Founder & CEO · Lahore, working US hours

Senior engineers for SaaS teams behind on their roadmap.

MVPs, AI features, staff augmentation and project rescue. Senior engineers only, in your standups within days, and I stay personally accountable after kickoff.

Top Rated Plus 100% Job Success 27,000+ hours on Upwork
Asif Hameed
Asif HameedYou talk to me, not a sales rep
Top Rated PlusUpwork · 100% Job Success 318Upwork projects
300+Systems shipped
100+Clients served
18 yrsShipping software
Why not just hire?

Same goal. Very different roads.

Time until a senior engineer ships code in your repo.

What I help with

Most teams come to me short on engineers. Some stay for the AI work.

Add one senior engineer to your team, or hand over the whole build with a PM who owns delivery.

Start here

Staff augmentation

Senior .NET, Angular, Node and AI engineers who join your standups, work in your Jira, Slack and Git, and ship. You lead, they deliver. Every pull request is reviewed by a senior lead.

  • .NET
  • C#
  • Angular
  • Node
  • Python
  • Azure
  • AWS

Monthly billing · 40 hrs/week per engineer · scale up or down with notice.

Build02

MVP development

Ship v1 without a four-month hiring cycle. Auth, payments and data done properly the first time.

AI03

AI features & agents

AI built into products that already have users, with token costs and data under control.

Fix04

Project rescue

Previous vendor gone quiet? I audit what you have, stabilise it and get it to production.

Scale05

SaaS & .NET modernisation

Legacy .NET Framework moved to modern .NET step by step, without stopping the business.

Built onC# · ASP.NET Core · Angular · Node.js · Python · SQL Server · Azure · AWS · OpenAI · Anthropic
Selected work

Software that shipped. Results the client measured.

Pick a project to see the problem, what we built and the numbers.

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

90%
less documentation time
83%
faster supervisor decisions
+20%
caseload capacity, no new hires
LLMAI summariesSaaSAzure
See it live ↗

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 and text to speech, wired into Twilio, HubSpot and Calendly with human handoff.

<500ms
response time
1,000+
concurrent calls
30+
languages
PythonStreaming STTLLM + NLUTwilio
See it live ↗

Three years inside a US 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 across web, mobile and internal tools.

3 yrs
same senior engineers
4
core payment modules
KYC/AML
compliance built in
ASP.NET CoreAngularAzureSQL Server
Client under NDA

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 integration

AI Recruiting 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 five channels, and Twilio runs the follow-up.

6 hrs
to a shortlist, down from 5 days
800+
candidates a week
0
new recruiters hired
LLM scoringTwilioATS sync
In the client’s words

Trusted by founders and engineering leaders.

Every hour on Upwork is rated by the client who paid for it. Here is what some of them said.

Client video: Launched MVP in 6 weeks
★★★★★

An MVP launch that broke hours before go-live, fixed before morning.

Six weeks of build came down to one failing API integration on launch night. We found it, fixed it and tested the full flow before morning. The client tells the rest.

Watch on YouTube ↗
★★★★★
Asif is a solid .NET developer who was able to pickup Azure technologies such as Azure Table Storage and a variety of new tools for our startup project. He always brought a good attitude and produced clean code. He was able to take loose specifications and make them a reality.
Paul MendozaPaul MendozaStartup client, Azure project
★★★★★
Asif and his team are an excellent team to work with. Asif gives his upmost dedication to the project and is diligent in meeting all the requirements. Asif met all the deadlines that were set. I will definitely hire him again for future projects and highly recommend him.
Rojelio OsorioRojelio OsorioSoftware Engineer, PDI Software
★★★★★
Easy to communicate and work with. All work done to satisfaction and changes/fixes done quickly without hassle.
Todd GouldingTodd GouldingEngineering Manager, Power Digital Marketing
How it works

From first call to first commit in 1–2 weeks.

The same process whether you add one engineer or a whole team.

Day 1–3

Tell me what’s blocking you

A 20-minute call on your roadmap, stack and budget. Then a written team plan with roles and monthly cost.

Week 1

Meet and approve

You interview every engineer. NDA and access set up, and they join your standups.

Weeks 1–2

2-week sprint

Real, fixed-scope work you can judge on output, not a slide deck.

Ongoing

Scale what works

Add engineers as the roadmap grows, or walk away with the code. Your call.

2 wksFIXED SCOPE

Not sure we fit? Prove it on real work first.

If the first sprint doesn’t move your roadmap, you’ve lost two weeks, not a contract.

Book a 20-min call →
You approve every engineer Your Jira, Slack and Git Code & IP yours from day one 5–8 hrs EST overlap Replace an engineer if the fit is wrong
About me

Founders don’t fear bad code. They fear losing control.

My job is to make sure they never do.

I started as a hands-on .NET engineer, led enterprise builds and served as a CTO. I’ve logged 27,000+ hours on Upwork with a 100% Job Success Score and Top Rated Plus status, most of it for US founders and CTOs.

In 2012 I built a senior team in Lahore to do that work at scale. Today it’s 25+ people, most of whom have been with us for years. Together we’ve shipped 300+ systems for 100+ clients.

I still write code, and it’s public on GitHub. When you book a call, you talk to me, and I stay accountable after kickoff.

Me
18 years in software · Upwork Top Rated Plus
Team
Since 2012 · 25+ people · Lahore, PK, working US hours
Code
github.com/asifhameed8
Next step

Roadmap slipping?

Bring your MVP, AI idea or stalled build. In 20 minutes we’ll find the bottleneck and the next step. No sales deck.