Faizan

Zscaler

AI/ML Software Engineering Intern · San Jose, CA

• Architected and productionized an LLM-powered Model Context Protocol (MCP) automation system orchestrating Hadoop→DBT migrations and pipeline deduplication across large-scale data infrastructure, at 95%+ task accuracy.
• Shipped end-to-end with LangGraph, Redis, Postgres, and AWS: 10× faster runtime, ~70% lower latency, and ~$1M+ annual engineering cost savings across 100+ weekly workflows in a 500B+/day events environment.

Pennsylvania State University

Graduate Research Assistant, Data Science · Malvern, PA

• Led end-to-end development of applied ML, NLP, and agentic AI systems over 10M+ record, multi-source datasets.
• Built and deployed NLP pipelines (scraping, embeddings, supervised ML) over 1M+ text records at ~85–90% classification accuracy across energy, healthcare, and security domains.
• Developed predictive and causal models, improving accuracy ~19% through feature engineering, PCA, and rigorous experimentation.

Beam AI

Data Analytics Team Lead (GTM) · Berlin, Germany

• Built production reporting pipelines and executive dashboards (Python, SQL, ETL), cutting reporting turnaround by 40%.
• Engineered a recommendation system (collaborative filtering, Scikit-learn), improving precision 30% and product conversions 12%.
• Developed predictive ROI models (Pandas, NumPy) supporting 5 enterprise PoCs (~€150K total contract value).

Daraz

Data Analyst, Operational Excellence · Lahore, Pakistan

• Led operations analytics across 50+ First Mile logistics stations, analyzing 1M+ customer-feedback records (SQL, Python) to surface systemic bottlenecks and drive an 18% increase in nationwide customer satisfaction.