To perceive a challenging career in the industry with an organization that offers high- end technical exposure and an opportunity where I may contribute to the growth of the organization and myself.
9.5 years of IT experience in Analysis, Design, Coding and Testing& Implementation using React-Redux,Javascript,typescript,css,core java,angular JS, Node JS, Mongo DB Jenkins, postman, putty, Jira, Artifactory , GitLab, kibana. Involved in all stages of SDLC including requirements gathering, high-level designing, detailed level designing, coding, testing, and deployment. Worked as Senior Front End Developer at Odex technology Worked as software Engineer at ENBD,UAE Worked as software Engineer at Etisalat, UAE Worked as a Software Engineer for LähiTapiola insurance company at CGI, India Worked as a Senior Systems Engineer for Core Banking at Infosys Ltd, India Good domain knowledge in Shipping,Telecommunication, Banking and insurance Industry. Extensive hands-on experience in angular JS, Node JS, Mongo DB Jenkins, postman, putty, Jira, Artifactory , GitLab
The following projects further detail my specific contributions within this role.
1. Smart Document Parser - Shipping Industry Automation (Odex Platform)
Role: Senior UI Developer (Full-Stack Contributor)
Tech Used: JavaScript, React-Redux, TypeScript, HTML, CSS, REST API, JSON, FastAPI (Python), Kibana,DevOps tools, AI/ML Models
Project Overview:
This project is a key component of Odex Technology's online document exchange and payments facilitation platform for the ocean shipping industry. More about the product can be found at https://online.odexglobal.com/. The smart document parser extracts and converts structured data from shipping-related files like PDFs and CSVs into machine-readable JSON. Crucially, it incorporates an advanced AI model capable of automatically identifying different document types and applying the correct parsing logic. This AI also monitors incoming documents and sends notifications when a new, previously unrecognized PDF document type is encountered, allowing for rapid adaptation and model enhancement.
Contributions:
2. AI Chatbot for Document Q&A (Prototype - In Progress)
Role: Frontend Collaborator / React Developer
Tech Used: JavaScript, React, REST API, Mistral AI, FAISS Vector DB, JSON, HTML, CSS
Project Goal: Building an AI-powered chatbots that allows users to upload documents and ask natural language questions, aiming to enable fast, contextual understanding of complex business documents using LLM (Large Language Model) + vector DB.
Contributions:
React-Redux