Sahil Garg

Senior Software Engineer

Bengaluru, Karnataka, India4 yrs 1 mo experience

Key Highlights

Designed RAG-powered automated code review workflows.
Developed AI-driven agents for data extraction.
Holds a patent in automotive semiconductor reliability analytics.

Stackforce AI infers this person is a Backend Engineer specializing in Semiconductor and Automotive analytics.

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Skills

Core Skills

Predictive & Time-series AnalyticsEtl PipelineApi DevelopmentScalable Architecture

Other Skills

AgenticAIAnomaly DetectionPrompt EngineeringUnit TestingDebuggingCode ReviewsRAGCI/CDOOPsSOLID PrinciplesComputer VisionJavaSpring BootC++Python

About

Results-driven Senior Software Backend Engineer & AI Specialist with 4+ years of experience designing scalable backend architectures, distributed systems, and Generative AI solutions for semiconductor and automotive analytics platforms. Currently driving predictive silicon monitoring and intelligent automation at Synopsys, where I design secure APIs, distributed analytics pipelines, and RAG-powered workflows used for proactive failure detection and code review optimization. Core Technical Strengths: • Java, Spring Boot, Python, C++ • Distributed Systems & Microservices Architecture • Generative AI, RAG & LLM-Driven Automation • System Design, Data Structures & Algorithms • Scalable APIs, ETL Pipelines & Cloud Integration • Azure, SQL, Docker, Kubernetes, CI/CD I have built: • Scalable ETL pipelines and 15+ APIs for silicon reliability monitoring • RAG-powered automated code review workflows integrated with CI/CD • Cloud-based analytics & visualization backends for simulation data • AI-driven chatbots for natural language data extraction and reporting I also hold a patent in automotive semiconductor reliability analytics, and a strong academic foundation with an M.Tech in Artificial Intelligence from IIIT Pune. 🎯 Currently targeting roles in: Staff Software Engineer | Backend Engineer | AI/ML Engineer | Software Development Engineer | Senior Software Engineer | Distributed Systems Engineer | Member of Technical Staff

Experience

4 yrs 1 mo

Total Experience

Average Tenure

Current Experience

Red hat

Senior Software Engineer

Apr 2026 – Present · 2 mos · Bengaluru · Hybrid

Synopsys inc

2 roles

Research and Development Staff Engineer

Feb 2025 – Jan 2026 · 11 mos · Bengaluru, Karnataka, India

Owned and developed APIs and analytics workflows for processing silicon test and simulation data enabling faster insight generation and visualization.
Designed and built an RAG-powered automated PR code review workflow integrated with GitHub and CI/CD pipelines, reducing review turnaround time and improving code quality.
Developed an AI-driven agent that translated natural-language queries into data extraction and visualization reports, automating analytics workflows and reducing manual effort by 50%.
Owned end-to-end design & deployment of LLM-driven analytics system in production and mentored junior engineers

Predictive & Time-Series AnalyticsAgenticAIAnomaly DetectionPrompt EngineeringETL PipelineUnit Testing+2

Research And Development Senior Engineer

Jun 2022 – Feb 2025 · 2 yrs 8 mos · Bengaluru, Karnataka, India

Developed an ETL data pipeline, analytics workflows and 15+ scalable APIs for silicon reliability, anomaly and failure detection to enable predictive chip-health monitoring and maintenance across automotive fleets.
Owned and developed APIs and analytics workflows for processing silicon test and simulation data enabling faster insight generation and visualization.
Developed Python interface for core C++ simulation modules using Pybind11

Predictive & Time-Series AnalyticsAgenticAIAnomaly DetectionPrompt EngineeringETL PipelineUnit Testing+2

Tata consultancy services

Developer Intern

Jun 2021 – Mar 2022 · 9 mos · Pune, Maharashtra, India

Worked within the EIS unit, focusing on Computer Vision integration for autonomous vehicle technologies.
ADAS Simulation & Computer Vision: Contributed to ADAS Level-4 simulation workflows by implementing Computer Vision techniques for depth analysis and segmentation.
Test Scenario Design: Designed efficient graph-based structures to organize and manage complex test scenarios for autonomous driving systems.

Unit TestingDebuggingCode ReviewsAPI DevelopmentScalable ArchitectureOOPs+1