Building AI Engine deterministic workflows for AI agents.
An Applied AI Engineer designing the orchestration structures, state guardrails, and validation pipelines that transform stochastic model outputs into robust, deterministic systems.
Building software
that solves real problems.
I operate at the intersection of machine cognition and human agency. Most modern AI products expose the raw, chaotic mechanics of underlying models. I believe software should tame that chaos—delivering high-utility, predictable, and deeply respectful interactions.
I write robust, multi-agent state machines, optimized retrieval schemas, and evaluation harnesses. My work is built to be fast, production-ready, and architected to safeguard user attention instead of taxing it.
Human first, model second
AI should elevate and extend human capability, not replace or simulate it. We construct software to empower human intent, not to create automated noise.
Deterministic guardrails
Stochastic models produce unpredictable results. We wrap intelligence in mathematical guardrails, ensuring reliability in high-stakes environments.
Performance is respect
Lag is cognitive drag. Orchestration, retrieval, and interface rendering are optimized for zero latency, respecting the flow state of the operator.
Designing scalable software for production environments.
Role
Lead AI Engineer
Timeline
12 Weeks (Q1 2026)
Technologies
Python, LangGraph, Qdrant, Claude 3.5 Sonnet, AWS ECS
The Context
Enterprise workflows were heavily dependent on manual data entry and unstructured review steps, creating a 12-hour turnaround bottleneck. Automated scripts failed to handle variance in document formats and unstructured inputs.
The Challenge
Parsing unstructured data tables and files into strict schema formats. Standard retrieval-augmented generation suffered from context leakage and output hallucination loops, causing errors in downstream production databases.
Manual Audit Review
Unstructured tables, emails, and invoices create human bottlenecks with high turnaround times and variance errors.
Execution Profile
Manual Document Audit
Autonomous State Machine
AI Engineer
Kombee TechnologiesBachelor of Science
Uka Tarsadia University · Bardoli , Gujarat, IndiaSpecialization in software engineering.
How I design and build production systems.
A live simulation of the complete request lifecycle—from query ingestion to production processing and delivery.
Let's build software
that solves real problems.
Whether you are looking to design robust backend architectures, scale query systems, or integrate intelligence into high-touch interfaces, I'm always open to talking design and implementation.