Standing Rank
Rank Not Available
Developer Badges
Badges Pending
Skills & Technologies
33 skillsWork Experience
Frontend Engineer
Celebal Technologies
- Architected a self-serve data modeling UI using React, TypeScript, and Node.js – eliminating engineering dependency for enterprise client onboarding and reducing turnaround from ~2 weeks to under 2 days across 8+ enterprise accounts.
- Shipped 3 major UI modules (schema management, entity relationship modeling, validation rule configuration) within 6 weeks of design kickoff, with zero post-release critical bugs, by owning the full frontend lifecycle from component design through QA and deployment.
- Optimized React rendering performance for 50,000+ configuration-record datasets – refactored component trees, eliminated redundant re-renders, and improved state synchronization logic, cutting dashboard load time by ~40% (3.2s → 1.9s).
- Built metadata-driven UI workflows that replaced manual engineering back-and-forth with self-serve configuration flows – reducing customer onboarding touchpoints by ~60% and saving an estimated 4–5 engineering hours per client deployment.
- Designed and shipped a reusable TypeScript component library of 25+ modular components with consistent APIs and documentation – improving feature delivery velocity by ~30% across 3 product teams and reducing duplicated UI implementation by ~6 hours per sprint.
Projects
CodeSentinel Live
- Built a real-time AI code auditing UI that streams structured security, performance, and architectural findings from an LLM directly to the UI using streamObject with strict Zod schema validation – enabling incremental rendering of findings as they arrive with no layout shift or loading flicker.
- Engineered a deterministic pre-analysis pipeline (language, framework, runtime, artifact classification, signal extraction) running entirely server-side before any LLM call, enriching prompts with precise context and surfacing version-specific API risks via a curated framework registry (React, Next.js, Prisma, Vue, NestJS, FastAPI, Express).
- Implemented a token-efficient follow-up chat UI using streamText that injects only the relevant code snippet and finding metadata into context – reducing per-turn LLM cost while maintaining sub-500ms response latency for large audit sessions.
- Shipped production-grade frontend infrastructure : Google OAuth via NextAuth, per-user sliding-window rate limiting, Zod-validated inputs, and virtualised chat history rendering with @tanstack/react-virtual to prevent memory bloat on 100+ review sessions.
Leaderboard Standings
Leaderboard Position Pending
Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.
Assessment Highlights
Assessments Not Completed
Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.
AI Collaboration Score
AI Collaboration Score Pending
Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.
Role Compatibility Profile
Role Compatibility Analysis Pending
Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.
Achievements
Achievements Not Earned
Special rewards, developer badges, system recognition certificates, and conceptual milestones will display here.
About Details
Professional Bio
Frontend Engineer with 3 years building scalable, enterprise-grade product UIs. Proven expertise in architecting performant React/Next.js systems, designing reusable component libraries, and driving measurable UX improvements at scale.
Bachelor of Technology in Computer Science
Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal (MP) (2019 - 2023)