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I'm an engineering student working across AI/ML, applied research, and data-driven systems — building software that turns raw, often messy data into something a system, or a person, can act on. Most of what I build sits at the intersection of research and engineering: designing models, building the pipelines that feed them, and shipping the interfaces that make the output usable. Recent work spans computer vision, NLP, and full-stack data platforms. I'm increasingly drawn to motorsport as an application domain. Race telemetry, tyre degradation modeling, and strategy simulation are, at their core, the same class of problem I already work on — extracting signal from high-frequency, high-stakes data. It's a direction I'm building toward, not a role I hold today. Currently focused on → applied ML research · data pipelines · systems engineering Building toward → applying AI and data systems to motorsport analytics |
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Sentiment Analysis
Responsible mental-health NLP pipeline with sentiment analysis, depression-risk inference, trajectory analysis, and uncertainty-aware simulation.
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PitWall
Open-source F1 race engineering platform for telemetry analysis, lap comparison, session analytics, and tyre strategy insights.
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CaseSync
AI-powered FIR documentation assistant for law enforcement, with speech-to-text transcription, multilingual (Bhashini) support, and entity extraction for structured case drafting.
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DomeWatch
AI-powered anti-drone security system that detects, classifies, and tracks unauthorized drones using computer vision for real-time airspace protection.
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Aether
Browser-native, GPU-accelerated particle and simulation engine driven by real-time webcam hand tracking — no controllers, no markers.
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Veyra
Evidence-grounded AI mock interview platform that tailors interviews to a candidate's resume and target job description, with structured, explainable feedback.
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Punah-Pustak
Full-stack second-hand book marketplace connecting buyers and sellers, with secure authentication, listings, search, and user profiles.
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Researching · building · iterating — toward AI-driven systems for motorsport.