Ayush Bhardwaj

About

Third-year B.Tech Computer Science student and Full Stack Developer building production AI systems, including an agentic hiring platform with real-time speech-to-speech interviews and autonomous candidate evaluation. Experienced with React, Node.js, MongoDB, and Gemini Live / Groq integration, taking systems from architecture through deployment.

Experience

• Freelance Frontend Developer
  Self-Employed
  2025 – Present

Education

• B.Tech
  Sharda University
  Computer Science · Jul 2024 – Jun 2028

Skills

• CSS <3 months
• Express.js <3 months
• Generative AI Tools <3 months
• HTML <3 months
• Python <3 months
• Prompt Engineering <3 months
• Java <3 months
• JavaScript <3 months
• Node.js <3 months
• Tailwind CSS <3 months
• React <3 months
• TypeScript <3 months
• WebSockets <3 months
• JWT <3 months
• API Integration Understanding <3 months
• Design Systems <3 months
• AI Agents <3 months
• Data Structures and Algorithms <3 months
• Agentic AI workflows <3 months
• Authentication and Authorization <3 months
• Cloudflare <3 months

Tools / apps / platforms

• Docker <3 months
• Git <3 months
• GitHub <3 months
• Groq <3 months
• Microsoft Azure <3 months
• MongoDB <3 months
• Nginx <3 months
• PostgreSQL <3 months
• Render <3 months
• Supabase <3 months
• Vercel <3 months

Projects

• Bank Ledger System — Transaction Backend
  Node.js, Express.js, MongoDB

  Developed secure account-to-account transfer APIs using atomic transactions, locking mechanisms, and double-entry bookkeeping to guarantee data consistency. Built REST APIs for account management, transfers, and full transaction history with auditable ledger entries.

• SalonQ — Real-Time Queue Management
  React, TypeScript, Supabase, PostgreSQL

  Built real-time salon queue synchronization using Supabase Realtime, owner dashboards, customer booking flows, and authentication. Designed scalable PostgreSQL schemas and customer-facing queue tracking interfaces with image management.

• MockHire — Agentic Hiring Platform
  React, TypeScript, Node.js, Express.js, REST APIs, MongoDB, Gemini Live API, Groq, WebSocket, Vercel, Render

  Built a multi-product AI hiring platform with a technical ATS analyzer, real-time AI interviewer, and 6-stage agentic pipeline spanning JD parsing, candidate matching, multi-source evidence discovery, verification, conditional live interviews, and final evaluation. Built a dual-WebSocket audio pipeline streaming PCM audio client ↔ backend ↔ Gemini Live API with AudioWorklet decoding for low-latency playback, live transcription, and adaptive question generation. Implemented an evidence-driven evaluation engine combining JD requirements, resume claims, GitHub evidence, and live interview results into structured candidate scores, technical assessments, and hiring recommendations.