CS(AI) student at University of Lucknow. I engineer production-ready web applications, build AI-powered data pipelines, and turn raw datasets into decisions — end to end.
I'm a final-year CS (AI) student who operates across the full spectrum — from architecting backend REST APIs and building role-based SPAs, to engineering AI-powered data pipelines and performing statistical EDA on real-world datasets.
On the engineering side, I've shipped TaskFlow (a full stack RBAC project management platform) and PulseRank (an AI-powered SEO audit engine with Node.js/Express backend) — both deployed and live. On the data side, I build ML models, create Power BI dashboards, and apply Six Sigma analytics in enterprise environments.
I'm looking for roles in Full Stack Development, AI/ML Engineering, or Data Analytics — wherever I can build fast, learn faster, and create real impact.
Engineered a full stack role-based project management platform with user authentication, session management, and RBAC enforcing granular create, edit, and delete permissions across Admin and Member roles. Architected an in-memory relational data layer simulating a production REST API — modelling users, projects, tasks, and memberships with full CRUD and referential integrity. Built a multi-view SPA with live KPI cards, overdue detection, and real-time search using zero frontend frameworks.
Live Demo →Built a full stack data pipeline crawling 45+ live SEO signals from websites and scoring them via a weighted algorithm across 8 categories — producing a 0–100 health score. Engineered a Node.js/Cheerio scraping backend with a RESTful Express.js API, Chart.js dashboards for multi-site benchmarking, and automated PDF audit reports via jsPDF. Deployed and serving real users.
Live Demo →Built a full stack tool that decodes and analyses GitHub repositories instantly — featuring interactive D3.js-powered dependency graphs, side-by-side repo comparison (Battlefront Mode), and a Health Auditor that detects code smells and architectural bottlenecks. Integrated Google Gemini AI for interactive codebase chat, automated README generation, and real-time language distribution visualisation via Recharts.
Live Demo →Cleaned and preprocessed a physicochemical wine dataset, applied statistical correlation analysis to identify key features driving quality ratings, and built ML classification models using Scikit-learn. Produced multi-chart visualizations — histograms, boxplots, correlation heatmaps, and pairplots — to surface actionable quality influencers across 11 chemical attributes.
GitHub →I'm actively seeking opportunities in Full Stack Development, AI/ML Engineering, or Data Analytics. Whether you have a product to build, data to make sense of, or just want to talk tech — my inbox is always open.