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Utkarsh TiwariUT
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Utkarsh Tiwari

@utkarshtiwari2

HPC-Quantum Computing Research Fellow at C-DAC, integrating DFT and VQE for hybrid molecular simulation across real quantum hardware.

India
Message

At Centre for Development of Advanced Computing (C-DAC), I lead research on DFT-in-active-space embedding with VQE, integrating classical DFT and quantum solvers for hybrid HPC-quantum molecular simulation. I also migrated a Qiskit-based VQE pipeline to Quantinuum hardware via pytket.

At NLIP Lab, Indian Institute of Technology Hyderabad, I built an academic-paper retrieval pipeline using RAG, with structured extraction of findings, limitations, citations, tables, and images. I also developed document-processing and storage pipelines and evaluated hybrid dense and sparse retrieval.

At CybraneX Pvt. Ltd., I led a three-member research team and contributed to a hybrid quantum-classical pipeline for detecting mineral anomalies in satellite imagery. I worked on the backend and dataset for TerraQ, which showcases lithium and vanadium anomaly maps from a 6-qubit quantum autoencoder pipeline.

I built Litmus, a RAG strategy evaluation workbench, and vaak, a fully local multilingual voice agent. My work spans information retrieval, quantum computing, and AI systems, including real-QPU execution on IBM, Quantinuum, and Rigetti via AWS Braket.

Experience

Work history, roles, and key accomplishments

NLIP Lab, Indian Institute of Technology Hyderabad logoNH

Research Intern (NLP)

NLIP Lab, Indian Institute of Technology Hyderabad

Jan 2026 - Jun 2026 (5 months)

Conducted AI and data evaluation of culturally adapted mathematical content, assessing quality, cultural relevance, language, social context, realism, and coherence. Built an information retrieval pipeline for academic papers using RAG, ChromaDB, Elasticsearch, and Sentence Transformers.

AL

AI/ML Intern

Aryahs World Infotech (OPC) Pvt. Ltd.

Dec 2025 - Jan 2026 (1 month)

Developed a WhatsApp automation system for the marketing team, including job scheduling and privacy control features. Built an ML-based symptom classifier mapping user inputs to probable medical conditions.

Education

Degrees, certifications, and relevant coursework

SC

Shah and Anchor Kutchhi Engineering College

B.Tech, Electronics and Computer Science Engineering

2023 -

Grade: 8.17/10.0

Pursuing a B.Tech in Electronics and Computer Science Engineering with a CGPA of 8.17/10.0, expected to graduate in 2027.

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