Ravi P.

Senior Software Engineer

London, United Kingdom14 yrs experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in distributed systems and big data analytics.
Proven track record in improving system performance and efficiency.
Strong background in technical architecture and software development.

Stackforce AI infers this person is a Big Data and Distributed Systems expert with a focus on healthcare and financial technology.

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Skills

Core Skills

Technical ArchitectureBig Data AnalyticsJavaDistributed Systems

Other Skills

AlgorithmsAmazon Web Services (AWS)AndroidAnsibleApache KafkaApache SparkApache StormArduinoArtificial IntelligenceBig DataBigQueryBluetoothC++ 17Cloud ComputingComplex Event Processing

About

Love solving real world problems into customer centric solution, End to end product ownership, design, development and support. B.E. Computer Science (2007-2011) MS(by Research) (2012-2014) Interests : Designing and Building highly scalable and reliable distributed system, Large scale data management, Low latency systems, AI Core Skills - C/C++, Java, Python, Linux

Experience

14 yrs

Total Experience

2 yrs 4 mos

Average Tenure

3 yrs 8 mos

Current Experience

Bloomberg

Senior Software Engineer

Oct 2022 – Present · 3 yrs 8 mos · London Area, United Kingdom

Technical ArchitectureFundamentalsPython (Programming Language)Amazon Web Services (AWS)C++ 17Trading Systems+4

Jpmorgan chase & co.

Senior Software Engineer

Jun 2019 – Aug 2022 · 3 yrs 2 mos · Glasgow, United Kingdom

Technical ArchitectureFundamentalsPython (Programming Language)Amazon Web Services (AWS)C++ 17Trading Systems+3

Gbif: the global biodiversity information facility

Software Developer

Jan 2018 – May 2019 · 1 yr 4 mos · Copenhagen Area, Capital Region, Denmark

Technical ArchitectureJavaBig Data Analytics

Striim

Software Development Engineer

Nov 2015 – Dec 2017 · 2 yrs 1 mo · Chennai Area, India

Working on a Distributed Stream Processing Platform
1. Efficient handling of UPDATES and DELETEs on append only data query engines like Google BigQuery and Hive. Proposed Filter and Query based algorithm reduces storage and write time to 50% from existing.
2. Proposed Fault tolerant distributed coordinated checkpointing for batched replication application.
3. Proposed Generic Auto Sharding algorithm for connectors.
4. Designed and Implemented External connectors for Apache HBase, Google Bigquery, Salesforce, SQL Server,OPC-UA (IoT).
5. Designed and Implemented XML Parser using Stax Parser, parsing at rate of 1,65,000 events or XML elements per second on one thread. The XML elements were 3 level nested and events are filterable on criteria.
6. Redesigned the existing Testing Automation API, which reduces the test cases size by 10 times and allows rapid Integration test development by non programmers.
Technology Used : Java, multithreading, RPC, websockets, distributed computing, REST services, HBase, MongoDB,Salesforce,BigQuery, Hazelcast, Hadoop,
Hive, maven, git, vagrant, ansible, testng, eclipse milo (OPCUA).

Technical ArchitectureJavaBig Data Analytics

Siemens plm software

Software Development Engineer

Feb 2015 – Nov 2015 · 9 mos · Chennai, Tamil Nadu, India

Project : LMS Imagine Lab

Technical ArchitectureMavenJava

Department of science and technology -nrdms (anna university)

Junior Research Fellow- Department of Science and Technology Funded Project- Government of India

Feb 2012 – Feb 2015 · 3 yrs · Chennai Area, India

Remote health monitoring system
Implemented a Load Balancing algorithm for distributed Complex Event Processing System which improves the throughput of system to 20% with respect to round robin allocation technique.
Implemented statistical model to improve accuracy of event detection in rule based Complex Event Processing Systems.
Implemented an on-stream Activity detection algorithm on android smart phones which identifies and reports person’s activity (stand or sit /lying/ walking and falling).
Improved open-source JBoss- Drools Fusion to allow dynamic knowledgebase updation at runtime.
Improving Abnormality Detection speed by 57% using Rete Algorithm.
Technology: Jboss Drools Expert and Fusion 5.4.0, Apache Tomcat 6, JSP, Servlets, My SQL -5.5, jQuery, HTML 5, Android, JAX-RS, Blue-cove 2.1 , Gson, opencv 2.4.4, weka 3.6.0, Sensor and Bluetooth
programming