Backend & Generative AI Software Engineer
Resume:
ARPITA RAUT
Software Engineer
***********@*****.***
https://www.linkedin.com/in/arpita-r
a ut-532771210
Pune, Maharashtra India
SUMMARY
Passionate Software Engineer with 4.5+ years of experience in backend development and AI-driven application development. Proven expertise in designing and building scalable, high-performance, and production-ready solutions, including backend systems, REST APIs, and Generative AI applications. Experienced in developing Advanced RAG-based chatbots, intelligent automation solutions, and end-to-end AI workflows, while contributing to system architecture, performance optimization, observability, and cross-functional collaboration EDUCATION
● Bachelor Of Computer Science University of Savitribai Phule Pune 2018-2021 Score : 85.89%
● Masters of Computer Science Sir Parashurambhau College Pune 2021-2023 Score:74.75%
Skills
Python, Django, REST, APIs, Celery, RAG AI, Advanced RAG, LangChain, LangGraph, Dialogflow, Crawl4AI, Agentic AI, HTML, CSS, Grafana, Docker, AWS EC2, AWS Lambda, AWS IoT Core, AWS IAM, AWS CloudWatch, AWS S3, PostgreSQL, DynamoDB, Django ORM, Vector Databases, ChromaDB, Git, Jira, Slack, VS Code, DBeaver, Postman, OpenTelemetry (OTel) Logs EXPERIENCE
October 2024 - Present
Josh Software, Inc. l Pune, Maharashtra India
Software Engineer J11
● Worked as a Backend & AI Engineer, designing and developing AI-driven applications by integrating LLMs, RAG pipelines, and backend services.
● Designed, developed, and maintained scalable backend services and REST APIs, ensuring high performance, reliability, and maintainability.
● Evaluated and integrated open-source AI technologies, including LLMs, embedding models, vector databases, and orchestration frameworks, to build production-ready AI solutions.
● Working in a product-based environment specializing in backup and restore solutions for workloads like SharePoint, OneDrive, and Microsoft 365 Groups.
● Involved in Low-Level Design (LLD) of project components to ensure maintainability and scalability.
● Integrated OpenTelemetry (OTel) for enhanced observability and created Grafana dashboards for visualizing metrics and logs.
● Wrote logic that efficiently handles and manages data from multiple products within a unified system.
● Collaborated with clients to gather requirements and deliver tailored, efficient solutions. Aug 2022- Oct 2024
Thinkitive Technologies Pvt ltd l Pune, Maharashtra India Software Engineer E2
● Contribute across the entire software development lifecycle, from design and implementation to deployment and client engagement.
● Regularly participate in client calls and software demos to gather feedback and ensure tailored solutions.
● Possess extensive experience in Python, Django, and REST APIs, with a focus on backend development.
● Played a key role in IoT-based projects, leveraging AWS services like EC2, Lambda, and IoT Core.
● Deployed scalable applications on AWS EC2 using Docker for containerization and reliability.
● Stepped into leadership roles, guiding teams and ensuring timely, high-quality project deliveries. PROJECTS
AI-Powered Banking Chatbot (Advanced RAG-based)
Role : Backend Developer
Technologies: Python, LangChain, LangGraph, Dialogflow ES, Advanced RAG, Crawl4AI, Celery, PostgreSQL, Redis, Vector Databases, Hugging Face, Ollama, Whisper (STT), Text-to-Speech (TTS), Gemma, Mistral, Qwen
● Developed an AI-powered banking chatbot using an Advanced RAG pipeline to deliver accurate, context-aware responses from banking website content.
● Built an asynchronous data ingestion pipeline using Crawl4AI and Celery to crawl websites, chunk documents, generate embeddings, enrich metadata, and store data in a vector database for semantic search.
● Designed and implemented an Advanced RAG workflow with query expansion, semantic retrieval, metadata filtering, re-ranking, and LLM prompting to improve response accuracy.
● Integrated multiple open-source LLMs (Gemma, Mistral, Qwen) through Ollama and Hugging Face, enabling flexible model selection and inference.
● Implemented multilingual voice support by integrating Whisper for Speech-to-Text (STT), translating user queries to English for processing, and generating spoken responses using Text-to-Speech (TTS).
● Developed conversational workflows using Dialogflow ES, optimized chatbot performance with Redis-based session management and caching, and improved retrieval quality through semantic search and context-aware prompting. Dell MSR(Multi System Reporting)
Role : Backend Developer
● Developed a service to automatically collect and manage customer data from PPBS systems.
● Implemented secure authentication mechanisms for protected access and data privacy.
● Built robust modules to gather customer data and manage system information efficiently
● Designed with a clean code structure for readability and ease of maintenance.
● Incorporated custom data validation and detailed error handling to ensure accuracy and reliability.
● Integrated comprehensive logging for monitoring and troubleshooting and delivered clear error
● Achieved automated data collection, reducing manual effort and operational errors and ensured the solution was easy to maintain and reliable in production environments.
● Contributed to business goals by improving data accuracy, reducing manual workflows, and enabling secure, scalable data management.
Electronic Health Record (U.S Based Client)
Role : Backend Developer
● Enhanced healthcare processes by integrating diverse EHR systems (Athena, Epic, OpenEMR, Cerner, AdvancedMD, NextGen) through a unified API.
● Managed user authentication to ensure secure access to the EHR bridge for API calls using Django REST framework methods. Utilized Celery with periodic tasks to automate API calls and send data to webhooks at regular intervals.
● Set up the project using Cookiecutter in Python for standardized project structure.
● Deployed the project on an EC2 instance, ensuring scalability and reliability. Sensor Management (U.S Based Client)
Role : Backend Developer
● The IoT project enables sensor device registration (temperature, humidity, network strength) integrated with AWS IoT Core. Real-time data is collected, saved, and displayed on a dashboard with historical readings and device status updates.
● Designed and implemented a robust system for managing sensor data with seamless integration of LoRaWAN-enabled devices using Python and AWS IoT Core.
● Developed user-friendly interfaces for remote device management and automated tasks with boto3
● Implemented real-time data processing using AWS Lambda and stored modified live data in DynamoDB. Collaborated with cross-functional teams to align the platform with user requirements and industry standards. CERTIFICATION
Python Full Stack Web Development Certificate
Institute : Unique System Skills
HackerRank Python (Basic) Certificate
ID : 8087fe515bab https www.hackerrank.com/
certificates/8087fe515bab
HackerRank Problem Solving (Basic) Certificate
ID : b8cd35f8b46f https www.hackerrank.com/certificates/b8cd35f8b46f
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