Shreyas H Shetty

I'm a passionate defense and AI technophile with a B.E. in Artificial Intelligence and Machine Learning, bringing together profound technical know-how of programming in Python, data visualization, prompt engineering, and hardware for computers with a deep technical know-how of military strategy and technology. My specialization lies in formulating defense strategy, researching global inventories of military (e.g., ships, air force, and missile systems by nations), and mastering the science and physics of weapons systems. I'm adept at planning fleets for war, designing offensive and defensive maneuvers, forecasting future trends of war, and war gaming to come up with counter-strategies for potential threats. With a specialization in nuclear subs, sensor sub-systems, air defense systems (SAMs, anti-ballistic missiles), military history (from battles to the Cold War), geopolitics, and current events, I'm capable of charting missile ranges, extracting weapons systems by geospatial imagery, and planning a fleet for optimization. Some of my projects are machine-learning based satellite image segmentation for land cover/use analysis, and mission planning/resource allocation for fighters by AI. Committed to utilizing AI for a better national security, I'm interested in positioning myself for innovative defense applications to gain asymmetrical advantage for nations involved in modern warfare.
My expertise closely matches state-of-the-art defense intelligence systems, for which I've constructed AI systems for multi-modal satellite imagery (EO, IR, SAR) processing to identify and categorize military objects such as tanks, radars, and warships. I have hands-on skills for constructing change-detection algorithms for observing enemy movements and for incorpotating sensor fusion methodologies for improved target identification during noisy or sparse-data scenarios. Further, my work on self-supervised learning aids model training under few labeled data, rendering me a good candidate for leading AI-based defense innovations.

Intern, DLithe, Bangalore, India, 01/2025 - 04/2025
Worked on projects related to AI and Data Science, on projects related to Python, ML methodologies, and real-time model creating. Worked on AI/ML projects for DLithe, such as detecting fake news and classifying images based on CNNs and NLPs. Primary focus was on an AI-driven mission planner for fighter jets, utilizing deep learning and GradIO for loadout auto-select and real-time, adaptively planning.

Intern, AICTE QIB-SIT, Karkala, 07/2024 - 11/2024
Worked on client-initiated projects for innovative thinking, new skill development, and catering to precise requirements.

Independent Researcher, Self-Directed, 2019 - Present (6+
Carried out deep research on defense planning, military-integration of AI, and new war technologies. Examined world military stock, weapons technologies, and AI-based nationalism for national defense, supporting sims and counter-strategy planning.

B.E. in Artificial Intelligence and Machine Learning, NMAM Institute of Technology, Nitte, 
Gained deep expertise in AI, machine learning, Python programming, and data visualization, with hands-on projects in satellite image segmentation and AI-driven mission planning.

12th Grade Science PCMC, Jawahar Navodaya Vidyalaya, Mangalore, 
Built a strong foundation in mathematics, physics, and computer science, supporting advanced technical and analytical skills in defense and AI applications.