Yashas Bysani Muralidhar

I build the systems that can't be wrong.

Senior Software Engineer | Distributed Systems & AI Infrastructure

Owning $150B+ in modernized retirement assets and a first-of-its-kind $14B+ crypto reporting platform — architected for planet-scale reliability and zero-tolerance regulatory accuracy, accelerated by frontier-model tooling.

Eight years inside high-stakes, fault-intolerant environments — architecting distributed, cloud-native platforms end-to-end. From migrating massive legacy datasets to engineering real-time, cross-platform reconciliation, I pioneer LLM-driven automation to harden system resilience and accelerate how enterprise infrastructure is built.

Skills

Technical Expertise

Distributed Systems & Architecture
Distributed Systems & Architecture
MicroservicesEvent-Driven DesignMessage BrokersApache KafkaRabbitMQPlatform AbstractionsHigh Availability (HA)Fault TolerancePublic APIs
AI & Automation
AI & Automation
ClaudeOpenAICodexRAG Pipeline ArchitectureLLM-Driven AutomationFrontier Model Tooling
Cloud & Infrastructure
Cloud & Infrastructure
AWSLambdaDynamoDBEC2S3RDSSQSSNSEventBridgeElastiCacheKubernetesDockerTerraformAPI Gateways
Data & Storage
Data & Storage
DynamoDBS3 + ParquetRDSMySQLMongoDBDistributed Caching (Redis)
Observability
Observability
DatadogSplunkPrometheusGrafanaDistributed TracingLog AnalyticsMTTR Optimization
ELD & Languages
ELD & Languages
Technical Bar-RaisingMentorshipCross-Functional RoadmapsAgile/Scrum DeliveryCI/CDAutomated Test ArchitectureJava 21Spring BootSpring SecurityAngularReactTypeScriptNode.jsRedux

Featured Engineering Exploits

Not projects. Systems that had to hold.

The Legacy Modernization

RMD — Mainframe-to-Cloud Modernization

2024 – 2025

The IRS-regulated Required Minimum Distribution platform — serving 6M+ retirement accounts and $150B+ in assets — was running on a legacy mainframe that needed to move to the cloud without disrupting a system with real tax consequences for retirees.

6M+

retirement accounts modernized

$150B+

assets under management modernized

350+

REST APIs owned

Read the case study

The Greenfield Launch

Crypto Staking & Blockchain Reporting

2025 – Present

Fidelity was launching a suite of crypto funds—FBTC (~$22B AUM), FETH, and FSOL—and required real-time custody and staking reporting across multiple enterprise custodians. No internal system existed to build from, and there was no market equivalent to reference at launch.

$14B+

Digital Assets Secured Across Custodians

100+ BTC / 10,000+ ETH

Processed Monthly

150+

REST APIs Designed for Validator Monitoring

Read the case study

Frontier Tech / AI

Frontier Tech / AI — RAG Documentation & LLM Log-Triage

2025 – Present

Platform documentation for the crypto reporting system was manually authored and rapidly falling out of date. Simultaneously, the on-call support team faced 100,000+ monthly distributed failure events with no automated way to cluster or triage them, severely slowing incident resolution during peak failure volumes.

250+

Pages of Documentation Autonomously Restructured

98%

Structural Accuracy on RAG-Generated Docs

100,000+

Monthly Failure Events Auto-Clustered

Read the case study

Engineering Culture & Leadership

Setting the technical bar, org-wide.

Beyond my own systems, I shape how the organization hires and builds. As a core technical bar-raiser, I design the evaluation rubrics and coding assessments behind 90+ technical interview loops spanning distributed system design, Java architecture, and database optimization — then mentor junior interviewers to hold that same bar. I've calibrated hiring standards across cross-functional teams for cloud-native problem-solving and modern frontend frameworks, shaping the funnel from first phone screen to final decision for every senior-level, full-stack, and platform engineering hire.

90+

technical interview loops shaped

Org-wide

evaluation rubrics designed & calibrated

Cross-functional

hiring pipeline architected

Experience Timeline

8+ years, one standard: correctness.

  1. Jan 2021 – Present

    Senior Software Engineer

    Promoted from Software Engineer

    EY

    Delivered enterprise financial platforms across Citi Group and Raymond James as a Software Engineer, then transitioned into Fidelity's fund administration engineering organization — leading a Java Spring Boot backend migration that delivered a 20% performance gain and consolidating 6 legacy Angular applications into one unified platform for 5,000+ internal users. Promoted to Senior Software Engineer in Aug 2023, now owning full-stack delivery across three Fidelity Investments platforms — a first-of-its-kind crypto reporting platform for Fidelity's ETF suite, IRS retirement cloud modernization, and SEC regulatory reporting — plus the frontier-model tooling built to harden and accelerate them, and org-wide technical bar-raising.

  2. Sep 2020 – Jan 2021

    Software Developer

    I2 Infotech, LLC

    Built secure Azure resource-automation tooling in Java, Spring Boot, and Spring Security, containerized with Docker and deployed through Jenkins CI/CD pipelines.

  3. Aug 2020 – Sep 2020

    DevOps Engineer III

    CentralSquare Technologies

    Automated AWS infrastructure provisioning with Terraform and Ansible for inter-API communication, cutting deployment time by 30% through a fully automated GitLab CI/CD pipeline requiring zero manual intervention.

  4. Oct 2019 – Aug 2020

    Software Developer

    SITA

    Redesigned airport kiosk and admin-dashboard UIs in React, Angular, and C#/.NET, and built a multi-threaded barcode-validation service that cut fraudulent boarding attempts by 80% across all terminal checkpoints.

  5. Dec 2018 – May 2019

    Software Engineer

    GreenHills Ventures

    Built a React and Java crypto e-wallet platform serving 10,000+ users, integrating the J2Pay library to support multi-method cryptocurrency purchases across desktop, mobile, and tablet client applications.

  6. Jun 2018 – Dec 2018

    Software Developer in Test

    NYC Department of Sanitation (DSNY)

    Automated Selenium and Java end-to-end test coverage across three browsers, cutting regression-testing time by 35% through parallelized, Jenkins-driven Selenium Grid execution across the full release pipeline.