I'm a software engineer who doesn’t just build APIs — I design the engines that power high-throughput, real-time systems at scale. Whether it's handling millions of transactions daily, optimizing latency-sensitive microservices, or engineering infra that never sleeps, I specialize in turning complex challenges into elegant, performant solutions.
I architect systems that are resilient under pressure, modular by design, and future-proof at their core — using technologies like Java, Spring Boot, Redis, TiDB, Kafka, and Apache Spark. From designing event-driven pipelines to creating automation-first workflows, my code lives at the intersection of clarity, consistency, and raw computational power.
Fueled by a background in competitive programming, I approach problem-solving with precision and speed — optimizing not just for today, but for the demands of tomorrow.
I believe the backend isn’t just support — it’s where architecture meets artistry. And I’m here to push boundaries, write systems that scale like stories, and quietly make magic happen behind the scenes.
Let’s build the backbone of what’s next.
Software Development Engineer II
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FTE
Highlights
Architected and optimized a high-throughput financial computation platform achieving 53,000 QPS through TiDB optimization and 36,000 QPS via Redis/Lua scripting integration, enabling mission-critical real-time transaction processing at scale.
Spearheaded automation initiatives for complex financial calculations, resulting in a 75% reduction in manual processing effort while maintaining 99.99% accuracy. Successfully integrated multiple third-party systems, streamlining cross-platform operations.
Designed and implemented a sophisticated data processing pipeline utilizing Medallion Architecture, efficiently handling ~500GB daily financial data volume. Delivered crucial analytics and compliance reports for legal, tax, and business stakeholders while ensuring data integrity and accessibility.
Software Development Engineer
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FTE
Highlights
Led mission-critical financial data processing transformation, implementing Lambda architecture with Apache Spark, BigTable, and Pub/Sub, resulting in a 3-5 hour reduction in reporting time and ensuring regulatory compliance.
Engineered an advanced anomaly detection system with pluggable connectors, processing millions of daily transactions and reducing alert delivery time from 5 hours to 1 hour. Implemented automated differential analysis for enhanced accuracy and reliability.
Achieved 67% cost reduction (₹8.28L monthly savings) through strategic resource allocation and workload optimization.
Engineered a robust microservices ecosystem using Spring State Machines for financial data orchestration, delivering 99.9% system uptime while implementing comprehensive security protocols.
Established automated issue tracking and oncall management system, delivering 40% improvement in Mean Time to Resolution (MTTR).
Architected a comprehensive validation framework supporting 1000+ customizable rules with 99.99% accuracy, encompassing business-specific, standard, and custom validations.
Reduced deployment frequency by 80% through configuration-driven development architecture and automated CI/CD pipelines.
Successfully executed Spark 3 migration and database optimization initiatives, achieving 50% runtime reduction in core financial data processing and significantly improving SLA adherence across critical business operations.
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Bachelor of Technology
Computer Science Engineering
Grade: 9.46/10
Awarded By
Flipkart
Received multiple prestigious recognitions at Flipkart including the Value Champion, Ace Alliance, and Mission Impossible Awards for exceptional performance and contributions.
Native
Fluent
Java, Scala, Python, HTML5, CSS3, ReactJS, Spring Boot, Dropwizard, RESTful APIs, Apache APISIX, Business Process Automation: Flowable.
MySQL, TIDB, Redis, HBase, BigQuery, BigTable.
Apache Spark, Apache Kafka, Apache Pulsar, Apache Zookeeper.
GCP, Kubernetes, Docker, Jenkins, Git, Ansible, Grafana, Prometheus.
Summary
Engineered an innovative web application leveraging Google's ROBERTa model (125M parameters) for automated code-to- documentation generation, implementing a custom fine-tuning pipeline using GitHub code datasets to optimize the pre-trained model for technical documentation accuracy and completeness.
DSA Technical Trainer
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Highlights
Mentored and trained 750+ students in DSA through structured lectures, while orchestrating coding contests to enhance practical problem-solving skills and algorithmic thinking.
Designed and executed competitive curriculum frameworks, combining theoretical concepts with hands-on assessments, demonstrating strong leadership and communication abilities.