Focused on Generative AI, LLM-based systems, and efficient ML pipelines, with a strong foundation in data structures and problem solving.
I am a 3rd-year B.Tech student specializing in Artificial Intelligence and Machine Learning, focused on building practical and scalable AI solutions.
My work primarily revolves around AI/ML, including areas like Generative AI, Large Language Models (LLMs), and deep learning, where I explore how intelligent systems can be applied to solve real-world problems.
Alongside this, I have a strong foundation in Data Structures and Algorithms (DSA), which helps me approach problems in a structured and efficient way. Through academic and independent projects, I have gained experience in developing models, running experiments, and evaluating their performance.
I also enjoy learning new skills in my free time and continuously work on improving myself. I am comfortable working in collaborative environments and enjoy contributing to team-based projects.
RL-based healthcare scheduling system for fog-cloud environments, using a GNN-RL approach and benchmarked against DQN, Hierarchical DQN, and Random Allocation. Optimized for latency, energy efficiency, SLA compliance, and overall system reward.
AI-powered storytelling application using GPT-4 and geolocation to generate real-time, context-aware narratives, with interactive features like quizzes and achievements.
Multimodal fake news detection system using RoBERTa (text) and Vision Transformer (images). Combines textual and visual features for classification on the Fakeddit dataset, evaluated using accuracy, F1-score, and AUC.
Deepfake detection system combining CNN, FFT, and Transformer to capture spatial, frequency, and contextual features for classifying real vs fake video content.
Specialization in Artificial Intelligence & Machine Learning
Competition Achievement
Ranked 48th among 600+ teams and actively participated across multiple editions, focusing on solving real-world AI/ML problems in a competitive environment.
Innovation & Research
Secured 16th position among 125+ shortlisted teams, presenting an AI/ML-based project with emphasis on practical implementation and impact.
Collaborative Development
Participated in a collaborative hackathon environment, working on innovative problem-solving and team-based development under time constraints.
Open to AI/ML internships, research collaborations, and opportunities to build real-world intelligent systems.
Location
Greater Noida, India