Quantum Computing, Quantitative Finance & Deep Tech.
Researcher and engineer bridging tensor network theory with production systems. Currently pursuing PhD in Quantum Computing at IIT Bombay, leading quantum research at Hero MotoCorp, and co-founding Rune Technology.
About
Technical depth across quantum systems, financial mathematics, and production engineering
Building at the Intersection of Theory and Practice
My work spans quantum tensor networks, reinforcement learning systems, and quantitative finance. I combine rigorous scientific methodology with production-focused engineering to build systems that scale from research to real-world impact.
Currently, I'm investigating quantum-inspired optimization for battery design at Hero MotoCorp, architecting quantum-enhanced trading signal systems at Rune Technology, and pursuing fundamental research in tensor network compression and quantum simulation at IIT Bombay.
My research interests focus on regime detection in complex adaptive systems, multi-objective reinforcement learning with constraints, and applications of tensor methods to classical engineering problems. I'm particularly interested in bridging the gap between quantum computing theory and near-term practical applications.
Education
Rigorous academic training in quantum physics, computational finance, and computer science
PhD in Quantum Computing
Research Focus: Quantum-Inspired Design Optimization using Tensor Networks. Investigating advanced mathematical modeling of battery design systems with emphasis on thermal dynamics, structural optimization, and manufacturing cost reduction through quantum-inspired algorithmic approaches.
Master of Science in Financial Engineering (MScFE)
Curriculum Focus: Quantitative finance theory, derivative pricing models, stochastic processes, portfolio optimization, and systematic trading strategies. Emphasis on mathematical rigor and practical implementation of financial models.
Master of Science, Computer Science
Thesis: Quantum-Inspired Optimization Based on Quantum Sampling Methodologies. Applications in airfoil structural optimization and three-dimensional structural topology optimization with comparative analysis against classical approaches.
Professional Experience
From quantum research infrastructure to production trading systems and automotive innovation
- Co-founded financial technology venture addressing alpha decay in public equity markets through quantum-enhanced signal generation
- Architected proprietary tensor network framework for high-precision investment signal generation
- Developed quantum-enhanced AI platform with rigorous validation against 2008 Global Financial Crisis and COVID-19 market stress periods
- Leading technical strategy for transition from classical to quantum-inspired infrastructure. 20% equity stake.
- Lead Advanced Digital Technology research focusing on quantum computing applications in automotive domain
- Battery design optimization using quantum-inspired tensor network methodologies
- Automated test case generation for FUSA/HARA frameworks using multi-agent generative AI environments
- Post-quantum cryptography solutions for vehicle-charger infrastructure and keyless vehicle architectures
- Led quantum computing division focusing on simulation industry enhancement
- Quantum annealing-based linear equation solvers for large-scale systems
- Quantum-inspired evolutionary algorithms (QIEA) for discrete optimization problems
- Structural topology optimization using quantum-inspired design optimization (QIDO)
- Founded initiative focused on Adaptive Knowledge Management (AKM) systems
- Quantum Machine Learning applied to data organization and knowledge graph construction
- Self-evolving knowledge graph architecture for dynamic information systems
- Technical content creation on quantum computing and deep tech methodologies
Research & Production Projects
Quantum systems, trading infrastructure, optimization algorithms, and applied AI
Quantum-Enhanced Trading Signal Architecture
Implemented tensor network-based signal generation system achieving 100% crisis detection accuracy across 12 major financial events spanning 2000-2024 period. Validated through rigorous backtesting against 2008 Global Financial Crisis and COVID-19 market stress scenarios with statistical significance testing.
Quantum-Inspired Battery Design Optimization
Applied quantum-inspired tensor network optimization to automotive battery busbar design. Advanced mathematical modeling of thermal dynamics, structural mechanics, and manufacturing constraints for cost and performance optimization.
Multi-Objective Reinforcement Learning Trading System
Engineered production ML+RL infrastructure with comprehensive backtesting framework, regime-aware portfolio optimization, and sector-constrained leverage management. Cloud-based pipeline on GCP with automated model deployment and monitoring.
Quantum-Inspired Optimization Algorithm (QIOA)
Developed deterministic optimization algorithms combining quantum-inspired principles with classical computation. Demonstrated performance improvements in structural topology optimization and aerodynamic design problems.
Quantum Sampling Optimization Framework
Investigated advanced quantum sampling methodologies for continuous and discrete optimization problems. Applications in airfoil structural optimization and 3D structural topology optimization with comparative performance analysis.
Post-Quantum Cryptography Implementation
Designed quantum-safe elliptic curve Diffie-Hellman (ECDH) implementations for automotive vehicle-charger infrastructure and keyless vehicle architectures. Future-proofing IoT and connected vehicle security against quantum threats.
Physics-Informed Neural Networks (Q-PINN)
Quantum-enabled architecture for physics-informed neural networks combining domain knowledge with neural learning. Applications in battery state-of-health estimation and vehicle thermal management systems.
Blockchain-Based Attendance System (Blockendance)
Developed distributed ledger system for secure, immutable educational record-keeping. Smart contract implementation for automated verification and cryptographic security with Byzantine fault tolerance.
Technical Expertise
Deep capabilities spanning quantum systems, AI, finance, and production engineering
Quantum Computing
Quantitative Finance
Machine Learning & AI
Production Systems
Domain Expertise
Programming & Tools
Let's Connect
Technical collaboration, research partnerships, or deep tech discussions
I'm interested in discussing quantum-classical hybrid architectures, tensor network applications to engineering problems, regime detection methodologies in complex systems, and systematic trading infrastructure.