In the bustling streets of Mumbai, 17-year-old Ava thought she knew her place in the world—until she stumbled upon a secret that would change her life forever. Her best friend, Alex, harbors ties to a powerful organization known as The Machina, an entity that blends human and machine, controlling lives from the shadows.
Drawn into a world of hidden agendas and high-stakes technology, Ava must confront her deepest fears to uncover the truth. As she ventures deeper, she discovers a dangerous game where humanity hangs in the balance. Can Ava and her allies unravel The Machina’s dark plans before they lose themselves to the machine?
Human or Machine Trap is a gripping tale of loyalty, resilience, and the fight for identity in a world where control is only a code away.
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Akhil Sajan, Jagdish Shetty
Akhil Sajan is an author and IT Manager with a diverse background that spans criminology, technology, and security. At 25, Akhil’s career reflects a unique combination of academic insight and technical expertise. He holds a degree in criminology, which has shaped his analytical approach to problem-solving and informed his work in the field of information technology.
Currently working as an IT Manager, Akhil combines his understanding of criminal justice and cybersecurity to manage complex IT systems and ensure the safety of digital infrastructures. His professional journey has been marked by his commitment to blending the worlds of technology and security—an intersection that he explores both in his writing and his career.
In addition to his work in IT, Akhil is passionate about exploring the psychological, social, and technological factors that shape criminal behavior and digital security. His writing delves into these themes, offering insights into the modern landscape of crime, technology, and their intersection.
When he's not managing IT systems or writing, Akhil is a keen advocate for understanding the evolving relationship between technology, crime, and society, frequently exploring new trends in cybersecurity and data privacy.
