Open to opportunities

Arsal Shaikh

@arsalshaikh

Message

I build production machine learning systems for finance, banking, and intelligent automation.

Pakistan

Message

What I'm looking for

I'm looking to build production-ready ML and AI solutions, particularly in finance, digital banking, NLP, LLMs, and RAG. I value opportunities to work on scalable data systems, applied research, and high-impact products.

At Techlogix (AdalFi), I build and deploy credit risk, credit scoring, customer segmentation, and churn prediction models for digital banking partners. My work supports underwriting decisions, targeted retention campaigns, and high-value customer identification.

I've optimized large-scale data workflows with Python, SQL, and Apache Spark, including ETL improvements that reduced processing time by 40% at Yotta Data Optimizer. I also developed Django backend services and REST APIs that improved reliability and response speed.

I prototype LLM and RAG systems with LangChain and vector databases for financial-document workflows. My projects include deepfake video detection, a real-time OpenCV and YOLOv8 attendance system, and an EEG-controlled drone pipeline.

I'm a published researcher at NeurIPS 2025 and IEEE FIT 2025, a Gold Medalist, and a Computer Science graduate from GIK Institute. I bring hands-on ML, deep learning, data engineering, and backend experience to practical, production-ready AI solutions.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist

Current

Techlogix (AdalFi)

Jul 2025 - Present (1 year 1 month)

Built and deployed credit risk and credit scoring models using XGBoost and Scikit-learn, improving AUC over baseline. Developed customer segmentation and churn prediction models with TensorFlow/PyTorch, and engineered SQL and Apache Spark pipelines for feature engineering and EDA on large-scale banking datasets.

Python SQL TensorFlow PyTorch scikit learn XGBoost Apache Spark ETL NLP RAG Vector Databases

IT Intern

Punjab Revenue Authority

Jul 2024 - Aug 2024 (1 month)

Built an AI-powered Digital Tax Assistant using NLP and ML, cutting taxpayer query resolution time by 40%. Documented 100+ legal cases on international tax standards into a structured analytical framework adopted by the policy team.

NLP Machine Learning

Program Developer

Yotta Data Optimizer Inc.

Jan 2024 - Jun 2024 (5 months)

Optimized ETL pipelines using Python, SQL, and Apache Spark, reducing data processing time by 40%. Built scalable big data applications that improved reporting accuracy by 30% and decision speed by 25%, and developed Django backend services and REST APIs.

Python SQL Apache Spark ETL Django REST APIs