Los Angeles, California, United States
With ongoing MS studies in Computer Science at Northeastern University, my focus lies in applying advanced machine learning techniques to solve complex problems. I developed a semantic search and ranking system for AI prompts, deepfake detection system, optimizing model efficiency by striking a balance between speed and accuracy. Skilled in applying cloud technologies like Microsoft Azure, AWS, and Amazon EC2, I am passionate about leveraging AI for impactful solutions. Let's connect and explore how to collaborate to amplify data literacy and innovation. Open to discussions on research, education, and all things data! 📈🔍
Worked on large-scale Indian government patent data, performing end-to-end data analysis and NLP-based research from scratch. Cleaned, structured, and analyzed patent text to classify filings by gender representation and AI relevance. Applied BERT-based models and spaCy for text classification and entity recognition, and generated analytical insights to support research outcomes.
AI for Social Good
• Selected as one of the top 50 students from a competitive pool of applicants for the Google-sponsored exploreCSR research mentorship program. • Led a project on autonomous driving maneuvers (lane changing, overtaking), enhancing accuracy by 25%. • Designed hierarchical Deep Reinforcement Learning models in CARLA simulator for autonomous vehicle navigation, training agent with depth cameras and obstacle detection modules. • Improved decision-making accuracy by 25% in dynamic environments through feature engineering and reward function optimization, solving complex overtaking and lane-changing problems. • Launched model achieving 94% success rate in simulated urban scenarios with real-time inference under 50ms latency.