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Venkata Bhargav

Performance Engineer | JMeter, k6, Dynatrace, AI-Driven Observability | Optimized Enterprise Systems for Speed & Resilience

Bengaluru

4+ years of work experience

IBM
Apr 20266 mosPresent

Bengaluru, Karnataka, India

Wipro
Oct 20256 mosMar 2026

Wipro
Mar 20223 yrs 7 mosSep 2025

Bengaluru, Karnataka, India

🛡️Ensured 99.9% stability for Tier-1 Banking applications by executing comprehensive load strategies for 1,000+ concurrent users, strictly validating SLA compliance under peak traffic conditions. 🤖Reduced regression testing time by 40% through automated performance gates in the Jenkins pipeline, preventing latency regressions from reaching production and ensuring faster release cycles. 🚀Improved transaction throughput by 30% by analyzing Oracle SQL AWR reports during peak load, collaborating with DBAs to optimize slow indexes and minimize database CPU contention. 🎯Established definitive 'Go/No-Go' quality gates for major releases by translating business requirements into measurable SLAs or SLOs, ensuring zero production rollbacks due to performance issues. 🔍Prevented critical production outages by utilizing Dynatrace to pinpoint high CPU threads and memory leaks during extended soak tests, providing granular logs to developers for rapid defect resolution. 🏆Upskilled 200+ cross-functional teams on APM monitoring strategies by establishing a centralized Knowledge Hub, recognized with 8+ Technical Excellence Awards for driving engineering culture and delivery ownership.

Venkata’s AI Stack

metaai
metaai
n8n
n8n
openai
openai
githubcopilot
githubcopilot
Blackbox AI
Blackbox AI
ChatGPT
ChatGPT

Education

SRKR Engineering College

Bachelor of Technology

SRKR Engineering College

20174 yrs2021
Sri Chaitanya College of Education

Intermediate, MPC

Sri Chaitanya College of Education

20152 yrs2017

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Headline

Performance Engineer | JMeter, k6, Dynatrace, AI-Driven Observability | Optimized Enterprise Systems for Speed & Resilience

About

I’m a Performance Engineer who bridges the gap between "it works" and "it scales under massive pressure." My focus is shifting performance left, utilizing tools like Dynatrace and JMeter to catch bottlenecks before they become production outages. THE IMPACT (Proven Results): 🚀 Speed: Engineered a 30% throughput improvement for a high-volume banking app via deep-dive DB optimization. 🛡️ Stability: Ensured 99.9% uptime for 1,000+ concurrent users during peak loads. 🤖 Efficiency: Cut regression testing time by 40% by building automated performance gates into Jenkins CI/CD pipelines. THE APPROACH (How I Work): It’s not just about running scripts. It’s about culture. I’ve upskilled 200+ cross-functional developers and QA on APM strategies because performance is a shared responsibility. THE TOOLKIT: Testing: K6, JMeter, LoadRunner, BlazeMeter Observability: Dynatrace (AI-driven), New Relic, Grafana Ecosystem: AWS, Kubernetes, Docker, Java, SQL 🌍 NEXT STEP: I am fully committed to join a forward thinking product team building high speed, resilient software.

Location

Bengaluru

AI stack

metaai

n8n

openai

githubcopilot

Blackbox AI

ChatGPT

Work experience

Performance Engineer at IBM, Apr 2026 - Present · 6 mos, Bengaluru, Karnataka, India

Senior Performance Engineer at Wipro, Oct 2025 - Mar 2026 · 6 mos

Performance Engineer at Wipro, Mar 2022 - Sep 2025 · 3 yrs 7 mos, Bengaluru, Karnataka, India, 🛡️Ensured 99.9% stability for Tier-1 Banking applications by executing comprehensive load strategies for 1,000+ concurrent users, strictly validating SLA compliance under peak traffic conditions. 🤖Reduced regression testing time by 40% through automated performance gates in the Jenkins pipeline, preventing latency regressions from reaching production and ensuring faster release cycles. 🚀Improved transaction throughput by 30% by analyzing Oracle SQL AWR reports during peak load, collaborating with DBAs to optimize slow indexes and minimize database CPU contention. 🎯Established definitive 'Go/No-Go' quality gates for major releases by translating business requirements into measurable SLAs or SLOs, ensuring zero production rollbacks due to performance issues. 🔍Prevented critical production outages by utilizing Dynatrace to pinpoint high CPU threads and memory leaks during extended soak tests, providing granular logs to developers for rapid defect resolution. 🏆Upskilled 200+ cross-functional teams on APM monitoring strategies by establishing a centralized Knowledge Hub, recognized with 8+ Technical Excellence Awards for driving engineering culture and delivery ownership.

Education

Bachelor of Technology, SRKR Engineering College

Intermediate, MPC, Sri Chaitanya College of Education