Software Engineer Intern @ 24 and Up | MS in Computer Science @ NC State University

Building scalable full-stack applications and cloud infrastructure with AI-powered features. Experienced in architecting systems that process 500+ operations with 90%+ accuracy and reducing processing times by 96%.

• Engineering AI platforms with RAG systems and serverless architecture at 24 and Up
• Pursuing MS in Computer Science at NC State University (GPA: 3.78/4.00)
• Building cloud-native infrastructure with AWS, Terraform, and ECS Fargate

Software Engineer Intern @ 24 and Up · Sept 2025 – Present · Raleigh, NC Next.js TypeScript PostgreSQL Prisma ORM Inngest

• Architected AI platform with 44 REST APIs and 19 models processing 500+ resumes at 90%+ accuracy
• Engineered RAG system reducing AI errors by 85% with serverless queue supporting 10+ uploads at 99.9% uptime
• Built ATS engine increasing passage rates by 40% and reducing processing time by 96% via real-time benchmarking

Full Stack Developer Intern @ Divine Infosys · Jun 2023 – Jul 2023 · Ahmedabad, India MERN Stack REST APIs

• Designed tour booking application using MERN stack with 15+ REST APIs, reducing response times by 20%
• Collaborated with Agile team deploying RESTful APIs, reducing failures by 30% through code reviews
• Constructed restaurant website with real-time menu sync via 3 APIs, achieving 98% uptime and mobile-first design

Application Developer Intern @ Biztic Technologies · Apr 2023 – May 2023 · Ahmedabad, India MERN Stack React Native

• Established MERN club management system with booking flow, reducing backend processing time by 25%
• Launched React Native app for iOS/Android users, cutting crash rate by 40% through systematic testing
• Configured CI/CD pipeline with 3-developer team, accelerating deployments by 35% using streamlined QA

Backend Development Intern @ Power Research & Development Consultants · Jun 2022 – Jul 2022 · Bangalore, India .NET Core Angular SSMS

• Revamped .NET/Angular employee portal for 200+ users with role-based access, reducing unauthorized attempts by 90%
• Optimized SQL queries in SSMS, improving report generation performance and system reliability

AWS Terraform Lambda ECS Fargate RAG Gemini 1.5 Pro GitHub Actions Docker

• Architected AI-driven self-healing platform on AWS using ECS Fargate, Lambda, CloudWatch, and ALB with Terraform IaC, automating incident detection to recovery achieving 88% faster MTTR
• Developed dual Lambda architecture with Fault Router extracting CloudWatch incident context and integrating Backboard.io RAG + Gemini 1.5 Pro for autonomous code patch generation and repository commits
• Provisioned complete AWS infrastructure (VPC, ECS, ECR, IAM, CloudWatch) with Terraform, orchestrating blue/green Fargate deployments via GitHub Actions CI/CD pipeline

Ansible PostgreSQL Docker GitHub Actions Nginx systemd

• Built automated failover system with PostgreSQL WAL streaming replication, achieving zero-downtime switchover between primary and standby servers
• Engineered Ansible playbooks automating deploy, failover, and failback workflows, reducing manual intervention and accelerating recovery time across distributed nodes
• Implemented health monitoring with automated failover triggers, load balancing via Nginx, and CI/CD pipeline for continuous deployment to multi-server infrastructure

Languages

Frontend & Frameworks

Backend & APIs

Databases

Cloud & DevOps

AI/ML & Data

• 🎓 M.S. Computer Science @ NC State University (GPA: 3.78/4.00)
• 🎓 B.Tech with 9.53/10.00 GPA @ Pandit Deendayal Energy University
• 🤖 Built AI platform processing 500+ resumes with 90%+ accuracy using RAG + LLMs
• ⚡ Reduced resume processing time by 96% through real-time ATS benchmarking
• ☁️ Engineered AWS self-healing platform achieving 88% faster MTTR at hackathon

💡 Open to Software Engineering and DevOps/Cloud opportunities!