CV

The short version. Full CV as PDF: academic · industry.

education

2023 – 2027

Ph.D., Computer Science · NTU Singapore

Thesis: Neurosymbolic Techniques for Safe and Efficient Reinforcement Learning
Advisors: Arvind Easwaran, Blaise Genest
2019 – 2021

M.Tech., Computer Science · ISI Kolkata

Thesis: Strategies for User Allocation and Service Placement in Multi-Access Edge Computing
Advisor: Ansuman Banerjee · Best thesis nomination (top 5 of batch)
2012 – 2016

B.Tech., Electronics & Instrumentation · NIT Silchar

Thesis: Real-Time Position Control of DC Motor using PID and Fuzzy Logic

2022 – 2023

Research Associate · CNRS@CREATE, Singapore

Granular control of microgrids with deep RL.
2021 – 2022

Machine Learning Engineer · InFocusp, attached to Google X

RL approaches to the Abstraction and Reasoning Challenge (ARC).
2021

Research Engineer · TiHAN, IIT Hyderabad

Drive-by-wire braking/throttle control; lane detection on NVIDIA AGX.

2026

Reinforcement Learning · Deep Learning Bootcamp, NTU

Lecture with hands-on notebooks. materials
FYP

Undergraduate final-year projects · NTU

LLM steering for safer embodied planning; programmatic policies from pre-trained models; robustness vs. explainability in CNNs.
URECA

Undergraduate research mentoring · NTU

Mechanistic interpretability of Decision Transformers; ARC with LLMs; physics-inspired model-based RL; residual RL.
F1Tenth

Mentor, autonomous racing team · NTU DeepSpeed

Built the ROS 2 race stack on Jetson AGX.