At a glance
Incoming at Tesla on finance, AI, and large-scale systems. In parallel I am in avionics at Skyroot on safety-critical AI and traceability, finishing an M.Tech. in Software Reliability (QRE) at IIT Kharagpur, and keeping peer-reviewed research on the same calendar as shipping work across GovTech and early startups.
Before that: LinkedIn, Scale AI, Samagra, IISc, and Mitacs—from huge data pipelines to graph work, misinformation studies, and open digital public goods. More story and papers live on Profile and the publication list on Corpus.

Places that shaped the craft
Triad
Treat tail risk, evaluation, and operator-grade UX as one system. QRE coursework and production scars share the same vocabulary.
Peer-reviewed work spanning game theory, cryptography, NLP pipelines, and data engineering. Corpus stays in sync with the public record.
From GovTech microservices to avionics benches: fewer hand-wavy diagrams, more measurable behavior under real constraints.
Lenses
Not a scatter plot of hobbies, but a single obsession with getting complex systems to behave under real constraints: latency, regulation, capital, and human attention.
AI & ML systems
Shipping models, data planes, and evaluation loops in production contexts.
Finance & quant
WorldQuant BRAIN (Gold), algorithmic trading coursework, pricing & risk intuition.
Reliability & safety
Formal reliability engineering, testing philosophy, and large-scale correctness.
GovTech & platforms
Samagra, C4GT, DMP mentoring: population-scale digital public infrastructure.
Research
Peer-reviewed threads from game theory and cryptography through NLP and data pipelines; IISc and Mitacs fieldwork; questions about evaluation, graphs, and reliability of modern AI stacks.
Aerospace
Skyroot avionics: signal integrity, verification, launch-adjacent software paths.
Journal
Longer essays live here; shorter notes also show up from Substack and Medium on the journal page. ✍️ Projects is where the really big programs get their own pages—timelines, links, and context that does not fit in one blog post. 🏛️