Yogiraj Gutte

Product Engineer

Pune, India3 yrs 9 mos experience
Highly Stable

Key Highlights

  • Expert in Machine Learning and AI integration.
  • Proven track record in performance optimization.
  • Strong background in scalable architecture development.
Stackforce AI infers this person is a SaaS-focused developer with expertise in Machine Learning and scalable architecture.

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Skills

Core Skills

JavascriptMachine LearningMicroservicesData ScienceAngular

Other Skills

Amazon Web Services (AWS)TypeScriptNode.jsGitKoa.jsPythonC++Deep LearningGoogle Cloud Platform (GCP)PostgreSQLGitLab CI/CDgRPCAPI DevelopmentMicrosoft OfficeReact.js

Experience

3 yrs 9 mos
Total Experience
3 yrs 9 mos
Average Tenure
3 yrs 9 mos
Current Experience

Nvidia

Tools Development Engineer

Aug 2022Present · 3 yrs 9 mos · Pune District

  • 🚀 Core Tooling & Backend Architecture
  • Database Services: Built the BAT/Devtest Database APIs from scratch using MVC architecture and PostgreSQL, and integrated a GitLab CI/CD pipeline for automated deployment.
  • Scalable Test Architecture: Engineered a custom gRPC client and independent, scalable bots to simulate complex subscriber loads for the Mega Scheduler service.
  • Custom Build Utilities: Developed a dynamic utility that fetches the latest Kit Kernel builds from OmniPackages to build custom Isaac Sim versions, enabling early integration bug detection.
  • 🧠 AI & LLM Integration
  • Automated Code Review: Designed an LLM-based service integrated directly with GitLab to analyze merge requests, including Jupyter Notebooks and SQL files, for code quality.
  • LLM Evaluation: Developed and hosted a dedicated server-side evaluation service using DeepEval to validate LLM responses across multiple modes.
  • Embedding Validation: Solved visual validation failures in non-deterministic simulations by converting image and video sequences into reference embeddings for similarity scoring.
  • ⚡ Performance & Algorithmic Optimization
  • Data Structure Optimization: Eliminated an 8-minute query bottleneck by refactoring element caching from lists to dictionaries, saving upwards of 10 hours on large workflows like Clash Detection.
  • Outlier Detection: Engineered a robust validation algorithm using a voting mechanism (Tolerance, 3 Sigma, IQR) across 30 executions to eliminate coordinate false positives.
  • System Hang Detection: Decoupled timeout logic to the Client Library to independently detect progress bar freezes and total application hangs based on configurable thresholds.
  • 🛠️ Framework Enhancements
  • API Development: Designed new test automation APIs and implemented core fixes for a custom framework built for Omniverse Kit SDK.
JavaScriptAmazon Web Services (AWS)MicroservicesTypeScriptAngularNode.js+8

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Jan 2022Jul 2022 · 6 mos · Pune, Maharashtra, India

AngularNode.js

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AngularNode.js

Education

Sinhgad College of Engineering

Bachelor of Engineering - BE — Computer Engineering

Jan 2018Jan 2022

Shri Shivaji Junior College

HSC Boards

Mar 2018Present

Mount Carmel English School

SSC Boards

May 2016Present

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