Sarvesh .

Software Engineer

Bengaluru, Karnataka, India2 yrs 10 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Reduced ingestion latency by 75% for GenAI systems.
Led successful migration of legacy systems at Oracle.
Expertise in building scalable distributed systems.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in SaaS and Generative AI infrastructure.

Contact

sc21122000@gmail.com LinkedIn

Skills

Core Skills

Distributed SystemsGenerative AiBackend DevelopmentCloud Applications

Other Skills

Python (Programming Language)CommunicationRedisWebSocketJavaTerraformTeamworkFastAPIPostgreSQLModel Context Protocol (MCP)GoGo (Programming Language)Java DevelopmentServer SideReact.js

About

I’m a Software Engineer at Oracle working on GenAI infrastructure powering large-scale chat systems (chat.oracle.com). I build distributed systems for LLM applications, focusing on: • Large file ingestion (up to 100MB) • Embedding pipelines & vector workflows • Real-time systems (WebSockets, streaming) Key impact: • Reduced ingestion latency by ~75% (9 min → 2 min) • Designed async distributed pipeline using OCI Queue • Enabled scalable embedding workflows under strict API constraints Currently exploring: • GenAI infrastructure • Distributed systems at scale Open to opportunities in GenAI infrastructure and backend platform engineering.

Experience

2 yrs 10 mos

Total Experience

2 yrs 10 mos

Average Tenure

2 yrs 10 mos

Current Experience

Oracle

2 roles

Member of Technical Staff

Mar 2025 – Present · 1 yr 2 mos · Bengaluru

Built async distributed embedding pipeline (OCI Queue) → reduced latency 75%
Enabled 100MB file ingestion for GenAI Chat
Designed WebSocket API router → zero-downtime backend migration
Implemented real-time chat interruption (Redis pub-sub)

Python (Programming Language)CommunicationDistributed SystemsGenerative AI

Member of Technical Staff

Jul 2023 – Mar 2025 · 1 yr 8 mos · Bengaluru

Led deprecation of legacy Java REST Client (JRC), enabling seamless client migration despite limited documentation through deep code analysis and cross-team coordination
Orchestrated OS migration from Oracle Linux 7 to Oracle Linux 9, updating Docker images and validating system reliability via load balancer testing
Resolved critical OCI Load Balancer Terraform provider issues by improving header handling and API configurations, reducing incident tickets by 5%
Developed and optimized REST APIs for OCI service CLI, streamlining internal workflows and reducing manual intervention
Automated multi-region release link generation, reducing operational effort by 60% and improving deployment efficiency
Ensured high availability of production systems through proactive debugging, incident resolution, and on-call support

JavaTerraformBackend DevelopmentCloud Applications