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Focusing
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Achievement: Pull Shark

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Achievement: Pull Shark

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atharvajoshi01/README.md
Atharva Joshi field notes header

I work on machine learning systems that need to hold up in the real world.

That usually means some mix of regulation, latency, and reliability.

LinkedIn • Email • New York

What I Work On

Area What pulls me in
AI governance explainability, audit trails, fairness checks, policy-aware tooling
Quant systems order books, pricing, execution research, market microstructure
Agent evaluation measuring accuracy, latency, cost, and safety before something ships

I am less interested in building one more polished demo and more interested in building systems that survive constraints.

Selected Work

Project What it is
finreg-ml Governance-oriented ML wrapper for explainability, fairness, audit logs, and compliance-oriented reporting
agenteval Evaluation harness for agents with side by side comparison across accuracy, latency, cost, and safety
Atlas Order book engine with a C++ core and a Python research layer
deep-galerkin-pricing Neural PDE solver for option pricing

How I Like To Build

  • start from the failure modes, not the press release
  • keep the workflow clear enough that another engineer can audit it
  • prefer evidence over posturing
  • treat performance and correctness as product features

Open Source Work

These are actual public PRs.

Right Now

  • making regulated ML workflows easier to explain and review
  • treating agent evaluation like engineering work instead of theater
  • moving closer to systems where implementation detail matters

Contact

Pinned Loading

  1. deep-galerkin-pricing deep-galerkin-pricing Public

    Production-grade neural PDE solver for quantitative finance using Deep Galerkin Method

    Python

  2. mms-fault-classification mms-fault-classification Public

    Vibration fault classification dashboard

    Python 1

  3. agenteval agenteval Public

    Lightweight evaluation framework for AI agents — measure accuracy, cost, latency, and safety across any agent architecture

    Python

  4. finreg-ml finreg-ml Public

    Regulation-aware ML pipeline for finance — explainability, fairness audits, and EU AI Act compliance built into model training

    Python

  5. Atlas Atlas Public

    Low-Latency Order Book Engine with Predictive Execution - C++ core with Python ML pipeline

    Python

  6. crypto-stat-arb crypto-stat-arb Public

    Statistical arbitrage engine for cryptocurrency markets — cointegration-based pairs trading with walk-forward backtesting

    Python