Nisar Hundewale, Ph.D. Email & Phone Number

Alexandria, Virginia, Us

Chief Gen AI Architect, Walmart (Connect, eCommerce) - San Bruno, CA, USA• Developed & Implemented supply chain optimization strategies, increasing on-time delivery rates by 10%.• Led R&D of e-commerce pricing initiatives, resulting in a 15% increase in new business customer lifetime value.• Developed Gen AI-based applications to enhance marketing and sales campaigns, leveraging for strategic growth.Chief Gen AI Officer, United Health Group (Optum) - Chicago, IL, USA• Automated Training Framework for LLMs, optimizing efficiency by 25% and reducing time by 30%, enhancing AI capabilities.• Implemented LLMs for SQL Code Generation, improving query accuracy by 15% and reducing preprocessing time by 40%, achieving 30% faster query generation.• Developed a Chatbot for Corporate Data Querying, streamlining processes, reducing manual effort by 50%, and enhancing accuracy by 25.Chief Gen AI Officer, Cigna - Bloomfield, CT, USA• Implemented LLMs, reducing document review time for health insurance filings by 30% to enhance operational efficiency.• Developed a question-answering application for underwriting policies, increasing productivity by 25%.• Optimize processes and maximize productivity by Generative AI, demonstrating strategic vision.Chief AI Officer, Merck - Raritan, NJ, USA• Designed and deployed end-to-end architecture and GAN solutions, reducing costs by 10% and enhancing operational efficiency.• Automated data pipelines using Azure Data Factory, reducing processing time by 50%.• Productized Gen AI-based applications for healthcare and pharmaceutical research, delivering innovative solutions for industry challenges.Chief AI Officer, Bayer - St. Louis, MO, USA• Developed AI strategies enhancing agricultural processes and remote sensing accuracy by 15%.• Implemented machine learning models for large-scale dataset analysis and trend prediction.• Collaborated with cross-functional teams to deliver AI solutions for healthcare and agriculture.

San Diego, California, Us

Strategic AI based real-time big data Recommendation product development for Sales.

San Antonio, Tx, Us

Leading and executing research, development and productizing AI, Data Science, IoT, Blockchain, Big Data based products and services. • Research, architect, hands-on development, productizing and deployment of novel products and services around Information extraction from voice/audio, text, image and video data to detect security issues in real-time using AI, Deep Learning, Machine Learning, Natural Language Processing, and Image Processing, Digital Signal Processing techniques, Graph Analytics, Blockchain, ChatBot, and Cloud technologies.• Leadership: Lead teams in US and offshore, Present insights to C-level executives, Customer facing.• Technical Proposals writing for SBIR, NFS projects, Technical Sales Peaching for Industry Leaders.

Mumbai, Maharashtra, In

On Assignment at World's Largest Retailer, Marketing and Drug ManufacturersDrug Manufacturing Client:• Drug Manufacturing Process Failure – Developed real-time predictive model for process failure within seconds.• Manufacturing Process Optimization – Developed optimization models maximizing the yield and minimizing the failures.• Leadership – Lead using agile methodology the team of Data Engineers, Data Scientists, Interface Developers, C-Level executives/client facing interaction. Drug Manufacturing Client:• Clinical Trials – Developed models predicting conditions the patient can be treated for. Machine Learning techniques to discover unexpected combinations of drugs that work well together, or adverse reactions. • Clinical Trials Compliance – Developed models for Insights in the compliance audits documents• Drug Discovery and Interactions – Developed machine learning techniques using Electronic health records to identify and test all possible hypotheses, Identifying causation.• Document Classification – Developed NLP and Machine Learning Predictive models to classify documents.Retail Client:• Supply Chain Analytics to analyze inventory adjustments for errors, build demand predictive model and optimize inventory; real-time insight of current and predicted inventory and profit at SKU levels per store and distribution center; optimize replenishment schedule to maintain stock levels and ROI. • Conceived, led, developed “Pricing Analytics” especially Markdown prices and promotions using advanced predictive analytics and optimization using machine learning techniques to predict price over time;• Mined social media and news media data to understand the opinions • Conceptualized and led implementation of “Customer Insights Platform” to enable personalize customer experience and shoppers’ purchase behavior.Marketing Client:• Machine Vision techniques to identify the images.

Arlington, Virginia, Us

World' Largest Educational Research InstituteSemantic Text Analytics, Natural Language Processing, Automated Essay Scoring, Score Predictive Modeling, Student Response Analytics.• Developed complex MapReduce and in-memory architectures through complete SDLC and big data ecosystem for structured and unstructured data• Improved Scoring Performance (Scoring Time by 40.59%) using Solr and Lucene• Improved Scoring Accuracy by 10%, Grammatical Error checking by 83% • Developed concepts identification and concepts matching technique• Build statistical, deep learning and machine learning prediction models to predict scores according the scoring rubrics using Hadoop, Spark, R, and Java.• Improved tagging and chunking of grammatically imperfect texts using NLP and UIMA• ETL, analyzed, visualized and modeled unstructured data using pipeline in Python & R.• Designed, implemented near-real time performance algorithms, data structure.

St Helier, Je

Patent Text Analytics, NLP, Search Engine Modeling, Concept Modeling, Matching and Mapping. Predictive Modeling, Data Science.

Taif, Western Province, Sa

• Designed statistical and machine learning algorithms to identify significant variations in personal genome compared with the benchmark human genome using R, C++, Java.• Build Prediction models for possible disease susceptibilities and risk factors.• Build data mining and recommendation system for lifestyle changes, family implications, and demographics using millions of patient records.

Adelphi, Maryland, Us

Graduate Research and Course works in Computer Science, Software Engineering, Data Analytics, Data Science, etc.

Bethesda, Md, Us

Developed and implemented a real-time system to retrieve Patients' Drug History from National Drug repository for the Emmergency Room of Suburban Hospital in Bethesda, MD, USA.The patients' health profile alongwith their drug history is studied for medical findings.Significantly, contributed to the development of a protoype for Patient Health Records Network to be available across the globe.Developed web based statistical research tool for Physiologists and Medical Researchers to analyse patient records across the population for epidemic patterns or so as well as specific individual patient to forcast disease susceptibilty that helps in medical advice.

Atlanta, Ga, Us

• Developed algorithms for optimal design of DNA microarray chip using CPLEX & C++.• Developed combinatorial optimization tools for SNP based disease susceptibility using CPLEX, (SVM).• Taught Graduate and undergraduate courses; advised research projects.

Ph.D., Computer Science

M.S., Computer Science