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Building quantum-era air & space defence at Space Protocol
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AI, Computer Vision, and Blockchain researcher with a passion for space. Leading SpaceProtocol.org, where we're applying cutting-edge technology to address space debris and safety. Our blockchain-based platform, powered by AI and orbital dynamics expertise, is revolutionizing space data management and creating a safer cosmos.
Stanford University Graduate School of Business
Scholarship Candidate at Stanford IGNITE - Global Innovation & Entrepreneurship Program, Entrepreneurship/Entrepreneurial Studies
N/A – Present
International Institute of Information Technology Bangalore
Master of Technology (M.Tech.), Information Technology (specialization in Computer Science)
N/A – Present
University of Adelaide
Doctor of Philosophy - PhD, Artificial Intelligence, Computer Vision, Space Tech
N/A – Present
Space Protocol
CEO | Co-Founder
July 1, 2023 – Present
Adelaide, South Australia, Australia · Hybrid
Career Break
Health and well-being
September 1, 2021 – September 1, 2022
Adelaide, South Australia
ANIXR (previously ClearVid.io)
CEO | Founder
July 1, 2018 – September 1, 2021
Adelaide, South Australia, Australia · On-site
CureSkin: AI Dermatologist on your smartphone
Artificial Intelligence Consultant | Founding Employee
December 1, 2016 – August 1, 2017
Bengaluru Area, India · Hybrid
Welfie Technologies Pvt. Ltd.
Co Founder | CEO
October 1, 2015 – December 1, 2016
Bengaluru, Karnataka, India · On-site
Siemens Research and Technology Center
Research Engineer
September 1, 2013 – October 1, 2015
Bengaluru Area, India
Sorting Numbers using Spiking Neural Networks
May 1, 2015 – August 1, 2015
Constant time sorting algorithms like CH sort and TLT sort have been ported from artificial neural network (ANN) space like to spiking neural network (SNN) space. The designed networks have been tested using CARLSim emulator which can eventually be used on a commercially available neuromorphic chips like IBM’s TrueNorth. This work has been accepted for publication at IJCNN, WCCI 2016, July, Vancouver, Canada.
Parceive
September 1, 2013 – October 1, 2015
The advent of multicore processors poses an urgent need for tools to parallelize legacy software. Automatic parallelization methods are usually limited to the instruction level or to simple loops. However, identifying parallelism in industrial applications additionally requires deep program comprehension. To solve this problem, we propose Parceive, an interactive tool that aids parallelization of software at various granularity levels. Parceive uses dynamic binary instrumentation to trace programs written in C/C++. The collected data dependencies and profiling information are then analyzed to visualize potential parallelization candidates. This approach helps developers to comprehend the application and to parallelize their software.
Thesis on Object Detection in 2D Images
January 1, 2013 – June 1, 2013
Two new algorithms have been developed for giving a scenario description of an image by detecting objects in it. Latest techniques like Maximum Margin Correlation Filter, Hierarchical Image Segmentation and Support Vector Machines have been used. This work has been published at NCC 2014 held at IIT Kanpur, the leading national conference on communications, signal processing and networks.
Intelligent Question Generation Framework
October 1, 2012 – December 1, 2012
It focuses on creating a virtually infinite mathematics and physics questions bank with intelligent choice of answers. It reduces the effort in populating the database with repeated questions of different data for creating different question sets. While increasing the memory efficiency, it creates a unique question for the user every time.
Blind Navigation System using Indoor Wifi Signal Strengths and Location Snapshots
August 1, 2012 – November 1, 2012
It aims at predicting the location of the person using the available WiFi signal strengths and images of the location. To detect the location, the system has been trained by classifying the location’s WiFi data by back propagation algorithm and matching the input image with the images in the database with David Lowe’s SIFT algorithm. The system can also detect walls to avoid collision.
RSS Feed based News Collector and Segregator
February 1, 2012 – March 1, 2012
Created a news portal which subscribed the RSS feed of various news sites and displayed the acquired news in the portal. An XML parser parsed all the RSS feeds and stored them in the database. Then these documents were inputted to Solr in more structured form. All the news acquired was displayed in the portal while Solr was used for clustering and searching purposes.
Desktop Search Engine
February 1, 2012 – May 1, 2012
This works on the principle of inverted indexing. Indexing is done in a content addressable way for fast searching. Users can search based on keywords they want or they don’t want. This intelligent system rank results on term weights and co-occurrence and can recommend queries based on spelling correction, similar sounding words and co-related words. It uses structured text database for fast file search instead of SQL. The project was implemented using C language.
Mifos 2.2 On Cloud (SAAS)
January 1, 2012 – April 1, 2012
Mifos is software used by Micro finance companies. In its basic form it can be used only by a single bank. It was deployed on UEC (Ubuntu Enterprise Cloud) and multiple instances were created so that multiple banks can checkpoint the application state and resume it from the cloud.
A Model Pothole Detection System
May 1, 2011 – July 1, 2011
A prototype of a pothole detection system was created by strategically mounting a cross-hair line laser, webcam and beagle bone on a remote controlled toy car. The webcam sensed the irregularities of the projected laser line to detect the pothole. The system, if mounted on a real car will be able to detect potholes in the road at 20fps i.e., for a car moving at 100 kmph, it can scan at the rate of 1.35 mps.
Fundamentals of Digital Image and Video Processing
Coursera Course Certificates
June 24, 2026 – Present
Computational Neuroscience
Coursera Course Certificates
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from parallel computing to AI in finance and space tech, indicates a broad intellectual curiosity and adaptability. Their entrepreneurial journey and self-directed learning during a career break suggest a proactive and innovative mindset. While the target role is 'Data Analyst', the candidate's experience leans heavily towards research, AI/ML engineering, and leadership, which might indicate a potential mismatch if the data analyst role is purely operational. Their experience with startups and cutting-edge technology suggests a fit for dynamic, fast-paced environments.
Soft Skills & Operational Fit
The candidate's entrepreneurial background highlights strong leadership, strategic thinking, problem-solving, and communication skills. The career break description also showcases self-discipline, continuous learning, and diverse interests, which can contribute positively to team dynamics and adaptability. However, the focus on CEO/Founder roles might suggest a preference for high-level strategic work over day-to-day data analysis tasks, which needs to be validated.