Actionable Energy Intelligence
The Mountain Vector Energy team leverages our customers’ existing systems fully to enable focused energy and water decision making. We remain very disciplined and technologically unbiased in the evaluation, selection and addition of new customer technologies and methods. Actionable Energy Intelligence is our focus and flawless execution is our approach.
Our team members have experience in cutting-edge energy and cost savings technology and software.
Safety Integrity Work Ethic Perfection Communication Collaboration
Steve understands how to assemble data, information, action and results that are meaningful to the constituents of each Energy Management Team. He helped shape the Net Zero press release content for the City of Albuquerque in late 2018. He anticipates Executive level requirements and communication with ease. He has run large ‘operations’ organizations in the semiconductor industry with direct profit and loss responsibility in unforgiving business environments. He had direct responsibility for over $500M in highly complex equipment installations globally with extensive vendor management requirements. He stood up New Mexico’s first commercial and industrial demand response program establishing 32 MW of virtual peaking power plant capacity in 2008. As his career in energy progressed, Steve realized early that our customers don’t have a data problem, they often have an information problem that touches electricity, gas and water waste.
Aislin is a key player for the PNM Peak Saver Program and directly project managed the iOT Telemetry deployment at over 80 NM locations. He directly managed B&D Industries team members in their subcontract to Enbala to ensure safety, timeliness, quality, and budget performance. Additionally, he developed the Scope of Work (SOW) for the remote BAS scripting (Trane, iCSI, ACS) for over 40 PNM Peak Saver locations for automated demand response. He served as the lead in addressing and PNM & Enbala telemetry design issue that included close coordination with a licensed electrical engineering firm. He managed all projects from ‘zero to one’ ahead of schedule and well under budget. He is fluent with Building Automation Systems and expert in the quantitative analysis of vast interval data recording (IDR) data sets. He also led Enbala’s first Distributed Energy Management Software (DERMS) deployment with PNM in New Mexico. Aislin has been with Mountain Vector Energy since 2018.
Fluent in Dude Solutions Energy Manager and in conjunction with any data set from any source, Paige can measure and visualize pertinent layered data streams with related cost impact analysis in past, present and future. Paige is unique in that she has measured over 100 energy conservation projects that include LED interior, exterior and streetlights, RTU replacements, atmospheric and power burner boiler upgrades, chilled water optimization, steam traps, chiller, heat exchangers and cooling tower replacements to include over 68 solar sites. Her measurement includes both energy and commercial performance for feasibility as well as past, present and future applications. Utilities and Water, Efficiency and Renewable feasibility assessments and quantitative analysis is some of the work she has done with Mountain Vector Energy since 2016.
Vakar Ahmed, born and raised in Kashmir, is driven by his love of learning and the belief that beneficial technologies should be accessible to all people around the globe. With a background in Electrical and Computer Engineering, the question of how he can implement his skills to better the lives of people has prompted the design of economically accessible devices using novel technologies. Some recent works include the design and prototype of a modular functional prosthetic hand, built using elastomeric actuator made to replicate frequent human grasps, and the design and development of a sensory wristband made to attenuate the communication divide between children with hearing disabilities and caregivers.
Vakar has been with Mountain Vector Energy since 2020 and is competent in various embedded and software technologies, web technologies, techniques in machine learning and general computing. In his free time, he enjoys photography, pickleball, and playing with his cat, Geryon.
David graduated from Tufts University in May, 2020 with a degree in Physics (BS). In 2019, he worked as a Research Assistant at the MIT Department of Nuclear Science and Engineering (NSE), designing and constructing parts to a portable Time-Of-Flight neutron detector. In 2018, he was a Science Intern at Passport Systems Inc., a Department of Homeland Security (DHS) contractor that builds scanners for non-intrusive cargo inspection. He analyzed Nuclear Resonance Fluorescence (NRF) scans using Gamma Ray Spectroscopy, and performed viability tests for the possible detection of contraband such as depleted uranium, C4, mustard gas, and cocaine simulant. He is the recipient of the Amos Emerson Dolbear Prize Scholarship in Physics and been with Mountain Vector Energy since 2020.
Madeline is fluent in most Dude Solutions platforms and advanced data analytics with a focus on deeper programming experience with extremely large data sets. With expertise in Dude Solutions Work Order Management Systems, she often links utility performance with peoplepower, project costs and operations budget performance. Layering data from multiple sources has always been a core capability. She is comfortable with the design of complex electromechanical systems and related software. Utilities and Water, Efficiency and Renewable feasibility assessments and quantitative analysis are some examples of the work she’s done with Mountain Vector Energy.
Driven by his interest in strategic games from an early age, Manideep developed his analytic and problem-solving mindset. His desire to positively impact people’s lives led him to complete his Master’s Degree in Computer Science. Passionate about Web Development and Machine Learning, Manideep intends to use his experience and skills to support a sustainable advancement in Technology. Manideep considers the algorithmic properties of the mind, which processes input to form its understanding of the world. He believes that by providing people with accessible data, they will have more information for decision-making.
Manideep enjoys putting in the work when he knows it will be of benefit to people. For example, he made a web app using the data from 1,101 wells in the Navajo Nation available for researchers and policy makers to interact with, enabling them to understand the effects of Uranium mining. He also uses machine learning for classification to aid in human comprehension of big data. In his free time Manideep finds himself looking into Cosmological, Philosophical and Theological debates and enjoys playing basketball, badminton, chess.
From childhood, Vasman knew she wanted to be part of a technological revolution. Recognizing that computers have uplifted human life in all possible ways, she pursued her strong interest in Computer Science and developed keen analytical skills. Vasman completed a diploma in Electronics and Communication Engineering, a BS in Computer Science & Engineering and is currently pursuing her Master’s Degree in Computer Science.
Vasman has a broad perspective of Computer Science, including Java Programming, Object Oriented Programming, Data Structures, Relational Databases, Management Systems and Advanced Database Management Systems. Her experience has been focused in app development for geo-enabled work order management. The promise of a better, safer future enabled by technology drives Vasman’s interest in Artificial Intelligence, Machine Learning and Big Data.
