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Founder @ OPAAI | PhD @ IIT Patna | AI for Infrastructure | Drone| Computer Vision | Researcher
I am currently pursuing a Ph.D. at the Indian Institute of Technology (IIT) Patna, with a research focus on structural health monitoring using AI-driven vision systems. My work involves the application of advanced computer vision methodologies—particularly convolutional neural network (CNN)-based deep learning models—for the real-time detection of structural damage in civil infrastructure. My academic contributions include several peer-reviewed publications, as well as the development of specialized datasets aimed at addressing practical challenges in the construction sector. In parallel with my academic research, I serve as the Founder and Director of OPAAI Pvt. Ltd. (Open Platform for Automation and Innovation), a technology-driven enterprise dedicated to revolutionizing the construction industry. At OPAAI, we harness artificial intelligence, drones, digital twins, and data-driven analytics to develop integrated platforms that support informed decision-making, enhance safety standards, and streamline infrastructure maintenance and management. With a multidisciplinary background in civil engineering, computer science, and robotics, I am committed to bridging the gap between research and industry through scalable, innovative, and impactful solutions. 🔑 Key Highlights & Strengths 🎓 Ph.D. Researcher at IIT Patna: Focused on vision-based AI systems for structural health monitoring and damage detection. 🧠 Founder of OPAAI Pvt. Ltd.: A platform integrating AI, drones, and automation to modernize infrastructure and construction workflows. 📚 Published Author: Contributed to reputed journals like Automation in Construction and leading academic datasets on damage detection. 🤖 Technical Proficiency: Expertise in YOLO (V3 to V11), TensorFlow, OpenCV, Python, FastAPI, drone vision systems, and real-time data analytics. 🌉 Br
Indian Institute of Technology, Patna
Doctor of Philosophy - PhD, Civil Engineering
January 1, 2023 – Present
Indian Institute of Technology, Patna
Bachelor of Technology, Civil Engineering
January 1, 2017 – January 1, 2021
Sadanand Intermediate college Biharsharif
Intermediate, Science(Mathematics)
January 1, 2014 – January 1, 2016
vivekanand Public School
10th
January 1, 2013 – January 1, 2014
OPAAI
Founder
June 1, 2023 – Present
Indian Institute of Technology, Patna
Ph.D.
January 1, 2023 – Present
India
Brainwave Technologie
Full stack Devloper
January 1, 2023 – Present
Delhi, India
GarudaUAV
Deep Learning Engineer
May 1, 2022 – January 1, 2023
Noida, Uttar Pradesh, India
Training & Placement Cell, IIT Patna
Placecom
September 1, 2019 – March 1, 2020
Greater Patna Area
Incubation Centre IIT Patna (IC IITP)
Co-founder of Blind Assistance System
March 1, 2019 – March 1, 2020
India
Samnivesh IIT Patna
MPR Co-Ordinator
August 1, 2018 – March 1, 2020
Greater Patna Area
Tinkerer Lab IIT Patna
Sub Co-ordinator
April 1, 2018 – April 1, 2019
Indian Institute of Technology, Patna
Mess Secretary
April 1, 2018 – March 1, 2019
Greater Patna Area
Team Phoenix Robocon IIT Patna
Technical Team Member
August 1, 2017 – August 1, 2019
Greater Patna Area
INSPECTION AND MONITORING OF STRUCTURAL DAMAGES USING DRONE
March 1, 2020 – May 1, 2021
Under the guidance of Dr. Vaibhav Singhal, IIT Patna - We build a semi-automated drone capable of collecting images of difficulty-accessible places along with their location using a camera and GPS. The project is an implementation of Machine Learning Techniques namely Convolution Neural Network to find the damages in the building - We collected data of 20000 images for training so that we can train the model for higher accuracy. We also Developed software for windows application
IDENTIFYING PAVEMENT PERFORMANCE USING MACHINE LEARNING
January 1, 2019 – April 1, 2020
Under guidance of Dr. Sudhir Verma, IIT Patna The objective of the project is to build a system having a Capability of automatic detection of crack, Potholes, and other distress like rutting in the pavement. A supervised deep convolutional neural network is used to classify each frames patch in the collected video sample and map into distress levels of the road.
ABU Asia-Pacific ROBOT CONTEST(ABU ROBOCON)
August 1, 2017 – June 1, 2019
Under the guidance of Dr. Atul Thakur, IIT Patna - The project consists of the manufacturing of two robots One is an Autonomous quadruped which has to perform a specific task like picking an object, stair climbing, passing hurdles, etc, other one semi-automatic four-wheel drive which performs tasks like Picking, throwing of object using catapult mechanism. We were secure rank 2 in stage one and in the final we are in the top 25. -The project consists of the manufacturing of two robots One is an Autonomous-Manual four-wheel-drive which has to perform specific tasks as per rule but we are not securing good ranks.
Cultural Fit Analysis
The candidate's diverse project portfolio, including robotics, machine learning for structural damage detection, and pavement performance, demonstrates a broad interest in applying technical skills to real-world problems. Their involvement in multiple extracurricular and leadership roles at IIT Patna suggests a proactive and collaborative individual. The pursuit of a PhD further indicates a commitment to deep learning and research. While the target role is Embedded Systems Engineer, the candidate's background leans heavily into ML/AI applications on embedded platforms, suggesting a good fit for roles that combine these disciplines. The lack of explicit embedded systems projects or skills in the resume is a gap, but the robotics experience provides a foundation.
Soft Skills & Operational Fit
The candidate's involvement in various organizational roles (Placecom, MPR Co-Ordinator, Sub Co-ordinator, Mess Secretary) and co-founding a project (Blind Assistance System) indicates strong leadership, teamwork, and organizational skills. The experience as a Founder at OPAAI also suggests entrepreneurial drive and initiative. These experiences point to a candidate who can operate effectively in a team and take ownership.