About Me
Data Science graduate with proven expertise in AI/ML development and production system deployment. I specialize in building AI security systems, developing comprehensive ML models, and deploying scalable solutions in enterprise environments.
My experience spans LLM fine-tuning, neural networks, enterprise API integrations, and real-time data processing. I'm passionate about leveraging cutting-edge technologies to solve complex problems and create meaningful impact through data-driven solutions.
3.89
GPA
93%
F-Score Achievement
88%
AI Security Accuracy
500K+
Data Points Processed
Professional Experience
AI Development Intern
ServiceAgent
June 2025 – PresentBuilt production backend integrations with Merge.dev for ATS-agnostic candidate data synchronization. Developed real-time AI-scoring reports and PDF resume processing via enterprise APIs. Connected ML services to Vercel-hosted frontend, enabling real-time candidate profile analysis.
R&D Intern
Innodata Inc.
July – September 2024Implemented comprehensive ML model using Groq achieving 93% F-Score for citation extraction. Developed automated end-to-end data pipeline for cross-referencing academic scientific papers. Optimized model performance through advanced feature engineering and hyperparameter tuning.
Lead Teaching Assistant
UC San Diego
September 2023 – March 2025Led team of tutoring assistants implementing strategies that improved student satisfaction. Developed technical curriculum content for diverse subjects and learning methodologies. Demonstrated leadership in educational technology and student mentoring.
Data Engineering Intern
IFI Techsolutions
June – August 2023Led end-to-end data migration from Excel sheets to cloud using MySQL, improving scalability. Implemented hierarchical data structures for unstructured data per organizational requirements. Developed comprehensive data analysis pipelines using Power BI and Microsoft Fabric. Built real-time analytics dashboards supporting business analyst decision-making workflows.
Research Intern
Indian Institute of Technology, Roorkee
July – September 2023Conducted neural network research on 3D CNN and 3D GAN models for dental crown reconstruction. Identified crucial features for baseline model optimization, prioritizing accuracy enhancement. Proposed research hypothesis for 3D GAN validation as technological aid in dental healthcare.
Key Projects
SwiftGuard AI Security System
Developed AI-powered attack detection system achieving 88% accuracy with 9.67% false positive rate. Created dual configurations: SwiftGuard Classic (0.3s response) and Precision (0.5% false positive). Implemented robust protection against adversarial prompts using advanced ML techniques.
Eyes Wide Open - EEG Alzheimer's Detection
Built neural pattern analysis system achieving 85% accuracy in differentiating AD from healthy subjects. Applied advanced signal processing and feature extraction techniques for medical AI applications. Utilized Support Vector Machines and ensemble methods for enhanced diagnostic precision.
Food Recommender System
Developed personalized recommendation engine processing 500K+ recipes and 1M+ user interactions. Implemented collaborative filtering and content-based algorithms achieving RMSE of 0.85. Built scalable matrix factorization system for real-time user rating predictions.