nikhil97agr

Hi, I'm a Backend & Distributed Systems Engineer 👋

Backend Software Engineer with nearly 6 years of experience architecting resilient distributed systems, event-driven platforms, and high-throughput microservices. Expert in Java/Spring ecosystems and relational/NoSQL datastores, with a proven track record of optimizing transaction latency, mitigating platform fraud risk, and establishing strict observability pipelines. Driven by complex architectural challenges and world-class algorithmic execution.

🏆 Global Milestone: Among the very few people globally who solved all available 3900+ LeetCode problems, reaching a peak Global Rank of 4 out of 5M+ users.

⏳ Integrated Workflow Timeline

A chronological look at production impacts, architectural ownership, and core system optimizations over my career:

🔹 Backend Engineer III • Tide

Adaptive Data Acquisition Framework (ADAF): Designed and developed an end-to-end, event-driven Request For Information (RFI) solution using Java, Spring Boot, PostgreSQL, and AWS SNS/SQS to streamline complex risk workflows. Engineered scalable REST APIs, custom database schemas, async processors, and notification pipelines that reduced transaction resolution times by 30–40%.
Agentic AI Document Verification Platform: Built and own an end-to-end automated verification engine that validates high-risk transaction documents to instantly flag forged proofs. Designed the system as a generic, extensible microservices pipeline using Spring Boot, PostgreSQL, and event-driven orchestration—saving $3M annually in fraud losses and allowing multiple internal teams to integrate seamlessly via asynchronous streams without building separate pipelines.

🔹 Software Engineer II • Akamai Technologies

SaaS Observability Platform: Built core backend-driven metric visualization flows for Akamai Cloud Pulse, tracking real-time infrastructure performance data down to a 1-minute granularity.
Developer Workflow Automation: Created custom GitHub workflows and communication bot bridges to automate PR cycles, accelerating internal deployment velocity.

🔹 Software Engineer II • Morgan Stanley

Risk Monitoring Microservices: Designed highly resilient Java microservices managing distributed time-series data and financial stress-testing logic.
Performance Optimization: Integrated Redis caching infrastructure to optimize complex database read paths and authored shared enterprise libraries across multiple microservice boundaries.
Test-Driven Development (TDD): Maintained 80%+ strict code coverage baselines integrated directly through SonarQube automation gates.

🔹 Software Engineer • LTIMindtree

Automation Engineering: Authored internal Python tooling for active telemetry checking across 15+ core resources, saving 100% manual operations overhead.
Internal Applications: Built enterprise financial utility tools using Spring Boot and MySQL to cut manual analytics operations.