I build intelligent systems. The rest is figuring out what comes next.
Shikhar. Working at the intersection of AI, automation, and the systems that will define the next decade.
Tech Stack
What I Work On
Enterprise RAG with RBAC & Hybrid Search
Production-grade retrieval system combining BM25 keyword search, dense vector search, and cross-encoder reranking — with role-based access control that filters documents before the LLM sees them. Built to production standards — RBAC, hybrid search, and full RAGAS evaluation.
Self-Healing Multi-Agent DevOps Pipeline
A multi-agent system that monitors a codebase for errors, decomposes the fault, proposes a fix, tests it in an isolated Docker environment, runs security scans, and only opens a Pull Request when everything passes.
Lead-to-Call Automation
Full-stack sales pipeline built on n8n — captures leads via webhook, scores them with Gemini AI, routes by priority, triggers personalized email sequences, updates HubSpot, and escalates high-value leads to an AI voice agent that calls and qualifies them in real time.
Edge Voice Assistant
Local-inference voice agent running quantized LLMs on VPS via Ollama with WebSocket streaming — targeting sub-200ms first token latency with full STT → LLM → TTS pipeline.
Thinking
The Panic Is Aimed at the Wrong People
Everyone is panicking about AI taking jobs broadly. The real displacement is narrower — any role that runs on pattern matching and low-context decisions is already being automated. The panic is misdirected. The people who lose jobs aren't the ones adapting slowest, they're the ones whose entire role was never really cognitive work to begin with.
LLMs Are Not the Destination
Next-token prediction scales well but it's not reasoning — it's sophisticated pattern completion. LLMs don't model causality, they model correlation at massive scale. Something fundamentally different needs to happen architecturally before machines can actually think. The real breakthrough hasn't been invented yet.
The Jobs That Survive Are the Ones AI Can't Simulate
The roles that outlast automation aren't just the high-cognition ones — they're the ones where the training data doesn't exist and the hardware isn't there yet. Blue collar trades, physical dexterity, real-world context. And on the other end, the people bridging AI to existing human infrastructure. The middle gets hollowed out. The edges survive.
Let's Talk
If you're building something interesting, thinking about where AI is going, or want to work together — reach out.
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