Java Backend Developer with AI/ML Focus

MRUDULA DEVAGUPTAPU

Albany, NY–***** (***) ***–**85 ********************@*****.*** linkedin.com/in/mrudula-devaguptapu-33454a14b github.com SUMMARY

AI & Software Engineer with 3+ years of experience building scalable backend systems and AI-driven applications using Java, Python, and Spring Boot. Experienced in Generative AI, LLMs, and RAG pipelines, along with developing high-performance REST APIs, microservices, and optimized SQL systems. Skilled in deploying cloud-native solutions on AWS, GCP, and Docker-based CI/CD environments within Agile teams. TECHNICAL SKILLS

Languages: Java, Python, SQL

AI / Machine Learning: Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Generative AI, Natural Language Processing (NLP), Model Fine-Tuning, PyTorch, JAX

Backend & APIs: Spring Boot, Hibernate, JPA, JAX-RS, RESTful APIs, Microservices Architecture, JWT Authentication Databases: MySQL, PostgreSQL, Oracle

Cloud & DevOps: Google Cloud Platform (GCP), AWS, Docker, Jenkins, Maven, Git, CI/CD Pipelines Tools & Frameworks: Angular, JUnit, Excel Automation, XLA/MLIR Practices: Agile/Scrum, Software Development Life Cycle (SDLC), Unit Testing, Debugging, API Design, Performance Optimization PROFESSIONAL EXPERIENCE

AI Engineer Intern 360DMMC Consulting MO, USA September 2025 – Present

● Developed and fine-tuned AI-driven applications by integrating RAG pipelines and fine-tuning large language models using Python, PyTorch, and JAX on datasets exceeding 2M samples, improving performance across NLP tasks.

● Assisted in building scalable AI data preparation pipelines to clean, tokenize, and structure multi-source training corpora, enabling dataset versioning and supporting large-scale model training experiments.

● Supported optimization of AI training workflows using GPU parallelization and XLA/MLIR acceleration, improving efficiency of iterative model training and experimentation.

● Collaborated with AI engineers, data teams, and product stakeholders to evaluate model outputs, analyze errors, and refine post-training strategies to enhance AI model capability.

Software Engineer Intern Ascus Tech Remote (USA) May 2025 – August 2025

● Engineered RESTful backend services using Core Java, Spring Boot, Hibernate, and JPA, delivering 3+ production APIs supporting structured product lifecycle and catalog management workflows.

● Automated product engineering data workflows by creating Python and Excel-based utilities that processed 6+ datasets and over 1,200 product records per release cycle, minimizing repetitive manual data preparation.

● Refactored and tuned complex SQL queries used in high-volume transactional operations, reducing query latency by approximately half a second per execution across large relational tables.

● Coordinated with engineering, IT, and manufacturing teams to validate multi-level BOM structures, document product governance rules, and support Agile testing cycles through unit tests and defect triaging. Software Engineer Tata Consultancy Services India August 2021 – December 2023

● Architected RESTful backend services using Java, JAX-RS, Spring Boot, and JSON, delivering 6+ production-grade APIs that enabled secure data exchange between microservices and Angular-based frontend modules deployed on AWS infrastructure.

● Orchestrated the design and deployment of container-ready microservices using Spring Boot, Hibernate, and JPA, integrating Postgres and Oracle databases to support high-availability enterprise applications.

● Optimized complex SQL queries and ORM mappings within Hibernate frameworks, improving response efficiency for large transactional datasets exceeding 100K records processed through backend services.

● Implemented automated CI/CD pipelines using Maven, Git, and Jenkins, standardizing build and deployment workflows across 4+ development environments and reducing manual release dependencies.

● Strengthened application stability by conducting unit testing, debugging production defects, and collaborating in Agile sprint cycles, contributing to consistent delivery of bi-weekly software releases.

● Partnered with cross-functional teams (frontend, QA, DevOps, product) to integrate Angular UI with RESTful microservices, delivering multiple end-to-end full-stack features across distributed applications. P ROJECT

E-Commerce Backend Service Java, Spring Boot, Hibernate, MySQL, REST APIs, JWT, JUnit, Generative AI

● Constructed a secure backend using Java, Spring Boot, and MySQL, delivering 6+ REST APIs for catalog, authentication, and orders; optimized queries and ORM mappings to reduce response time by ~0.5s across 1000+ product records.

● Embedded a Generative AI–based product discovery feature using LLM APIs, enabling natural-language search and contextual recommendations across catalog categories, validated with 40+ unit tests. C ERTIFICATE

● GOOGLE ASSOCIATE CLOUD ENGINEER (GCP)

E DUCATION

Master's in Computer Science Saint Louis University St. Louis, Missouri January 2024 – December 2025

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