I'm an AI Engineer who builds intelligent systems that solve real-world problems at scale.

Currently at ihiring.ai, I'm architecting production-grade AI-powered interview platforms that conduct dynamic technical and behavioral assessments. Think of it as giving organizations their own AI interviewer that scales infinitely while maintaining consistency. Our system processes conversations in real-time, adapts questioning based on candidate responses, and evaluates across technical, behavioral, and soft skills dimensions.

What I'm building:

• AI interview platform supporting 500+ concurrent sessions with distributed state management
• Configuration-driven workflow framework enabling teams to customize interview flows without code
• Hybrid persistence architecture (Redis + MongoDB + S3) for real-time state and long-term analytics
• Multi-provider AI integration (OpenAI, Anthropic, Deepgram, ElevenLabs) with 99.9% uptime

My journey: I've spent 4+ years evolving from web development to AI engineering across startups and enterprises. At Loginsoft, I built the Cytellite IP enrichment platform processing 10M+ daily records with 40% latency reduction, and developed healthcare systems serving 50K+ monthly users. Earlier, I built full-stack applications, integrated payment gateways handling $500K+ monthly transactions, and architected cybersecurity research platforms.

What drives me:

• I'm fascinated by the intersection of AI research and production systems. How do you take cutting-edge LLM capabilities and make them reliable, scalable, and useful? That's the puzzle I wake up solving.
• My approach combines solid software engineering (distributed systems, microservices, cloud architecture) with modern AI/ML (LangChain, LangGraph, prompt engineering). I believe the best AI systems are built on boring, reliable infrastructure.

Tech stack:

• AI/ML: LangChain, LangGraph, OpenAI, Anthropic, Transformers, STT, TTS
• Backend: Python (FastAPI, Django), Node.js, Go
• Frontend: React, Next.js, TypeScript
• Cloud: AWS (Lambda, S3, SQS, EventBridge), GCP, Docker, Kubernetes, Redis, MongoDB

Currently learning: LLM orchestration, AI agent frameworks, and production ML systems. Recent certifications: Machine Learning Specialization (Stanford), LangChain courses (DeepLearning.AI), Agent Communication Protocol.

Let's connect if you're:

• Working on interesting AI/ML problems
• Building production AI systems
• Hiring for AI Engineering roles
• Just want to chat about technology

Always happy to help fellow engineers navigate the AI landscape!

• 📧 Email: shivadharmi@gmail.com