Talal AhmedArticles

AI & Backend Engineer

Talal Ahmed

I'm Talal Ahmed an AI engineer. I build LLM systems, RAG pipelines, and the scalable backends behind them.

Experience

  1. May 2025 — June 2026

    Effica

    · AI Engineer (Contract)

    Remote · Canada

    • Built a serverless document ingestion pipeline on AWS Lambda for large health documents and research articles, using a two-stage parser for structured extraction and pgvector for semantic search.
    • Developed an end-to-end health report generation system from doctor–patient calls: audio → transcription → LLM/NLP pipelines producing multiple clinical and practitioner-ready report types.
    • Built prompt-configurable report workflows letting practitioners dynamically tune report structure, tone, and medical detail.
  2. May 2025 — Aug 2025

    Metal

    · AI Backend Engineer (Contract)

    Remote · Singapore

    • Built an intelligent network-discovery system analyzing LinkedIn/Gmail connections to find intro-paths to investors, backed by complex SQL (15+ filters).
    • Built an AI-enhanced investor search engine using pgvector embeddings; optimized PostgreSQL queries to sub-second on 100K+ profiles (500ms → <50ms).
    • Led the SuperTokens authentication migration to the latest versions.
  3. Feb 2024 — Feb 2025

    Mosaik

    · AI Engineer

    Remote · United States

    • Fine-tuned open-source LLMs (Phi, Llama) for query classification with Llama Factory.
    • Built a RAG-based chatbot (FastAPI) over client property documents and a Text-to-SQL system using RAG + LangChain + GPT.
    • Built an end-to-end image auto-labeling pipeline with GroundingDINO and AutoDistill.
  4. Mar 2023 — Jan 2024

    Beam

    · ML / Backend Engineer

    Remote · Germany

    • Built semantic routers using GPT for intent classification and fine-tuned a BERT model for query classification.
    • Developed an AI backend with LangChain, RAG, and FastAPI; designed a RAG pipeline for dynamic tool identification.
    • Engineered agent workflows via N8N connecting Slack, Gmail, and Google Docs; set up GitHub Actions for automated AWS deployment.
  5. Jan 2023 — Mar 2023

    Liquid Technologies

    · ML Engineer
    • Computer-vision model training with YOLOv7/YOLOv5, Roboflow, and image-processing techniques.
  6. Sep 2022 — Dec 2022

    University of Karachi

    · Research Assistant
    • Worked with a professor on deep neural networks for medical image segmentation, improving MRI analysis.

Skills