Your Team's Knowledge is Trapped in Thousands of Documents.
I Build AI Systems That Unlock It.
Production-grade RAG systems for enterprises with sprawling documentation - internal wikis, compliance archives, technical manuals, and customer knowledge bases. No hallucinations. Full citations. Your data stays yours.
Expertise That Drives
Real Outcomes
Enterprise RAG Pipelines
Hybrid search, smart chunking, reranking, and citation-backed answers across SharePoint, Confluence, Drive, databases, and file systems.
Multi-Agent Knowledge Workflows
LangGraph agents that plan, retrieve, reason, and self-correct across multi-step questions - not just single-shot lookups.
Production Deployment & Security
Full-stack implementation on AWS with role-based access, audit logs, monitoring, and data that never leaves your cloud.
RAG System Audits
Deep evaluation of existing RAG or LLM systems. Identify hallucination sources, retrieval failures, and architecture gaps.
Built, Launched & Scaling
NirixAI
Production RAG system converting unstructured video and document content into searchable, cited Q&A with real-time streaming responses. Built on Pinecone with hybrid search, multi-LLM routing, and SSE streaming. Demonstrates the full ingestion -> embedding -> retrieval -> generation pipeline applied to messy, multi-format content at interactive latency.
Serves streaming answers from a 20K+ content corpus with sub-2-second first-token latency.
PiperQL
Natural-language database agent that lets non-technical teams (ops, finance, HR) self-serve complex database queries without writing SQL. Handles multi-turn conversation context, auto-generates appropriate visualizations, and runs in three deployment modes. The same architecture pattern applied inside an enterprise eliminates the analyst bottleneck for routine reporting queries.
Open-sourced under AGPL v3. Architecture scales to enterprise-grade query workloads.
Tim Edge
Full-stack trading platform with live market data streaming, automated trade logic, journaling, and backtesting. Architected with MetaAPI integration, WebSocket streaming, Celery async workers, and AWS infrastructure. Demonstrates high-concurrency, low-latency system design - the same patterns required for real-time enterprise retrieval systems.
Tim Academy
Full-stack education platform with live streaming (100ms), authentication, payments, and structured learning paths. Built on Firebase with a premium landing experience. Demonstrates end-to-end product delivery - design, implementation, infrastructure, and launch.
Engineering the
Agentic Shift
I'm an AI Systems Architect. My work focuses on helping organizations unlock the knowledge trapped in their sprawling documentation - wikis, compliance archives, technical manuals, customer knowledge bases - with retrieval systems that cite their sources and don't hallucinate.
I provide architectural leadership for production-grade RAG: hybrid search, reranking, citation-backed answers, LangGraph agents for multi-step retrieval, and AWS deployments with role-based access and audit logs.
Currently working as a Generative AI Engineer at AION Soft.
Standards I Ship To
Six non-negotiables every engagement holds to - whether it's a 2-week audit or a 4-month platform build.
Architecture-first over prompt hacking
Every engagement starts with a retrieval architecture, not a prompt. Prompts are the last mile, not the first one.
Hybrid retrieval, never pure vector
BM25 + dense vectors + reranking, tuned to your corpus. Pure vector search ships demo-grade answers, not production ones.
Citations on every answer
Every response links back to the exact document and section. "I don’t know" is a valid answer. Hallucinations are a bug, not a quirk.
Production infrastructure, not notebooks
Monitoring, logging, alerting, auto-scaling, audit trails, and runbooks. Every deliverable is something your on-call can operate.
Your data stays in your cloud
Self-hosted, enterprise-API with zero data retention, or hybrid - chosen during the audit based on your compliance posture.
Handover, not dependency
Every engagement ends with your team able to operate and extend the system without me. No seat-licensing, no vendor lock.
What Clients Say
Ajay architected our agent workflow in 3 weeks - what our internal team had stalled on for 3 months. He thinks in systems, not prompts.
We needed a RAG system that wouldn’t hallucinate on regulatory content. Ajay delivered one with full citations and 94% accuracy. Our compliance team finally trusts AI output.
Clear communicator. Ships production code, not demos. The architecture decisions he made early saved us from a 6-month rewrite later.
Ready to Build Your
AI System?
Let's discuss your architecture, identify bottlenecks, and create a concrete plan. No sales pitch - just honest, actionable direction.