Software Developer

Building High-Performance Platforms From Infrastructure To Interface.

I design and implement robust, high-performance software systems. As a Computer Science graduate from FAST-NUCES, my work bridges the gap between complex algorithms and intuitive, functional user experiences as a Software Developer.

Whether it is building mathematical optimization engines, implementing RAG pipelines with vector databases, or training face recognition models for automated media workflows, I focus on system efficiency and correctness.

Portrait of Saad Asif
PythonFastAPIReactNext.jsSupabasePostgreSQLFAISS Vector DBDuckDBPuLP (ILP)InsightFaceCLIPYOLOv8DockerBootstrapTailwindCSSWebSocketsGitPnpmPythonFastAPIReactNext.jsSupabasePostgreSQLFAISS Vector DBDuckDBPuLP (ILP)InsightFaceCLIPYOLOv8DockerBootstrapTailwindCSSWebSocketsGitPnpm
02 — Projects

Featured Projects

01

BookYourShoot

An AI-powered full-stack photography booking platform and marketplace. Features a mathematical photographer-matching optimization engine (ILP via PuLP), a secure Stripe escrow payment system, real-time WebSocket chat, and an AI smart album builder utilizing InsightFace ArcFace embeddings, DBSCAN clustering, CLIP zero-shot mood detection, and OpenCV image quality analysis.

React
FastAPI
Stripe Escrow
Supabase
PuLP (ILP)
InsightFace
CLIP
YOLOv8
02

CVClinic

A RAG-based resume advisor and career optimizer. Utilizes a FAISS vector database with sentence-transformers embeddings to match user CVs against live job postings. Computes skill overlaps, calculates a custom resume score (0-100), and interfaces with Google Gemini to generate LaTeX-formatted resume rewrite suggestions and personalized cover letters.

Python
FastAPI
FAISS Vector DB
Gemini API
sentence-transformers
React
03

ScoutVCT

An AI-powered competitive analysis and scouting dashboard built for Cloud9's Valorant coaching staff. Incorporates a natural language chat interface leveraging Google Gemini to dynamically generate and execute complex SQL queries over a DuckDB database of match history, delivering live team overview, player stats, map analysis, and exploitable weakness reports.

React
FastAPI
DuckDB
Gemini API
TailwindCSS
01 — About Me

Engineering solutions for real-world impact.

I am a Computer Science graduate from FAST-NUCES with a passion for building complex, data-driven systems and end-to-end full-stack applications. My approach centers on combining robust backend engineering with responsive, intuitive frontend interfaces to deliver seamless, production-ready solutions.

My hands-on experience spans the entire application stack: from designing scalable database schemas, developing fast REST/WebSocket APIs, and setting up vector databases for RAG pipelines, to building dynamic user dashboards and fine-tuning computer vision and NLP models.

I thrive on building high-performance software that solves concrete, real-world problems—whether it is building AI-driven scouting dashboards for professional gaming teams, RAG advisors calibrated against live job feeds, or secure payment marketplaces with escrow integration.

Languages

PythonTypeScriptJavaScriptSQLHTML/CSS

Frameworks & UI

ReactFastAPINext.jsBootstrapTailwindCSS

AI & Databases

FAISS Vector DBDuckDBSupabasePostgreSQLCLIP / YOLOv8

Tools & Libraries

Stripe EscrowInsightFaceWebSocketsMoviePyGit / PnpmDocker
Next Steps

Initiate Connection

Currently open to new opportunities. Whether you have a question, a project proposal, or just want to say hi, my inbox is always open.

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