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Hi.
Software Engineer.
Full Stack Developer.
AI Systems Engineer.
Building Software Products that scale beyond millions of requests.
Syed Abdul Ahad
Karachi, Pakistan
Mission
About
Syed Abdul Ahad
Software Engineer with 1.5+ years
building production platforms
from concept to deployment.
Syed Abdul Ahad is a Software Engineer from Karachi, Pakistan, with a Bachelor of Engineering in Software Engineering from NED University of Engineering and Technology. His professional experience includes MarkCoders, Pulse Consultants Ltd., and OmniSol AI. Experienced in designing modular systems, orchestrating multi-LLM workflows, and delivering end-to-end solutions with React, Next.js, Node.js, TypeScript, PostgreSQL, MongoDB, Redis, and AWS.
0.0+
Years
0+
Features
0+
AI Systems
0%
Cost Reduction
2022 – 2026
Bachelor of Engineering (BE)
NED University of Engineering and Technology
2020 – 2022
Intermediate
Govt. Delhi College
0.0+
Years Experience
0+
Features Shipped
0+
AI Systems
0%
Cost Reduction
Featured Projects
01 · Low-Cost Connectivity Mesh · FYP
Solar-powered mesh networking for low-coverage regions. Distributed ESP32/LoRa nodes self-connect for rural communication, smart agriculture, and digital access — top 12 finalist at Invent for the Greater Good (IBA).
02 · MarkCoders
Production AI recruitment platform with resume intelligence, candidate matching, AI interviewing, and conversational AI — orchestrating OpenAI and Gemini behind a modular framework that cut inference cost ~50%.
03 · Mentorship Marketplace
Full-stack mentorship marketplace with mentor–mentee matching, session booking, Google Calendar & Meet, OAuth, and PayPal PPCP payments — built for production-grade reliability on AWS and Vercel.
More work
AI Cancer Treatment Platform
AI-driven platform that analyzes cancer patients’ medical records to generate personalized treatment plans, with secure health data management, real-time tracking, and an ethical medication e-store.
Real-Time Chat
Real-time chat with instant messaging, secure transmission, and OAuth — built on the MERN stack with Socket.IO, Tailwind CSS, and DaisyUI.
Blockchain Crowdfunding
Blockchain-powered crowdfunding platform for decentralized startup fundraising — role-based React UI, smart-contract investments, real-time chat, MetaMask, and CNIC-based KYC.
Movie Streaming Platform
Front-end contribution to a movie streaming platform — intuitive viewing UI with HTML, CSS, JavaScript, Node.js, Express, MySQL, and cloud storage for media.
Python Virtual Assistant
Backend for a Python virtual assistant inspired by Jarvis — Bard AI, speech recognition, geolocation, and automation libraries for advanced capabilities.
Inside the platform
Resume intelligence, multi-LLM orchestration, and cost-aware inference, the product capabilities that turn models into production software.
Feature 01
Crawl, preprocess, and validate before the model runs — fewer wasted tokens, higher relevance.
Feature 02
OpenAI and Gemini behind a modular router using SOLID patterns — ~40% less effort to ship new AI capabilities.
Feature 03
Intelligent pipelines cut AI inference costs and response times by ~50% on the recruitment platform.
What I Build
01
Multi-LLM orchestration, validation pipelines, and cost-aware inference for production recruitment and healthcare systems.
02
End-to-end SaaS and marketplaces targeting 100,000+ users — architecture, delivery, and engineering standards.
03
WebSockets, queues, and event-driven backends for chat, inventory, and background AI workloads.
Engineering Process
How production systems move work through gateways, queues, orchestration, and AI — then back to the interface.
01 / 10
User request enters the product surface
02 / 10
Auth, rate limits, and request routing
03 / 10
Coordinates services, AI calls, and workflows
04 / 10
Async work via BullMQ / RabbitMQ
05 / 10
Redis for sessions, hot paths, and reuse
06 / 10
LLM routing across OpenAI and Gemini
07 / 10
Preprocess, guardrails, and quality checks
08 / 10
PostgreSQL / MongoDB as system of record
09 / 10
WebSockets and event-driven updates
10 / 10
Next.js / React delivery to the user
Building at Scale
What the work moved at MarkCoders, Pulse Consultants Ltd., and OmniSol AI — not what the job description said.
May 2026 – Present
Leading an AI recruitment platform from architecture to production.
MarkCoders · Associate Software Engineer
50%
Lower AI cost and latency
10+
AI features in production
Multi-LLM
OpenAI + Gemini router
Aug 2025 – May 2026
Owned architecture and delivery for three client platforms as Full Stack Lead.
Pulse Consultants Ltd. · Software Engineer
100K+
Users targeted across 3 products
35%
Faster delivery cycles
50+
Reusable components
Feb 2025 – Aug 2025
Built and optimized the backbone of a large-scale inventory SaaS.
OmniSol AI · Junior Software Engineer
1.25x
Faster API response
Modular
Nest.js service layers
SaaS
Inventory at scale
Tech Stack
React
Next.js
TypeScript
JavaScript
Node.js
Nest.jsReactNext.jsTypeScriptJavaScriptNode.jsNest.js
Express
Python
PostgreSQL
MongoDB
MySQL
PrismaExpressPythonPostgreSQLMongoDBMySQLPrisma
Redux
Tailwind
WebSockets
GitHubReduxTailwindWebSocketsGitHubAchievements
2nd Prize
Expo Center, Karachi
Secured Second Prize in Full Stack web application competition at Teknofest, competing with teams from all over Karachi, organized by Islami Jamiat e Talba Pakistan.
1st Prize
NED University
Achieved First Prize in Desktop Application Development at CodeSphere, organized by the Software Department of NED University.
Top 12 Finalist
IBA, Karachi
National-level representation showcasing WisprNet among 200+ projects from all over Pakistan.
Outcomes
Statements grounded in production metrics from the resume — not invented endorsements.
“Modular AI orchestration for OpenAI and Gemini reduced feature implementation effort by ~40% and cut inference costs and response times by ~50%.”
“Led 3 client projects targeting 100,000+ users; modularized Home Town Hero into 50+ reusable components, cutting development time by 35% while coordinating a team of 4 to ship 100+ features.”
“Optimized Nest.js REST APIs and database queries on a large-scale inventory SaaS, improving system performance by 1.25x while keeping modular architecture intact.”
“Modular AI orchestration for OpenAI and Gemini reduced feature implementation effort by ~40% and cut inference costs and response times by ~50%.”
“Led 3 client projects targeting 100,000+ users; modularized Home Town Hero into 50+ reusable components, cutting development time by 35% while coordinating a team of 4 to ship 100+ features.”
“Optimized Nest.js REST APIs and database queries on a large-scale inventory SaaS, improving system performance by 1.25x while keeping modular architecture intact.”
“Modular AI orchestration for OpenAI and Gemini reduced feature implementation effort by ~40% and cut inference costs and response times by ~50%.”
“Led 3 client projects targeting 100,000+ users; modularized Home Town Hero into 50+ reusable components, cutting development time by 35% while coordinating a team of 4 to ship 100+ features.”
“Optimized Nest.js REST APIs and database queries on a large-scale inventory SaaS, improving system performance by 1.25x while keeping modular architecture intact.”
FAQ
Production full-stack products, AI system design (multi-LLM orchestration, queues, cost control), and scalable SaaS platforms — from architecture through delivery.
Contact
Open to production full-stack work, AI systems, and platforms that need ownership from architecture to ship.
