Available to hire
Hi, I’m Alfredo Garcia, a Senior Data Scientist and Machine Learning Engineer with over 12 years of experience specializing in graph-based learning, generative AI, and large-scale data intelligence systems.
I’ve built end-to-end ML pipelines, explainable AI frameworks, and AI-driven automation across finance, FMCG, and enterprise SaaS; I enjoy collaborating across engineering and product teams and mentoring junior data scientists. I’m open to remote positions only.
Experience Level
Expert
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Language
Afar
Advanced
Bashkir
Advanced
Work Experience
Senior Data Scientist at Cognizant
January 1, 2021 - October 28, 2025Designed and deployed retrieval-augmented generation (RAG) systems integrating LLMs and graph-based knowledge stores for enterprise intelligence workflows; Architected layered AI applications using LangChain, LangGraph, and LangSmith for automated reasoning, data extraction, and decision support; Built end-to-end ML pipelines on AWS SageMaker and Azure ML with CI/CD using Terraform and Docker; Implemented graph reasoning engines using Neo4j, PyTorch-Geometric, and Hugging Face Transformers to improve information retrieval and model explainability; Developed LLM-based indexing and query expansion frameworks for document analysis and enterprise search; Automated model retraining pipelines with MLflow and integrated SHAP/Clarify for explainability and auditing; Led cross-functional initiatives to improve provenance evaluation; Mentored junior data scientists on model interpretability and ML Ops best practices.
Data Analyst / Research Engineer at DXC Technology
March 1, 2014 - March 1, 2014Developed early deep learning and statistical learning algorithms for structured and unstructured datasets; Implemented graph-based learning algorithms and feature extraction pipelines using Python and Scikit-learn; Performed exploratory data analysis with Pandas, NumPy, and Matplotlib to identify patterns and correlations; Designed data cleaning and preprocessing frameworks for multi-source enterprise data integration; Built predictive analytics for business intelligence and forecasting.
Data Scientist at HCL Technologies
June 1, 2017 - June 1, 2017Built predictive models and deep learning systems for enterprise analytics using Scikit-learn, TensorFlow, and Keras; Developed NLP pipelines including classification and entity recognition with SQL, Pandas, and Airflow; Implemented ETL pipelines for large-scale data ingestion from relational and unstructured sources; Built time-series forecasting for product performance and demand using ARIMA/LSTM; Created reproducible workflows and dashboards to communicate insights; Optimized PostgreSQL and MongoDB schemas with indexing for performance; Executed graph analytics workflows for product association and inventory optimization; Deployed cloud orchestration with Kubernetes and Terraform for reproducible deployments; Coordinated feature release cycles and ML experiments with product teams.
Education
Bachelor of Science - BS in Information Technology at The University of Texas-Pan American
January 11, 2030 - May 1, 2012Qualifications
AWS Certified Machine Learning - Specialty
January 11, 2030 - October 28, 2025Microsoft Certified: Azure AI Engineer Associate
January 11, 2030 - October 28, 2025Google Professional Machine Learning Engineer
January 11, 2030 - October 28, 2025Industry Experience
Software & Internet, Financial Services, Professional Services, Media & Entertainment, Retail
Experience Level
Expert
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