Vivek Shah Email & Phone Number
Who is Vivek Shah? Overview
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Vivek Shah is listed as Senior Software Engineer at LinkedIn, a with 23970 employees, based in Bengaluru, Karnataka, India. AeroLeads shows a matched LinkedIn profile for Vivek Shah.
Vivek Shah previously worked as Software Development Engineer II at Amazon and Software Development Engineer at Amazon. Vivek Shah holds Bachelor Of Technology (Btech), Computer Engineering, 9.05/10 from National Institute Of Technology Surat.
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About Vivek Shah
As a highly skilled and experienced Software Engineer, I have demonstrated abilities to deliver simplified technical solutions for ambiguous and challenging problems. Leveraging my deep understanding of software architecture and engineering best practices, I excel at delivering highly resilient, scalable, available and maintainable solutions that meet business requirements. I collaborate effectively with cross-functional stakeholders, including PMs, SDE-3s, SDMs, Applied/Data Scientists, etc to drive alignment and achieve results. With expertise across multiple domains (Machine Learning, Cloud Computing, Big data technologies) and languages (Python, Java, Scala, etc.), learning agility is my key skill. I am committed to deliver high quality results with quantifiable business outcomes to make my stakeholders and organization successful.Besides professional accomplishments, I have a strong command of Data Structures and Algorithms. I am rated Candidate Master on Codeforces and consistently ranked in the top 1% in LeetCode contests. I am passionate about solving complex problems, optimizing solutions, and creating impact through code.
Listed skills include Mathematics, Leadership, Team Building, Social Media, and 17 others.
Vivek Shah's current company
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Vivek Shah work experience
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Software Development Engineer Ii
Current
Software Development Engineer
I am part of Amazon's Contextual Advertising team responsible for generating Contextual signals (through ML, non-ML techniques), managing their storage and governance. Contextual signals provide context of a Webpage, apps, etc. without the use of user identities(like cookies). I have owned and delivered projects successfully to launch 10+ Contextual signals requiring collaboration and driving alignment on the Problem statement scope and Engineering design along-with SDE-3 and Applied scientists. As part of this, I have designed and build scalable and resilient engineering system from scratch supporting 0.1 Billion lookups per day. I have deployed 3+ ML models handling Production traffic of 1000+ QPS with zero regression/rollback.Additionally, I have launched Data Ingestion API to streamline dataset onboarding to a data-lake and successfully onboarded 7+ Publisher/3P vendor datasets from the legacy ad-hoc flows, enabling data ingestion of 0.5 Billion records per day. As part of the initiative, I have defined the problem scope by diving-deep on the pain-points from previous on-boardings and owned the e2e execution of the SDLC phases.Leveraging my expertise on the legacy systems, I have reviewed 250+ Code reviews and 10+ designs providing impactful feedback focusing on the code maintainability and operational readiness. I have resolved 237 operational tickets (including 141 SEV2s) and drove long term fixes in the legacy system to ensure Production system resiliency. My key strengths lie in Deep-dive, Insist on Highest standards and Bias for action.
Software Engineer
Part of Corporate & Investment Banking (CIB) Athena and Trade Risk Services (ATRS) Postrade Team.Flowmonster, the name of my project, is based on automating the trades with clients and the dealers at the same time sending the completed trades to the Regulatory bodies as per rule. It is the trading system that automatically decides when to trade across client and dealer platforms, to provide fast and best-automated price quoting for client quotes, using the liquidity available in the dealer market and in compliance with the current risk.► Reduced client side latency by 30% by removing the redundant API calls through local caching.► Devised the pricing strategy for the client market which provided them prices way lower than the market price at the same time managed to get maximum profit by trading along with the dealers.► Ensured that the risk limit breaches regulated by the regulatory bodies are within the control by devising an algorithm for it.► Communicated really well with team members and had daily scrum calls with them to discuss various issues we, as a team, were facing.► My team reached the finals in the contest, we were runners-up and we had a Profit and Loss (PnL) of $26 M, among two teams who had a positive PnL.Worked on another project called Athena Comparison Tool. The tool provides UI to compare two messages of the same format which is helpful while migrating feeds from one system to another(processes comparing more than 10k deals each day).► Enhanced and improved the Comparison Tool and the report generation so that it could provide more user view.Tech-Stack: Python
Software Engineer Internship
Part of Corporate Investment Banking (CIB) Production Management.AaaS (Automation as a Service) Project: The project was to automate the flip from PROD to DR servers so that at any point of time we are sure that the clients aren't blocked waiting for their requests to be served.► Leveraged AaaS micro-services API calls to automate the entire process.► The amount of redundant manual work done by my team was reduced from more than 60 jobs/services to 0 and everything was automated and could be done in a single click. The script managed to flip around 12 application with either Windows or Linux OS.► Every single activity done by my script had been logged so that it could be served as evidence to the regulatory systems.► Ensured that my project could be used not only by my team but also other teams by configuring my code with their application.Tech Stack: Python
Colleagues at LinkedIn
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Johnuduhj1007-003937 Doe
Colleague at LinkedinSan Francisco Bay Area, United States
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Dave Test
Colleague at LinkedinSan Jose, California, United States
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Bhuvaneswari Pv
Colleague at LinkedinHyderabad, Telangana, India
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Johnqb4Cf0913-030702 Doe
Colleague at LinkedinSan Francisco Bay Area, United States
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Elandra Garrett
Colleague at LinkedinKilleen-Temple Area, United States
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Johnhexst1224-140600 Doe
Colleague at LinkedinSan Francisco Bay Area, United States
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Johntjvda Doe
Colleague at LinkedinSan Francisco Bay Area, United States
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Mynetwork Test_Thirtysix
Colleague at LinkedinMountain View, California, United States
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John66S0N1113-051820 Doe
Colleague at LinkedinSan Francisco Bay Area, United States
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Turane Eliyeva
Colleague at LinkedinAmsterdam, North Holland, Netherlands
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Vivek Shah education
Bachelor Of Technology (Btech), Computer Engineering, 9.05/10
Icse Circculum, Mathematics And Computer Science, 95.2%
Frequently asked questions about Vivek Shah
Quick answers generated from the profile data available on this page.
What company does Vivek Shah work for?
Vivek Shah works for LinkedIn.
What is Vivek Shah's role at LinkedIn?
Vivek Shah is listed as Senior Software Engineer at LinkedIn.
Where is Vivek Shah based?
Vivek Shah is based in Bengaluru, Karnataka, India while working with LinkedIn.
What companies has Vivek Shah worked for?
Vivek Shah has worked for Linkedin, Amazon, and Jpmorgan Chase & Co..
Who are Vivek Shah's colleagues at LinkedIn?
Vivek Shah's colleagues at LinkedIn include Johnuduhj1007-003937 Doe, Dave Test, Bhuvaneswari Pv, Johnqb4Cf0913-030702 Doe, and Elandra Garrett.
How can I contact Vivek Shah?
You can use AeroLeads to view verified contact signals for Vivek Shah at LinkedIn, including work email, phone, and LinkedIn data when available.
What schools did Vivek Shah attend?
Vivek Shah holds Bachelor Of Technology (Btech), Computer Engineering, 9.05/10 from National Institute Of Technology Surat.
What skills is Vivek Shah known for?
Vivek Shah is listed with skills including Mathematics, Leadership, Team Building, Social Media, Algorithms, C, Object Oriented Programming, and Cascading Style Sheets.
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