AI-assisted CareerTech application developed as an individual software product.
Engineered an AI job discovery platform for software engineers to cut through bloated job boards, combining vector search, automated parsing, and zero-bloat web architecture.
Context & Organizational Scope
Modern job seekers are overwhelmed by noisy job boards and redundant postings. ClearlyHired filters high-relevance roles using AI matching.
Product architecture, frontend UI, backend API integration, LLM matching workflows, and deployment infrastructure.
The Growth Bottleneck
Aggregating and matching engineering jobs across fragmented sources without running up massive cloud compute bills.
The Growth Architecture
Vite/React frontend, Node/Python data pipelines, vector search for semantic role matching, and automated email alerts.
Systems Architecture & Technical Stack
Engineered for sub-second search feedback, zero layout shifts, and semantic accessibility. Fluid typography and responsive layout without heavy UI libraries.
Automated multi-source job posting aggregation. Runs daily normalization and cryptographic deduplication to eliminate redundant tech postings.
Calculates skill-gap scores between candidate technical profiles and engineering requisitions, moving beyond naive keyword matching.
Orchestrates candidate alert dispatches, data freshness verifications, and automated notification queues with fault-tolerant retry logic.
Deployed on secure Linux virtual servers with Cloudflare edge caching, SSL enforcement, and automated preview branch validation.
Execution & Deployment
- Architected responsive UI with modern component design and sub-second search feedback.
- Integrated LLM embeddings for skills gap analysis between candidate profiles and job requisitions.
- Built automated cron pipelines for daily job deduplication and freshness verification.
Measured Results & Verification
Every business metric below is confirmed and anchored in operational campaign records.
What Changed & Key Learning
The Transformation: Validates the modern operator profile: rapid technical prototyping combined with deep domain understanding of job seekers.
The Principle: Growth operators who can write code move ten times faster. You test acquisition hypotheses directly in production instead of arguing over product tickets.
InfobitsGlobal: Full-stack web architecture with AI-accelerated delivery.
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