Spaces:
Running
Running
File size: 21,890 Bytes
c03b1cc ffb6c23 c03b1cc |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 |
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":
[
"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?',
'name',
'contact',
'phone',
'email',
'linkedin',
'summary',
'Yahoo',
'Assistant',
'Sam Asher',
'Info Edge',
'Happily Unmarried Pvt Ltd',
'Binghamton University',
'experience',
'paper',
'publications',
'skills',
'Python',
'Java',
'SQL',
'PHP',
'Tensorflow',
'PyTorch',
'XGBoost',
'Git',
'Eclipse',
'IntelliJ',
'Hive',
'BigQuery',
'Spark',
'Deep Learning',
'NLP',
'Education',
'Indian Institute of Technology',
'IIT',
'Bachelors',
'PhD',
'Authorize',
"tell me about yourself",
"yourself",
"tell me about his resume",
"resume",
"tell me his dance",
"unable to understand"
],
"labels": [ "yourself",
"yourself",
'name',
'contact',
'phone',
'email',
'linkedin',
'summary',
'Yahoo',
'Assistant',
'Sam Asher',
'Info Edge',
'Happily Unmarried Pvt Ltd',
'Binghamton University',
'experience',
'paper',
'publications',
'skills',
'Python',
'Java',
'SQL',
'PHP',
'Tensorflow',
'PyTorch',
'XGBoost',
'Git',
'Eclipse',
'IntelliJ',
'Hive',
'BigQuery',
'Spark',
'Deep Learning',
'NLP',
'Education',
'Indian Institute of Technology',
'IIT',
'Bachelors',
'PhD',
'Authorize',
'name',
'contact',
'phone',
'email',
'linkedin',
'summary',
'Yahoo',
'Assistant',
'Sam Asher',
'Info Edge',
'Happily Unmarried Pvt Ltd',
'Binghamton University',
'experience',
'paper',
'publications',
'skills',
'Python',
'Java',
'SQL',
'PHP',
'Tensorflow',
'PyTorch',
'XGBoost',
'Git',
'Eclipse',
'IntelliJ',
'Hive',
'BigQuery',
'Spark',
'Deep Learning',
'NLP',
'Education',
'Indian Institute of Technology',
'IIT',
'Bachelors',
'PhD',
'Authorize',
"yourself",
"yourself",
"summary",
"summary",
"unknown",
"unknown"
]
}
|