> Software Engineer · Trading Systems · Backend

Murali Ponnada

Backend Engineer focused on trading platforms, financial data workflows, and production reliability.

Software engineer with 5+ years building and supporting high-volume trading systems, regulatory reporting flows, and production backend infrastructure.

~1M
Trades processed daily
<1%
Processing error rate
~10%
Latency improvement
~8%
Incident reduction
~20%
Exposure accuracy gain
~100K
Daily trades impacted
Trading platform APIs Financial data workflows Regulatory reporting Kafka · AMPS · Quartz Observability & incident response High-volume backend systems Python · Java Production reliability Distributed messaging Capital markets infrastructure Trading platform APIs Financial data workflows Regulatory reporting Kafka · AMPS · Quartz Observability & incident response High-volume backend systems Python · Java Production reliability Distributed messaging Capital markets infrastructure

// about

Engineering production systems for capital markets

I'm a software engineer who builds and supports production systems at the intersection of capital markets and backend engineering - trading platforms, financial data pipelines, regulatory reporting, and the APIs and messaging layers that keep them reliable under load.

My recent work centers on equities derivatives trading infrastructure: real-time position APIs, regulatory data flows, high-volume trade processing, and observability across distributed services. I care about correctness under peak load, clear operational signals, and code that teams can maintain.

I'm actively seeking roles as a Software Engineer, Backend Engineer, or Quant Developer on trading platform, fintech, and capital markets engineering teams - building infrastructure, not trading strategies.

Harrison, NJ / New York City Metro Area

5+ years experience

What I build & support

  • Trading platform systems
  • Financial data workflows
  • Regulatory reporting flows
  • REST APIs & service design
  • Messaging systems (Kafka, AMPS)
  • Observability & production reliability
  • High-volume backend systems

Target roles

  • Software Engineer — trading platforms & fintech
  • Backend / Platform Engineer — capital markets
  • Quant Developer — quantitative finance infrastructure

// experience

Production engineering in financial systems

Software Engineer

Bank of America

Oct 2024 – Present

New York, NY

Equities Derivatives Trading Platform

  • Built and maintained APIs delivering real-time trade position data to downstream consumers, using parallel processing and caching to handle high request volume with low latency while protecting P&L and dividend workflows.
  • Led design and launch of a financial regulatory reporting flow within a legacy system — improving handling of instruments, transactions, and position data with zero SLA breaches during rollout.
  • Contributed to high-volume equities derivatives workflows supporting up to ~7M daily trade records, leveraging concurrency, Quartz scheduling for sub-second processing latencies, and caching to improve reliability and production stability.
  • Migrated messaging infrastructure across multiple servers, improving latency by ~10% and reliability by ~12% in critical trading workflows.
  • Implemented observability with Grafana, Kibana, and Splunk, reducing production incidents by ~8% and enabling faster root-cause analysis.
  • Partnered with product owners and cross-functional teams on deliverables; documented APIs and workflows to improve onboarding and reduce knowledge silos.
JavaPythonAMPSKafkaQuartzElasticsearchSplunkGrafanaKibanaDockerCI/CDDistributed Systems

Research Associate

Binghamton University

Jul 2024 – Oct 2024

Binghamton, NY

Brain Aging Study — Neuroimaging Data Analysis

  • Enhanced MATLAB pipelines to process raw brain scan sequences from 54 subjects into blood flow heatmaps for quantitative comparison.
  • Compared cerebral blood flow patterns across age and demographic segments, surfacing statistically meaningful insights on neural aging dynamics.
MATLABData AnalysisScientific Computing

Senior Systems Engineer

Infosys

Dec 2019 – Aug 2022

Hyderabad, India

CIRRUS — Middle Office Regulatory Reporting

  • Improved trade processing and end-of-day risk systems on the Quartz platform for Bank of America, resolving issues with currency conversions, FX trades, and trade record masking.
  • Enhanced valuations processing and event-type generation logic, improving exposure reporting accuracy by ~20%, reducing errors by ~30%, and increasing transaction reporting accuracy by ~10%.
  • Contributed to regulatory reporting workflows processing ~1M trades/day across FX, EQ, IR, and CR asset classes; resolved reporting issues affecting ~100K daily trades.
  • Implemented compliance coverage for CFTC, MiFID, HKMA, SEC, ASIC, and EMIR regulatory standards.
  • Served as Level 3 (L3) escalation point for production incidents; traced impact across hardware, network, and service operations.
  • Contributed to regulatory impact assessments and design reviews with stakeholders across asset classes.
PythonQuartzOracleRegulatory ReportingDistributed Systems

// projects

Selected work beyond trading systems

Side projects spanning computer vision, cloud systems, data analysis, and accessible healthcare applications.

Spotted Lanternfly Detection

Computer vision system built during a 12-hour Cornell University hackathon to detect spotted lanternflies and egg masses from consumer drone video feeds.

  • Trained YOLOv8 with custom detection thresholds; iterated across model variants for high visual variability across life stages.
  • Coordinated with government officials and researchers; validated against real-world drone footage for deployment readiness.
PythonYOLOv8Computer VisionDrone DataML

Blood Bank Management System

Scalable cloud system for blood bank inventory and request management with role-based access and automated tracking.

  • Deployed on AWS (Lambda, DynamoDB, S3, API Gateway) with a React/Node.js frontend.
  • Reduced manual errors in blood request workflows through automated inventory management.
AWSReactNode.jsDynamoDBServerless

Analysis of Health Reddit Data

Data analysis pipeline on health-related discussions from Reddit using sentiment analysis and topic modeling.

  • Built with Python, Matplotlib, and MongoDB to surface engagement and sentiment trends across health communities.
PythonNLPMongoDBSentiment AnalysisTopic Modeling

Healthcare Voice Navigation App

Voice-assisted navigation system for physically handicapped patients with a caregiver proxy interface.

  • Django/MySQL healthcare application with accessible design across multiple user personas.
DjangoMySQLAccessibilityVoice UI

// skills

Technical stack

Backend-first tooling for trading systems, financial data pipelines, and production operations — with applied ML experience from research and projects.

Languages

PythonJavaTypeScriptJavaScriptC++MATLAB

Backend & Frameworks

FlaskDjangoNode.jsExpress.jsReactAngular

Trading & Finance Tech

AMPSQuartzKafkaRegulatory ReportingEquities DerivativesTrade LifecycleInstrument / Transaction / Position Data

Databases

OracleMySQLMongoDBCassandraDBElasticsearch

Observability & DevOps

GrafanaKibanaSplunkDockerAWSCI/CDGit

ML / AI / NLP

YOLOv8scikit-learnpandasnumpyNLTKGensim

Concepts

Distributed SystemsMicroservicesREST APIsConcurrencyMessaging SystemsLarge-Scale System DesignAgile

// education

Education

MS in Computer Science

Binghamton University, SUNY — Thomas J. Watson College of Engineering

Aug 2022 – May 2024

Binghamton, NY

CGPA: 3.8 / 4.0

BE in Electronics and Communication Engineering

Chaitanya Bharathi Institute of Technology, Osmania University

Aug 2015 – May 2019

Hyderabad, India

// contact

Let's connect

Open to Software Engineer, Backend Engineer, and Quant Developer roles on trading platform, fintech, and capital markets engineering teams in the NYC / Jersey City area.