PSLet's Talk →

AI-ACCELERATED PRODUCT ENGINEERING

BUILD WITH AI.
SHIP FASTER.

I help founders and teams turn ideas into working software using AI-accelerated development — and help existing products become faster, more reliable and ready to scale.

15+ yearsengineering experience
AI-accelerateddevelopment
Performance& scale
Prashant K. Sahni — Engineering & Product Consultant

“Ship early. Learn fast. Build what matters.”

Prashant K. Sahni

CORE SERVICES

BUILD. FIX. SCALE.

Three ways I help founders and engineering teams build faster and scale better.

01Service

BUILD

Have an idea that needs to become real? I help turn product ideas and requirements into working software quickly, using short feedback cycles and AI-accelerated development.

PrototypeMVPProduction
Build with me →
02Service

FIX

Slow application? Unreliable backend? Database bottleneck? Technical debt? I diagnose problems across the frontend, backend, database and architecture — and fix them at the root.

PerformanceArchitectureReliability
Solve a problem →
03Service

SCALE

Growing product or increasing traffic? I help make systems faster, more resilient and easier to operate.

ArchitectureCloudDatabasesDevOps
Scale with me →

HOW I WORK

BUILD FIRST.
LEARN FASTER.

Traditional software development can spend weeks in discovery, strategy and planning before anyone sees something real. AI changes the economics of building software. I still spend time understanding the problem, defining constraints and making the right architectural decisions. But instead of disappearing into a long planning cycle, I move quickly toward a working implementation.

01

Understand

Problem, users, goals and constraints.

02

Build

Create a working solution quickly with AI-accelerated development.

03

Show

Put real software in front of people early.

04

Learn & Improve

Iterate, refine and scale based on feedback.

AI accelerates the implementation. Engineering judgment keeps it production-ready.

Start a project →

AI PRODUCT SPRINT

FROM IDEA TO WORKING SOFTWARE IN DAYS.

A focused product-engineering sprint for founders and teams who want to test an idea without spending months in planning and development. Clearly defined product slices can reach a working version in days.

ALIGN→DEFINE→BUILD→SHOW→ITERATE

What's included

  • •Focused discovery & slice definition
  • •Smallest valuable working product slice
  • •Architecture & key tech decisions
  • •AI-accelerated implementation
  • •Core user flows & key UI components
  • •Backend logic & API integrations
  • •Deployed preview environment
  • •Early demos & rapid feedback loops
  • •Clear roadmap for next-phase scaling

Best for

Founders validating new concepts, engineering leaders accelerating critical product features, and teams testing ideas with real software early.

Sprint Goal

Build the right slice → Show real software → Learn quickly → Decide what comes next

ENGINEERING EXPERTISE

ENGINEERING DEPTH,
ACCELERATED BY AI.

THE STACK IS NOT FIXED.

I can work with the framework, infrastructure and technology choices your product requires.

Product Engineering

ReactNext.jsTypeScriptJavaScriptFrontend Architecture

Backend

PythonGoNode.jsRuby on RailsAPIsDistributed Systems

Data

PostgreSQLPostGISNoSQLRedisSanity CMS

Cloud & DevOps

AWSGCPVercelDockerKubernetesKafkaCI/CDObservability

Performance & Scale

Frontend PerformanceBackend OptimizationDatabase OptimizationScalabilityReliability

AI & Engineering Productivity

LLM Agent OrchestrationLangChainLangGraphRAGPrompt EngineeringVector DatabasesMLOpsAI Infrastructure

ALREADY HAVE A PRODUCT?

MAKE IT FASTER.
MAKE IT SCALE.

You don't always need a rewrite. Sometimes you need to understand what's actually slowing the system down.

Solve a performance problem →
Slow pages / Core Web Vitals
Frontend rendering & layout shifts
Slow APIs & timeouts
Latency & response bottlenecks
Backend bottlenecks
Concurrency & resource contention
Database performance
Indexing, N+1 queries & locking
High infrastructure costs
Cloud footprint & over-provisioning
Scaling problems
Load spikes & traffic thresholds
Architecture constraints
Tightly coupled legacy services
Deployment & reliability
Downtime, errors & monitoring gaps
Technical debt
Slow iteration & risky releases

MEASURABLE OUTCOMES

80%

Reduction in research/news-discovery effort

50–60%

Increase in engineering productivity using AI agents

50%

Reduction in merchant onboarding time

60%

Reduction in third-party geolocation costs

30%

Increase in customer-care agent productivity

70–80%

Improvement in product-search performance

SELECTED WORK

FEATURED CASE STUDIES

AI Financial Research PlatformFeatured

DRO

Problem:Financial analysts spent hours manually discovering, reading, and synthesizing market news.
What I did:Designed & built an AI-assisted search and discovery workflow with automated content intelligence.
Result:80% reduction in research effort and faster time-to-insight for decision-makers.
AI AgentsReactNext.jsPythonVector Search
Embedded FinTech WorkflowFeatured

Merchant Lending Platform

Problem:Complex manual underwriting and fragmented onboarding caused high drop-offs.
What I did:Engineered automated merchant verification, risk scoring, and instant loan approval flows.
Result:50% reduction in merchant onboarding time and increased application completion.
ReactTypeScriptNode.jsPostgreSQLAWS
Identity & Verification

Centralized KYC Application

Problem: Disparate compliance tools led to manual review overhead and high operational costs.

Result: 30% increase in customer-care agent productivity across all verification pipelines.

Next.jsTypeScriptAWSDocker
Digital Publishing & Content

ICF Website Rebuild

Problem: Legacy CMS caused slow page loads, publishing friction, and poor mobile engagement.

Result: Sub-second page loads and zero layout shifts across editorial articles.

Next.jsSanity CMSVercelTailwind CSS
E-Commerce Engineering

Moda Operandi

Problem: High-traffic product search and checkout bottlenecks during luxury trunkshow launches.

Result: 70–80% improvement in product-search performance under heavy concurrent traffic.

ReactGraphQLAPIsPerformance Optimization
Enterprise Cloud Contact Center

Odigo

Problem: Agents struggled with context switching across disconnected customer interaction tools.

Result: Streamlined agent workflows and improved first-contact resolution rates.

ReactPythonCloud InfrastructureDistributed Systems

ABOUT

ENGINEERING EXPERIENCE.
PRODUCT THINKING.
HANDS-ON EXECUTION.

I've spent 15+ years building software, designing systems and solving difficult engineering problems across FinTech, AI, E-commerce and enterprise software.

My experience spans product engineering, distributed systems, cloud infrastructure, DevOps, performance and AI-enabled engineering workflows.

Today, I combine that engineering experience with AI-accelerated development to shorten the distance between an idea and working software.

I DON'T BELIEVE AI REPLACES ENGINEERING JUDGMENT. I BELIEVE IT LETS EXPERIENCED ENGINEERS MOVE FASTER.
CertificationAWS Certified Solutions Architect – Associate

LINKEDIN NEWSLETTER

BUILDING SOFTWARE IN THE AI ERA.

I write about AI-assisted development, software architecture, engineering practices, performance, and building better products in the AI era.

Subscribe on LinkedIn →

LET'S WORK TOGETHER

HAVE SOMETHING TO
BUILD, FIX OR SCALE?

Tell me what you're working on. I'll take a look and we'll figure out the best way forward.

Subscribe on LinkedIn →