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Open to AI Engineering opportunities · Remote / Spain
AI ENGINEER·BENGALURU → SPAIN

Building AI systems people can trust.

I design and build production-ready AI systems across LLM agents, retrieval pipelines, voice automation, intelligent workflows, and full-stack applications. My work combines probabilistic AI with deterministic engineering, measurable evaluation, safety guardrails, and real-world deployment.

Currently building from Bengaluru while working toward an AI engineering career in Spain and the European technology market.

12.9716° N, 77.5946° ESYS // 2026
Shiva Shankar S — AI Engineer
SHIVA SHANKAR S
AI SYSTEM FLOW // PROBABILISTIC + DETERMINISTIC
LIVE WORKFLOW
STEP 01
User Input
Prompt / Voice / Query
LANGGRAPH REACT
AI Agent Core
State & Guardrails
ROUTED EXECUTION
LLM Reasoning (Gemini/Claude)
Deterministic Tools (RAG/Math)
Output: Grounded & Evaluated Response
Bypasses LLM on medical/safety emergency
0+

Production AI systems

0%

Evaluated AthleteIQ accuracy

0

Focused AI modules in Alpha Lead Engine

0

IEEE GenAI Challenge final round

COMPETENCY OVERVIEW

Applied AI & System Engineering Stack

View Full About & Background
01

AI & LLM Engineering

  • Retrieval-Augmented Generation (RAG)
  • LangChain LCEL
  • LangGraph ReAct Agents
  • Tool Calling & Tool Design
  • System Prompt Design
02

Models & Retrieval

  • OpenAI API (GPT-4o/o1)
  • Google Gemini (2.0 Flash/Pro)
  • Anthropic Claude 3.5
  • OpenRouter Multi-Model Routing
  • Hugging Face Embeddings (all-MiniLM)
03

Backend Engineering

  • Python 3.11+
  • FastAPI
  • Node.js
  • Fastify
  • REST APIs & OpenAPI
SELECTED WORK

Production AI Systems & Case Studies

View All 5 Projects & Architecture
001SYSTEM CASE STUDY

AthleteIQ

AI Sports Science RAG Agent

A production-grade sports science assistant that combines retrieval, tool calling, deterministic workload calculations, athlete metric tracking, evaluation, and safety escalation.

PythonLangChain LCELLangGraphChromaDB
VIEW CASE STUDY
002SYSTEM CASE STUDY

Alpha Studi0 AI Employee Platform

Enterprise AI Employees for Business Automation

A production real-time AI receptionist platform that handles inbound business calls, understands company context, qualifies leads, schedules appointments, and converts conversations into structured business intelligence.

Next.jsReactTypeScriptNode.js
VIEW CASE STUDY
003SYSTEM CASE STUDY

Alpha Lead Engine

AI-Powered Outbound Sales Automation Platform

A live outbound sales automation platform that discovers leads, qualifies them with AI, generates personalized outreach emails, automates multi-step follow-ups, and classifies replies — reducing manual prospecting to a single reviewable pipeline.

Next.jsFastAPISupabaseOpenAI API
VIEW CASE STUDY
004SYSTEM CASE STUDY

Reframe

Private AI Habit Recovery Web Application

A full-stack AI-assisted behavioral support application designed around personalized assessment, real-time urge interruption, privacy-first storage, offline access, and visual progress tracking.

Next.jsGemini 2.0 FlashFirebase FirestoreTailwind CSS
VIEW CASE STUDY
005SYSTEM CASE STUDY

Smooth Operator

AI Dating Profile Coach & RAG Knowledge Engine

A platform connecting men on dating apps with real reviewers who provide personalized voice-note feedback on their profiles, structured across three pricing tiers — backed by a RAG knowledge base and agentic profile analysis engine.

PythonNext.jsTypeScriptOpenAI API
VIEW CASE STUDY
ENGINEERING PRINCIPLES

Engineering over hype. Reliability over demos.

Deterministic Boundaries

Calculations, rules, and permissions use explicit software when deterministic code is more dependable than probabilistic model generation.

Human Oversight & Safety Bypass

Responsible AI design knows when to pause, skip retrieval, or immediately escalate to human professionals in health-adjacent or sensitive domains.