Professional with expertise in web development, passionate about creating innovative solutions and delivering high-quality results.
Built AI-powered video generator and Geni AI products for production environments Integrated custom AI models with scalable pipelines, enhancing product efficiency
Conducted data analysis and ML model building on real-world datasets using Python Delivered predictive insights using feature engineering and model evaluation techniques
Developed an AI healthcare assistant used by 1,000+ test users for disease prediction, medical image classification, hospital locator features and lab report interpretation. Implemented CNN models (TensorFlow/Keras) achieving 95%+ accuracy, integrated OCR pipelines, chatbot triage.
Built a civic-tech platform using Node.js, Angular, and MongoDB Atlas, enabling real-time reporting and tracking of local issues. Integrated Google Maps API, AI-based image verification, and multi-role dashboards; supported 500+ test reports across user types.
Designed ML-driven crop and fertilizer recommendation system and CNN pest detection model trained on 5,000+ leaf images. Deployed via Streamlit and FastAPI, improving model accuracy by 14% after preprocessing and augmentation.
Developed a full-stack ML platform for automated IT incident root cause analysis, semantic search, and log summarization. Integrated FAISS-based search improving query relevance by 30%, and built a React dashboard for analytics and trend tracking.
Created a LightGBM-based recommendation system for 10K+ users and 100+ vendors, analyzing 1.6M+ order records. Engineered demographic and behavioral features achieving 0.991 validation AUC, outperforming baseline recommenders by 22%.
Built an end-to-end ML-driven incident management platform integrating root cause prediction models, FAISS semantic retrieval, and a React-based dashboard for visual analytics and real-time monitoring.
Anurag University, Hyderabad