About Me
As a Software Engineer at Seclore, I specialize in developing enterprise-grade security and compliance applications using modern technologies like React, TypeScript, Node.js, and Java Spring Boot. I'm passionate about building scalable solutions with a focus on clean architecture and performance optimization.
I have experience across the full development lifecycle, from design and implementation to testing and deployment. I'm adept at conducting code reviews, addressing production issues, and maintaining high standards of code quality and security compliance.
Frontend
React, TypeScript, JavaScript
Backend
Node.js, NestJS, Spring Boot
Database
PostgreSQL, MongoDB, Redis
DevOps
Docker, AWS, CI/CD
Professional Experience
Seclore
Mumbai, India
June 2023 - Present
Product Engineer
- •Developed and maintained 5+ enterprise-grade security and compliance applications using Java Spring Boot, React, and PostgreSQL, serving 50+ clients with critical security requirements
- •Conducted peer code reviews with a focus on static analysis, security compliance, and code quality adherence, ensuring 100% compliance with security guidelines and reducing defects by 15% over 3 months
- •Participated in on-call rotations, addressing production issues with a customer-first mindset, contributing to 99.9% system uptime and maintaining service reliability
Projects
Node.js Microservice for Secure File Sharing
- Built a Node.js microservice to handle 100K+ monthly file-sharing events with JWT-based secure access
- Improved download performance by 30% using async streaming and Redis caching
- Enabled end-to-end logging for compliance, improving audit coverage by 100% across secured shares
Full-Stack Dashboard for Real-Time Access Control Insights
- Built a real-time dashboard using React, TypeScript, Node.js, and PostgreSQL to display over 50,000+ daily access logs
- Reduced backend response times by 35% through optimized NestJS APIs and efficient DB indexing
- Implemented a CI/CD pipeline that enabled weekly deployments with zero downtime
Customer Support Automation using RAG
- Developed a customer support automation system using Retrieval-Augmented Generation (RAG) to handle 80% of repetitive Tier 1 queries
- Automated ticket classification (95%+ accuracy), response generation, and document recommendations using a vector store-backed architecture (Pinecone + LangChain)
- Reduced first-response time by 60% (from 10 minutes to under 4 minutes on average) through intelligent auto-responses
Skills & Expertise
Frontend
TypeScript, JavaScript, React
Building responsive and interactive user interfaces with modern web technologies.
Backend
Node.js, NestJS, Spring Boot, Java
Creating robust server-side applications with focus on scalability and clean architecture.
Databases
PostgreSQL, MongoDB, Redis, MySQL
Designing and implementing efficient database schemas and queries for optimal data management.
Architecture
Microservices, REST APIs, Agile
Designing scalable system architectures with modern development methodologies.
DevOps
Docker, Git, AWS (ECS, S3), Terraform
Implementing CI/CD pipelines and infrastructure as code for automated deployments.
Testing
Selenium, Postman, Jest, Cypress
Ensuring code quality through comprehensive testing strategies.
Education
Bachelor of Engineering (B.E.) in Computer Engineering
Thakur College of Engineering & Technology
Mumbai
2023
CGPA: 8.6
Certifications
Python for Everybody Specialization
Skills
- Automation and Scripting
- Machine Learning & AI Integration
- Data Engineering
Get in Touch
Contact Information