KEVIN SANGANI / AI ENGINEERAhmedabad, India · Building at Wishtree

Intelligence,
put to work.

I build the systems between an AI idea
and something people can actually use.

VOICERETRIEVALAGENTSAUTOMATION
THE ENGINEER, BEHIND THE ENGINEERING.Kevin Sangani
KS
Kevin SanganiCurious mind. Practical builder.
From human intent to useful outcomes.SCROLL TO EXPLORE
01 / SELECTED WORK

Built to do
something useful.

Four systems. Real engineering.
Explore the work, then look under the hood.

PROFESSIONAL CONTRIBUTIONS AT WISHTREE

Project previews use illustrative sample data. Client implementations remain private.

02 / HOW I THINK

A model is a start.
A system is the work.

A useful AI experience connects a person’s intent to the right context, tools, and next step.

01

Start with the workflow.

Understand what needs to happen after the answer: a booking, a grounded decision, an approved message.

02

Connect the pieces.

Bring together models, retrieval, APIs, and state. Make each handoff serve the same goal.

03

Make the result reviewable.

Keep sources, tool outcomes, and human approval visible where they matter.

THE TOOLKIT / FROM MODEL TO PRODUCTION

Different tools.
One connected system.

PYTHON AT THE COREPython

The foundation for models, services,
and the workflows between them.

LLM Systems

01

Language models connected to useful tools and real workflows.

  • OpenAI
  • Gemini
  • Claude
  • Llama
  • Prompt Engineering
  • Tool Calling
  • MCP

RAG

02

Connecting knowledge to grounded, context-aware answers.

  • Qdrant
  • FAISS
  • Embeddings
  • Semantic Search
  • LangGraph
  • Metadata Filtering

Voice AI

03

Real-time conversations that connect speech with action.

  • Pipecat
  • LiveKit
  • Twilio
  • Deepgram
  • ElevenLabs
  • STT
  • TTS

Agentic AI

04

Specialized agents with state, tools, and coordinated responsibilities.

  • LangGraph
  • LangChain
  • Multi-Agent Systems
  • Tool Calling
  • Stateful Workflows
  • Orchestration

MLOps

05

Infrastructure, observability, and deployment for AI systems.

  • Docker
  • vLLM
  • Ollama
  • LangSmith
  • Langfuse
  • AWS
  • Redis

AI / ML

EXPLORING / 06

Ongoing exploration of model training, evaluation, and inference.

  • PyTorch
  • TensorFlow
  • Transformers
  • Hugging Face
  • Fine-Tuning
  • Model Evaluation
THE ENGINEERING FOUNDATION

Supporting the full application.

  • TypeScript
  • Next.js
  • React
  • Java
  • Spring Boot
  • PostgreSQL
  • MongoDB
  • REST APIs
03 / THE ENGINEER

Curious by nature.
Practical by design.

I enjoy the space between an interesting AI capability and a system people can actually use. My work spans agents, retrieval, voice, and the services that connect them.

Currently going deeper into model training, fine-tuning, evaluation, and inference—the intelligence beneath the applications.

DEC 2024 — PRESENT

AI Engineer

Wishtree Technologies

Developed LLM agents, RAG pipelines, Voice AI systems, and intelligent workflow automations.

2021 — 2025

Dharmsinh Desai University

Bachelor of Technology in Information Technology

CGPA 8.84 / 10
More about my experience
FURTHER EXPLORATIONS / 09

Other systems I’ve worked on.

Additional professional work at Wishtree Technologies. Project focus shown; detailed implementations remain private.

01 / Voice AI

Multilingual Hospital Appointment Voice Agent

Multilingual conversations around hospital appointment workflows.

02 / Agentic AI

Healthcare AI Agents

AI agents focused on healthcare workflows.

03 / Conversational AI

Personal Loan / Finance Agent

Conversational assistance for personal finance workflows.

04 / AI support

AI Avatar Support Agent

An avatar-based interface for AI assistance.

05 / Knowledge AI

WishAI Internal Knowledge Assistant

An assistant focused on internal knowledge discovery.

06 / Multi-agent AI

Multiverz Multi-Agent System

Specialized agents working within a shared system.

07 / Automation

SalesBridge Automation Platform

Automation across connected sales workflows.

08 / AI SaaS

Shopify AI Automation SaaS

AI-powered automation for commerce workflows.

09 / Automation

HARDI Outreach Automation

Workflow automation focused on outreach.

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