Anand Prakash Ranjan — Software Engineer

Performance Engineer | AI-Driven Optimization | SRE & Chaos Engineering Enthusiast A Performance Engineering professional with 10+ years of experience driving scalability, benchmarking, and high-performance system optimization across complex, high-traffic platforms. Expertise spans load testing, performance tuning, heap and memory analysis, GC optimization, thread profiling, and backend system optimization, ensuring applications remain fast, stable, and resilient under production workloads. Hands-on experience includes Linux OS, shell/bash scripting, Python, NodeJS, and performance testing tools such as JMeter, Locust, LoadRunner, and K6. Strong track record in designing end-to-end performance frameworks from automated load testing to report generation and actionable stakeholder communication enabling data-driven decisions for engineering and business teams. Experienced in Chaos Engineering experiments to proactively identify vulnerabilities, simulate failures, and enhance system reliability. Well-versed in SRE principles and DevOps practices, including CI/CD pipelines, monitoring, alerting, and infrastructure automation, ensuring performance goals are integrated with operational excellence. Leveraging a Postgraduate degree in AI & Machine Learning from IIT Bangalore, AI/ML techniques are applied to predict bottlenecks, optimize load testing, and build intelligent, self-adaptive performance workflows. Contributed to Gen-AI projects, supporting teams in building LLM models and integrating AI insights into system performance strategies. Proven leadership in mentoring teams, defining performance strategies, conducting architecture and code reviews, and driving measurable improvements in throughput, latency, and infrastructure efficiency. Skilled at collaborating with development, QA, SRE, and DevOps teams to deliver systems that are fast, resilient, cost-effective, and scalable.

Stackforce AI infers this person is a Performance Engineer with expertise in AI-driven optimization for high-traffic platforms.

Location: Noida, Uttar Pradesh, India

Experience: 10 yrs 5 mos