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Schedule Interview NowMy name is Atul I. and I have over 3 years of experience in the tech industry. I specialize in the following technologies: Test-Driven Development, Flask, Git, DevOps, Amazon Web Services, etc.. I hold a degree in Bachelor of Engineering (BEng). Some of the notable projects I’ve worked on include: AI-Powered Policy Claims Analysis, Investor Assistant Chatbot, Microservice for PDF Generation using Quadient Templates and Pipelines, Microservices layer for B2B Credit financing company, Financing Process Automation - Tours & Riverboat Dining Cruise Company, etc.. I am based in Pune, India. I've successfully completed 9 projects while developing at Softaims.
I specialize in architecting and developing scalable, distributed systems that handle high demands and complex information flows. My focus is on building fault-tolerant infrastructure using modern cloud practices and modular patterns. I excel at diagnosing and resolving intricate concurrency and scaling issues across large platforms.
Collaboration is central to my success; I enjoy working with fellow technical experts and product managers to define clear technical roadmaps. This structured approach allows the team at Softaims to consistently deliver high-availability solutions that can easily adapt to exponential growth.
I maintain a proactive approach to security and performance, treating them as integral components of the design process, not as afterthoughts. My ultimate goal is to build the foundational technology that powers client success and innovation.
Main technologies
3 years
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1 Year
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Potentially possible
Amazon India
This AI-driven claims analysis solution was developed to assist claim managers in verifying the validity of insurance claims based on existing policy documents, renewal receipts, and amendments. By leveraging intelligent document processing, OCR, and an AI-powered chatbot, the system ensures accurate, automated claim validation while providing claim managers with actionable insights.
The Investor Assistant ChatBot is an advanced AI-powered platform designed to ingest publicly available company data and provide real-time, accurate responses to investor queries. By leveraging LLM-driven Retrieval-Augmented Generation (RAG) and enterprise-grade AI search capabilities, the chatbot ensures that investors receive the latest, contextually relevant insights about a company’s financials, market position, and strategic developments. Key features: Subscription Management Investor Interaction Analytics Customizable AI Responses User & Data Management Sandbox Mode for Internal Users
roject Overview: This project focuses on designing and implementing a microservice capable of generating PDFs using Quadient templates and pipelines. The microservice accepts data requests in predefined JSON/XML formats, processes them through Quadient-compliant pipelines, and provides clients with the ability to download the generated PDFs. Additionally, it includes success and error callback mechanisms to ensure reliable communication and tracking. Technologies: DAPR, FastAPI, XML Parsing, Azure Blob Storage, AWS S3, Quadient API Integration, MySQL, Flyway Database Versioning, Redis
Project Overview This project involved developing a comprehensive microservices layer for a business credit financing company. Our team consisted of 7 Python developers and 2 ReactJS developers. The application is structured in a layered architecture, decoupling the UI layer from the backend and database layers. Technology Stack - Backend: FastAPI - Database: PostgreSQL, SQLAlchemy - Patterns: Cosmic Python - AWS Services: S3, Lambda, CloudWatch
Project Overview: This web application streamlines and automates the financial processes for a cruise company, integrating various point-of-sale systems and ensuring seamless data collection, verification, and transaction processing. The system is designed to improve operational efficiency and accuracy, reducing manual efforts and errors. Technology Used: Python, PostgreSQL, Microservices, ReactJS, RabbitMQ, Celery, Toast Integration, FareHarbor Events, Amadeus Data Integration, Stripe Events, Sage Accounting System Integration
Bachelor of Engineering (BEng) in Computer science
2005-01-01-2009-01-01