Headline

Software Engineer @ Bosch | Java | Spring Boot | Python | FastAPI | Agentic AI | Azure | MongoDB | PostgreSQL

About

Software Engineer at Bosch Global Software Technologies with 2.5+ years of experience designing and developing scalable backend applications using Python (FastAPI) and Java (Spring Boot). Experienced in building RESTful APIs, backend services, cloud-native applications, and data migration solutions using MongoDB, PostgreSQL, and Microsoft Azure. At Bosch, I have contributed to enterprise projects including DiVeMIS, simuLAB, and iOPEN. My work includes developing backend services, designing REST APIs, implementing large-scale data migration pipelines, and modernizing enterprise platforms. I successfully migrated COSTA data from PostgreSQL to MongoDB by transforming relational data into an optimized NoSQL schema and implementing robust data validation and transformation using Pydantic to ensure data integrity and consistency. I enjoy solving complex backend engineering challenges involving scalable system design, database optimization, API development, and data processing. I focus on building secure, maintainable, and high-performance applications that deliver measurable business value. Beyond backend development, I actively explore emerging technologies such as Agentic AI and Large Language Models (LLMs). I have developed proof-of-concept solutions using LangChain, LangGraph, CrewAI, Gemini API, and OpenAI API to automate real-world workflows and intelligent decision-making. Technical Interests: Java • Spring Boot • Python • FastAPI • REST APIs • MongoDB • PostgreSQL • Azure • Docker • Git • Backend Architecture • Microservices • Agentic AI • LLMs I'm always excited to learn new technologies, collaborate with talented teams, and build scalable software that solves real-world problems.

Location

Pune/Pimpri-Chinchwad Area

Work experience

Associate Software Developer at Bosch Global Software Technologies, Jan 2024 - Present · 2 yrs 7 mos, Hybrid, DiVeMIS Designed and developed scalable backend systems using Spring Boot. Utilized Java 8 and Java 17 for backend development and optimization. Implemented cloud-based solutions on Microsoft Azure. Managed MongoDB and PostgreSQL databases. Built reliable backend services to improve application performance, scalability, and maintainability. simuLAB (Current Project) Working on simuLAB, a web-based Simulation and Process Data Management (SPDM) platform for storing, managing, sharing, and assessing engineering simulation data. Contributing to Simulation Data Management (SDM), Credibility Assessment (COSTA), and Simulation Process Management (SPM) modules. Developing scalable backend services and RESTful APIs using Python, FastAPI, and MongoDB. Designed and implemented data migration pipelines to import unstructured engineering data from Teamcenter and BSH data dumps into simuLAB instances. Migrated COSTA data from PostgreSQL to MongoDB, transforming relational data into a NoSQL schema while ensuring data integrity. Implemented Pydantic-based validation and data transformation to validate, sanitize, and standardize data before persistence. Optimized data ingestion, schema mapping, and backend workflows for efficient management of large-scale simulation data. iOPEN (Current Initiative) Evaluating and implementing open-source software (OSS) as cost-effective alternatives to commercial enterprise tools. Assessing OSS solutions for technical feasibility, scalability, security, and enterprise adoption. Contributing to implementation strategies, migration roadmaps, and the development of approved OSS toolchains. Supporting OSS adoption to reduce licensing costs while enabling scalable, secure, and customer-focused technology solutions.

Trainee at Bosch Global Software Technologies, Jan 2024 - Feb 2024 · 2 mos, On-site, Completed comprehensive training in SAP ABAP and Core Java, building a strong foundation in enterprise application development. Gained hands-on experience in backend development using Java, including object-oriented programming, exception handling, collections, JDBC, and SQL. Developed and tested backend components through practical assignments and coding exercises. Learned SAP ABAP programming concepts, including data dictionary objects, reports, modularization techniques, function modules, and database operations. Worked on mini-projects and practical exercises to understand enterprise software development, debugging, and code optimization. Collaborated with mentors and team members while following software development best practices and Agile methodologies.

Machine Learning Intern at Goeduhub Technologies, Jun 2020 - Dec 2020 · 7 mos, Remote, Developed machine learning models using Python and Flask for data-driven applications. Worked with OpenCV for image processing and computer vision tasks. Performed data preprocessing, cleaning, and exploratory data analysis to improve model performance. Built and evaluated predictive machine learning models using clinical datasets. Collaborated on developing backend components to integrate machine learning models into web applications.

Education

Bachelor's degree, Computer Science (ML & RPA), Lovely Professional University

CBSE 12th PCM With Computer Science, PRIYANKA MODERN SR. SEC. SCHOOL