Ashish Verma
Union City,CA
Summary
Seasoned Applied Scientist and Data Engineering Leader with 14+ years of experience at PayPal and enterprise organizations, specializing in designing and scaling data pipelines, AI/ML systems, and deploying LLM-driven solutions. Proven track record in fraud detection, anomaly detection, and RAG implementations using AI Agents.
Overview
15
15
years of professional experience
1
1
Certification
Work History
Applied Scientist & Lead Data Engineer
PayPal Inc
02.2022 - Current
- Agent based data ingestion pipeline for automate schema evolution for M&A projects.
- Multi agent based based workflow for daily batch lag detections.
- MCP based BigQuery dataset summarizer.
- Engineered anomaly detection system using VAE-BiLSTM and CNN-BiLSTM models on Kafka, Spark, and GCP, reducing detection time by 40% and enhancing system security.
- Implemented NLP-driven RAG system with LangChain and LlamaIndex docs.reltio.com as external MDM system for UEC program.
- LLM Fine tuning using LoRA and QLoRA techniques.
- Developed interactive dashboards in Tableau and Power BI to monitor key operational metrics and ML model performance.
- Architecture and led development of scalable batch and real-time data pipelines using Apache Spark and Kafka, improving data latency and ensuring high data quality.
- Mentored and guided cross-functional teams on ML best practices, feature engineering, and production deployments.
Data Engineer
Kforce Inc
02.2020 - 02.2022
- Built and optimized real-time data ingestion pipelines with Kafka Streams and GCP Dataflow for AI-driven applications.
- Collaborated on time-series forecasting models using TensorFlow, Spark ML, and PyTorch, improving forecast accuracy by 30%.
- Automated data workflows and containerized microservices with Docker and Kubernetes, reducing deployment time by 30%.
- Established a centralized feature store using PySpark and BigQuery, streamlining the ML model training and deployment lifecycle.
Data Engineer
Cognizant Technology
03.2014 - 02.2020
- Designed ETL workflows with Python Frameworks and re-architected Spark-based pipelines to migrate large-scale financial datasets to cloud environments, improving processing efficiency by 20%.
- Deployed classification models for fraud detection using Scikit-learn and statistical analysis, enhancing detection capabilities in financial systems.
Software Engineer
Wipro Technologies
11.2010 - 03.2014
- Developed enterprise data warehouse solutions and automated reporting processes using PL/SQL and Python, reducing manual reporting by 50%.
Education
PhD - Machine Learning
University of York
London12.2031
Master of Science - Data Science & Analytics
Old Dominion University
Norfolk, VA03.2025
Bachelor of Technology - Computer Science & Engineering
Kanpur University
India06.2010
Skills
- Proficient in Agentic AI tools
- Tools & Frameworks: TensorFlow, PyTorch, Scikit-learn, Spark ML, LangChain, LlamaIndex
- Machine Learning & AI: Regression, Classification, Clustering, Deep Learning (CNN, RNN), NLP, LLMs, RAG, Anomaly Detection
- Data Engineering: Apache Spark, Kafka, Databricks, Airflow, BigQuery, Pub/Sub, Hadoop
- Cloud & DevOps: GCP (BigQuery, Dataflow, Pub/Sub, SageMaker), AWS, Kubernetes, Docker, CI/CD (Jenkins, Git)
- Programming: Python, SQL, R, C, CUDA
- Visualization: Tableau, Power BI, Plotly, Matplotlib, Seaborn
Certification
- Google Cloud Certified Professional Data Engineer
- Google Cloud Certified Professional Machine Learning Engineer
- Azure Certified Data Scientist
- Data bricks Spark Certified Professional
- Patent: AI Fraud Investigation Assistant (PayPal) in process.
- Patent: Cross-Border Payment Navigator (PayPal) in process.
Publications
- Energy-Aware Prompt Optimization for Large Language Models: Balancing Accuracy, Cost, and Sustainability. TechRxiv. https://www.techrxiv.org/users/954699/articles/1323739
- Variational Autoencoder and BiLSTM-based Anomaly Detection for Beam Stability in Spallation Neutron Sources. TechRxiv. https://www.techrxiv.org/users/954699/articles/1323733
Timeline
Applied Scientist & Lead Data Engineer
PayPal Inc
02.2022 - Current
Data Engineer
Kforce Inc
02.2020 - 02.2022
Data Engineer
Cognizant Technology
03.2014 - 02.2020
Software Engineer
Wipro Technologies
11.2010 - 03.2014
Master of Science - Data Science & Analytics
Old Dominion University
PhD - Machine Learning
University of York
Bachelor of Technology - Computer Science & Engineering
Kanpur University
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