About Me

From the elite defence labs of DRDO–DRDL to intensive research in consciousness studies and neuromorphic systems, my path as an engineer has been defined by extremes — of intellect, intention, and impact. I am a graduate in Electronics and Communication Engineering from Thapar University, and my journey is fueled by a relentless pursuit to understand complex systems, both human and machine. At DRDL, I was entrusted with the AI Band Vision Project under the mentorship of Dr. Akula Naresh (Scientist-F), where I developed and deployed a real-time aerial object detection system using YOLOv7 on the NVIDIA Jetson AGX Xavier. This was not theoretical R&D — it was applied innovation for national defence. I trained custom datasets, optimized edge inference pipelines, and integrated my work into Tunga, an autonomous aerial platform powered by the Jetson Nano and Pixhawk. Every iteration was a high-stakes contribution to real-world autonomy — a rare fusion of AI, embedded systems, and robotics, shaped by urgency and purpose. Then, at the peak of my technical momentum, I pursued a 12-month deep dive into consciousness research, human behaviour analysis, and neuromorphic computing. I studied EEG signal processing, explored Gödel's incompleteness theorems and their implications for AI, analyzed decision-making frameworks through the lens of game theory and the Prisoner's Dilemma, and investigated mind-body-soul health parameters for optimizing cognitive performance. This wasn't a pause from technology — it was advancing my understanding of intelligence itself. I researched sustainable system design methodologies, developed frameworks for work-life optimization, and created stress reduction protocols based on neuroscience principles. I studied how biological neural networks inspire more efficient computing architectures and explored time management systems that enhance productivity while maintaining mental clarity. This research phase revolutionized my approach to engineering. I now design systems with a deep understanding of human cognition, decision theory, and sustainable performance. My work integrates insights from psychology, neuroscience, and raw philosophy to create AI systems that are not only technically superior but also aligned with human needs and long-term sustainability. I've since returned with enhanced capabilities, immersing myself in projects at the intersection of artificial intelligence, robotics, control theory, physics-inspired simulation, and brain-inspired computing. My work now flows with a dual force: scientific precision and philosophical depth. Outside the lab, I live the same ethos of flow and control. I perform improvised guitar solos, master freestyle football, ride the edge with advanced skateboarding, compete in boxing, and race through virtual skies in high-speed FPV drone simulations. These aren't hobbies — they are extensions of the same presence and performance that define my engineering. I build systems that think, sense, move — and evolve. And I do so not just with skill, but with purpose. My mission is to push the boundaries of intelligence — both artificial and human — and to engineer a future that is not only smarter, but also more conscious.

  • DRDO-DRDL(Defence Reaserch and Development Laboratory).
    (January-2023 to June-2023)
    Deep Learning Project Intern


    1.) 6-month stint on Indigenous Defence Projects.
    2.) Focused on the AI Band Vision Project led by Dr. Akula Naresh (Scientist-F) (Industrial Mentor).
    3.) Implemented YOLOv7 on NVIDIA Jetson AGX XAVIER.
    4.) The Task involved Real-time aerial view object detection leveraging a custom dataset on YOLOv7, trained on NVIDIA Jetson AGX XAVIER, and deployed on an aerial vehicle (Tunga) equipped with NVIDIA Jetson Nano and Pixhawk.
    5.) Added Parameters (Code) to the detection for specific applications under the guidance of the Industry Mentor.
    6.) Collaborated with cross-functional teams to integrate enhanced object detection.
    7.) Developed perception models for Aerial vehicle under ROS/Gazebo, implemented sensor fusion for restricted environments.
    8.) Achieved 89% mean average precision (mAP) and 22 FPS inference speed with 95% field accuracy.

  • 2019-2023 | Thapar Institute of Engineering and Technology.

    Bachelor of Engineering in Electronics and Communication Engineering.

  • 2017-2019 | Krishna Murty IIT Academy(Shivam Junior College).

    11th&12th Standard.

  • 2017 | All Saints High School.

    10th Standard.

  • Guitar Performance (Solo Improvisation)

    Crafting spontaneous melodies that blend emotion with technique.

  • Freestyle Football

    Mastering ball control with creativity, precision, and flair.

  • Advanced Skateboarding

    Pushing balance and style through complex street and park tricks.

  • Competitive Boxing

    Honing discipline, agility, and strategic thinking in the ring.

  • FPV Drone Racing (Simulation Expertise).

    Navigating virtual airspace with split-second reflexes and control.

Carrier Records

DRDO-DRDL

Internship Completion Certificate(AI-Band Vision Project).

Jan/2023 - June/2023

Thapar Instiute of Engineering and Technology

B.E in Electronics and Communication Engineering

2019 - 2023

JEE Mains Score Card

2019

11th and 12th Standard

Krishna Murty IIT Academy ,Shivam Junior College

2017 - 2019

10th Standard

All Saints High School

2017

My Arena

AI

All the work that i have done in AI.

Robotics

All the work that i have done in Robotics.

Space and Bio-Tech

All the work that i have done in Space and Bio-Tech.

Contact Me

ksrujan_be19@thapar.edu

kt.srujan@gmail.com

+91 9100725768