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Naeem K. — AI/ML Engineer | LLMs • RAG • FastAPI • Production Systems from Pakistan

Naeem K.

AI/ML Engineer | LLMs • RAG • FastAPI • Production Systems

Pakistan 1-2 years
Open to offersNew to Platform
Languages
EnglishUrdu
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About

I build production AI/ML systems—RAG pipelines, LLM integrations, semantic caching that cuts costs 60%.

Recently deployed a Financial Document Analyzer using FAISS, multi-provider LLM routing (Groq/Gemini/OpenAI), and FastAPI. Maintains 95% accuracy while reducing API costs by 60%.

I debug by reading traces, own features end-to-end, and ship fast. Looking for roles where I can contribute immediately while pushing myself harder.

Stack: Python, FastAPI, PyTorch, TensorFlow, LangChain, FAISS, PostgreSQL, Docker

GitHub: github.com/naeemkhan988

LinkedIn: linkedin.com/in/naeem-khan988

Open to: AI/ML Engineer, Junior/Associate roles. Remote-friendly or on-site anywhere in Pakistan. Available to start immediately.

Experience

  • AI Engineer (Remote Contract)

    Falcon Technology Solutions, Oak Brook, Illinois, USA · 2026 — 2026
    Designed, developed, and deployed machine learning and AI-driven solutions for production environments Integrated Large Language Model (LLM) capabilities into company products and platforms Developed and maintained data pipelines for AI model training and inference Collaborated with cross-functional teams to deliver production-ready AI features on schedule
  • Volunteer — Technology & Innovation Support

    Business Incubation Center, Peshawar, Pakistan · 2023 — 2026
    Mentored 10+ early-stage startups on AI/ML integration, technology stack selection, and proof-of-concept development using TensorFlow and Generative AI Conducted technical workshops on machine learning fundamentals, data science, LLMs, and modern development practices for entrepreneurs Provided technical support for innovation initiatives including hackathons, pitch competitions, and startup acceleration programs Reviewed code and architecture decisions for 5+ startup projects
  • AI Engineer

    University of Peshawar, Pakistan · 2024 — 2025
    Deployed production NLP models using FastAPI and Docker achieving 95% F1-score for fake news detection using fine-tuned RoBERTa transformer model Developed GRU-enhanced RoBERTa classifier using TensorFlow achieving 93% accuracy for fake review detection Implemented end-to-end ML pipelines covering data preprocessing, model training, evaluation, hyperparameter optimization, and production deployment Collaborated with researchers to define model requirements and deliver production-ready AI solutions