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| resume_data = f""" | |
| name: Raushan Raj, | |
| contact: | |
| phone: (607) 232-4965, | |
| email: raushanraj0786@gmail.com, | |
| linkedin: linkedin.com/in/dr-raushan-raj-phd-a45277102/ | |
| , | |
| summary: AI Scientist with a Ph.D. in Computer Science and over 2 years of professional experience in developing cutting-edge | |
| AI/ML models to solve complex business problems. Proficient in statistical machine learning, deep learning, and | |
| computer vision, with a strong track record of research publications. Skilled in communicating technical concepts to | |
| non-technical audiences and collaborating in cross-functional teams. Experienced in the end-to-end process of AI | |
| solution development, from research and prototyping to deployment and productization, | |
| experience: | |
| title: Software Dev Engineer, | |
| company: Yahoo Inc., | |
| duration: 06/2022 – 06/2024, | |
| description: Researched and implemented advanced AI/ML algorithms, enhancing the accuracy and efficiency of predictive models used | |
| for fraud detection and user behavior analysis, | |
| Developed innovative AI models using TensorFlow 2 and XGBoost, leading to significant improvements in real-time data | |
| processing and decision-making capabilities, | |
| Collaborated with cross-functional teams to define model requirements, ensuring alignment with business objectives and user | |
| needs., | |
| Conducted experiments and validated AI/ML models, documenting findings in technical reports and contributing to the | |
| company’s AI knowledge base., | |
| Optimized data workflows and model performance, ensuring compliance with data privacy and security regulations. | |
| , | |
| title: Research and Teaching Assistant, | |
| company: Binghamton University, | |
| duration: 01/2019 – 05/2022, | |
| description: Authored five peer-reviewed research papers on AI and machine learning, focusing on areas such as Gaussian Conditional | |
| Random Fields and deep learning., | |
| Developed NLP and computer vision applications, leveraging Transformer-based models to enhance accuracy in tasks like | |
| text classification and image recognition., | |
| Led lab sessions and taught courses, effectively communicating complex AI concepts to students and fostering a collaborative | |
| learning environment | |
| title: Software Engineer Intern, | |
| company: Sam Asher Computing Service INC., | |
| duration: 05/2019 – 08/2019, | |
| description: Implemented AI-driven solutions for data analysis and report generation, improving the accuracy and efficiency of internal | |
| processes., | |
| Worked with clients to understand technical requirements, translating business needs into actionable AI solutions. | |
| title: Software Engineer, | |
| company: Info Edge, | |
| duration: 10/2017 – 08/2018, | |
| description: Developed and optimized data models for various business applications, improving data accuracy and system performance., | |
| Built AI-powered features for web applications, enhancing user experience and engagement., | |
| Implemented key features and optimized database queries, resulting in smoother operations and improved data accuracy. | |
| title: Software Engineer, | |
| company: Happily Unmarried Pvt Ltd., | |
| duration: 06/2016 – 02/2017, | |
| description: Led the development of 10 APIs, integrating notifications and custom code rules to enhance website operations., | |
| Designed and deployed dynamic offer and feature systems, tailored to market demand, improving customer engagement and | |
| sales | |
| publications: | |
| paper:Analyzing Aggregate User Behavior on a Large Multi-platform Content Distribution Service, | |
| conference:EAI ADHOCNETS, | |
| date:12/2021, | |
| description: Explored patterns and trends in user behavior, informing strategic decisions for content distribution. | |
| paper:SWIFT: A Non-Emergency Response Prediction System using Gaussian Conditional Random Fields, | |
| conference: Elsevier Pervasive and Mobile Computing, | |
| date: 08/2021, | |
| description: Demonstrated superior predictive performance using advanced machine learning models. | |
| paper: Wireless Channel Quality Prediction using Sparse Gaussian Conditional Random Fields, | |
| conference: IEEE CCNC, | |
| date: 01/2021, | |
| description: Demonstrated superior predictive performance using advanced machine learning models. | |
| paper: Ensemble Regression Models for Short-term Prediction of Confirmed COVID-19 Cases, | |
| conference: Harvard CRCS Workshop on AI for Social Good, | |
| date: 07/2020, | |
| description: Developed an ensemble model for accurate COVID-19 case prediction across multiple countries. | |
| paper: SWaP: Probabilistic Graphical and Deep Learning Models for Water Consumption Prediction, | |
| conference: ACM Buildsys, | |
| date: 10/2019, | |
| description : Achieved significant improvements in water consumption forecasting, aiding in efficient resource management. | |
| skills: Python, Java, SQL, PHP, TensorFlow, PyTorch, XGBoost, Git, Visual Studio, Eclipse, IntelliJ, | |
| Hive, SQL, BigQuery, Spark, Deep Learning, NLP, | |
| Education: | |
| school: Binghamton University, SUNY, | |
| degree: Ph.D. and Master, | |
| major: computer science, | |
| duration: 08/2018 – 05/2022 | |
| school: Indian Institute of Technology, Ropar, | |
| degree: Bachelor, | |
| major: computer science, | |
| duration: 08/2012 – 05/2026 | |
| additional information: | |
| title:Strong Analytical and Problem-Solving Skills, | |
| description: Proven ability to tackle complex challenges and deliver innovative solutions. | |
| title: Collaborative and Communicative, | |
| description: Effective in working with cross-functional teams and communicating technical concepts | |
| to non-technical stakeholders | |
| title: Authorized to work for any employer in the U.S., | |
| description: Ready for a 5-day onsite schedule with the flexibility for business travel. | |
| Will require a sponsorship for H1B. Already have one from last employment""" | |
| resume_data_dict = { | |
| "name": "Raushan Raj", | |
| "contact": f""" | |
| phone: (607) 232-4965, | |
| email: raushanraj0786@gmail.com, | |
| linkedin: linkedin.com/in/dr-raushan-raj-phd-a45277102/""" | |
| , | |
| "phone": "(607) 232-4965", | |
| "email": "raushanraj0786@gmail.com", | |
| "linkedin": "linkedin.com/in/dr-raushan-raj-phd-a45277102/", | |
| "summary": f"""AI Scientist with a Ph.D. in Computer Science and over 2 years of professional experience in developing cutting-edge | |
| AI/ML models to solve complex business problems. Proficient in statistical machine learning, deep learning, and | |
| computer vision, with a strong track record of research publications. Skilled in communicating technical concepts to | |
| non-technical audiences and collaborating in cross-functional teams. Experienced in the end-to-end process of AI | |
| solution development, from research and prototyping to deployment and productization""", | |
| "Yahoo": f"""worked as oftware Dev Engineer || at yahoo from 06/2022 – 06/2024.\n | |
| Researched and implemented advanced AI/ML algorithms, enhancing the accuracy and efficiency of predictive models used | |
| for fraud detection and user behavior analysis. \nDeveloped innovative AI models using TensorFlow 2 and XGBoost, leading to significant improvements in real-time data | |
| processing and decision-making capabilities.\n Collaborated with cross-functional teams to define model requirements, ensuring alignment with business objectives and user | |
| needs.\nConducted experiments and validated AI/ML models, documenting findings in technical reports and contributing to the | |
| company’s AI knowledge base. \n Optimized data workflows and model performance, ensuring compliance with data privacy and security regulations.""", | |
| "Assistant" : f"""worked as Research and Teaching Assistant at Binghamton University from 01/2019 - 05/2022. | |
| Authored five peer-reviewed research papers on AI and machine learning, focusing on areas such as Gaussian Conditional | |
| Random Fields and deep learning. Developed NLP and computer vision applications, leveraging Transformer-based models to enhance accuracy in tasks like | |
| text classification and image recognition. Led lab sessions and taught courses, effectively communicating complex AI concepts to students and fostering a collaborative | |
| learning environment""", | |
| "Sam Asher": f"""worked as Software Engineer Intern at Sam Asher Computing Service INC. from 05/2019 – 08/2019. | |
| Implemented AI-driven solutions for data analysis and report generation, improving the accuracy and efficiency of internal | |
| processes. Worked with clients to understand technical requirements, translating business needs into actionable AI solutions.""", | |
| "Info Edge" : f"""worked as Software Engineer at Info Edge from 10/2017 – 08/2018. | |
| Developed and optimized data models for various business applications, improving data accuracy and system performance. | |
| Built AI-powered features for web applications, enhancing user experience and engagement. | |
| Implemented key features and optimized database queries, resulting in smoother operations and improved data accuracy.""" | |
| , | |
| "Happily Unmarried Pvt Ltd": f"""worked as Software Engineer at Happily Unmarried Pvt Ltd from 06/2016 – 02/2017. | |
| Led the development of 10 APIs, integrating notifications and custom code rules to enhance website operations. | |
| Designed and deployed dynamic offer and feature systems, tailored to market demand, improving customer engagement and | |
| sales""", | |
| "Binghamton University" : f"""completed PhD from Binghamton University in Computer Science and also worked as Research and Teaching Assistant at Binghamton University from 01/2019 - 05/2022. | |
| Authored five peer-reviewed research papers on AI and machine learning, focusing on areas such as Gaussian Conditional | |
| Random Fields and deep learning. Developed NLP and computer vision applications, leveraging Transformer-based models to enhance accuracy in tasks like | |
| text classification and image recognition. Led lab sessions and taught courses, effectively communicating complex AI concepts to students and fostering a collaborative | |
| learning environment""", | |
| "experience": f"""Software Dev Engineer || at yahoo from 06/2022 – 06/2024. | |
| Research and Teaching Assistant at Binghamton University 01/2019 – 05/2022. | |
| Software Engineer Intern at Sam Asher Computing Service INC. from 05/2019 – 08/2019 | |
| Software Engineer at Info Edge from 10/2017 – 08/2018 | |
| Software Engineer at Happily Unmarried Pvt Ltd from 06/2016 – 02/2017""", | |
| "paper" : f"""Analyzing Aggregate User Behavior on a Large Multi-platform Content Distribution Service, | |
| SWIFT: A Non-Emergency Response Prediction System using Gaussian Conditional Random Fields, | |
| Wireless Channel Quality Prediction using Sparse Gaussian Conditional Random Fields, | |
| Ensemble Regression Models for Short-term Prediction of Confirmed COVID-19 Cases, | |
| SWaP: Probabilistic Graphical and Deep Learning Models for Water Consumption Prediction | |
| """, | |
| "publications": f""" | |
| paper:Analyzing Aggregate User Behavior on a Large Multi-platform Content Distribution Service, | |
| conference:EAI ADHOCNETS, | |
| date:12/2021, | |
| description: Explored patterns and trends in user behavior, informing strategic decisions for content distribution. | |
| paper:SWIFT: A Non-Emergency Response Prediction System using Gaussian Conditional Random Fields, | |
| conference: Elsevier Pervasive and Mobile Computing, | |
| date: 08/2021, | |
| description: Demonstrated superior predictive performance using advanced machine learning models. | |
| paper: Wireless Channel Quality Prediction using Sparse Gaussian Conditional Random Fields, | |
| conference:IEEE CCNC, | |
| date: 01/2021, | |
| description: Demonstrated superior predictive performance using advanced machine learning models. | |
| paper: Ensemble Regression Models for Short-term Prediction of Confirmed COVID-19 Cases, | |
| conference: Harvard CRCS Workshop on AI for Social Good, | |
| date: 07/2020, | |
| description: Developed an ensemble model for accurate COVID-19 case prediction across multiple countries. | |
| paper: SWaP: Probabilistic Graphical and Deep Learning Models for Water Consumption Prediction, | |
| conference: ACM Buildsys, | |
| date: 10/2019, | |
| description: Achieved significant improvements in water consumption forecasting, aiding in efficient resource management.""", | |
| "skills": f""" Python, Java, SQL, PHP, TensorFlow, PyTorch, XGBoost, Git, Eclipse, IntelliJ, | |
| Hive, BigQuery, Spark, Deep Learning, NLP""", | |
| "Python": "2 years of professional experience at Yahoo and 4 years while doing PhD and working as Research and teaching Assistant", | |
| "Java": "2 years of professional experience at Yahoo", | |
| "SQL": "4 years of professional experience at Yahoo, Info Edge, and Happily Unmarried Pvt. Ltd.", | |
| "PHP": "2 years of professional experience at Info Edge, and Happily Unmarried Pvt. Ltd.", | |
| "Tensorflow": "2 years of professional experience at Yahoo", | |
| "PyTorch": "2 years of professional experience at Yahoo", | |
| "XGBoost": "2 years of professional experience at Yahoo", | |
| "Git" : "All of my Professional , teaching and student experience", | |
| "Eclipse": "2 years of professional experience at Info Edge, and Happily Unmarried Pvt. Ltd.", | |
| "IntelliJ": "2 years of professional experience at Yahoo", | |
| "Hive" : "2 years of professional experience at Yahoo", | |
| "BigQuery":"2 years of professional experience at Yahoo", | |
| "Spark": "2 years of professional experience at Yahoo", | |
| "Deep Learning":"2 years of professional experience at Yahoo and my research as PhD", | |
| "NLP": "This Bot has been made using NLP", | |
| "Education": f""" | |
| school: Binghamton University, SUNY, | |
| degree: Ph.D., | |
| major: computer science, | |
| duration: 08/2018 – 05/2022 | |
| school: Indian Institute of Technology, Ropar, | |
| degree: Bachelor’s, | |
| major: computer science, | |
| duration: 08/2012 – 05/2016 | |
| """, | |
| "Indian Institute of Technology": f"""completed bachelors from Indian Institute of Technology, Ropar in Computer Science | |
| from 08/2012 – 05/2016""", | |
| "IIT": f"""completed bachelors from Indian Institute of Technology, Ropar in Computer Science | |
| from 08/2012 – 05/2016""", | |
| "Bachelors": f"""completed bachelors from Indian Institute of Technology, Ropar in Computer Science | |
| from 08/2012 – 05/2016""", | |
| "PhD" : f"""completed PhD from SUNY Binghamton University in Computer Science | |
| from 08/2018 – 05/2022""", | |
| "Authorize" : f"""Authorized to work for any employer in the U.S. Ready for a 5-day onsite schedule with the flexibility for business travel. | |
| Will require a sponsorship for H1B. Already have once from last employment""", | |
| "yourself": "I am bot created by Raushan Raj to answer your question about his resume", | |
| "unknown": "I am sorry, I am unable to understand it. I will note it and let the Raushan Raj know about this failure" | |
| } | |
| QL = { | |
| "queries": | |
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| "Hi", | |
| "Hello", | |
| "what is his name?", | |
| "what is his contact Information?", | |
| "what is his phone Number?", | |
| "what is his email?", | |
| "whats is his linkedIn profile?", | |
| "give me summary of his profile", | |
| "whats his work experience at Yahoo?", | |
| "whats his work experience as Reseach and Teaching Assistant?", | |
| "whats his work experience at Sam Asher Group?", | |
| "whats his work experience at Info Edge?", | |
| "whats his work experience at Happily Unmarried Pvt Ltd?", | |
| "whats his work experience at Binghamton University?", | |
| "whats his work experience?", | |
| "what are his research papers?", | |
| "detail about his publication.", | |
| "what are his skill?", | |
| "what is his experience in Python?", | |
| "what is his experience in Java?", | |
| "what is his experience in SQL?", | |
| "what is his experience in PHP?", | |
| "what is his experience in Tensorflow?", | |
| "what is his experience in PyTourch?", | |
| "what is his experience in XGBoost?", | |
| "what is his experience in Git?", | |
| "what is his experience in Eclipse?", | |
| 'what is his experience in IntelliJ?', | |
| 'what is his experience in Hive?', | |
| 'what is his experience in BigQuery?', | |
| 'what is his experience in Spark?', | |
| 'what is his experience in Deep Learning?', | |
| 'what is his experience in NLP?', | |
| 'what is his Education?', | |
| 'what is his education from Indian Institute of Technology?', | |
| 'what is his education from IIT?', | |
| 'where did he completed his Bachelors?', | |
| 'where did he completed his PhD?', | |
| 'is he Authorize to work?', | |
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