Yash Chapani

Software Engineer

Bengaluru, Karnataka, India6 yrs 7 mos experience

Highly Stable

Key Highlights

Proven expertise in backend development and microservices architecture.
Significant contributions to fintech projects enhancing performance and efficiency.
Strong foundation in algorithms and data structures for optimized solutions.

Stackforce AI infers this person is a Backend-focused Software Engineer with strong expertise in Fintech solutions.

Contact

chapani@uber.com +918866336199 LinkedIn

Skills

Core Skills

Spring BootRest ApisBackend DevelopmentRobotic Process Automation

Other Skills

AlgorithmsAngularApache CamelApache KafkaCC (Programming Language)C#Data StructuresElasticsearchHTMLHibernateJavaJerseyLinuxLucene

About

Experienced software engineer with a demonstrated history of working in the various industries. Skilled in Algorithms, Java, Python, Angular, Database, and Shell scripting.

Experience

Uber

Software Engineer 2

Aug 2024 – Present · 1 yr 7 mos · Bengaluru, Karnataka, India

Goldman sachs

2 roles

Associate

Jan 2023 – Aug 2024 · 1 yr 7 mos

Technology Analyst

May 2021 – Jan 2023 · 1 yr 8 mos

Morgan stanley

4 roles

Senior Associate

Promoted

Jan 2021 – May 2021 · 4 mos

Worked with 𝐏𝐫𝐢𝐦𝐞 𝐁𝐫𝐨𝐤𝐞𝐫𝐚𝐠𝐞(𝐏𝐁) 𝐂𝐮𝐬𝐭𝐨𝐝𝐲 team on following projects:
CSR Workstation - Helped CSR get client data on mobile. Worked in backend to provide the client summary being refreshed every 5 minutes.
Renovated the Swift Infra for trades using 𝗦𝗽𝗿𝗶𝗻𝗴 𝗕𝗼𝗼𝘁. Improved throughput by 5x using batch read from JMS queue and concurrency. Used 𝐀𝐩𝐚𝐜𝐡𝐞-𝐂𝐚𝐦𝐞𝐥 for routing. Integrated 𝐀𝐩𝐩𝐝𝐲𝐧𝐚𝐦𝐢𝐜𝐬 for monitoring.
Worked on 𝐑𝐞𝐬𝐭𝐀𝐩𝐢𝐬 for Reconciliation of swift messages across all the system. Added a new screen in 𝐀𝐧𝐠𝐮𝐥𝐚𝐫 Web App to show recon data.

Spring BootApache CamelREST APIsAngular

Associate

Jan 2020 – Jan 2021 · 1 yr

Technology Analyst

Aug 2019 – Jan 2020 · 5 mos

Summer Intern

May 2018 – Jun 2018 · 1 mo · Mumbai, Maharashtra, India

Worked with Investment Management Team on 𝐑𝐨𝐛𝐨𝐭𝐢𝐜 𝐏𝐫𝐨𝐜𝐞𝐬𝐬 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧(𝐑𝐏𝐀) solution to automate the daily INVF swing review process, reducing human effort of 2 hours on daily basis. Used 𝐏𝐞𝐠𝐚 𝐑𝐨𝐛𝐨𝐭𝐢𝐜𝐬 𝐒𝐭𝐮𝐝𝐢𝐨 with 𝐂# scripts for automation.