Oil Spill Detection (DeepHyperX)
Implemented an end-to-end oil spill identification model using a 3D convolutional framework (DeepHyperX) on hyperspectral and SAR imagery.
ML builder Β· Full-stack developer Β· Problem solver Β· Hyderabad, India
Top 1% in NPTEL Java (Elite + Gold)
From computer vision models to full-stack builds, I focus on measurable outcomes and fast iteration.
Deputy Head, DSAC Web Dev Club
I lead peer learning sessions on HTML, CSS, JavaScript, MERN, and open-source collaboration.
Implemented an end-to-end oil spill identification model using a 3D convolutional framework (DeepHyperX) on hyperspectral and SAR imagery.
Fine-tuned YOLOv8 Nano on PASCAL VOC 2007 and engineered a real-time inference engine.
Built an automated quiz generator that extracts YouTube transcripts and generates interactive quizzes with adaptive difficulty.
Focusing on data structures, algorithms, object-oriented programming, operating systems, and computer networks.
Laid strong foundational knowledge in programming paradigms, databases, and core computer science fundamentals.
Led club planning, coordination, and operations. Conducted hands-on bootcamps for 100+ students covering HTML, CSS, JavaScript, MERN stack, and open-source contribution practices.
Led a 5-member multidisciplinary engineering team to secure 1st place in the national-level hackathon. Structured task allocation, coordinated rapid development, and spearheaded the final winning pitch.
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