack: Python, FastAPI, React, Node.js, OpenAI, LangChain, Pinecone, PostgreSQL, Supabase, AWS.
  • l
    Liliho
    liliho.com
    May 2019 - May 2020 (1 year 1 month)
    • Built an AI-powered hotel booking platform leveraging GPT-4o and RAG, accelerating real-time apartment detail extraction from 5,000+ PDFs, improving data processing efficiency by 35%. • Developed a chat-based system with session management, increasing user engagement by 50% and enhancing booking conversions. • Utilized Pinecone Vector Database for semantic search and retrieval, reducing query response time by 40% for apartment-specific searches. • Integrated APIs to optimize backend communication, improving system response efficiency and maintaining a 99.9% uptime on AWS EC2 and S3. • Designed and maintained comprehensive dashboards to monitor system performance and key metrics throughout the development lifecycle of the platform. • Manag