Our work

Software that shipped.
Results clients measured.

AI platforms, MVPs, SaaS products and embedded engineering teams for founders and CTOs. Senior engineers, accountable from kickoff to production.

Book a 20 minute call → See the case studies
300+Systems shipped
318Upwork projects
26,886Client rated hours
100%Job Success
90%less documentationCasePath
<500msvoice responseTalk-Lee
+50%conversionsBagallery
3 yrsembedded teamUS fintech
40%faster transactionsTexell
0private keys exposedHaia
100%feature parity.NET MAUI
90%less documentationCasePath
<500msvoice responseTalk-Lee
+50%conversionsBagallery
3 yrsembedded teamUS fintech
40%faster transactionsTexell
0private keys exposedHaia
100%feature parity.NET MAUI
Featured case studies

Four stories. Real numbers.

AI, staff augmentation and SaaS work where the client measured the result, not us.

01 CasePath: AI case management for child welfare agencies
AI SaaS · Child welfare

CasePath: AI case management for child welfare agencies

The problem

Caseworkers spent more time writing case notes than working with families.

What we built

A SaaS platform built around an AI case summary engine. It turns raw case notes into clear, sourced summaries that supervisors can act on.

90%less documentation time
83%faster supervisor decisions
+20%caseload capacity, no new hires
AI summariesLLMSaaSAzure
See it live at mycasepath.com ↗
02 Talk-Lee: AI voice agents that answer and make business calls
AI voice · Healthcare, real estate, finance

Talk-Lee: AI voice agents that answer and make business calls

The problem

Missed calls meant missed bookings, and hiring more receptionists did not scale.

What we built

Human sounding voice agents: streaming speech to text, an LLM and NLU layer, text to speech, plus Twilio, HubSpot and Calendly with human handoff.

<500msresponse time
1,000+concurrent calls
30+languages
PythonStreaming STTLLM + NLUTwilio
See it live at talkleeai.com ↗
03 AI Recruitment Engine: LLM resume scoring, sourcing and outreach
AI · Recruitment automation

AI Recruitment Engine: LLM resume scoring, sourcing and outreach

The problem

Recruiters spent most of their week screening resumes and chasing candidates.

What we built

An LLM scores every resume against the real job requirements, sourcing pulls from LinkedIn, job boards, GitHub and referrals, and Twilio runs the follow up.

Real timeresume scoring
5candidate sources
AutoSMS and voice follow up
LLM scoringTwilioREST APIsATS sync
04 Fintech Payments Platform: Three years inside a fintech payments team
Staff augmentation · US fintech

Fintech Payments Platform: Three years inside a fintech payments team

The problem

A growing payments company needed senior engineers who would stay, learn the domain and ship, not rotate every quarter.

What we built

An embedded team on card services, transfers and remittances, lending workflows and KYC/AML integrations across web, mobile and internal tools.

3 yrssame senior engineers
4core payment modules
KYC/AMLcompliance built in
ASP.NET CoreAngularAzureSQL Server
Client name under NDA
More work

Across AI, MVP, SaaS and fintech

Client voices

Hear it from the people who hired us

★★★★★

Asif and his team are an excellent team to work with. Asif met all the deadlines that were set. I will definitely hire him again for future projects.

Rojelio Osorio
Rojelio OsorioSoftware Engineer, PDI Software
★★★★★

Easy to communicate and work with. All work done to satisfaction and changes/fixes done quickly without hassle.

Todd Goulding
Todd GouldingEngineering Manager, Power Digital Marketing
CasePath
AI SaaS · Child welfare

CasePath: AI case management for child welfare agencies

The problem

Caseworkers spent more time writing case notes than working with families.

What we built

A SaaS platform built around an AI case summary engine. It turns raw case notes into clear, sourced summaries that supervisors can act on.

90%less documentation time
83%faster supervisor decisions
+20%caseload capacity, no new hires
AI summariesLLMSaaSAzureAI engineering, full product
Talk to Asif about a similar build →
Talk-Lee
AI voice · Healthcare, real estate, finance

Talk-Lee: AI voice agents that answer and make business calls

The problem

Missed calls meant missed bookings, and hiring more receptionists did not scale.

What we built

Human sounding voice agents: streaming speech to text, an LLM and NLU layer, text to speech, plus Twilio, HubSpot and Calendly with human handoff.

<500msresponse time
1,000+concurrent calls
30+languages
PythonStreaming STTLLM + NLUTwilioAI engineering
Talk to Asif about a similar build →
AI Recruitment Engine
AI · Recruitment automation

AI Recruitment Engine: LLM resume scoring, sourcing and outreach

The problem

Recruiters spent most of their week screening resumes and chasing candidates.

What we built

An LLM scores every resume against the real job requirements, sourcing pulls from LinkedIn, job boards, GitHub and referrals, and Twilio runs the follow up.

Real timeresume scoring
5candidate sources
AutoSMS and voice follow up
LLM scoringTwilioREST APIsATS syncAI solutions architect
Talk to Asif about a similar build →
Fintech Payments Platform
Staff augmentation · US fintech

Fintech Payments Platform: Three years inside a fintech payments team

The problem

A growing payments company needed senior engineers who would stay, learn the domain and ship, not rotate every quarter.

What we built

An embedded team on card services, transfers and remittances, lending workflows and KYC/AML integrations across web, mobile and internal tools.

3 yrssame senior engineers
4core payment modules
KYC/AMLcompliance built in
ASP.NET CoreAngularAzureSQL ServerEmbedded senior engineers
Talk to Asif about a similar build →
Haia
AI · Fintech

Haia: AI finance agent for banks, crypto and investments

The problem

Money lives in banks, wallets and brokerages that never talk to each other.

What we built

One sentence in, one plan out. An LLM reads the request, routes it across bank, chain and broker, runs security checks, and the user signs on their own device.

0private keys exposed
4 stepsfrom intent to signature
AI orchestrationBanking APIsCrypto walletsBrokeragesAI engineering
Talk to Asif about a similar build →
Bagallery
AI · Ecommerce

Bagallery: 24/7 AI sales and support chat

The problem

Shoppers asked questions at 3 AM and nobody was there to answer.

What we built

An AI chat that answers product questions, recommends items and syncs every conversation to the CRM.

+50%conversions
35%faster responses
40%less support workload
AI chatRecommendationsCRM integrationAI chat and CRM integration
Talk to Asif about a similar build →
Autobound
AI sales · Staff augmentation

Autobound: Personalized sales outreach app

The problem

Sales reps needed personal emails at scale, not templates.

What we built

Built end to end: insight driven emails, prospect lists and multi step sequences with open and reply tracking, plus AWS hosting and CI/CD.

End to endfirst screen to production
AWShosting and CI/CD
AngularTypeScriptNode.jsAWSLead Angular developer
Talk to Asif about a similar build →
Order Automation
Automation · 2025 to now

Order Automation: Purchase orders that process themselves

The problem

Retailer purchase orders were retyped by hand into Sage 50, with errors and delays.

What we built

Retailer PO intake through SPS Commerce, inventory validation, automatic Sage 50 sales orders, logistics workflow and exception flags.

0orders retyped by hand
AutoSage 50 sales orders
ASP.NET CoreC#Sage 50SPS CommerceFull product build
Talk to Asif about a similar build →
Local Marketplace
MVP · Marketplace

Local Marketplace: Multi vendor marketplace, live on day one

The problem

Local businesses needed one place to sell online without building their own stores.

What we built

Seller portal, customer storefront and admin panel, built from scratch and ready to grow into a SaaS product without a rebuild.

3 appsone codebase
Day oneboth sides live
AngularASP.NET Core Web APISQL ServerMVP from scratch
Talk to Asif about a similar build →
Xceed 365
HR SaaS

Xceed 365: Talent management with built in learning

The problem

Training lived in one tool and promotions in another, so nobody trusted either.

What we built

Reviews, goals and 360 feedback in one Angular app, with courses and exams whose results feed straight into promotion eligibility.

1system for HR and learning
360°feedback cycles
AngularASP.NET Web APISQL ServerFull stack team
Talk to Asif about a similar build →
Texell Credit Union
Fintech · US credit union

Texell Credit Union: Digital banking across web, mobile and kiosk

The problem

Members wanted to bank and apply for loans online, and staff needed to track every loan file.

What we built

Online banking with MFA, loan and mortgage tracking for staff, and a self service kiosk with debit card integration, hosted on Azure.

40%faster transactions
5,000+members, PCI DSS compliant
ASP.NET CoreAngularAzureMFALead developer
Talk to Asif about a similar build →
.NET MAUI Migration
Staff augmentation · Mobile

.NET MAUI Migration: Xamarin.Forms to .NET MAUI with full parity

The problem

Xamarin support was ending and the booking app could not go offline for a rewrite.

What we built

Moved 35+ screens to .NET MAUI for iOS and Android, kept the MVVM architecture and shipped without users noticing.

35+screens migrated
100%feature parity
.NET MAUIC#MVVMAzureModernisation
Talk to Asif about a similar build →
DashboardInsights
Data and analytics SaaS

DashboardInsights: Real time dashboards from every data source

The problem

Data sat in SQL Server, PostgreSQL and spreadsheets, so reports were always a week old.

What we built

Dashboards on ASP.NET Core and Angular with Power BI, data on AWS RDS with Lambda functions, deployed on Azure.

Real timeevery data source
2 cloudsAWS data, Azure app
ASP.NET CoreAngularPower BIAWS RDSFull stack developer
Talk to Asif about a similar build →