Saijayavinoth T V S

Software Engineer

Bengaluru, Karnataka, India4 yrs 2 mos experience

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Key Highlights

Boosted revenue by 10% through innovative solutions.
Reduced metrics onboarding time by 90%.
Recognized for contributions with awards at Samsung.

Stackforce AI infers this person is a Backend Engineer with expertise in Automotive and Data Engineering sectors.

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Skills

Core Skills

BackendMicroservices

Other Skills

JavaPython (Programming Language)Spring Boot5GPySparkGo (Programming Language)Data EngineeringWPFKubernetesProblem SolvingDSADatabase Management System (DBMS)Apache KafkaApache SparkAmazon Web Services (AWS)

About

Software Engineer 2(Backend/Data), currently at Uber, scaling AV platform to rapidly onboard multiple AV partners, previously handled Metrics lifecycle(Definition, Pre-Aggregation, Serving) and mainly focused on customer experience by identifying and improving the gaps in legacy system. During my tenure at Media.net, I specialized in building scalable solutions, including a distributed outbound rate limiter and advanced rate-limiting strategies boosting revenue by 10%. With experience in optimizing network calls, increasing system efficiency, and collaborating across teams, I’m passionate about solving complex problems and driving innovation. Previously at Samsung Semiconductor India Research, I automated testing processes and analyzed 4G/5G modem behavior, earning recognition like SPOT AWARD & SWC Certificate for my contributions. Skilled in Java, Python, Spring Boot, Micro-service architecture, eager to apply my skills and expertise to drive impactful solutions and contribute to the success of future projects.

Experience

4 yrs 2 mos

Total Experience

1 yr 4 mos

Average Tenure

1 yr 7 mos

Current Experience

Uber

Software Engineer II - Backend

Sep 2024 – Present · 1 yr 7 mos · Bengaluru · Hybrid

Autonomous Vehicle Platform:
1. Co-led 2025 Q4 planning and requirement scoping with a Staff Engineer in the absence of a PM.
2. Improved debugging time by introducing DAG visualization of a 250 step AV partner on-boarding process.
3. Onboarded SDE-2
uMetric Platform:
1. Bridged backend and data engineering responsibilities as needed
2. Boosted non-roll-up metrics on-boarding/editing time from 20 to 2 days(approx. 90%) by upgrading to
RoaringBitmap64 data structure and introducing parallelism in batch computation.
3. Reduced disk usage by 99% by migrating from HLL to modern data structure CPC sketch.
4. Contributed to multiple POCs resulting in 50% reduced latency to support platform scalability by leveraging
Apache Pinot’s StarTree Index.
5. Been on-call support and fixed critical bugs impacting business critical metrics and internal libraries.
6. Onboarded SDE-1