I build and ship — not demos, not tutorials.
Promoted intern → developer in 3 months.
8+ production apps. Legal AI at 84.9% F1. Real servers, real clients, real code.
Shipped 8+ production web apps using React.js, Node.js, Express.js, and PostgreSQL — each delivered on deadline, deployed to live infrastructure.
Built a full-stack HRMS in React + Python Flask — replaced paper workflows with digital onboarding, attendance tracking, and leave management across 4 departments.
Implemented RBAC using PyJWT and bcrypt — 4 distinct portals (Admin, HR, Manager, Employee) with strict per-role data isolation at every API layer.
Designed RESTful APIs via SQLAlchemy ORM over PostgreSQL for complex multi-table queries; built live Recharts dashboards for HR analytics.
Architected a Next.js 14 monorepo research platform using NPM Workspaces — separate frontend, admin, and backend apps with Prisma ORM and NextAuth.js.
Deployed 3+ client sites on Hostinger Linux VPS with Nginx reverse proxy and SSL/TLS — built reusable config templates now used across all new deployments.
Legal teams waste hours reviewing contracts manually. I built a full-stack system where users upload PDF or Word files and receive structured AI risk analysis in seconds. Fine-tuned BERT extracts clauses; OpenAI converts outputs to plain English. A Trust & Safety module auto-redacts PII before any model sees it, with a live fairness auditing dashboard.
A client across 4 departments ran everything on paper. Built a complete HRMS from scratch — React + Python Flask, RBAC across 4 role-isolated portals, SQLAlchemy ORM for complex multi-table queries, and real-time analytics dashboards. Live in production, replacing manual processes entirely.
Doctors can't trust black-box predictions. This dashboard predicts heart disease risk and shows why — using SHAP and LIME side by side. A custom module quantitatively scores XAI consistency across patients, giving clinicians measurable confidence per prediction, not just a chart.
A Bengaluru kindergarten needed an online presence that handled real admissions. Delivered a responsive SPA in React 19 + Vite with Framer Motion animations across 6 routed sections, integrated the admissions workflow, and deployed on Netlify with CI/CD for zero-touch updates.
Fine-tuned a BERT transformer on 510 CUAD legal contracts to automate clause extraction and risk classification. Integrated a Trust & Safety module with automated PII redaction, live fairness auditing, and privacy analysis — making AI-driven legal review accurate, transparent, and responsible. Full-stack application, not just a paper.
I'm a Full Stack Developer based in Bengaluru. My work sits at the intersection of modern web engineering and applied AI — I design schemas, integrate models, configure servers, and ship UIs that real people use.
I joined ASPL Tech Solutions as an intern in October 2025 and was promoted to full-time developer within three months — because I took ownership, delivered on time, and treated every task like a production problem.
My research on AI-powered legal document analysis won Best Paper at NCRIE-2025. That work wasn't an academic exercise — it's a deployed, full-stack application backed by a fine-tuned BERT model trained on 510 real contracts.
I hold an MCA from RV Institute of Technology and Management (CGPA: 8.2). I'm actively looking for a role where I can keep building things that matter.
Full-time roles, contract work, or a good technical conversation. I reply fast.