Cloud & Cybersecurity Engineer
AWS Solutions Architect with 3+ years building secure, scalable cloud infrastructure. Currently securing mission-critical government platforms at IRCTC. Pursuing IIT Guwahati Cybersecurity Certification.
About Me
I'm a results-driven IT professional with a rare intersection of cloud engineering, cybersecurity, and full-stack development expertise.
At IRCTC, I secure Java-based mission-critical booking systems serving millions of daily users — handling API security testing, log analysis for threat detection, and SQL-based financial validation. Previously at Cognizant, I architected AWS-native serverless applications using IAM, KMS, and VPC hardening, while building CI/CD pipelines and managing container orchestration.
My B.Tech in Computer Science (Cloud & Mobile Apps) from SRM University, combined with ongoing IIT Guwahati cybersecurity training, gives me a strong theoretical foundation to match my hands-on experience. I'm passionate about making software that is both fast and secure.
Technical Skills
A curated stack spanning cloud infrastructure, security tooling, DevOps, and full-stack development.
Portfolio
Real-world cloud, security, and data engineering solutions built from scratch.
Real-time behavioral analysis engine that detects automated bots on ticket booking platforms by passively collecting browser signals via an invisible JavaScript collector — zero user friction, no CAPTCHA required. Also includes a Chrome Extension for live session monitoring on a target machine without source code access, demonstrating non-invasive security tooling integration into existing production environments.
End-to-end serverless architecture using Lambda, API Gateway, S3, DynamoDB, IAM, and CloudFront. Implemented secure access controls and automated deployment via AWS CodePipeline.
Designed a customer data ingestion pipeline using Redshift, S3, Glue, and VPC security configurations. Implemented encryption at rest and in transit, IAM role separation, and automated data quality checks.
Interactive sales KPI dashboard using AWS QuickSight, connected to Redshift data warehouse. Features drill-down capabilities, automated report scheduling, and role-based access control for sensitive data.
Machine learning model for predicting COVID-19 transmission patterns. Achieved 94% accuracy using ensemble classification. Research published in IEEE Xplore — peer-reviewed contribution to pandemic analytics.
Smart campus assistant built with IBM Watson NLP to handle student queries, course information, and campus navigation. Deployed as a web-embedded chatbot with real-time intent classification and fallback handling.
Credentials
Industry-validated credentials across cloud, security, and software development domains.
Job Simulations
Career History
Let's Connect
Open to Cloud Engineer, SOC Analyst, DevSecOps, and Application Security opportunities.