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MuhammadAamirGulzar/README.md

Hi, I'm Aamir 👋

AI Engineer @ Neste · Production Generative AI & Agentic Systems
I build AI systems that make it to production — not just to a demo.

LinkedIn Email Google Scholar

I'm an AI Engineer specializing in production-grade Generative AI, RAG, and agentic systems, with peer-reviewed research in medical AI. Over the past 3+ years I've shipped LLM applications, real-time voice agents, enterprise automation pipelines, and multimodal systems - from research prototype to scalable deployment.

  • 🔭 Currently: Senior AI Engineer at Neste (Finland, remote) - architecting enterprise voice agents & automated contract generation on Vertex AI + Snowflake
  • 🔬 Research: First-author, Q1 journal (2025) - benchmarking pathology foundation models for MSI prediction in colorectal cancer · Google Scholar
  • 🎓 MS Computer Science, FAST-NUCES · former Lecturer & AI Trainer
  • 🧠 Building: a multi-agent system (agentic orchestration, tool use, evaluation)
  • 📫 Reach me: amirgulzar328@gmail.com

🚀 Featured Work

Project What it demonstrates Stack
Voice AI Microservice Real-time multi-tenant voice platform · 1,000+ concurrent sessions · sub-500ms latency Pipecat · WebRTC · AssemblyAI · FastAPI
Contract Automation Pipeline Enterprise doc automation · 98%+ field accuracy · <5 min/trade Vertex AI Pipelines · Gemini 2.5 Pro · Snowflake
Zoning Map Agent Deterministic-first agent that recovers delisted docs · bounded LLM escalation Python · Playwright · Docker
colonmsi-fm Code behind my Q1 pathology-AI publication CONCH · UNI · PyTorch · OpenSlide
Urdu AI Video Creator Full-stack generative video · voice cloning + lip-sync Wav2Lip · XTTS v2 · Next.js · FastAPI

🛠️ Tech I Work With

GenAI & Agents LangChain LangGraph CrewAI LlamaIndex Pipecat RAG Gemini OpenAI Hugging Face

ML / DL PyTorch TensorFlow scikit-learn

Backend & Data Python FastAPI PostgreSQL Snowflake Qdrant

Cloud & MLOps GCP AWS Azure Docker

🎯 What I focus on

Agentic AI & RAG      →  LangGraph, multi-agent orchestration, agentic RAG, evaluation (Ragas/DeepEval)
Voice & Multimodal    →  real-time ASR/TTS, WebRTC pipelines, VLMs, generative media
LLM Engineering       →  fine-tuning (LoRA/QLoRA), quantization, on-device/edge inference
AI Research           →  computational pathology, spatial transcriptomics, foundation models

Open to senior AI engineering roles, research collaborations, and consulting on GenAI products.

Popular repositories Loading

  1. TextClassification_ML_DL TextClassification_ML_DL Public

    First Text Classification Repo using Machine learning and Deep learning

    Jupyter Notebook

  2. transformer-qa-pipeline transformer-qa-pipeline Public

    Fine-tune and run extractive QA models on SQuAD with reproducible training and inference workflows.

    Python

  3. vib-baseline-wsi-finetuning vib-baseline-wsi-finetuning Public

    Variational Information Bottleneck baseline (Li et al., CVPR 2023) adapted for weakly-supervised WSI classification research

    Python 1

  4. cnn-baseline-wsi-classification cnn-baseline-wsi-classification Public

    ResNet34/ConvNeXt patch-classification baseline for WSI biomarker prediction; comparison baseline in an MSI/MSS research pipeline

    Jupyter Notebook

  5. kat-baseline-zenodo-patches kat-baseline-zenodo-patches Public

    KAT (Kernel Attention Transformer) baseline adapted for a Zenodo pre-patched WSI dataset; part of an MSI/MSS classification research pipeline

    Python

  6. kat-baseline-tcga-wsi kat-baseline-tcga-wsi Public

    KAT (Kernel Attention Transformer) baseline adapted for a TCGA colorectal cancer WSI cohort; part of an MSI/MSS classification research pipeline

    Python