B.Tech Computer Science with Artificial Intelligence & Machine Learning ✶

Mrinank Kavuri failed both his engineering entrance exams, then cracked a software engineering role at Agoda, one of Asia’s biggest travel-tech companies. This is the full, real breakdown of how: the DSA rounds, the system-design round (designing a chat application), and the disciplined preparation, from Parul University’s Marquee Training to placement-cell mock interviews, that got him there.

Hemasri Nodagala calls herself a background analyser, not a coder, and it is exactly why she was placed at Demandbase with a Rs 12 LPA offer. Her Parul University journey makes a case many students need to hear: in AI, the ability to frame a problem, research a solution, and adapt to new technology can matter as much as writing code. Here is how she did it.

As AI systems move from answering questions to taking actions, they become software that can be attacked. Prompt injection, now ranked the number-one risk to AI applications, is the central threat, and agentic AI and the Model Context Protocol expand the attack surface. Here is what it means, and how to defend against it.

Sajid Dudekula set out to wear an Air Force uniform, not to write software. A health-related setback closed that door, and an AI & ML degree at Parul University opened another: he built real AI projects, trained in Salesforce, and was placed as a Salesforce Developer at Demandbase with an apprenticeship at Rs 40,000 a month and a Rs 12 LPA offer. His story is a map of how an AI student becomes a Salesforce developer.

Machine learning interviews are not memory tests. Effective machine learning interview preparation means understanding concepts and their mathematics, being able to explain your projects in depth, and showing genuine curiosity. Here is what each round tests, drawn from a real placement journey.

An AI and machine learning placement rarely comes from cramming in the final semester. Shrushti Kale, a Parul University AI and Data Science graduate, built hers over years of self-directed learning, real projects, and two internships, and secured a role at the fintech company Jocata.

Pratham Vani, a Parul University student who applied for B.Tech and switched to architecture when his father supported him. His journey from NATA, five competitions, a bruising jury and a two-week build-up shows what studying architecture actually demands.

The Filament Extrusion System inside Parul University’s Lakshya 2047 Centre converts waste plastic and failed 3D prints into recyclable filament using a Shredder Machine and EVI Filfil Spooler, anchoring a cross-lab sustainability framework aligned to NEP 2020 and Sustainable Development Goals.

The last day of PiCET was observed on 2nd May 2026 with an award ceremony. Appreciating twelve winners across the research sessions. The highest prize awarded was ₹15K, the third prize winner offered ₹5K, along with consolation awards. The article mentions a complete list of winners, paper IDs, and Parul University’s engineering programs that train students who prepare them for each domain.

Inside Parul University’s Centre of Excellence in Sensor Technology, part of the research-laboratory cluster at Lakshya 2047: an electrochemical analyser, a 405 nm UV laser writing system, a hydrothermal autoclave at 100 bar and 300°C, more than fifty sensor types on display, and more than thirty disclosed patent applications.

Lakshya 2047 at Parul University houses ten NSDC Lab Ecosystem laboratories (NVIDIA, Cisco, ABB, AR/VR, ANSYS, Adobe, Autodesk, VLSI, AWS, Apple), the AICTE AVPL/IDEA Lab Zone for fabrication and drone training, and dedicated research labs including the Mind Lab and the Centre of Excellence in Sensor Technology.

In the fully-sponsored trip to Bangalore, Parul University’s 3 students met 3 Top Tech Leaders, Mr. Avinash Avula, Mr. Navin Bishnoi, and Ms. Daisy Chittilapilly. Read the full coverage ahead.

IIIT Hyderabad’s Smart Innovative Campus deploys 300+ sensor nodes across the campus using Wi-SUN wireless, VISEN radio frequency backup, and a digital twin of water management. Sensors that deliver 97% accuracy.