Sachin Arjun Shinde

7+ years of IT experience in application development, website design, and system integration. Delivered impactful solutions utilizing Python, Generative AI, Django, Flask, AWS, and Azure services, while enhancing client relationships through effective communication and proactive engagement. Committed to driving project success and exceeding organizational goals using Agile methodologies.

• Legal Document Summarization using GenAI Tool with Azure Deployment, Python, FastAPI, Langchain, Generative AI tools, Azure OCR, Azure Cosmos DB, Azure Key Vault, Azure Web App, Azure DevOps (Git), Salesforce, OpenAI (GPT/Embeddings), Multithreading, Docker, Developed a robust legal document summarization tool that extracts files from Salesforce, processes them using Generative AI tools like Azure OCR, summarizes the content with Large Language Models (LLMs), and stores structured results and embeddings in Azure Cosmos DB for downstream retrieval and analysis.
• Generative AI-based RAG Chatbot for Operational Efficiency Insights, Python, FastAPI, Generative AI Framework LangChain, Streamlit, Azure OpenAI, Docker, Azure DevOPS, Azure Key vault, Azure web app, Developed a Retrieval-Augmented Generation (RAG) solution to answer queries on Operational Efficiency Parameters (OEP) using unstructured sales data (~1 lakh rows).
• NLE Data Transformation service, Python, Apache NiFi, Git, Unit test, Jira, postman, In initial development phase-1 only CSV and JSON format supported users can transfer their data to a NGSI-LD format supported users.
• Insurance System Solution, Python, MySQL, Django, Git, Django REST API, Unit test, AWS-EC2, This Insurance Management System is a distributed application of insurance company which is developed for tracking the details of the insurance policy, customer details and company details.
• Courier Application Service, Python, Flask, PostgreSQL, Git, REST API, unittest, Courier Management System is a project which is developed to provide an interactive platform between clients and Courier Management System Solution (CMS Solution).

Key Achievements

• Developed enterprise-grade GenAI and RAG solutions that automated legal document analysis and business knowledge retrieval, reducing manual effort by 85%, improving document processing accuracy to 95%+, and enabling business users to retrieve insights in under 10 seconds instead of 15–20 minutes.
• Engineered high-performance AI pipelines using FastAPI, LangChain, Azure OpenAI, multithreading, multiprocessing, and asynchronous processing, increasing document processing throughput by 3×, reducing end-to-end execution time by 60%, and supporting 100K+ enterprise records with scalable cloud deployment.
• Optimized semantic search and vector retrieval by fine-tuning chunking strategies, embeddings, and Azure Cosmos DB Vector Search, improving answer relevance by 40%, reducing hallucinations by 35%, and significantly increasing user confidence in AI-generated responses.
• Built secure, cloud-native production systems on Microsoft Azure using Docker, Azure Web Apps, Azure DevOps CI/CD, and Azure Key Vault, reducing deployment time by 70%, achieving 99.9% application availability, and accelerating feature releases with automated delivery pipelines.
• Delivered end-to-end enterprise automation solutions by integrating Salesforce, OCR, REST APIs, and distributed data processing services, eliminating 75% of manual data handling, reducing operational costs, and enabling faster business decision-making across legal, insurance, logistics, and operational analytics domains.

• Marathi
• Hindi
• English

• Date of Birth: 06/18/89
• Marital Status: Married

• Azure AI Engineer Associate
• AWS Solutions Architect Associate