Curriculum vitae

Download CV PDF

Education

Nov 2020 – Jul 2024

Indian Institute of Technology Roorkee

Thesis: Deep Learning Simulations for Phase Diagrams of Interacting Josephson Qubits, advised by Prof. Peayush Choubey.

Quantum and condensed-matter physics: Quantum Physics, Quantum Computing, Quantum Theory of Solids†, Elements of Condensed Matter Physics, Physics of Nanosystems.

Nuclear physics: Nuclear Physics & Applications, Nuclear Instrumentation†, Nuclear Astrophysics†.

Statistical physics, mathematics and machine learning: Thermal & Statistical Physics, Statistical Inference†, Stochastic Processes†, Numerical Analysis & Computational Physics, Mathematical Physics, Introduction to Machine Learning, Reinforcement Learning†.

† Postgraduate-level course.

Research experience

May 2026 – Present

Indian Institute of Science, Bangalore

  • Generative diffusion models for non-reciprocal turbulence
  • Follow-up to the 2D XY study (ongoing)

Details

Jan 2026 – Apr 2026

Independent research

  • Manifold-aware score-based generative modeling of the 2D XY model
  • Courtroom-inspired verification of financial misinformation

Details

Aug 2023 – Apr 2024

Indian Institute of Technology Roorkee

Details

May 2023 – Aug 2023

McGill University, Montreal

Details

Industry experience

Jul 2024 – Dec 2025

OLA Krutrim, Bangalore

  • LLM fine-tuning and preference optimization
  • Retrieval-augmented generation platform
  • Model-as-a-Service: Embedding and reranking models
  • Video analytics at scale

Details

Publications

Skills

Generative modeling

Diffusion models (DDPM, DDIM, probability-flow ODE, score-based models on manifolds); conditional GANs

Language and sequence models

LLM fine-tuning (LoRA), preference optimization (SimPO), transformer encoders (ModernBERT), recurrent networks (BiGRU), retrieval-augmented generation

Reinforcement learning

Deep Q-learning; contextual bandits (ellipsoid method, EXP4)

Scientific computing

Monte Carlo methods (Metropolis, simulated annealing), Langevin dynamics and MALA, ODE samplers; Geant4-based particle transport (TOPAS, TOPAS-nBio); quantum circuits (QHED)

Software

Python, C++, PyTorch, TensorFlow; production ML serving (FastAPI, KServe, NVIDIA DeepStream); Flask, Celery, Redis, Milvus, Streamlit

Selected awards

2026

3rd place (as independent researcher), Reference-Free Financial Misinformation Detection Challenge

2026

GATE Data Science & AI: All India Rank 117 of 69,242 candidates

2024

Keynote Speaker, NextGen Indian Leaders – DWDG: addressed 200+ attendees on GenAI applications

2024

Department Rank 2, B.Tech. Engineering Physics, IIT Roorkee

2023

MITACS Globalink Research Internship, fully funded research at McGill University

2022

ENCORE Award for All-Round Excellence, IIT Roorkee Alumni Awards

Teaching and service

2022–2024

Student Mentor

Mentored 10+ first-year students.

2021

Undergraduate Teaching Assistant

Mathematics-I, for 70+ first-year students.

2021–2022

Deputy Cell Secretary

Led 25 executives and 50 volunteers supporting 100+ underprivileged students; received the ‘Best Cell Member’ award.