curiosity.grit.execution

Srikar Sribhashyam

I want machines that remember the way people do — not as a pile of similar text, but as facts that begin, hold, and end.

Being

How I show up.

I get interested in how things actually work. Surface answers don't last — I want the mechanism, where it breaks, and whether the usual line is even right. I don't trust a title on its own, and I don't reject one for sport. I lift. I eat my way through Bangalore. I try to keep a rhythm, because curiosity that never ships is just a hobby. I spread too thin. I overthink decisions. I get impatient with slow compounding. I'm working on staying in the problem anyway.

Ambition

Hard problems, on purpose.

I want to spend my time on hard problems that are worth solving — the kind that stay ugly for a long time and matter if they ever yield. Agent memory that lasts. Products that hold up when a stranger uses them. Less theater, more systems that survive contact. That work does not happen in a clever week. It takes grit: showing up, shipping the next honest version, and not decorating a toy.

Big important problems don't care that you understood them. They care that you stayed long enough to solve them. That's the bet I'm making with my years: pick the hard thing, tackle it, and keep going until it is actually solved.

Work exp

Shipped, with receipts.

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Data Scientist

SG Analytics (Straive) · Bengaluru · Jul 2025 — present

  • Fifteen-plus hypothesis tests and three hierarchical Bayesian models (MCMC, NUTS) for a global school-admissions funnel. Posterior convergence R̂ < 1.012, Pareto-LOO k < 0.6, forecasts through posterior predictive checks.
  • A slide system that refreshes templates, writes new decks, and lets a RAG-backed chatbot edit slides directly. LangGraph multi-agent work. Seventeen FastAPI routes. About 85% less manual deck time.
  • A sales-executive agent over structured sales data, week-level decision-tree forecasts, and causal graphs across regions. Reasoning quality up about 22% on the internal eval.

Data Science Intern (PPO)

Harman International · Bengaluru, remote · Jan 2025 — Jun 2025

  • DOM Distiller: a testing harness for the Genesis browser agent, extracting structured web elements and scoring whether the agent actually did the job.
  • Desktop automation with AutoGen, GPT-4o, and Playwright. Four-agent SWARM, fifteen-plus tools, about 45% less operational latency on legacy Windows apps.

Data Science Intern (PPO)

SG Analytics · Bengaluru · Aug 2024 — Dec 2024

  • Generalized PDF → Excel extraction for an ESG data provider. Detectron2 and DETR for tables, GPT-4o for context and hierarchy. More than eighty manual hours saved a week.

On the workbench

Four honest artifacts.

Query

Talk to a model grounded in this graph.

Not me in the room. A chatbot speaking as me — opinions included. It should not invent a biography. It should not jailbreak.

SrikarAsk about the work, or ask what I think. I have opinions. I will use them.