My Projects
A showcase of AI-powered applications and systems I've built across industry and academia, focusing on real-world impact and measurable results.
Featured Projects
Precision Planting
Engineered a scalable RAG Chatbot leveraging AWS Bedrock with full-stack development in TypeScript, React, and Node.js, enabling efficient handling of complex support, HR, and sales inquiries.
Key Achievements:
- •Integrated with company's quote system
- •Reduced manual processing time by 60%
- •Increased response speed by 45%
E-Green LLC
Spearheaded development of hand gesture recognition algorithms on Raspberry Pi and Nvidia Jetson Nano for intuitive lighting control and streamlined sterilization processes.
Key Achievements:
- •Enhanced real-time processing capabilities by 50%
- •Improved system reliability significantly
- •Led ML-driven image generation project
IBM
Designed GitHub bot using advanced Natural Language Processing methods, including named entity recognition, to automate the review process for pull requests.
Key Achievements:
- •Reduced review time from 3 hours to 5 seconds
- •Enhanced development team efficiency
- •Improved software quality and reliability
Developed computer vision algorithms for object recognition and tracking, with robotic arm and gripper system for autonomous tennis ball collection.
Key Achievements:
- •95% detection accuracy across 3 surfaces
- •98% collection success rate
- •Reduced damage incidents by 70%
Other Projects
Dell INC.
Built an NLP-based Google Chrome App to analyze support ticket data, identify key issues, and provide relevant solutions on ServiceNow to streamline the support ticket resolution process.
Key Results:
- •Reduced average resolution time by 40%
- •Implemented advanced NLP techniques
Analyzed the impact of COVID-19 on annual personal income in the United States using machine learning classifiers and complex datasets to draw meaningful insights.
Key Results:
- •Achieved 85% accuracy using multiple classifiers
- •Used Naïve Bayes, Decision Tree, SVM, k-NN
Built a comprehensive NLP pipeline for Hindi-to-English translation, summarization, and classification using advanced deep learning models.
Key Results:
- •90% BLEU score for translation
- •85% accuracy in classification