Nisar Hundewale, Ph.D. Email and Phone Number
Nisar Hundewale, Ph.D. work email
- Valid
- Valid
Nisar Hundewale, Ph.D. personal email
- Valid
Nisar Hundewale, Ph.D. phone numbers
As a seasoned AI/ML professional with over 25 years of industry experience, I am deeply committed to fostering innovation, crafting scalable strategies, and guiding multidisciplinary teams toward tangible outcomes. My journey of success spans various sectors. My distinctive combination of foresight, technical prowess, and adept leadership ensures a transformative approach to every endeavor. Entrepreneurial Experience: ● Co-Founder, CEO: Unique Computing, Gennet AI, Chicago, IL, USA ● Co-Founder, CDO: Refocus AI, San Diego, CA, USA ● Co-Founder, CIO, Pai Analytics, San Francisco, CA, USA ● CAIO, ReValue AI, Watertown CT, USA Professional Experience: ● Chief GenAI Officer | United Health Group (Optum): I led the development of the Automated Training Framework for LLMs, which optimized training efficiency by 25%. ● Chief GenAI Architect | Walmart (Connect, eCommerce): Developed supply chain optimization strategies that increased on-time delivery rates by 10%. ● Chief AI Officer | Cigna: Demonstrated strategic leadership in driving operational efficiency by utilizing GPT-4 LLMs, reducing time by 30%. ● Chief AI Officer | Merck: Designed and deployed end-to-end architecture and GAN solutions, improving efficiency and reducing costs by 10%. ● Chief Data Scientist, Social Security Administration: Implemented NLP deep text analytics, improving accuracy in disability classification and allowance decisions.Skills: ● Generative AI Expert: Proficient in leveraging cutting-edge technologies, including Large Language Models (LLM), LangChain, RAG, and Vector Databases, to architect scalable solutions and drive innovation. ● End-to-end AI/ML Solutions: We specialize in designing and implementing end-to-end AI/ML solutions focusing on Natural Language Understanding, Deep Learning, Explainable AI, and Blockchain technologies. ● Track Record: Proven track record of visionary leadership, optimizing business processes, reducing costs, and spearheading projects that deliver impactful results, optimize operational efficiency, and drive business growth. Let's Connect:Partner with me to unlock the power of AI/ML technologies and drive innovation in your organization. Reach out via phone at +1 703-981-4282 or email at nisar@unique.computer
Unique Computing Llc
View-
Chief Executive Officer, Co-FounderUnique Computing Llc Sep 2015 - PresentAlexandria, Virginia, UsChief 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.
-
Chief Data Officer, Co-FounderRefocus Ai Apr 2021 - PresentSan Diego, California, UsStrategic AI based real-time big data Recommendation product development for Sales. -
Executive Director Data ScienceSecurelogix Jan 2017 - Jun 2021San Antonio, Tx, UsLeading 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. -
Chief Data ScientistTata Consultancy Services Jul 2014 - Dec 2016Mumbai, Maharashtra, InOn 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. -
Lead Data ScientistAmerican Institutes For Research Mar 2013 - Jun 2014Arlington, Virginia, UsWorld' 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. -
Senior Data Scientist (Ai Sme)Cpa Global May 2012 - Feb 2013St Helier, JePatent Text Analytics, NLP, Search Engine Modeling, Concept Modeling, Matching and Mapping. Predictive Modeling, Data Science. -
Associate Dean, ProfessorTaif University Apr 2009 - Mar 2012Taif, 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. -
Adjunct ProfessorUniversity Of Maryland University College Aug 2007 - Aug 2011Adelphi, Maryland, UsGraduate Research and Course works in Computer Science, Software Engineering, Data Analytics, Data Science, etc. -
Post Doctoral Research FellowNational Institutes Of Health 2008 - 2009Bethesda, Md, UsDeveloped 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. -
Lecturer/Doctoral ResearcherGeorgia State University 2001 - 2007Atlanta, 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.
Nisar Hundewale, Ph.D. Skills
Nisar Hundewale, Ph.D. Education Details
-
Georgia State UniversityComputer Science -
University Of WollongongComputer Science
Frequently Asked Questions about Nisar Hundewale, Ph.D.
What company does Nisar Hundewale, Ph.D. work for?
Nisar Hundewale, Ph.D. works for Unique Computing Llc
What is Nisar Hundewale, Ph.D.'s role at the current company?
Nisar Hundewale, Ph.D.'s current role is Ph.D. AI | US Patent | Entrepreneur | #AI/ML #GenerativeAI #blockchain 25+ Years of AI Excellence: Building Products and Empowering Industries with Expert-Led Innovation, Shaping Tomorrow's World!.
What is Nisar Hundewale, Ph.D.'s email address?
Nisar Hundewale, Ph.D.'s email address is ni****@****gix.com
What is Nisar Hundewale, Ph.D.'s direct phone number?
Nisar Hundewale, Ph.D.'s direct phone number is +121040*****
What schools did Nisar Hundewale, Ph.D. attend?
Nisar Hundewale, Ph.D. attended Georgia State University, University Of Wollongong.
What skills is Nisar Hundewale, Ph.D. known for?
Nisar Hundewale, Ph.D. has skills like Research, Machine Learning, Computer Science, Algorithms, Higher Education, Statistics, Analysis, Data Analysis, Leadership, Data Mining, Software Development, Databases.
Free Chrome Extension
Find emails, phones & company data instantly
Aero Online
Your AI prospecting assistant
Select data to include:
0 records × $0.02 per record
Download 750 million emails and 100 million phone numbers
Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.
Start your free trial