Computer Vision | Full Stack Developer
Software Engineer with extensive experience in AI and computer vision full stack solutions, product development, and cross-functional collaboration. frontend and backend. Skilled in computer vision and Agile methodlogies
Deloitte
Worked on Agentic Rag Fusion based Enterprise level solution, having multi agent orchestration Led the development of a RAG-based AI chatbot, improving customer satisfaction by 60% through enhanced contextual responses and seamless cloud integration with Azure AI Search. Managed cross-functional teams to deliver solutions on time. Enhanced chatbot with computer vision: Enabled deep learning, visual query processing for image analysis and OCR, delivering context-aware responses to documents and user-uploaded images and intracted with Reactjs/Nextjs application.
Mckinley
•Developed and deployed end-to-end applications using Spring Boot (backend), React (frontend), AWS (cloud services), and Jenkins (CI/CD) to ensure seamless integration and scalability. •Automated deployments with Jenkins pipelines and ECS, reducing deployment time by 40% and enabling a 50% increase in concurrent users and faster operations 09/2023 – 03/2024 South Korea •Add cloud based computer vision models pipeline that can handle resume scanning, document and data scanning from different file formats,reducing manual data entry efforts by 65%. •Led a cross-functional team in developing a React Native mobile app alongside a web application, increasing user adoption by 20% more. •Improved development efficiency by 15% through effective sprint management and retrospectives. •Implemented key features like notifications, UI enhancements, and AWS integration, driving seamless user experiences and published on playstore. •Engaged with clients to deliver tailored solutions, boosting satisfaction by 30%.
Cognizant
Assisted in managing the product lifecycle for React and Spring Boot solutions and conducted market research to improve product performance by 15%.
Led the development of Angel LMS, a platform for instructors and content creators to manage and monetize educational content, enhancing engagement and course completion rates by 30%.
React · Firebase · Spring Boot · PostgreSQL
Developed use cases for Apple Vision Pro in interior design and LMS, integrating AI for immersive experiences.
Apple Vision Pro · AI Integration · LMS Systems
Led the development of a RAG-based AI chatbot, improving customer service by 60% through enhanced contextual accuracy and dynamic interaction history.
Gen AI · RAG · Azure Cognitive Services · fastapi
Product Strategy, Roadmap Planning, Prioritization, Stakeholder Management, Cross-functional Collaboration, Data-Driven Decision Making, Customer Feedback Analysis, Market Analysis, Agile Methodology, Computer vision, Artificial Intellignece, GenAI, python, Agile, SwiftUI
“CEO LCB Fertilizers contact@lcbfertilizers.com ”
Akshay Srivastav
“Product lead team@angelheartcreativedesign.com”
Dawn Wilson