Los Angeles County sheriff‘s deputies have arrested a 37-year-old man suspected of homicide after a girl’s physique was discovered this week stuffed contained in the trunk of a automotive at his house and set on fireplace.
Veronica Aguilar, 27, had been dwelling in a house owned by the suspect, Matthew Switalski, within the Quartz Hill neighborhood close to Lancaster. The UCLA graduate taught at a close-by elementary college and was beloved by the households she labored with and her associates.
Aguilar’s physique was discovered by Los Angeles County firefighters responding to a storage fireplace Wednesday.
“Her story is everywhere in the information of her brutal dying,” her brother Juan Aguilar wrote on a GoFundMe web page meant to boost cash for a funeral. “Issues won’t ever be the identical ever once more. We miss her a lot. She had one of the best spirit she all the time had a smile. My household is heartbroken.”
“She was the sweetest trainer on the planet,” one dad or mum of a scholar wrote on the web site. “We have been blessed to have her in our lives. My daughter liked her a lot.”
Switalski is a former Northrop Grumman worker, and KABC-TV reported that he labored on the protection firm till Might. He was, based on Linkedin, a program, price and schedule controller and had labored for the corporate since 2010.
Within the spring, court docket information present, Switalski was arrested and charged with a number of counts of rape and sexual misconduct with a romantic associate. After being arraigned in June, he was launched on $600,000 bail, based on court docket information.
After the fireplace was extinguished on the Quartz Hill house Wednesday morning, authorities rapidly recognized Switalski as a suspect. Crews had searched the storage and found the girl’s physique contained in the trunk of the automotive.
He was arrested Thursday in Kern County, based on the Los Angeles County Sheriff’s Division. He’s being held on the Lancaster Sheriff’s Station on a $10-million bond and has been charged with a felony, based on the division’s inmate locator.
