19-year-old Nischal becomes youngest Chartered Accountant in India

Bengaluru, Mar 16: A 23-year-old mobile app developer was arrested on Saturday for allegedly forging the signature of Infosys Foundation chairperson Sudha Murty to rope in Telugu actor Vijay Devarakonda as an app’s ambassador.

The arrest of Laveti Sai Krishna alias Krishna ML, a resident of Hyderabad, comes a year after the case was registered. Jayanagar police registered a case against Krishna on February 26, 2019 based on a complaint filed by Lt Col (retd) M Ramesh, representative of Infosys Foundation. The complaint was filed after the forged letter didn’t reach Devarakonda and came back to Infosys Foundation instead.

App developer is a B.Pharma holder

“We conducted an investigation and traced the app designer. We caught him and based on information provided by him, we learnt that Krishna was the brain behind the forged signature,” a senior police officer said.

Krishna confessed that he developed a mobile app — ‘Offer nearby’ — and planned to launch it in a big way. He wanted Telugu actor Vijay Devarakonda to be the app’s brand ambassador and tried contacting him. Krishna, however, was unable to meet Vijay.

Krishna then thought he could easily reach the actor if he sent a recommendation letter in the name of Sudha Murty.

“He forged the letterhead of Infosys Foundation and Sudha Murty’s signature. We are verifying his antecedents to know if he committed any other offence earlier,” said Rohini Sepat-Katoch, DCP (south). Rohini said Krishna is a B.Pharma holder and worked with an advertisement firm. Later, he planned to develop an app that provides details of offers for retail customers. He floated Laveti Technologies, and with help from a friend, developed ‘Offer nearby’.

As per the complaint, Krishna created a fake letterhead in the name of Sudha Murty and wrote to Devarakonda, asking him to become the brand ambassador/ partner for his mobile app. Krishna sent it through SpeedPost mentioning the sender’s address as Infosys Foundation. Krishna’s game was up when the letter, which wasn’t delivered to Devarakonda, came back to Infosys Foundation.

Bengaluru, Jun 12: The Central government has identified Karnataka's Udupi and Yadgir among the "emerging districts of concern" for COVID-19 in the country. Confirming the development, a top official of the state health department said, "they (centre) had reviewed these two districts a few days back...there was a sudden spurt of cases due to Maharashtra returnees turning positive." Sources said union cabinet secretary Rajiv Gauba, during a recent video conference with state chief secretaries and health secretaries, had shared his thoughts on the issue.

According to the information shared, districts with more than 400 cases, half of which was reported post-May 18 lockdown relaxation, have been identified as "emerging districts of concern." They are concentrated in the seven states/union territories of Maharashtra, Rajasthan, Tamil Nadu, West Bengal, Karnataka, Jammu and Kashmir and Haryana. "Udupi and Yadgir from Karnataka, along with Gurugram in Haryana and Kolhapur in Maharashtra have 90 per cent of the cases recorded after May 18," they said.

As on June 11 evening, Udupi had a total of 969 positive cases, out of which 619 are active, while 735 positive cases have been reported in Yadgir, out of which 626 are active. The two districts had reported a total of only 11 cases each as on May 18. While Udupi till last evening had seen 349 discharges, it was 108 in Yadgir.

Both districts have reported one COVID related fatality so far. As of June 11 evening, cumulatively 6,245 COVID-19 positive cases were confirmed in the state, which included 72 deaths and 2,976 discharges.

Bengaluru, Apr 2: A health worker, who was part of a team fighting against the Coronavirus disease in the city, was allegedly attacked by a mob and duped of her belongings at the Sadiq Layout in the Shivajinagar area on Thursday.

According to police sources, the health worker came under attack by a mob of youths when she was collecting data from those who were sick in the locality.