Thanks, Al. We had an excellent start to 2024 with solid performance across the board. Revenue was up 19% organically year-over-year to $123 million. Adjusted EBITDA was up 12% year-over-year to $11 million. We converted our strong Q4 revenue into cash as Q1 cash flow from operations was up 56% year-over-year to $27 million. These metrics are all company records for the first quarter and these were delivered against a tough comparison a year ago when we also had record performance led by a large software license. Kim will go into more detail on our financial results. Today, you'll hear us talk about new data center load driven by artificial intelligence processing that is adding demand for electricity far faster than most predicted. This trend is a new catalyst for Willdan's services. Solid performance over the last 18 months has rapidly deleveraged our balance sheet and puts us in a strong position to pursue strategic acquisitions. I'm proud of our team for delivering another great quarter. On Slide 3. For those less familiar with our business, Willdan helps transition communities to clean energy and a more sustainable future. We have about 1,600 employees comprised mostly of scientists, engineers and other technical professionals. We have 53 offices across North America and help clients avoid 7.7 million metric tons of greenhouse gases. Our customers on the right are about evenly split between government and utilities, while commercial customers make up only 7% of our work. In Q1, government customer demand for our services remained healthy, continuing the trend we saw last year. We are submitting new proposals to government customers at a record pace for us as new federal funding is beginning to flow to our state and local customers. These clients are also issuing us new work to demonstrate progress to voters in advance of the November elections. On Slide 4. Our upfront policy and data analytics work informs Willdan's strategy. In our upfront work, we see that customers are beginning to rapidly prepare for new electric load on the power grid. I'll give you some examples of this in a moment. In engineering, we saw strong demand for our municipal services. We picked up new programs that designed for transportation electrification, small local solar generation and municipal building efficiency. In program management, we entered the year with around $200 million in funded backlog and did a good job of executing here early in the year. I'll note that at Willdan, while revenue is skewed towards larger program management projects, our profit is delivered about equally from each of the 3 phases of work. On Slide 5. We had several notable wins this quarter. We added 2 new Confidential LoadSEER software customers in Q1. One is a major IOU on the East Coast and the other is an IOU in the Western U.S. Building on our work performed for New York City, we added a Comprehensive Regional Climate Action Plan for the city of Chicago this quarter, beating out highly qualified competitors. This study is funded through the Federal Inflation Reduction Act, IRA and is similar to IRA funded climate action plans we've recently won in Hawaii, Idaho, New Mexico and the State of New York. We use data analytics to advise clients on ideal locations for new data centers, optimizing electricity availability, price and other factors. We had a new project this quarter from a large real estate investment firm that is trying to sight new data centers. We also have a group within Willdan, about $10 million a year that provides energy efficiency at data centers across the U.S. We've had this group for years. We picked up a new contract with AT&T, one of our long-term customers, providing this service. And in California, we were selected by the Pasadena Department of Water and Power to develop a carbon-free electricity strategic plan. On Slide 6. Recent headlines nearly everywhere point towards the rapid electricity load growth caused by AI data processing. The swift commercialization of AI requires massively more electricity than most people expected. A recent study by the International Energy Agency, IEA, shows the combination of AI and cryptocurrency processing will double data center energy consumption by 2026, just 2 years from now. On Slide 7. According to the Federal Energy Regulatory Commission, FERC, data, over the past year, grid planters nearly doubled the 5-year loan growth forecast. The main drivers are investments in new industrial manufacturing and the data center facilities. The map on the right shows that certain pockets in the D.C. area, Southeast, Midwest and West Coast are projecting far more rapid growth than average areas. Lower electricity transfer capability between these regions is a key risk for reliability if low growth outpaces deployment of new generation in certain areas. Since these forecasts were filed with FERC, Willdan customers like Puget Sound Energy, Duke Energy, Dominion and TBA have stated that their load expectations have grown even higher due to data centers. This indicates that the current FERC load forecast is likely to be an underestimate. Electricity prices last year increased about 18% in California and increased 10% in New York, Willdan's largest 2 markets. This compounding effect of higher electricity prices and higher electricity load is providing a new catalyst for Willdan solutions. We're clearly excited about the energy transition capabilities that we've assembled here; planning, software, energy efficiency and engineering. We are in the right market and we look forward to adding even more capabilities through M&A in the quarters ahead. Kim, over to you.