Professional Journey
My experience in AI research and development
Software Engineer I
Arrant Tech• Built cleanroom HVAC platform using Next.js & TypeScript with automated EUGMP/WHO/TGA compliance calculations to reduce manual engineering work by 30% • Built an AI agent app in Python using NLP and ML with microservices to parse user prompts and search 10K+ social profiles, boosting identity match accuracy by 65% across LinkedIn, GitHub, Instagram, and more. • Architected AI solutions integrating Workday Extend with RAG pipelines retrieving candidate history and job fit data to reduce campaign latency by 40% • Implemented JWT/OAuth 2.0 authentication systems with rate limiting to reduce SQL injection and XSS vulnerabilities by 30%
Artificial Intelligence Prompt Engineer
Community Dreams FoundationVolunteer contributor developing and refining AI prompts for ML-driven simulations, improving model reliability and collaborating on architecture optimization.
Artificial Intelligence Research Intern
Tokenization Challenges in Multilingual GPT
Kakatiya Institute of Technology and ScienceOptimized tokenization in multilingual language models, improving efficiency by 60% for non-English languages. Developed language-specific preprocessing pipelines, reducing token usage per prompt from 70-100 to 18-25.
Machine Learning Research Intern
Fraud Detection in Automobile Insurance Claims using Machine Learning Algorithms
Kakatiya Institute of Technology and ScienceEngineered ML pipeline for fraud detection achieving 78% accuracy and 81% AUC using ensemble methods. Implemented data balancing and feature engineering techniques to optimize model performance on imbalanced datasets.
Data Science Intern
3 CORTEX TechnologiesApplied innovative AI optimization techniques to solve complex challenges, improving project outcomes by 75%. Created interactive data visualizations to communicate insights and enhance cross-functional collaboration.
Computer Vision Research Intern
A Quantitative Analysis of Basic vs. Deep Learning-based Image Data Augmentation Techniques
Kakatiya Institute of Technology and ScienceConducted research on deep learning-based image augmentation techniques, achieving 98.57% accuracy on MNIST dataset. Implemented and evaluated various data augmentation strategies to improve model robustness and generalization.
Professional Development
Continuous learning and skill enhancement
AWS Certified Solutions Architect – Associate
Amazon Web Services
Validated ability to design, secure, and deploy scalable systems on AWS.
AWS Machine Learning – Associate
Amazon Web Services
Built, trained, and deployed ML solutions using core AWS ML services.
GenAI Job Simulation
Forage
Completed hands-on generative AI tasks: prompt design, evaluation, and deployment.
Oracle Cloud Certification
Oracle
Validated proficiency with Oracle technologies and cloud fundamentals.
Oracle AI Vector Search Certified Professional
Oracle
Validated expertise in Oracle AI Vector Search, vector indexing, similarity search, and RAG integration.