• Lead research and development of new and innovative techniques to solve Artificial intelligence/Machine learning problems, supporting strategic business goals within the domain of Deep Learning, Generative AI, Natural language processing, Responsible AI, and Model Optimization.• Manage a team of AI engineers and scientists responsible for establishing and implementing strategies to support Vanguard’s AI vision, developing proprietary AI solutions, and identifying themes for AI Research and development.• Engage with Vanguard leadership to understand and probe business processes to develop hypotheses and own the AI research agenda; bring structure to requests and translate them into an ML approach.• Build, leverage internal assets, partner with external solution providers and vendor solutions to mature the use of advanced AI techniques and technologies and drive scalable business outcomes.• Identify opportunities through the development of data science, AI capabilities for business growth, personalized client experience, new product and services development, and business operational efficiency.• Lead and perform deep-depth diagnostic, predictive and normative analysis to support data-based business decision-making; create alternative model approaches to assess the complex design of the AI model and advance future capabilities.• Partner on large scale, complex analytics program in partnership with business leaders & industry experts; apply significant quality control and risk assessment of the model, methodologies, and processes for major data science projects.• Build and manage external partnerships with leading universities, seeking new and innovative research as well as crafting practices to leverage talent into pipeline.• Hire, evaluate and supervise crew; provide mentorship, and training as necessary to develop crew; set performance standards and review performance in accordance with all applicable Human Resources policies and procedures.

• Research on new and innovative techniques to solve Artificial intelligence/Machine learning problems, supporting strategic business goals within the domain of Speech and Natural language processing.• Lead speech and NLP based AI research and develop proprietary speech products at Vanguard, which includes functionalities such as automatic speech recognition, speech analysis, sentiment analysis, risk tolerance, financial data identification and anonymization.• Lead the research and development of Vanguard proprietary automatic speech recognition service, which achieved a Word error rate of 6.3% on Vanguard based phone calls significantly higher than vendor solution with Word error rate of 30.1%. The effort resulted in saving millions of dollars in transcribing cost to Vanguard.• Actively research and experiment on new ideas, bringing innovation into Vanguard. Drive research in the field of Deep Learning, Speech Recognition, Speaker recognition, Natural language processing, and Optimization methods using advanced models.• Provide insight into client needs and behavior, supporting marketing and client servicing decisions. • Serves as the expert on cross-functional teams for large strategic initiatives. Educate and coach business stakeholders and leaders to adopt innovation in AI research.• Work with a team of data scientist and Machine learning engineers to carve new research that supports ongoing and future analytical capabilities on complex and high-dimensional unstructured data.

• Actively research and tests new ideas, bringing innovation into Vanguard. Drive research in the field of Deep Learning, Speech Recognition, Speaker recognition, Natural language processing, and Optimization methods using advanced models (for example – CNN, RNN, LSTM, Regression (Generalized linear models), Decision Trees (CART/CHAID), SVM, Random Forests, GBM, Time-series analysis, Linear/Non-Linear/Integer programming, etc.)• Provide insight into client needs and behavior, supporting marketing and client servicing decisions. Serves as the expert on cross-functional teams for large strategic initiatives. Educates and coaches data scientist and business leaders to adopt innovation in AI research.• Work with a team of data scientist and Machine learning engineers to carve new research that supports ongoing and future analytical capabilities on complex and high-dimensional unstructured datasets.• Work on complex projects, including (but not limited to) formulating the business and analytical problem, extracting, cleansing, and manipulating large, and diverse data sets, building descriptive, predictive and prescriptive solutions and deploying these solutions in the cloud and/or on-premise systems.

• As a Research engineer, assist and contribute to the exploratory study for the creation of an advanced neural network based cognitive framework that will power the research and move the team closer to the goal of creating world-class virtual humans.• Assist Dr. Zielke in the creation of enhanced learning theory based out of the Connectivism theory of learning and Cognitive science utilizing Deep Neural Network and Mixed Reality (Work in progress).• Research on cognitive factor governing the Emotive Virtual Patient project, to develop efficient cognitive based evolutionary response and behaviorism that are in line with psychological factor while dealing with a human subject. • Led a team of 5 programmers to research and develop highly saleable distributed systems of Neural Networks for Natural language processing and Human Action Recognition systems, utilizing compiling data on body language, facial cues, and other physiological information in VR (Oculus, HTC Vive) /AR (Microsoft HoloLens) platforms. All neural networks are developed in-house from scratch.• Research, develop and compare deep learning based Machine comprehension system for emotive natural language processing. • Analyze, design, and develop real-time VR and AR software for creating advanced prototypes and user experiences. • Bridging the gap between technical and research requirement by collaborating with other teams including 3D modelers, animators, research designers and other programmers.• Guided the undergraduate researchers with the development, coding, debugging, and maintenance of cognitive-based research architecture, design and execution of experiments, and technological resources.• Programming Language used: Python, C#, C++, and R.

• Work on research projects involving Cognitive/Computational modeling and machine learning techniques such as Deep learning, Model fit estimation, Neural network, etc. under the supervision of Dr. Richard Golden.• Compiled noteworthy results for basic machine learning model for a new model fit estimation method based on Generalized AIC. Currently in the process of generalizing the estimation process to more multifaceted neural network model based on deep learning, to ascertain the generalization of the proposed method.

• Work in cross-functional project teams that include research, data science and ML development within an Agile framework.• Analysis, and design for new project releases (which includes Apple Pay & Tokenization, EMV Release & enhancement, MiFID) and research analytic frameworks using machine learning techniques.• Designed and developed a transaction research analytic Framework for EFT- Switching Processor interface and card authorization.• Use statistical modeling and data analysis techniques to evaluate new features for transaction research analysis, behavioral data analysis, and fraud detection.• Recommend functional approaches to address business requirements of payment solution through workflow diagrams, data models, the architectural process diagram for projects - ApplePay, Tokenization, EMV.• Develop SQL scripts to extract data from the transaction database to create control groups for statistical analysis and modeling of the transactions for ROI patterns after new product deployment.• Conduct EDA in tandem with cross-functional teams from Visa, Mastercard and relevant entities to implement various payment solution products; maintaining PCI compliance standards.• Develop, test, and deploy algorithms for predicting and gaining insight on account holder and transaction patterns (Classification, Time series data analysis, and A/B Testing).• Participate in product research & design meeting to review and provide input on research requirements, product designs, and potential problems. • Collaborate with the other stakeholders, devise the research objective and development strategies in line with the scope and mathematical feasibility of AI Systems.• Led/Supervised an Agile team of 15 Developer, Analyst, Tester, and Trainees.• Ranked in the top 3% of employee performance for 3 years running, awarded with back to back promotions.• Training and Mentoring resources in the team.• Programming Language: Python, C++, TAL, and TACL.

• Work in cross-functional project teams that include research, data science and ML development within an Agile framework.• Design and development for new project releases, research/automated frameworks, and tools using machine learning models, Python, C++, TAL, TACL, REXX, Bluezone Host-based script, VB script, SQL-MP to ensure consistency & increase the efficiency. • Use statistical modeling and data analysis techniques to evaluate new features for transaction research analysis and fraud detection.• Develop SQL scripts to extract data from the transaction database to create control groups for statistical analysis and modeling of the transactions for ROI patterns after new product deployment.• Coordinating system Integration of machine learning based models with client teams like MasterCard, VISA, and Star network.• Develop and configure test automation networks and execute stability and performance tests. • Coordinate with program and development teams in product development life-cycle to confirm end user product and quality requirements. • Top 5%, in the list of development task, completed successfully with least number of defects(2 defects during the term). • Part of the Client team which got Client excellence award by FirstData corp 2015.• Programming Language used: Python, C++, TAL, and TACL.

• Develop and test for new project releases, automated test frameworks, and tools using machine learning models.• Use machine learning and statistical modeling techniques to develop and evaluate new feature to improve performance, quality, and accuracy.• Perform system Integration of machine learning based models with client teams like MasterCard, VISA, and Star network• Providing UAT Support by identifying test data for UAT and ensuring that the Pre-UAT activity is performed accurately and efficiently. • Record test results and report and verify software bug fixes to accept automation criteria.• Programming Language used: Python, C++, and TACL.• Awarded Accenture-Firstdata catalyst award -2014 and Financial services Zenith-propel award 2013.