300 K · Quantum Systems & Hardware Engineer
Calibrating, benchmarking and building the system software that turns fragile qubits into a usable QPU.
From the pulse on the line to the job in the queue.
I work at the layer where physics meets software: characterising qubits, closing calibration loops, and benchmarking processors so the numbers people quote actually mean something.
I’m Technical Lead for Quantum Systems Software at QpiAI, leading the stack from SDK and compiler toolchain to the quantum OS/runtime and control firmware. My path ran from RF and antenna design in electronics engineering, through quantum algorithms and error detection, to an M.Tech in Quantum Science & Technology at IIT Jodhpur. I’m a Qiskit Advocate and have mentored 550+ students through QWorld.
Automated calibration pipelines — spectroscopy, Rabi / Ramsey, readout discrimination — feeding live device characterisation back into transpilation.
Measuring what a processor can really do: randomized benchmarking, cross-entropy and volumetric metrics, and cross-vendor comparisons on real QPUs.
SDK, compiler toolchain, quantum OS / runtime and control firmware — hardware abstraction, native-gate compilation, job scheduling and error mitigation, integrated end to end.
Industry, research, education and the communities that got me here.
Indian Institute of Technology Jodhpur
GPA 8.52 / 10. Quantum information & computation, open quantum systems, quantum algorithms, device-independent quantum technologies, classical & quantum ML.
BNM Institute of Technology, Bengaluru
GPA 8.37 / 10, First Class with Distinction. VLSI, digital communication, information theory, network security.
GPA 9.3 / 10.
Open-source contributor and mentor: events, Qiskit contributions and educational content for the community.
Guided a community of 550+ students; ran QBronze / QSilver workshops, coding sessions and events.
Tutorials and mentoring in IoT, wireless sensor networks, ML and embedded systems.
Benchmarks, algorithms and hardware.
Master’s thesis, IIT Jodhpur (Dec 2024 – May 2025). QAOA portfolio-optimisation solver for financial knapsack problems with adaptive, warm-start and quantum-walk mixers under realistic noise. Approximation ratio 0.92 (10 stocks) and 0.80 (20 stocks).
VQE, QAOA and quantum annealing for vehicle routing, benchmarked across IBM simulators, IBM QPUs and D-Wave against a classical CPLEX baseline.
Flexible antenna on jeans textile and FR4 at 2.3 / 2.66 GHz for remote health monitoring — designed, simulated (CST) and fabricated. Published at IEEE IITCEE 2023.
Capstone, IIT Jodhpur. How expressibility, entangling capability, parameter variance and dataset characteristics shape the accuracy and scalability of QNNs, QCNNs and QSVMs.
QML course project, IIT Jodhpur. Binary classification on citrus and MNIST data with Qiskit’s EstimatorQNN and SamplerQNN, comparing custom encodings and ansatz choices.
Automated preprocessing, training, evaluation and deployment with ZenML orchestration, MLflow tracking and a Streamlit front end.
Sequence similarity and tensor-based moment-of-inertia embeddings of protein sequences to rank candidate T2DM genes.
Quanvolutional layers inside a classical CNN transfer-learning pipeline for medical images, compared against a classical baseline.
Variational quantum classifier evaluated with SecML as the inference engine for mobile malware detection.
Hiding secret text in a cover file using BB84-style encoding, characterising noise across three hardware backends.
QR codes generated from Bernstein–Vazirani outputs on quantum hardware. 7th place, QC Hack 2021.
CloudxLab internship. dlib face descriptors with Euclidean and Mahalanobis similarity to match portraits to celebrity look-alikes (98.38% similarity).
IEEE CONNECT 2024 · IEEE Xplore · 2024
Applied Quantum Computing, BON View · 2023
IEEE IITCEE 2023 · IEEE Xplore · 2023
ICIITCEE 2023, Bengaluru · 2023
QIntern21 Student Session, QWorld · 2022
IEEE BNMIT Technical Seminar · 2022
Recognition, and how to reach me.
10 mK · Mixing chamber — where the qubits live
