Shravan Venkataraman

Software Engineer

Hyderabad, Telangana, India11 yrs experience
Highly Stable

Key Highlights

  • Expert in quantitative research and financial modeling.
  • Proven track record in building automated trading systems.
  • Strong experience in developing real-time analytics platforms.
Stackforce AI infers this person is a Fintech expert specializing in quantitative research and automated trading systems.

Contact

Skills

Core Skills

Software ArchitectureRest ApisQuantitative ResearchStatistical ModelingBacktestingPython

Other Skills

AMQAWS CloudFormationAWS LambdaAmazon AuroraAmazon EC2Amazon Web Services (AWS)Apache KafkaApacheMQAutomationBacktraderBootstrap (Framework)CC++CSSCascading Style Sheets (CSS)

About

Quantitative Researcher & Trader, building statistical and macroeconomic pricing & valuation models for energy market futures and synthetic structures.

Experience

11 yrs
Total Experience
2 yrs 7 mos
Average Tenure
1 yr
Current Experience

Incomm payments

Software Engineer III

Jun 2025Present · 1 yr · Atlanta, Georgia, United States · Remote

  • Working on design, development, and maintenance of payments services stack using Rest APIs.
Go (Programming Language)REST APIsSoftware ArchitectureSoftware DesignJiraKubernetes+10

Lv technologies

Quantitative Developer

Feb 2025May 2025 · 3 mos · Jaipur, Rajasthan, India · Remote

  • In touch with few family office funds advising them on setting up exposure to commodity futures markets (across ICE, CME, Euronext, and Bursa), set up their quantitative research/tools stack, to build risk management tools, and manage data requirements.
PythonPandasThomson Reuters EikonQuantitative Research

Futures first

Quantitative Developer

Jan 2021Feb 2025 · 4 yrs 1 mo · Jaipur, Rajasthan, India · On-site

  • Led the end-to-end design and development of real-time analytics systems to process and visualize trading signals, risk metrics, and market data for commodities and energy futures.
  • Designed and deployed a market timing platform combining momentum and volatility signals, used daily for execution decisions across 6+ asset classes.
  • Built scalable dashboards, monitoring, and alerting systems for live volatility, liquidity risk, and signal monitoring.
  • Designed and deployed production-ready statistical models and signal engines with robust data pipelines for reliable intraday and historical data ingestion, transformation, and storage.
  • Built a low-latency market scanning system to detect trade signals across 8 asset classes, 100s of instruments, and diverse data sources in real time.
  • Stack: Python, Pandas, Plotly, Grafana, InfluxDB, Cron, Redis, FastAPI, Flask
Quantitative ResearchSQLExploratory Data AnalysisInfluxDBStatistical Data AnalysisGrafana+10

System trading academy

Trainer - Systematic Trading with Python

Jan 2020Dec 2024 · 4 yrs 11 mos · India · Remote

  • Taught Python for Finance - specifically for building a backtesting and automated trading pipeline
  • Trained nearly 700 students across India over 4 years, and across several batches.
  • Primary focus on backtesting Index and Equity Futures and Options for Indian Market
BacktraderAutomationInteractive Brokers APIZerodha APIMessagingBacktesting+1

Self-employed

Quantitative Developer

Jul 2017Dec 2020 · 3 yrs 5 mos · India · Hybrid

  • Designed and built a low-latency, high-availability automated execution platform integrating Interactive Brokers and Zerodha APIs to deploy systematic strategies in real time for HNI clients.
  • Developed a custom backtesting and benchmarking engine that handled multiple portfolio strategies, scaling to ~$50M AUA across various asset classes.
  • Built robust data ingestion and transformation pipelines using RabbitMQ, Redis, and SQLite, enabling real-time processing and persistence of live market data.
  • Created cloud-native infrastructure for model execution and monitoring using Amazon EC2, ensuring 99.9% uptime with scalable deployment for the strategies.
  • Collaborated with family offices and advisors to deploy and monitor systematic equity strategies with monthly and weekly rebalancing windows.
  • Stack: Python, Pandas, Kafka, Redis, SQLite, Selenium, Amazon EC2, Flask
Quantitative ResearchFinancial ModelingRedisApache KafkaAmazon EC2

Paypal

3 roles

Software Development Engineer 2

Jan 2017Jul 2017 · 6 mos · Chennai Area, India

  • Worked on a major modification of a REST API to incorporate schema changes to the overall org DB.
  • Saved over $5mn per annum in seller-risk losses for PayPal & eBay by implementing an account based restriction feature.
  • Assisted Global Operations & Services in creation of their admin platform.
  • Performed a major overhaul to the email pipeline migrating holds emails from a legacy stack to an updated internal content stack.
  • Implemented the expansion of particular funds-holds types across all platforms.
  • Collaborated with client teams across PayPal orgs and helped them improve the performance of their APIs and also in their tech stack migrations.
Apache KafkaC++JavaAMQApacheMQJenkins+4

Software Development Engineer 1

Jul 2015Dec 2016 · 1 yr 5 mos · Chennai Area, India

  • Worked with the Risk Fraud Restriction Product team in migrating their core product from the legacy tech stack to a more recent Java web services based tech stack utilising an internal framework and tools.
  • Worked with the Risk Funds Availability team in improving and optimizing the performance of their legacy C++ APIs and in migrating the legacy APIs to Java based tech stack.
  • Worked in collaboration with the Marketplaces team in helping migrate their shipping functionality to a newer tech stack.
  • Helped remove redundancies, deprecate legacy stack by over 40%, fulfilling an SLA requirement by over 99,5%, while also fulfilling business requirements.

Software Development Engineer Intern

Jan 2015Jun 2015 · 5 mos · Chennai Area, India

  • Developed a querying and reporting system for Technical Account Managers, automating the business
  • processes involving the reports that were being done manually by the TAMs.
  • Reduced lead time by over 90% in the reporting process.
  • Implemented a scheduled reporting system that will automatically run on the beginning of every month using
  • the merchant data to create performance and TPV oriented reports for the managers.
  • Technologies: Bootstrap, HTML5, CSS3, JS, JQuery, Python on Django, Teradata.
PythonBootstrap (Framework)DjangoTeradata

Highterate

Founder & Creative Strategist

May 2015Apr 2016 · 11 mos · Chennai

  • Highterate (http://www.highterate.com/) is a Media/News/Publishing website that focuses on showing people what's right with the world.
  • As the founder of Highterate and the sole person working on it right now, my responsibilities include:
  • Designing the site and the site content in an overall manner.
  • Website management (includes wordpress dashboard management, plugin management, etc.)
  • Content discovery & research.
  • Content Writing.
  • Social media marketing.
  • Web & Graphic design (includes poster design, promotion designs, etc.)
  • A/B testing of different features added to the site on a regular basis.
  • A/B testing of site content and visitor behavior.
  • Monitoring the analytics parameters of the site, setting parametrical goals and overseeing the changes required to accomplish the same.

Education

Vellore Institute of Technology

Master of Science (MS) — Computer Software Engineering

Jan 2010Jan 2015

WorldQuant University

Financial Engineering

Jan 2018Jan 2018

Sri Sankara Vidyalaya MHSS, East Tambaram.

Junior College

Jan 2008Jan 2010

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