Hi, I'm Utkarsh 👋

Production-Grade AI Systems.
Engineered for Scale.

I'm a

From real-time voice to RAG pipelines—I architect the infrastructure that takes AI from prototype to production. Backend, databases, optimization, and the hard engineering that makes it all work.

95%

Query Optimization

10x

Latency Improvement

2,000+

Concurrent Connections

Trusted by engineering teams at

BigshipZudu.aiScicom.ai

Technologies I Work With

⚛️React
Next.js
TSTypeScript
🐍Python
Node.js
🐘PostgreSQL
🍃MongoDB
Redis
🐳Docker
☁️AWS
🧠TensorFlow
🔗LangChain
OpenAI
Vercel
📂Git
GraphQL
⚛️React
Next.js
TSTypeScript
🐍Python
Node.js
🐘PostgreSQL
🍃MongoDB
Redis
🐳Docker
☁️AWS
🧠TensorFlow
🔗LangChain
OpenAI
Vercel
📂Git
GraphQL

What I build

Production-Grade AI Voice Infrastructure

AI Infrastructure & Backend
Scalable multi-tenant backends with PostgreSQL optimization, API design, and enterprise security.
  • Multi-Tenant Architecture
  • Database Performance Tuning (90-95% optimization)
  • RESTful API Design
RAG & Intelligent Retrieval
High-performance document retrieval and knowledge systems with sub-400ms response times.
  • Vector Database Optimization (Pinecone)
  • Cold-Start Latency Reduction (10.4x improvement)
  • Multi-Agent Orchestration
Real-Time Voice Systems
Production-grade voice infrastructure for enterprises requiring sub-second latency at scale.
  • STT/TTS Pipeline Optimization
  • Telephony Integration (Twilio, Plivo)
  • 500+ Concurrent Connection Management

How I work

From Call to Deployment in 2-4 Weeks

1

Discovery

Deep dive into your infrastructure needs, scale requirements, and ROI goals.

Day 1

2

Architect

System design, tech stack selection, and scalability planning for enterprise loads.

Day 2-3

3

Build

Agile development with a focus on latency reduction, thread safety, and optimization.

Week 1-3

4

Deploy

Production rolling deployment, load testing for 2000+ concurrent users, and handoff.

Week 3-4

5

Scale

Database indexing, query optimization, and continuous performance tuning.

Ongoing

Featured Work

Production Systems, Not Prototypes

HumanizeResumeAI.com

HumanizeResumeAI.com

Built a multi-agent ATS resume optimizer using DeepSeek V3, Gemini embedding and CrewAI that humanizes content to bypass AI detection.

6-Agent

Architecture

< 30%

AI Content

Download

ATS Friendly PDF

> 85%

ATS Score

Python
Flask
React.js
DeepSeek V3
CrewAI
Cloudflare
Gemini
Multi-Tenant Backend Architecture @ Zudu.ai

Multi-Tenant Backend Architecture @ Zudu.ai

Architect multi-tenant SaaS infrastructure for 13+ organizations with 2,000+ concurrent calls and real-time performance.

2,000+

Concurrent Calls

90-95%

Query Optimization

66%

Performance Improvement

13+

Organizations

Python
PostgreSQL
FastAPI
JWT
Chargebee
Azure
Real-Time AI Avatar @ Scicom.ai

Real-Time AI Avatar @ Scicom.ai

AI Insights
Python
Pinecone
LLaMA-3
Groq
FastAPI
LiveKit
Scalable Real-Time Infrastructure @ Bigship

Scalable Real-Time Infrastructure @ Bigship

Build distributed systems handling 500+ concurrent calls with sub-second latency and multi-provider orchestration.

500+

Concurrent Calls

5,000+

Daily Transactions

45%

Latency Reduction

80%

Accuracy Improvement

Python
FastAPI
PostgreSQL
WebSockets
Docker
AWS
InsightGen Multi-Agent System

InsightGen Multi-Agent System

Automate complex market research and ROI evaluation using a multi-agent generative AI system.

Auto

Research

AI/ML

ROI Analysis

100%

Automated

Python
Gemini
Serper.dev
Agents
SnapDetect AI

SnapDetect AI

Built an image analysis system with 95% object detection accuracy using YOLOv5x and Mask R-CNN.

95%

Accuracy

OCR

Integrated

Python
YOLOv5
TensorFlow
React

Try my AI Voice Agent

Experience It Live

Click to start a voice conversation with my AI agent

🎤 Allow microphone access to speak with the AI agent

Numbers that matter

Quantifiable Results from Production Systems

Query Optimization

x

Latency Improvement

+

Concurrent Calls

+

Enterprise Clients

Performance Improvement

+

Strategic Indexes

+

RAG Response Time

+

Daily Calls

Skills Matrix

Constellation of Expertise

Hover over clusters • Click to explore

The human behind the AI

Because Even AI Needs a Great Engineer

Utkarsh Tiwari

Hi, I'm Utkarsh.

I build AI infrastructure that works in production—not just in demos.

My engineering philosophy was forged in real-time voice systems. When you're processing 500+ concurrent calls with sub-40ms latency, you learn that 'good enough' architecture doesn't exist. That rigor is what I bring to every project.

Today, I apply the same performance discipline to the full spectrum of AI engineering: RAG systems responding in milliseconds, PostgreSQL backends optimized with 43 strategic indexes, multi-agent systems automating complex workflows, and multi-tenant architecture supporting 13+ organizations.

I'm not a specialist looking for specialty work. I'm a systems engineer who solved the hardest real-time problems first. Whatever AI infrastructure challenge you're facing, I've likely encountered a harder version in production.

When I'm not building AI systems, I'm probably:

  • Architecting Scalable Systems
  • Performance Optimization
  • Open Source Contribution

Experience Timeline

Journey Through Dimensions

Tech Intern

Intern

Corporate Infotech Pvt Ltd (CIPL)(Intern)Jul - Aug 2024

Fine-tuned custom GPT-2 LLM on 350+ HR queries, resulting in 40% reduction in average HR query response time.

GPT-2 fine-tuningFlask-based UI40% response time reduction

Common Questions

Let Me Address The Obvious Ones

Ready to Build Your AI Infrastructure?

Let's discuss your project and see if we're a fit. No sales pitch. Just straight talk.

Book a Free Strategy Call

30 minutes • No obligation • Free

Or Send Me a Message