As a versatile and innovative software developer, I specialize in crafting robust and scalable solutions using a diverse range of technologies. With a strong foundation in computer science, I excel in programming languages such as Java, C, C++, Python, JavaScript, React JS, Node JS, and SQL.
Experience
2025 — Now
Designed and implemented a distributed air cargo validation platform using AWS CDK, EventBridge, and Lambda, achieving a
60% increase in system efficiency and eliminating redundant payment processing across carrier networks
Developed scalable RESTful APIs and a custom rule engine to detect anomalies in over 50 concurrent flight operations handling
$20M+ in cargo, ensuring reliability and fault tolerance under real-time workloads
Built and optimized CI/CD pipelines with CloudWatch metrics, alarms, and dashboards, enabling automated testing and monitoring
that reduced system load by 40% and improved release confidence
Engineered an extensible DynamoDB schema leveraging adjacency list patterns and GSIs, enhancing query performance and
supporting many-to-many data relationships across distributed systems
Implemented GraphQL APIs in TypeScript and automated integration tests, reducing production deployment time by 80% and
ensuring high availability in serverless environments.
2023 — 2024
Woburn, MA
Led development of an end-to-end traceability platform using Python Dash and PostgreSQL to track 60,000+ HTS tapes across 10+
manufacturing processes, accelerating vendor-to-inventory decisions by 90% and cutting manual lookup time by 75%.
Designed and deployed a secure, scalable architecture on GCP with Azure AD SSO, role-based access for 100+ users, and
autoscaling enabled through Nginx reverse proxy and firewall rules, maintaining 99.9% uptime with 5000+daily requests.
Integrated CI/CD pipelines using GitHub Actions to automate test and deployment flows across DEV and PROD environments,
reducing release cycles by 50% and improving rollout stability in alignment with continuous improvement practices.
Applied agile principles and robust development practices to build and deliver MVPs for quality-check workflows and inventory
optimization, achieving 2% cost savings and a 60% improvement in inventory accuracy while utilizing Test Driven Development
Optimized Nginx performance via compression, caching, and connection pooling, reducing load time by 20% and server latency
by 35%, which doubled concurrent user handling capacity, while adding RBAC based access controls to boost security by 80%
2021 — 2023
India
Built and scaled a microservices-based portfolio management platform using Java, Spring Boot, and REST APIs, improving system scalability by 40 % and cutting inter-service latency by 25 % through efficient load balancing, asynchronous calls, and caching
Implemented event-driven architecture with Apache Kafka, enabling real-time trade and risk data synchronization across distributed services; achieved stable throughput of 5 K+ messages/sec and improved data delivery latency by 40 %.
Optimized Oracle RDBMS schema, indexing, and stored procedures to support millions of transactions, reducing query execution time by 35 % and boosting API responsiveness for analytics-heavy workloads.
Containerized and deployed services using Docker on AWS ECS & RDS, achieving 99.9 % uptime and near-zero downtime updates, integrated Splunk and Dynatrace for monitoring, cutting incident resolution time by 50 % through real-time insights.
Collaborated closely with cross-functional teams, particularly with financial analysts and stakeholders, to refine software solutions, ensuring they aligned with industry standards and met evolving regulatory requirements.
India
Research Project – Cloud-Native Web Application Jan 2021-May 2021
Architected and deployed a production-grade cloud-native platform on AWS using React, Node.js, Sequelize ORM, PostgreSQL, Terraform, and Packer, achieving 99.9% availability and fault tolerance under simulated workloads.
Developed RESTful APIs with Basic Authentication and Sequelize driven DB bootstrapping, cutting provisioning from hours to minutes (100% automation) while enforcing secure password storage and schema initialization
Automated infrastructure provisioning VPCs, subnets, route tables, security groups, RDS and CI/CD pipelines Terraform, Packer, GitHub Actions, reducing infra errors by 80%, deployment failures by 70%, and release cycles by 50%.
Deployed secure, scalable systems with AMI and ALB rolling refresh, improving monitoring by 90% and issue detection by 60%.
Education
Northeastern University
Master of Science
Jawaharlal Nehru Technological University