Suman Somavarapu

CEO

Hyderabad, Telangana, India19 yrs experience

Highly Stable

Key Highlights

Expert in building high-performance engineering teams.
Led enterprise informatics development at Schrödinger.
Developed real-time systems for market data processing.

Stackforce AI infers this person is a Fintech and Software Development expert with strong leadership capabilities.

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Skills

Core Skills

LeadershipEnterprise Software

Other Skills

Distributed SystemsHigh Performance TeamsJavaPerlUnixAlgorithmsSQLPythonLinuxCC++Software DevelopmentDesign PatternsEclipseCore Java

About

Engineering leader passionate about building high performance teams. Experience on building teams from scratch - hiring, onboarding, technical guidance, project planning, project execution, people management and coaching junior managers. Development experience on various types of projects that include Enterprise Informatics systems, Trading systems, and Network protocol stack running on mobile devices.

Experience

Schrödinger

3 roles

Director

Promoted

Jan 2024 – Present · 2 yrs 2 mos

Lead enterprise informatics development team in India. Expanded the team I built while at D. E Shaw (before the split) to about 30 developers that include front end, back end, and cloud infrastructure developers. Handling end to end responsibility for the team that include hiring, onboarding, technical guidance, project planning & execution, team building and coaching junior managers.

LeadershipEnterprise SoftwareDistributed SystemsHigh Performance Teams

Senior Staff Developer

Promoted

Jan 2023 – Dec 2023 · 11 mos

Staff Developer

Dec 2021 – Dec 2022 · 1 yr

D. e. shaw india private limited

5 roles

Lead Developer

Jan 2019 – Nov 2021 · 2 yrs 10 mos

Project Manager

Jan 2017 – Dec 2018 · 1 yr 11 mos

Project Leader

Promoted

Jan 2012 – Dec 2016 · 4 yrs 11 mos

Market Data Feeds
This project involved writing high performance feed parsers, developing feed normalizer which is a realtime distributed system used for feeding market data to trading systems. The project also involved developing applications to persist market data into an in-house developed tick database called UTD. The data is used for historical analysis and forecasting.