Backend API Development: Developed RESTful APIs with Java and
Spring Boot for the AI-Driven Member Engagement Platform, handling
500k+ daily queries and cutting response times by 25% via endpoint
optimizations.
Frontend UI Implementation: Created responsive components using
React and Angular for the member portal, delivering personalized
health insights that boosted engagement by 15% in user tests.
Cloud Infrastructure Setup: Architected solutions on AWS with S3,
RDS, and DynamoDB, migrating data assets to support scalable app
features and ensuring 99.9% uptime during peak loads.
Database Optimization: Wrote efficient SQL queries for MySQL and
MS SQL Server databases, integrating third-party services to
process health data and reduce query latency by 30%.
Deployment Automation: Managed containerized deployments with
Docker and CI/CD pipelines, automating updates for microservices
and decreasing error rates by 35% over the project.
Agile Testing and Integration: Collaborated in sprints to
integrate AI models with TensorFlow, conducting Python-based unit
tests and fixing issues for platform reliability.
Verizon - Software Engineer
Aug 2023 - May 2024
Project: Network Customer Portal
Frontend & UI Development: Developed React.js components with
WebSockets for real-time network status updates. Optimized Redux
selectors with Vanilla JavaScript utilities to trim memory usage
by 40%, fixing lag in high-traffic sessions.
Backend Services: Built Node.js microservices in Nest.js for user
profile management, implementing REST APIs secured by OAuth2.
Migrated user data from monolithic systems, ensuring seamless
transfers and slashing API response times from 800ms to 300ms.
Database & Data Handling: Modeled MongoDB collections for customer
interaction logs in a team effort, adding compound indexes for
queries on 1M+ records. Ran batch scripts to resolve data
inconsistencies, eliminating 200 duplicate entries and maintaining
99.9% accuracy.
Async & Event Processing: Configured Kafka topics for outage
alerts, processing 10,000 events daily. Debugged a partition
backlog by rebalancing consumer groups, restoring normal flow in
under an hour.
DevOps: Dockerized application modules and set up Kubernetes for
test environments, provisioning AWS resources via Terraform.
Refactored Jenkins pipelines to include automated tests, catching
5 deployment bugs early and cutting issues by 30%.
OwlSpark - Backend Engineer
May 2022 - Aug 2022
Candidate Assessment Module: Delivered a candidate assessment
module, integrating voice and video analysis with React.js,
Django, Generative AI and openCV, achieving a candidate
satisfaction rating of 4.5 out of 5.
Golang Microservices: Developed Golang microservices to assess
candidate profiles and match them to job openings, leveraging
Docker and Kubernetes for deployment, resulting in a 60%
improvement in processing speed and accuracy.
Messaging Architecture: Engineered lightweight messaging
architecture with Django Channels, Web Sockets, Redis with low
latency.
Monitoring and Analytics: Monitored pod and container statistics
by implementing Prometheus and Grafana to collect analytics and
identify issues, leading to a 20% cost savings in resource
utilization.
WarrantyMe - Software Engineer
Aug 2019 - June 2021
UI Development: Designed and developed reusable React.js
components using Hooks and Context API, creating a modular UI
architecture.
Dashbords: Built real-time analytics dashboards with React.js and
D3.js, enhancing system performance visibility and user
engagement. Implemented secure OAuth 2.0 and JWT-based
authentication across the frontend, protecting access to
dashboards and APIs for 400+ users.
API Integration: Developed RESTful APIs using Flask and PostgreSQL
to support real-time data operations for user and admin features.
Integrated third-party APIs to extend platform functionality,
resulting in improved customer experience and retention.
Infrastructure Automation: Deployed applications on AWS EC2 and
automated infrastructure provisioning using Terraform, reducing
environment setup time by 50%.
Monitoring: Monitoring with ELK Stack and AWS CloudWatch, enabling
proactive issue detection through real-time log analysis and
alerts.