Karanveer Sirohi

Founder

Bengaluru, Karnataka, India5 yrs 1 mo experience

AI ML PractitionerAI Enabled

Key Highlights

Reduced incident response time to 15 seconds.
Developed multi-agent systems for root cause analysis.
Passionate about solving complex AI challenges.

Stackforce AI infers this person is a SaaS-focused AI Engineer with strong capabilities in automated systems and data analysis.

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Skills

Core Skills

Artificial Intelligence (ai)Data Analysis

Other Skills

AI EngineeringAlgorithmsArduinoArtificial Neural NetworksAutomated Root Cause AnalysisAutomated Service Dependency MappingBrowser AutomationC (Programming Language)C++Contextual RAG ArchitectureConvolutional Neural Networks (CNN)Data StructuresDeep LearningFront-End DevelopmentLangChain

About

AI Engineer with 1+ years of experience building production-scale AI agents and backend systems. Reduced incident response time from 5-6 minutes to 15 seconds through automated root cause analysis. Passionate about solving complex problems. I work best in a fast-paced environment, building constantly and quickly.

Experience

Doctor droid

Founding AI Engineer

Jun 2024 – Present · 1 yr 9 mos · Bengaluru, Karnataka, India · On-site

AI Engineering & Product Development:
Built AI incident response platform reducing first response time from 5-6 minutes to 15 seconds, processing data from 40+ observability tools (CloudWatch, ECS, DataDog, NewRelic, Slack).
Developed multi-agent system achieving 2-minute root cause analysis with automated service dependency mapping and failure pattern detection.
Implemented contextual RAG architecture enabling personalized debugging workflows through advanced chunking and knowledge transfer techniques.
Created browser automation AI agent for client-specific automation requirements using LangChain, AutoGen, and OpenAI/Anthropic/Perplexity APIs.
Data Analysis & Infrastructure:
Analyzed high-volume time-series data from CloudWatch metrics, log groups, alarms, and ECS clusters across enterprise-scale infrastructure
Built real-time anomaly detection using pandas and PyTorch for metric correlation analysis within 5-10 minute windows
Processed observability alerts from 40+ platforms with automated pattern recognition for upstream/downstream service dependencies
Technical Leadership:
Led prototype development of Doctor Droid's core AI product from concept to production
Generated qualified leads at 2 KubeCons (Utah, London) through technical product demonstrations
Transitioned from Backend to AI Engineer within 3 months, taking full ownership of company's AI initiatives