Projects
When does misalignment emerge during RLVR?
BlueDot Impact, Technical AI Safety Project · 2026 – ongoing
Reinforcement learning with verifiable rewards (RLVR) is the training recipe behind today's reasoning
models, but nobody really knows when (or how) misaligned behavior appears along the way. My approach is
simple: take intermediate checkpoints of an open-weight model (OLMo-3), evaluate each one, and map where
the misalignment starts relative to the capability gains. I am also training linear probes on the
checkpoint activations, to test whether the internal signals of misalignment appear before the behavior
does. If they do, that gives a cheap early-warning monitor, i.e. a way to flag problems before they show
up in the outputs.
AI safety
Model internals
RLVR
Linear probes
PyTorch
Optical Ising machine for physically solving PDE dynamics
Sandia National Laboratories, Center for Integrated Nanotechnologies · 2026 – ongoing
Simulating the dynamics of nonlinear partial differential equations gets expensive quickly on digital
hardware. I am building an optical optimizer (an Ising machine) that physically solves the dynamics of
the Cahn–Hilliard equation, the workhorse PDE of phase separation. Instead of numerically stepping
through the equation, the optics itself does the computation. For large systems, this can potentially
give a ≥9× gain in both speed and energy cost.
Ising machines
Optical computing
PDE dynamics
Statistical physics
Near real-time faint-object detection on GPUs
Zetascope LLC · 2026
Detecting faint moving objects is hard when the per-frame signal sits below the noise floor; you have to
integrate the intensity along millions of candidate trajectories, which is a brute-force compute problem.
I developed a low-power, field-deployable detection pipeline that runs in near real-time on quantum
shot-noise-limited images. I hand-optimized the CUDA C++ kernels for the NVIDIA Blackwell GPU, using
memory-hierarchy and roofline analysis to guide the optimization, and cut the runtime by ~108×.
CUDA C++
Kernel optimization
Roofline analysis
Edge deployment
Deep-microscopic optical band theory of chiral tellurium
Purdue University, Jacob Group · 2024 – 2025 · Phys. Rev. B Letter, Editor's Suggestion
Tellurium's optical activity is known experimentally to diverge near the band edge, but decades of
first-principles attempts failed to reproduce it. The reason is that optical gyrotropy is intrinsically
a finite-momentum effect. I built the first fully quantum, lattice-resolved optical band structure of
chiral tellurium, solved the dispersion problem with quantitative agreement against experiment across
the mid-infrared, and found hidden optical waves and optical spin textures inside the lattice.
Alongside the theory, I co-authored Purdue-PicoMax, an open-source C++ package for
nonlocal optical response in crystals. It reaches ~5× lower error than existing methods, and its
predictions were later validated by electron-energy-loss measurements.
First-principles theory
C++ scientific software
Sparse eigensolvers
Condensed-matter optics
Quantum theory of structured light
Purdue University, Jacob Group · 2022 – 2024 · New J. Phys. & JOSA B
I settled a long-standing debate on the correct quantum commutation relations for the angular momentum
of light; at the center of it sits a widely propagated textbook error. The tutorial I wrote on this was
JOSA B's most-downloaded article for three consecutive months. I also built the first quantum field
theory of spatiotemporal optical vortices beyond the paraxial limit, which predicts a previously
unrecognized, experimentally accessible quantum fluctuation in their orbital angular momentum.
Quantum field theory
Quantum optics
Orbital angular momentum
Quantum sensing with NV centers in diamond
Purdue University, Jacob Group · 2021 – 2022 · multiple co-authored articles
I built experimental infrastructure for single spin-qubit control and readout: I co-designed a cryogenic
confocal microscope for optically-detected magnetic resonance, created shallow NV defects (~30 nm from
the surface) via ion implantation and annealing, and developed a GHz phase/amplitude modulation setup
for spin-textured light using temperature-controlled fiber Sagnac interferometry. This infrastructure
underpins published measurements of photonic spin texture with NV-center quantum sensors.
Spin qubits
ODMR
Cryogenics
Nanofabrication
Interferometry
Microwave resonators for cryogenic spin spectroscopy
IISER Kolkata, Mitra Group · 2019 – 2021 · J. Phys. D & IOP SciNotes
I designed (CST Studio), fabricated (UV photolithography), and characterized two on-chip microwave
resonators: a short-circuited coplanar waveguide, and a localized spoof-surface-plasmon structure. These
were the field-concentrating elements of home-built electron spin resonance spectrometers, operating from
room temperature down to 10 K.
RF/microwave design
EM simulation
Photolithography
ESR spectroscopy