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Senior Node.js Developer with 4+ years in Backend & AI/LLMs
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Assessing your cultural and operational fit
With 4 years of hands-on experience as a software engineer, I have honed my skills in developing robust and scalable software solutions. My journey in the tech industry has equipped me with a deep understanding of various programming languages, frameworks, and methodologies. I have successfully contributed to multiple projects, leveraging my expertise to solve complex problems and deliver high-quality products.
Utkal University
Bachelor Of Science
N/A – Present
GIET University
Master of Computer Applications (MCA)
N/A – Present
MicroSpark Software Solutions
Software Engineer
July 1, 2021 – Present
Hyderābād, Telangana, India
FraudShield AI
June 30, 2026 – Present
Architected and developed scalable microservices using NestJS, TypeScript, and Apache Kafka, enabling high-throughput processing of 10,000+ real-time financial transactions per second with fault tolerance and high availability. Designed and implemented event-driven architecture with Kafka producers and consumers, reducing service dependencies and improving system reliability during peak transaction volumes. Developed AI-powered compliance and fraud detection workflows using LangChain.js and Large Language Models (LLMs) to automatically generate investigation summaries and risk assessment reports. Optimized application performance through Redis distributed caching, reducing API response times and risk-evaluation latency to less than 50ms while increasing overall system throughput. Built and maintained CI/CD pipelines with GitHub Actions, automating testing, build, and deployment processes, enabling faster releases and zero-downtime deployments across production environments. Containerized microservices using Docker and deployed applications on AWS ECS, ensuring scalable, secure, and highly available cloud infrastructure.
TaskMind
June 30, 2026 – Present
Engineered a multi-tenant collaboration platform supporting thousands of concurrent users through real-time WebSocket communication. Developed an AI Team Agent framework leveraging OpenAI Assistants API and vector embeddings to automate task allocation, sprint risk analysis, and code review assistance. Eliminated concurrency issues using Redis Distributed Locking (Redlock) and Optimistic Locking, ensuring data consistency during high-frequency updates. Implemented secure authentication using OAuth 2.0, JWT, and automated token rotation for enterprise-grade security. Maintained 99.9% system availability through API rate limiting, centralized logging, and performance monitoring with Prometheus and Grafana.
SprintFlow – Intelligent Agile Work Management Platform
June 30, 2026 – Present
Designed and developed a scalable Agile Project Management Platform using Node.js, NestJS, and PostgreSQL, supporting project planning, sprint management, backlog tracking, and team collaboration. Implemented real-time task updates and notifications using WebSockets, ensuring seamless synchronization of tasks, comments, and project activities across distributed teams. Developed secure Role-Based Access Control (RBAC) and authentication mechanisms, enabling granular permission management for administrators, project managers, and team members. Built customizable workflow pipelines, task boards, and automation features to streamline project execution, improve team productivity, and reduce manual effort. Created interactive analytics and reporting dashboards to track sprint velocity, team performance, project progress, and workload distribution, enabling data-driven decision-making. Containerized applications with Docker and deployed on AWS cloud infrastructure, leveraging Redis caching to enhance application performance, scalability, and reliability.
Cultural Fit Analysis
The candidate's project portfolio showcases diverse applications (fraud detection, collaboration platform, project management) and a consistent application of modern backend technologies. The emphasis on scalability, reliability, and performance across projects aligns well with a senior role in a fast-paced, technically driven environment. The use of AI/LLM technologies also indicates a proactive approach to adopting new tools and solving complex problems, which is a positive cultural indicator.
Soft Skills & Operational Fit
The candidate's project descriptions highlight collaboration, problem-solving, and a focus on delivering robust solutions, indicating a good operational fit. The experience in Agile environments suggests adaptability and teamwork. The detailed descriptions of architectural decisions and performance optimizations demonstrate strong analytical and critical thinking skills.