ML Intern
Developing end-to-end ML pipeline for memory calibration using cgroups and time-series metrics, optimizing system performance through advanced predictive modeling.
Building intelligent systems that solve real-world problems through advanced machine learning and scalable software solutions.
Currently pursuing M.S. Computer Science at Columbia University (CGPA: 4.22) with expertise in NLP, Computer Vision, and Applied ML. Previously Software Developer at Nutanix where I won the 10th Global Hackathon among 250+ teams and developed scalable ML solutions.
Passionate about building intelligent systems that solve real-world problems through cutting-edge machine learning and software engineering practices.
Transforming ideas into impactful ML/AI solutions across diverse domains
Developing end-to-end ML pipeline for memory calibration using cgroups and time-series metrics, optimizing system performance through advanced predictive modeling.
Won Global Hackathon creating AI-driven security system, developed scalable APIs reducing security breaches by 20% while maintaining high-performance standards.
Built BERT models for substance abuse analysis achieving 85% accuracy, designed gender-sensitive RoBERTa system for mental health detection with advanced NLP techniques.
Showcasing innovative solutions across AI, machine learning, and scalable web applications
Advanced reasoning frameworks (GoT, ToT) for LLM optimization with intelligent prompt generation capabilities.
ML models for accurate price prediction with intelligent recommendation system for automotive market analysis.
Scalable matchmaking application with cloud workflow integration for seamless gaming experiences.
Knowledge graph embeddings for pharmaceutical link prediction and drug discovery acceleration.
I'm always excited to discuss new opportunities, collaborate on innovative projects, or chat about the latest in ML and AI.
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Quick chat or meeting
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GitHub repositories