Sde-2

Back-End / Server Programming Pune, Maharashtra, India

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Summary

I am a Software Engineer with experience building scalable distributed systems and production-grade machine learning solutions. At MSCI, I have developed high-impact systems including an anomaly detection pipeline processing 15M+ logs per day and AI-driven workflows for automated root cause analysis. My work spans backend engineering, observability, and applied machine learning, with a focus on improving system reliability and performance.

I have hands-on experience with technologies such as Kafka, Spring Boot, Prometheus, and Azure OpenAI, along with machine learning techniques including NLP and clustering. I enjoy solving complex engineering problems at scale and building systems that bridge data, infrastructure, and intelligence.

I have been recognized with a Star Award for my contributions and have a strong foundation in data structures and algorithms, having solved 400+ problems. I am particularly interested in roles involving large-scale systems, machine learning, and AI-driven applications

Expectations

I am looking for a role where I can work on building scalable systems and applying machine learning to solve real-world problems at scale. Im particularly interested in opportunities that involve distributed systems, AI/ML-driven applications, and performance optimization.

I value environments that encourage ownership, collaboration, and continuous learning, where I can contribute to impactful projects while further strengthening my technical depth in system design and machine learning. Im also keen to work on products that directly improve user experience or business outcomes.