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I am a research-focused engineer with a strong mathematical foundation in Linear Algebra, Probability, and Convex Optimization[cite: 10]. Backed by a B.Tech in Computer Science from PDEU (8.58 CGPA) [cite: 13], I specialize in bridging the gap between theoretical AI research and scalable, high-impact industrial deployment[cite: 11]. "I view my career as a continuous process of intellectual expansion, driven by a philosophy of consistent iteration." [cite: 259, 262] |
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- 🏢 JSW MG Motor India | [cite_start]AI Intern (Manufacturing & VAVE) [cite: 15]
- [cite_start]Architected a GPU-accelerated Multimodal RAG pipeline integrating GPT-3 and Salesforce BLIP for automated cost-analysis[cite: 17].
- [cite_start]Engineered a semantic search pipeline using FAISS and MiniLM on 15,000+ documents, achieving <100ms latency[cite: 18].
- 🛡️ Indian Army / Maharishi Industries | [cite_start]AI & Product Engineering Intern [cite: 22, 26]
- [cite_start]Designed a defense-grade, GPU-accelerated surveillance system on NVIDIA Jetson Orin for real-time autonomous threat detection[cite: 26, 29].
- [cite_start]Achieved 97.8% evaluation accuracy by developing Transformer-CNN fusion models and integrating military radar and thermal sensor suites[cite: 26, 27].
- 🔬 IIT Bombay | [cite_start]Data Science Research Intern [cite: 34]
- [cite_start]Processed 100GB+ of raw telematics data, utilizing YOLOv10 and ReDTR to model complex driver kinematics[cite: 38, 39].
- [cite_start]Demonstrated the superiority of deep learning sequence models (LSTM, BERT) over classical baselines, achieving 90-92% accuracy[cite: 42, 43].
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