Expertise
Machine Learning & AI
Expertise in developing AI-powered solutions, including LLM + RAG workflows, deep neural networks, and advanced machine learning algorithms for tasks like resume screening and threat classification.
Data Engineering & APIs
Proficient in building end-to-end ETL pipelines, designing and exposing REST APIs, and containerizing microservices for scalable data processing and application integration.
Data Analytics & Visualization
Skilled in transforming raw data into actionable insights through customer segmentation, campaign analytics, and creating executive dashboards using leading visualization tools.
Cloud & DevOps
Experienced in deploying and managing services on cloud platforms, utilizing CI/CD pipelines, and containerization for robust and repeatable build-and-deploy processes.
Projects
AI-Powered Resume Screening & Data Analytics
Reduced manual screening effort by 70% with sub-10s latency.Built an end-to-end ETL pipeline integrating LLM + RAG workflows and custom matching algorithms for semantic resume-to-JD comparison, extracting structured insights from unstructured data. Designed and exposed a REST API for the matching engine and deployed the service via an automated CI/CD pipeline on Vercel.
Real-Time URL Threat Classification
Improved recall from 67% to 81% and achieved 88.2% ROC-AUC, delivering sub-200ms classifications.Designed a deep neural network algorithm (PyTorch) processing 100K+ samples and engineered 15+ features for URL threat classification. Built and containerized a production FastAPI microservice with Docker.
Customer Segmentation & Campaign Analytics
Improved campaign targeting precision by ~25% and reduced campaign planning time by ~35%.Built ETL pipelines to clean and warehouse 50K+ records, applying K-Means and PCA algorithms. Delivered executive dashboards via Power BI and Tableau, and documented data governance schemas.
Timeline
Certified as an Oracle Cloud Infrastructure 2025 Generative AI Professional.
Commenced B.Tech in Information Technology at VIT Vellore.
Achieved 88.2% ROC-AUC and 81% recall in a Real-Time URL Threat Classification model.
Reduced manual resume screening effort by 70% with an AI-powered system.
Improved campaign targeting precision by ~25% and cut planning time by ~35% using Power BI and Tableau.