THWIP!
An infinite web of developers. But you're looking for the anomaly.
"Building intelligence, one tensor at a time."
I am an AI/ML Engineer dedicated to bridging the gap between cutting-edge research and high-performance production environments. Currently pursuing my B.Tech in Artificial Intelligence and Machine Learning, my focus is on architecting intelligent systems that are not just accurate, but scalable, efficient, and operationally robust..
YOLOv8 for vision + PPO for path planning. Accelerated via TensorRT to hit 240 FPS on edge hardware. 94% obstacle avoidance.
CVAE-based generative model using the reparameterization trick to "relight" images in fog/night for autonomous cars.
Multi-modal health AI. CNNs for X-rays + LangChain/GPT-4 for a zero-hallucination RAG clinical assistant.
VAE architecture mapping inputs into normal prior. Generates high-fidelity synthetic datasets maintaining GDPR compliance without exposing identities.
A comprehensive financial data analysis tool and prediction model focused on the Nifty 100 index.
An intelligent, voice-activated virtual assistant powered by generative AI models, capable of executing tasks autonomously.
An autonomous agent system designed to streamline and automate complex data workflows and streaming processes.
A computer vision-based application leveraging hand tracking for interactive, touchless user interfaces.
An intelligent music recommendation system that curates playlists based on emotion and sentiment analysis.
Deployed real-time cargo damage detection using YOLOv8 + TensorRT. Trained on 50k+ images achieving 96% precision. Containerized via Docker/K8s hitting sub-100ms latency.
Conducted in-depth data analysis and developed insightful dashboards to drive strategic business decisions. Leveraged statistical tools and data visualization techniques to uncover actionable trends.
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