Alec’s internal roles include team growth and development, product steering, evolution of company protocol, and product management. His externally facing roles include client relations management, case study curation, partnership development, sales, and marketing.

Background

Alec holds an MBA from Stanford Graduate School of Business, where he focused on corporate innovation and digital transformation management as well as design thinking at Stanford’s d.school. Before joining Delfin, he worked as a digital transformation and internal entrepreneurship program development consultant at Intel, General Motors, Inditex, Swarovski, AECOM, and the Starwood Hotels and Resorts Worldwide Group. Alec earned a BS in chemical engineering and a BA in Asian studies from Rice University in 2009, after which he began his career at Shell in catalysis R&D; and refinery technical service engineering based out of Houston. He mostly covered hydrotreaters, with some work in reformers and tail gas treatment. He helped clients around the world and was involved with several new reactor startups and refinery turnarounds inside and outside of Shell. Emphasis on ESSA (Eliminate, Simplify, Standardize, and Automate) landed him a position as Shell’s internal software product manager for a global technical tool built by Astron International, which is how he knows his cofounders at Delfin. Alec also spent a year and a half in Denver as Shell's main development reservoir engineer for a $500 million dollar asset, where he took part in the evaluation of new technologies in hydraulic fracturing.

Alec likes to cite best practices he learned from working at a Y Combinator startup Spinpunch (now Battlehouse Games) while in business school. He is a big nerd, having contributed to research projects including liquid salt development at University of California Berkeley, urban migration studies in outer Mongolia, quantum computing research at Keio University in Japan, and electron orbital measurement at National University of Singapore. He earned a certificate in machine learning from Stanford and another in neural networks and deep learning from Stanford’s Andrew Ng and his Deeplearning.ai. Following a research trip to North Korea, he was once featured in an official DPRK tourism video.

Background

Atulya has 30 years of experience, the recent 20 plus years as an entrepreneur and cofounder of a company specializing in data analysis software applications for the oil industry.

After working for several years as an engineer in the oil industry, Atulya co-founded Astron International at the dawn of the Web revolution. Astron International successfully built strategic and transformative Web based applications for fortune 500 companies that exploited the revolutionary advantage of the Internet and leveraged the domain knowledge Atulya acquired in the oil industry.

Atulya now brings his entrepreneurial and technical software business experience to forge a vision and path for DelfinSia into the burgeoning field of AI. This vision combines advances in Natural Language Processing and text analytics with industry domain knowledge to exploit intelligence buried in unstructured data of customers so they can make better decisions faster.

Atulya has published several papers on Fluidized Catalytic Cracking (FCC) and other technical topics. He also has a U.S. patent on FCC. Atulya earned a M.S. in Chemical Engineering from the University of Akron, Ohio, a B. Tech in Chemical Engineering from the Indian Institute of Technology at New Delhi (IIT-D), India and graduate courses in business administration from Tulane University at New Orleans, Louisiana.

Background

Over the past 30 years, Rajul has been involved with numerous startups as founder, investor and executive team member. He started his career in the oil and gas industry as a process engineer and was in charge of developing main-frame computer software for process simulation and design. In the mid-nineties, he saw the advantages GUI based computer applications could deliver and co-founded Astron International, Inc. along with its subsidiary in India to develop software solutions for the petrochemical and petroleum refining industry. By the late nineties, he had led the transformation of his company to deliver enterprise class Web applications and services to fortune 500 companies, leveraging then emerging internet technologies.

Rajul brings his entrepreneurial and industry experience to help navigate DelfinSia, Inc. as it develops AI based solutions built on the recent advances in Natural Language Processing, Machine Learning and Big Data Analytics. His vision for DelfinSia includes enabling companies to mine the intelligence buried in their unstructured data to better inform decisions.

Rajul has an M.S. in Chemical Engineering from the University of Akron, Ohio, a B. E. in Chemical Engineering from BITS Pilani, India and graduate courses in business administration from Tulane University, Louisiana.

Background

Scott has over 20 years’ experience designing, developing and managing PC, web and mobile enterprise applications for Fortune 500 companies, particularly in the oil, gas and chemical fields. Along with an emphasis on clean design and simplified workflows, Scott stresses thorough requirements gathering and in-depth understanding of the underlying technology as key to a successful product deliverable. Scott has also worked with several non-profits in exploring technological solutions in helping drive their mission goals.

Scott holds an MBA from Tulane University with concentrations in finance and management, and both Master and Bachelor's degrees in Architecture with an emphasis on design and engineering. As a lifelong learner with an innate calling towards new technology, Scott has pursued continued education in AI, ML, NLP, Blockchain, graphical design, project management and culinary arts.

Background

Justin holds a M.S. in Artificial Intelligence from Stanford University as well as a B.S. and M.S. in engineering from Georgia Institute of Technology. Justin’s professional experience spans seven years of consulting in the oil and gas, hospitality, and other industries. He specializes in computational linguistics, IoT, and data analysis. Through his diverse range of experiences, Justin is able to balance knowledge breadth with technical depth. Justin is proficient in many programming languages, including SQL, Python, and R, among others. He has presented at several notable conferences including PyData, and has published several peer-reviewed papers.

Background

Amanpreet comes from a very broad and diverse spectrum of technology. She holds a master's degree in technology in embedded systems from Nirma University, Ahmedabad, India, where she started developing a passion for programming. She has a bachelor’s degree in engineering, with a major in electronics and electrical. As a Software Engineer at Intel Technology India Pvt. Ltd., Bangalore, India, Amanpreet helped implement an automation framework for the validation of Intel Graphics Driver. She actively participated in meetings with stakeholders on design reviews for development of Automatic Game Optimization Settings in Intel HD Graphics Control Panel. Amanpreet's validation efforts on Automatic Game Optimization Settings helped the team to successfully release a new version of Intel Graphics Driver covered by press, recognized by senior technology leaders and by team management (reference links: techreport.com, pcworld.com, ghacks.net). Amanpreet has been acknowledged as a team player with a “can do” and “never give up” attitude by her peers. She has worked with an international tech giant as well as with a startup in the past, and the amalgamation of both the cultures has helped her to steer through challenging situations to meet targets.

Amanpreet was always inclined towards learning the concepts of AI, ML, and Cloud Computing, which has led her to acquire knowledge beyond the demands of her usual company work at Intel. She firmly believes that the forever increasing torrent of data will function as rocket fuel for various data science models and will bring about tremendous change in the energy industry. She holds certifications in Machine Learning, Apache Spark, Apache Hadoop, and MapReduce from Udemy. Amanpreet is a big time Superhero movie buff, a hoopster, and a musicophile.