# About

• Architected an agentic ad-campaign generator for Hyundai: LLM-driven concept generation feeding an image-synthesis pipeline, with identity-lock prompt engineering that cut hallucination artifacts by 30% while preserving brand fidelity.
• Developing a visualizer agent for Kajaria that lets users upload their own floor/room images and preview 60+ tile SKUs with realistic 2D-to-3D visualization.
• Built an autonomous MarTech discovery agent (FastAPI + Next.js) that uses weighted rubric scoring across India's startup ecosystem for real-time discovery, validation and scoring of partners and competitors.

// projects: [ScoutINNtelligence] [AdINNtelligence] [Creative Intelligence Engine] [Kajaria Tile Visualizer]

• Building an AI study platform for UPSC aspirants that analyses previous-year questions (PYQs), General Awareness material and the latest news to surface the questions and topics most likely to matter.
• Transcribe educator video explanations (Hindi/Hinglish) with Whisper and align them to news articles using multilingual sentence embeddings, marking important topics alongside the supporting news snippets and transcript excerpts.
• Distilling an educator's teaching style into a reusable style guide that conditions LLM-generated explanations, with resources in Hindi, English, Bengali and Tamil.
• Designing an interactive LLM interface where students can explore a topic and discuss related topics further.

• Orchestrated end-to-end NLP/LLM pipelines for government grievance platforms, reducing manual review time by 60% through automated complaint summarization, classification and semantic routing.
• Engineered hybrid semantic-lexical search with contextual LLM re-ranking for precedent discovery, reducing case resolution time by 45% while maintaining 95%+ relevance.

// projects: [ES-RAG Grievance Retrieval] [Evidence Analysis]

• Developed a radar-based drone classification model using multi-frequency (26–40 GHz) RCS measurements with cubic spline interpolation.
• Achieved 96.6% accuracy in drone type prediction using spline-interpolated RCS patterns across phi–theta angles.
• Trained a YOLO-based model for visual drone detection and evaluated it across varied environmental conditions, as groundwork for radar–vision fusion.

// projects: [Radar Drone Classification]

• Built a voice-enabled, AI-driven abacus learning portal with speech recognition and personalized tutoring to raise student engagement.

• MAITRI (PS 25175, Space Tech): multimodal assistant that reads astronauts' voice and facial cues for stress and fatigue, responds with supportive dialogue and escalates health risks to ground control, fully offline.
• Early dementia detection (PS 25226, HealthTech): screening app that scores speech, memory-task and behaviour signals into a personal risk score with clinical referral alerts.
• Built a PM Internship Scheme recommender that ranks listings by skill match, education level and keywords (Flask + React).

• Coursework: Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Data Structures & Algorithms.