Software Engineering Social Media

Preetham Reddy Konuganti

623-***-**** • *.***************@*****.*** • linkedin.com/in/preethamreddykonuganti SUMMARY

Computer Software Engineering graduate with 2+ years of experience in fullstack, backend development, cloud services, and distributed systems. Actively seeking full-time Full Stack / Backend / DevOps Engineer roles starting Summer 2025. EDUCATION

M.S. Computer Software Engineering May 2025

Arizona State University, Tempe, AZ 3.96 GPA

B.Tech. Electronics and Communication Engineering May 2022 National Institute of Technology, Hamirpur, HP, India 7.68/10 GPA TECHNICAL SKILLS

Programming Languages & Frameworks: Java (Spring MVC, Spring Boot), JavaScript/TypeScript (React, Angular), HTML, CSS, Java EE (JMS, JPA), Hibernate, Python, C/C++, Go, Bash, SQL, gRPC, SREST, JSON, XML, Agile, JIRA, Confluence. Databases & Cloud: PostgreSQL, MongoDB, SQLite, MySQL, Apache Spark, Hadoop, Oracle DB, AWS (EC2, IAM, S3, SQS, Lambda, SNS).

Testing & CI/CD: GitHub, GitHub Actions, Docker, Kubernetes, Kafka, TDD, BDD Jenkins, Postman, JUnit. PROFESSIONAL EXPERIENCE

Auto BIM Route AI, Tempe, AZ: Software Developer Jan 2025 – May 2025

• Designed and built a scalable, full-stack social media platform using Next.js, NestJS, and Prisma in an NX monorepo, with Dockerized microservices and CI/CD via GitHub Actions.

• Integrated social media APIs (Twitter, Facebook, Telegram), OpenAI for content generation, AWS S3 for media storage, and Stripe for payments, supporting advanced scheduling and analytics.

• Implemented secure authentication (JWT, OAuth2.0), background job processing with BullMQ and Redis, and optimized performance with SWR caching, SSR, and rate limiting. Deloitte, Hyderabad, India: Software Developer July 2022 – July 2023

• Designed a real-time, multi-tenant Spring Reactive app for top K image retrieval using cosine similarity on ML- generated embeddings, with Redis for 500k+ vector lookups/request and Kafka for fault-tolerant auditing

• Benchmarked Qdrant, Milvus, and ElasticSearch; integrated Qdrant to cut p99 latency from 2000ms to 75ms at 500 QPS and boost accuracy from 88% to 96%.

• Developed a Spring Boot config management service with REST APIs and MySQL backend, supporting rule/model versioning, promotions, rollbacks, and RBAC.

• Built a Spark application for validating rule/feature/model updates using 10M-row daily HBase data in 10 mins, with support for concurrent evaluations by analysts.

Cognizant, Hyderabad, India: Software Development Intern Jan 2022 – Jun 2022

• Modernized a legacy enterprise application by migrating to a modular architecture using Next.js, Angular 13, and Spring Boot, deployed on AWS EC2 and S3, resulting in a 25% boost in performance.

• Developed a dynamic reconciliation engine using Oracle PL/SQL, shell scripting, and AutoSys, reducing data discrepancies by over 99% across complex datasets. PROJECTS

Distributed Parallel File System, Class Project Fall 2023

● Developed a parallel file system leveraging gRPC and Protobuf, enabling access across 8+ nodes with file striping for efficient data distribution and supporting file sizes up to 228 bytes under high-concurrency conditions.

● Optimized system performance to support up to 210 concurrent clients and manage up to 216 concurrently open files, by applying token-based synchronization, client-side LRU caching, and multithreaded processing with pthreads Pollit.online, Personal Project Summer 2024

● Developed a full-stack polling platform with React, Node.js, and MongoDB, enabling users to create, vote on, and explore polls with real-time updates via Socket.io and dynamic chart visualizations.

● Implemented secure authentication, rate limiting, image uploads to AWS S3, and deployed services on AWS with Docker and CI/CD pipelines using GitHub Actions.

Auto Scalable Face Detection Using AWS Services, Class Project Summer 2024

● Built a low-latency face detection system using AWS EC2, Lambda, SQS, and EFS, achieving <1s image processing by serving heavy deep learning models via EFS-mounted Lambdas.

● Designed a custom auto-scaling controller to dynamically scale EC2 instances based on real-time demand, ensuring efficient resource utilization and responsive throughput. Distributed Electronic Banking System, Class Project Fall 2024

● Deployed a highly available, sharded MongoDB cluster with replica sets, config servers, and mongos routers to support 100,000 concurrent financial transactions, achieving 100ms query latency through optimized shard keys and replication strategies.

ACTIVITIES

• Secured a grant of $15000 for Pollit at 2025 Summer Founders Program conducted at Penn State University.

• Achieved 2nd Runner-up in SoDA Code Challenge XI among 200+ participants.

• Served for 1 year as a Graduate Service Assistant for Computer Systems, Software Enterprise & Software Systems, where I developed Bash scripts for auto graders, graded assignments, and assisted students with programming doubts and course concepts.

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