PhD researcher with over 4 years of expertise in computer vision, deep learning, and UAV perception systems, skilled in deploying advanced vision models using PyTorch, ROS, and Gazebo on real-world UAV platforms. Proven ability to translate complex research into deployable products, driving innovation in autonomous systems, robotics, and applied AI as an aspiring Technical Co-founder or Founding ML Engineer.
Project Associate
Chandigarh, Chandigarh, India
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Summary
Led advanced research and development for autonomous vision-based navigation and landing systems for multi-rotor UAVs within a critical DRDO ARDB project.
Highlights
Pioneered the design and rigorous evaluation of monocular and stereo depth estimation models (CNN, Transformer, GAT, GraphSAGE), achieving significant metric improvements on diverse aerial UAV datasets.
Spearheaded the creation and ground truth generation of LandUAVSafe and UAV-LiD, the first publicly available datasets with sensor information and annotations for surface inclination angles, critical for training and benchmarking UAV perception models.
Developed and optimized deployment-ready UAV perception pipelines, integrating vision models for real-world autonomous system applications, enhancing operational efficiency and safety.
Contributed to the advancement of autonomous systems by bridging theoretical research with practical, deployable solutions for challenging aerial environments.
Analyst
New Delhi, Delhi, India
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Summary
Conducted comprehensive data analysis and information management, contributing to urban development and government scheme evaluation.
Highlights
Analyzed and systematically updated critical ground information for multiple cities, ensuring data accuracy and integrity for urban planning initiatives.
Evaluated beneficiary data for various government schemes, providing data-driven insights to optimize program effectiveness and resource allocation.
Intern
New Delhi, Delhi, India
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Summary
Contributed to embedded systems development and automation projects, applying foundational electronics and programming skills.
Highlights
Developed and implemented an automated street light system using Arduino and Raspberry Pi, enhancing energy efficiency and contributing to smart city solutions.
Gained practical experience in electronics and programming, applying theoretical knowledge to real-world embedded systems applications.
Student Volunteer
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Summary
Conducted on-site inspections and data analysis to improve municipal waste management and sanitation facilities.
Highlights
Performed on-site inspections and surveys, collecting critical data to assess the effectiveness of municipal waste management and sanitation facilities.
Analyzed collected data to identify areas for improvement and contribute to strategic recommendations for enhanced public services.
Chapter Lead
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Summary
Led a team of 150 volunteers across various community initiatives, including environmental, mental health, and medical campaigns.
Highlights
Mobilized and led a team of 150+ student volunteers for successful cleanliness drives, Earth Day campaigns, mental health awareness, and medical camps.
Collaborated with institutions like ISB and IISER Mohali to expand outreach and impact of community service projects.
Student Volunteer
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Summary
Organized and participated in events focused on community health, safety, and blood donation.
Highlights
Organized and executed multiple community events, including blood donation camps, health and safety compliance drives, and volunteer recruitment initiatives.
Contributed to surveys and outreach efforts, actively engaging community members in various social impact programs.
Teacher
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Summary
Developed curriculum and managed classroom activities, fostering student engagement and learning.
Highlights
Designed and implemented engaging curriculum and extracurricular activities, enhancing the learning experience for students.
Managed classroom dynamics effectively, promoting a positive and productive educational environment.
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PhD
Machine Learning, Computer Vision
Courses
Thesis: Vision based disparity estimation and landing site selection for Multi Rotor UAV platforms
Supervisor: Dr. Shashi Poddar (Principal Scientist CSIR-CSIO Chandigarh)
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MTech
VLSI Design
Courses
Thesis: Design of 6T SRAM Cell and logic gates using Memristors
Supervisor: Mr. Deepam Dubey (Scientist NIELIT)
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BTech
Electronics and Communication Engineering
Awarded By
IEEE CSIR-CSIO Chandigarh
Recognized for outstanding contributions and leadership in volunteer activities.
Awarded By
Electronics and Communication
Qualified in the highly competitive Graduate Aptitude Test in Engineering in Electronics and Communication in 2019 and 2020.
Published by
IIT Delhi
Summary
Developed and presented a monocular depth estimation architecture for UAV aerial images, leveraging ViT and GraphSAGE techniques (preprint available).
Published by
Springer Nature Singapore
Summary
Authored a chapter providing a comparative analysis of disparity estimation architectures for aerial datasets, published in 'AI and ML Techniques in Image Processing and Object Detection'.
Published by
SPIE Future Sensing Technologies Yokohama, Japan
Summary
Co-authored a publication on advanced methodologies for UAV landing site selection in complex, unknown environments, presented at SPIE Future Sensing Technologies.
Issued By
IIT (NPTEL)
Issued By
IIIT Hyderabad
Issued By
IIIT Hyderabad
Issued By
IIT Delhi
Issued By
IIT Hyderabad and CDAC
Issued By
NIELIT
Python, CUDA.
Computer Vision, Deep Learning, Graph Neural Networks (GNNs), Transformers, Depth Estimation, Simulation-to-Real Transfer, Dataset Engineering, PyTorch, TensorFlow.
UAV Perception, ROS (Robot Operating System), Gazebo, Autonomous Navigation, Sensor Fusion.
OpenCV, Blender, Linux, Git.
Arduino, Raspberry Pi, VLSI Design, Memristors, GPU Direct Storage.
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Summary
Developed a monocular depth estimation system utilizing a Region Transformer and Graph Neural Networks for aerial depth perception.
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Summary
Created an end-to-end ROS-Gazebo dataset pipeline for simulation-to-real-world UAV perception.
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Summary
Focused on model compression and knowledge distillation for onboard inference in UAV deployment.
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Summary
Explored self-supervised geometry learning using Graph Reasoning and NeRF-based 3D Consistency.
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Summary
Developed a project on GPU Direct Storage during MTech, optimizing data transfer between storage and GPU.
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Summary
Designed a smart wearable device for continuous heart rate monitoring during MTech.
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Summary
Implemented a natural language processing project for parts of speech tagging.
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Summary
Created a real-time text-to-speech conversion system.
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Summary
Developed a 3D ultrasonic surface scanner using HcSR04 and Arduino UNO.
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Summary
Developed a security system featuring a password-protected circuit breaker.
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Summary
Created a smart lock system utilizing Raspberry Pi for enhanced security and automation.