VB
Available for AI Systems & Engineering Roles

AI Engineer · Software Engineer · ML Systems

BUILDING INTELLIGENT SYSTEMS that solve real-world problems.

I design and ship production-ready AI products, autonomous agent architectures, and resilient backend infrastructure with a relentless focus on precision, polish, and measurable impact.

Production Mode Active
v2.6
AI Agents & Tool Calling Autonomous workflows, orchestration, MCP, state memory
Backend & Cloud Systems Python, Docker, FastAPIs, SQL, robust integrations
Frontend Craft & Motion TypeScript, React, GSAP animations, tactile interfaces

Spatial Atmosphere

Entering the AI atmosphere

01
3D Starfield & Nebula

Real spatial depth, procedural shader bloom, and constellation drift rendered in WebGL.

02
Camera Parallax

Mouse movement and scroll momentum bend the scene with smooth orbital kinematics.

03
Choreographed Motion

Every milestone and card is paced with precision easing and zero layout stutter.

Ecosystem

Global engineering mindset

Distributed across ideas, tools, and systems

Built to scale globally, not just locally.

Architecting systems that operate seamlessly across diverse cloud regions, edge devices, and real-world developer setups.

India Base
Open Source
Cloud Infra
AI Research

Domain Atlas

Core architectural pillars.

01

Agent Systems

Tool orchestration, memory management, dynamic routing, and production reliability.

MCPLangGraphTool Calling
02

Backend Infra

High-throughput APIs, Docker containers, SQL optimization, and streaming pipelines.

FastAPIPostgreSQLDocker
03

Frontend Motion

Tactile user interfaces, fluid scroll choreography, micro-interactions, and WebGL depth.

TypeScriptGSAPThree.js
04

Model Workflows

LLM evaluation benchmarks, RAG vector indexing, fine-tuning, and structured JSON outputs.

PyTorchRAGEvaluation

Milestones

Journey & Experience Corridor

Vikash Baibhav

AI Systems & Full-Stack Builder

Driven by a deep passion for autonomous agents and intelligent software, I bridge the gap between cutting-edge AI models and rock-solid production software.

Whether designing MCP servers for seamless tool integration or optimizing high-throughput backend APIs, I focus on shipping software that is resilient, clean, and delightful to interact with.

Clean Code Production Ready High Performance
2023 Foundations

Core CS & Algorithms

VIT B.Tech

AI Engineering Degree

AI/ML Deep Learning

LLMs & Neural Networks

Internship Industry

Agent Tooling & Testing

Scale Production

MCP & Full-Stack Systems

Today Building

Next-Gen AI Products

Featured Work

Production-grade AI & Systems

Framework
Zero-shot Tool Routing
01 · Autonomous Systems

Production AI Agent Framework

A modular agent orchestration framework built for reliable multi-step planning, tool routing, structured memory, and production observability.

PythonMCPDockerFastAPIRedis
Testing & QA
99.4% Query Precision
02 · Infrastructure

NL-to-SQL Testing Infrastructure

An enterprise evaluation and testing layer for validating natural language to SQL workflows with automated query fixtures, semantic diffing, and confidence scoring.

SQLPythonPyTestAnalyticsPostgreSQL
Ecosystem
Type-Safe Server Suite
03 · Protocol Tools

MCP Tool Ecosystem

A suite of Model Context Protocol servers enabling agents to securely interact with file systems, external APIs, databases, and developer environments.

MCPTypeScriptNode.jsJSON-RPCSDK
Product
Contextual Ranking
04 · Intelligent App

AI Recipe Recommendation Platform

Personalized culinary discovery platform featuring dynamic ingredient substitution, dietary embeddings, contextual ranking, and a fluid mobile-first UX.

ReactNext.jsVector SearchTailored UX
Community
Active Contributor
05 · Open Source

Open Source Contributions

Contributions across open-source AI repos focusing on robust error recovery, type safety, developer documentation, and benchmark suites.

OSSGitTestingDocsCI/CD
0 Projects Built
0 GitHub Commits
0 Technologies
0 Years Building

Background

Education, Focus & Standards

Education

Computer Science & AI Engineering

Building a rigorous foundation across data structures, distributed systems, mathematics, and deep learning algorithms.

Experience

AI Agent Systems Engineering

Designed and deployed production tool orchestration systems, automated testing pipelines, and agent memory layers.

Focus

Production AI Infrastructure

Committed to reliability: robust NL-to-SQL validation, deterministic outputs, MCP integration, and low-latency API layers.

Values

Shipping With Polish

Every product is treated with high engineering craftsmanship — fast load times, accessible design, and fluid user delight.

Skillset Galaxy

Technologies & Frameworks

VB
Python
TypeScript
React
Docker
SQL
MCP
LLMs
PyTorch
OpenAI
Cloud APIs
Node.js
Git
PostgreSQL
LangChain
Linux
JavaScript
C++
TensorFlow
Claude API

Live Console

Interactive Build Terminal

vikash@system ~ zsh
Type help or press T
>

Let's Connect

Let’s build something extraordinary.

Connect & Inquiries

Available for full-time engineering roles, AI agent consulting, and select collaborations.

Replies usually within 24 hours