Open to opportunities

MILHAN ZAHID

@milhanzahid

Message

AI Engineer building LLM-powered applications, agentic systems, and RAG pipelines with measurable production impact.

Pakistan

Message

What I'm looking for

I want to build production-ready LLM and RAG systems with agent orchestration, strong evaluation, and monitoring. I’m looking for teams where I can own end-to-end pipelines on AWS/GCP and deliver measurable impact.

I’m an AI Engineer with 3+ years of production experience building LLM-powered applications, agentic systems, and RAG pipelines. I focus on shipping end-to-end AI systems that consistently improve business outcomes, not just demos.

At Datricx, I architected and deployed a full-cycle AI-powered medical billing system with Python and LangChain, engineering automation pipelines that reduced manual intervention across critical revenue cycle touchpoints. I implemented an automated denial management and claim validation engine using RAG-based validation logic, driving sub-5% denial rates and 90%+ collection efficiency against an industry average of 60–80%.

Across production and intern roles, I’ve delivered measurable reliability and performance: GCP automation pipelines processing 10M+ records daily with 99%+ pipeline reliability, automated monitoring with Prometheus to maintain 99%+ data accuracy, and ML work achieving +18% accuracy gains with 99.9% uptime while reducing infrastructure costs by 25%. I’m specialized in LangChain, LangGraph, fine-tuning (LoRA/QLoRA), model evaluation, and deploying on AWS and GCP with strong data quality and monitoring practices.

Experience

Work history, roles, and key accomplishments

Current

AI Systems Developer

Current

Datricx

Dec 2025 - Present (6 months)

Architected and deployed a full-cycle AI-powered medical billing system using Python and LangChain, reducing manual intervention across revenue cycle touchpoints. Built a RAG-based denial management and claim validation engine achieving sub-5% denial rates and 90%+ collection efficiency (vs. 60–80% industry average).

Python LangChain Denial Management Vector Search Data Quality Lang Chain

AI & Automation Engineer

SilverTech Limited

May 2025 - Nov 2025 (6 months)

Engineered end-to-end automation pipelines integrating GCP (BigQuery, Cloud Storage) with Python orchestration, reducing manual data processing time by 40% across business workflows. Implemented Prometheus-based monitoring to proactively flag anomalies and maintain 99%+ data accuracy in production.

Python GCP Big Query GCP Data Orchestration Anomaly Detection

AI Engineer Intern

FiveRivers Technologies

Feb 2025 - May 2025 (3 months)

Designed and deployed automated data ingestion pipelines with Python and BigQuery, processing 10M+ records daily with 99%+ pipeline reliability. Built scalable analytics workflows from scratch using dbt and owned end-to-end delivery of data requirements.

Python BigQuery Data Ingestion DBT Workflows SQL

ML Engineer Intern

Enigmatic

Nov 2024 - Jan 2025 (2 months)

Trained ML models to improve accuracy by +18% over baselines using Scikit-learn and Vertex AI. Implemented automated monitoring and model retraining pipelines with MLflow and Evidently AI to detect data and concept drift, achieving 99.9% uptime and reducing infrastructure costs by 25%.

scikit learn Vertex AI AWS S3 AWS Lambda AWS RedShift MLFlow Evidently AI

Data Analyst

Brown Fox Technology

Feb 2024 - Jun 2024 (4 months)

Optimized monthly financial reconciliation by building automated BigQuery data pipelines, cutting processing time by 30%. Created KPI dashboards using BigQuery and Data Studio to deliver real-time performance visibility with zero manual refresh cycles.

SQL BigQuery Data Pipelines Financial Reconciliations KPIs Google Data Studio Reporting Data Studio