Available to hire
I’m an AI Architect and data scientist with over a decade of experience spanning multiple industries. I design and deploy scalable AI ecosystems, including retrieval-based systems that combine state-of-the-art LLMs with robust data retrieval to power enterprise decision making. I thrive on turning complex business problems into pragmatic AI solutions that deliver measurable value.
I’ve led client-facing strategy, built production-grade RAG pipelines, and implemented ServiceNow-based agent ecosystems that cut onboarding times and automate workflows. I enjoy collaborating across cross-functional teams to architect enterprise-grade AI solutions, optimize performance, and drive adoption and ROI for customers.
Skills
Experience Level
Expert
Expert
Expert
Expert
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Expert
Expert
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Intermediate
Intermediate
Beginner
Language
English
Fluent
Work Experience
Principal Data Scientist, Lead AI Engineer at Cognizant Technologies
April 30, 2025 - July 19, 2025Consultant for Nationwide Retail company focusing on building AI/ML models for recommendations, auditing, chargebacks, promo abuse, customer evaluation, and data governance. Developed POCs on document question-answering/matching for long audit documents using LangChain, Longformer, Milvus, AutoGPT, FAISS, and Cohere APIs. Created a digital coach for audits by providing semantic search using Cohere, Azure, OpenAI, and Azure Cognitive Search. Developed risk assessment tools integrating industry factors with Azure Open AI and Falcon 7B models. Managed RAG pipelines with Hugging Face transformers, FAISS, and LangChain. Fine-tuned LLMs including GPT-3.5 Turbo, GPT-4, and Falcon 7B. Built CI/CD and MLOps pipelines for model deployment and management. Leveraged GANs to detect chargeback and promo abuse patterns and optimized classification models. Analyzed sales data using ML and LLM techniques for targeted insights and recommendations.
Data Scientist at M&T Bank
June 1, 2021 - July 19, 2025Architected modern AI solutions involving AI chatbots, visual analytics, and deep learning. Built ML models for data analysis using Python libraries. Led a team of five to design real-time fraud detection systems for chargebacks, reducing risk effectively. Solved imbalanced financial datasets for model training and enhanced risk detection. Conducted data cleaning and sentiment analysis impacting brand perception. Implemented advanced machine learning techniques including text mining, A/B testing, and sequence analytics to derive business insights. Collaborated with stakeholders to develop scalable ML integration pipelines and designed experimental processes ensuring valid inference. Utilized tools such as R, Python, SAS, Tableau, and ELK stack for developing and visualizing ML models.
Data Scientist at Smart Save Supermarket Ltd
October 1, 2018 - July 19, 2025Utilized deep learning algorithms and visual analytics to design AI solutions tackling business challenges. Forecasted average weekly demand and computed stock parameters using historical data. Performed data extraction and analysis with SQL to understand device flows and business metrics. Developed machine learning models using SVM, Logistic Regression, and Random Forest to predict faulty devices. Created Excel and Tableau dashboards and prepared ad-hoc reports for management. Conducted financial data analysis using QlikView and Tableau to identify market performance and sales drivers.
Data Scientist – Contract at Intertek
September 1, 2016 - July 19, 2025Worked with a Fortune 20 company over half a year to develop and deploy statistical programming and analytic solutions leveraging Splunk, Spark, R, Python, and AI methods. Implemented advanced ML solutions involving text mining, market basket analysis, and sequence analytics to deliver valuable business insights. Collaborated with stakeholders to identify requirements, clean data, and develop robust analytical models. Enhanced forecast analytics using Python libraries such as Numpy, Matplotlib, and Pandas.
Data Analyst at Amherst Democratic Committee Internship
August 31, 2014 - July 19, 2025Analyzed voting data, identified patterns, and recommended awareness strategies as part of the campaign team.
Principal Data Scientist / Lead AI Engineer at Cognizant Technologies
April 30, 2025 - August 5, 2025Consulted for a nationwide retail company developing AI/ML models for recommendations, auditing, chargebacks, promo abuse, customer evaluation, and data governance. Created Proof of Concepts for document Q&A and risk assessments using advanced AI tools such as LangChain, OpenAI GPT models, FAISS, and Cohere APIs. Designed and implemented RAG pipelines with fine-tuned LLM integration and vector databases like Azure Cognitive Search and FAISS. Led the deployment of generative AI techniques and MLOps pipelines for model deployment and automation. Applied generative adversarial networks for fraud detection and optimized classification and deep learning models for accuracy and robustness.
Data Scientist at M&T Bank, Buffalo, New York
June 1, 2021 - August 5, 2025Architected AI solutions using chatbots, visual agents, and deep learning to build AI integration and NLP pipelines. Led a team to design a real-time fraud detection system for chargebacks. Used machine learning for imbalanced financial data and improved risk detection models. Conducted sentiment analysis to inform brand perception and led sophisticated ML solutions using text mining and market basket analysis. Collaborated with cross-functional teams to define requirements and develop scalable ML pipelines, ensuring valid experimental design and optimal model deployment using R, Python, SAS, and visualization tools.
Data Scientist at Smart Save Supermarket Ltd, San Jose, California
October 1, 2018 - August 5, 2025Applied deep learning, visual analytics, and machine learning to develop AI solutions addressing business challenges. Forecasted demand and stock using time series data. Extracted device flow data with SQL and predicted faulty devices using classification algorithms. Created interactive dashboards for stakeholders and performed financial data analysis using business intelligence tools. Built machine learning models for sales and product analysis, improving operational efficiency through data-driven insights.
Data Scientist – Contract at Intertek, Detroit, Michigan
September 1, 2016 - August 5, 2025Collaborated with a Fortune 20 company developing statistical and predictive analytics solutions using Python, R, Bayesian networks, AI, and clustering. Implemented advanced machine learning solutions with text mining and sequence analytics to generate actionable insights. Improved forecast analytics by leveraging essential Python libraries and collaborated with stakeholders to deliver robust analytics models supporting better business decisions.
Data Analyst Internship at Amherst Democratic Committee, Buffalo, New York
August 31, 2014 - August 5, 2025Part of the campaign team analyzing voting data and patterns to recommend awareness strategies.
Principal Data Scientist / Lead AI Engineer at Cognizant Technologies
July 1, 2025 - August 26, 2025Led AI/ML consulting for a nationwide retail company, developing models for recommendations, auditing, chargebacks, promo abuse detection, customer evaluation, and data governance. Designed and deployed Retrieval-Augmented Generation systems using OpenAI GPT-4 and Hugging Face models, implemented semantic search digital audit coaching tools, and built risk assessment proofs of concept using large language models and vector databases. Established CI/CD and MLOps pipelines for model deployment and automation. Applied generative adversarial networks to detect fraud patterns and used LLMs for customer feedback analysis and personalized recommendations. Worked extensively on cloud platforms including Azure, AWS, and Databricks to engineer scalable AI solutions that improved operational efficiencies and client outcomes.
Data Scientist at M&T Bank, Buffalo, New York
June 1, 2021 - August 26, 2025Architected AI solutions including chatbots and visual analytics for financial data insights. Led a team that built a real-time fraud detection system to reduce risk by identifying chargebacks. Conducted data preprocessing, sentiment analysis, and A/B testing to improve marketing and risk strategies. Collaborated with stakeholders to design scalable ML integration pipelines. Utilized Python, R, SAS, and visualization tools to deliver actionable insights to business teams. Developed experiments ensuring valid causal inference and optimized ML models for financial applications.
Data Scientist at Smart Save Supermarket Ltd, San Jose, California
October 1, 2018 - August 26, 2025Designed AI-driven predictive models using deep learning and classical machine learning algorithms to forecast demand and predict faulty devices. Analyzed sales trends to identify decline causes and presented findings via interactive dashboards to support executive decisions. Extracted and processed device flow data with SQL and created business rules for operational improvement. Built models for product recommendations and device fault prediction leveraging Python and R tools. Delivered regular KPI visualization reports and supported data-driven strategies in retail operations.
Data Scientist (Contract) at Intertek, Detroit, Michigan
September 1, 2016 - August 26, 2025Worked on analytics projects for a Fortune 20 client using statistical programming, machine learning, and AI methods. Implemented advanced text mining, market basket analysis, and sequence analytics to uncover insights. Enhanced forecasting tasks using Python and data science libraries. Collaborated in data cleaning, pre-processing and analytics model development to drive better decision-making. Utilized technologies such as Splunk, Spark, R, and AWS to build operational analytics solutions.
Data Analyst Intern at Amherst Democratic Committee, Buffalo, New York
August 1, 2014 - August 26, 2025Analyzed voting data and patterns to recommend campaign awareness strategies. Supported political campaigns with data-driven insights during the internship period.
Principal AI Architect at Cognizant Technologies
June 1, 2021 - September 1, 2025Architected a ServiceNow-based AI agent ecosystem and production-grade RAG system that automated document processing, reducing onboarding and workflow cycle times by 40%+, delivering enterprise-scale ROI through faster decisions and consistent AI-driven operations. Designed modular AI agent ecosystems with memory and orchestration layers integrated into ServiceNow workflows; led client strategy sessions and produced AI proofs of concept that secured buy-in for production partnerships. Implemented RAG pipelines using LangChain, Azure OpenAI, FAISS/Chroma, and evaluated vector stores for latency and scalability.
AI Architect / Sr Data Scientist at M&T Bank
October 1, 2018 - June 1, 2021Led modern AI solutions across fraud detection, risk analytics, and enterprise workflows. Built a scalable AI agent framework, optimized context and memory usage, and delivered cross-functional automation to accelerate decision-making; collaborated with business units to showcase ROI through AI proofs of concept and production deployments.
Data Scientist at Smart Save Supermarket Ltd
September 1, 2016 - October 1, 2018Forecasted demand and calculated stock policies across network nodes, built predictive models to optimize inventory, and created dashboards to communicate insights to Sales and Marketing. Identified drivers of sales decline and supported data-driven decisions.
Data Scientist – Contract at Intertek
September 1, 2014 - September 1, 2016Developed analytics solutions for a Fortune 20 client using Splunk, Spark, R, Python, Bayesian methods, ML, prescriptive optimization, and clustering. Collaborated with stakeholders to define data requirements and production-ready analytics.
Data Analyst at Amherst Democratic Committee
June 1, 2013 - August 1, 2014Analyzed voting data, identified patterns, and recommended awareness strategy; built dashboards for stakeholders.
Education
Master of Science at University At Buffalo, The State University of New York
January 1, 2017 - December 31, 2017Bachelor of Science at University At Buffalo, The State University of New York
January 1, 2015 - December 31, 2015Master of Science, Data Science at University At Buffalo, The State University of New York
January 1, 2016 - December 31, 2017Bachelor of Science, Economics at University At Buffalo, The State University of New York
January 1, 2011 - December 31, 2015Master of Science, Data Science at University At Buffalo, The State University of New York
January 1, 2015 - January 1, 2017Bachelor of Science, Economics at University At Buffalo, The State University of New York
January 1, 2011 - January 1, 2015Master of Science at University at Buffalo, The State University of New York
January 11, 2030 - January 1, 2017Bachelor of Science at University at Buffalo, The State University of New York
January 11, 2030 - January 1, 2015Qualifications
Mastering Git with BitBucket & Github
January 11, 2030 - July 19, 2025Kubeflow Fundamentals: How to build ML/AI Pipelines
January 11, 2030 - July 19, 2025Natural Language Processing: NLP with Transformers in Python
January 11, 2030 - July 19, 2025Speech Recognition A-Z with Hands-on
January 11, 2030 - July 19, 2025Large Language Models (LLMs)
January 11, 2030 - July 19, 2025Mastering Git with BitBucket & Github
January 11, 2030 - August 5, 2025Kubeflow Fundamentals: How to build ML/AI Pipelines
January 11, 2030 - August 5, 2025Natural Language Processing: NLP with Transformers in Python
January 11, 2030 - August 5, 2025Speech Recognition A-Z with Hands-on
January 11, 2030 - August 5, 2025Large Language Models (LLMs), National University of San Diego, CA, USA
January 11, 2030 - August 5, 2025Mastering Git with BitBucket & Github
January 11, 2030 - August 26, 2025Kubeflow Fundamentals: How to build ML/AI Pipelines
January 11, 2030 - August 26, 2025Natural Language Processing: NLP with Transformers in Python
January 11, 2030 - August 26, 2025Speech Recognition A-Z with Hands-on
January 11, 2030 - August 26, 2025Large Language Models (LLMs) Certification
January 11, 2030 - August 26, 2025Mastering Git with BitBucket & Github
January 11, 2030 - December 7, 2025Kubeflow Fundamentals: How to build ML/AI Pipelines
January 11, 2030 - December 7, 2025Natural Language Processing: NLP with Transformers in Python
January 11, 2030 - December 7, 2025Large Language Models (LLMs)
January 11, 2030 - December 7, 2025Industry Experience
Retail, Financial Services, Professional Services, Software & Internet, Media & Entertainment
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
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Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Beginner
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