Muneeb Ali

Muneeb Ali

Full-Stack Engineer | AI Specialist | Architecting Scalable Multimodal Systems

Based in: Lahore, PKCurrently: Teaching Assistant — Database Systems, Dr. Sarwan Altaf Abbasi, FCCUExperience: 2 years

Hire me

CS graduate from FCCU specializing in AI engineering and full-stack development. Experienced in architecting microservices, fine-tuning LLMs, and building real-time multimodal AI pipelines. Proven track record of delivering complex, scalable systems like Oratoria AI and AI-powered recruitment tools, with deep expertise in Python, Next.js, and the LLM ecosystem.

Experience

Teaching Assistant — Database Systems

Dr. Sarwan Altaf Abbasi, FCCULahore, PKpart time2025 – Present
Supported 200+ students on SQL, relational design, and normalization; improved course materials and streamlined assignment workflows
SQLRelational DesignNormalization

Associate Software Engineer

Coders AlleyLahore, PKworkMay 2026
requests per minute throughput
1,000requests per minute throughput
reduction in latency
20%reduction in latency

Summary

Develop and maintain full-stack web applications for client projects, working across Next.js/React frontends and Python-based backends. Design and build AI pipelines integrating LLM APIs, embeddings, and third-party data sources to power product features for client deliverables

Results

  • Optimized AI pipelines and full-stack features to handle high-traffic loads of 1000 requests per minute.
  • Reduced system latency by 20% through backend and pipeline optimizations.
Next.jsReactPythonLLM APIsEmbeddings

Software Engineering Intern

Pak Elektron Limited (PEL)Lahore, PKinternshipMay 2025 – Jul 2025
Built and maintained internal web applications using ASP.NET, C#, and SQL Server in a large enterprise environment
ASP.NETC#SQL Server

Skills

Technical

PythonPython
GitGit
HTML/CSSHTML/CSS
FastAPIFastAPI
ReactReact
OpenAI API
REST APIs
Next.jsNext.js
GitHubGitHub
PyTorchPyTorch
JavaScriptJavaScript
TypeScriptTypeScript
SQLSQL
TailwindCSSTailwindCSS
shadcn/ui
DjangoDjango
WebSockets
OAuth 2.0
PostgreSQLPostgreSQL
SQLAlchemy ORMSQLAlchemy ORM
DockerDocker
Transformers
Hugging Face
Whisper
Vector Embeddings
Pandas
NumPy
Jupyter
Colab
ASP.NET
Wav2Vec2
MediaPipe
Express.jsExpress.js
Node.jsNode.js
OpenCVOpenCV
scikit-learn
SERP API
SQL ServerSQL Server
C#C#
LinuxLinux
Alembic
Agile
Framer Motion
Chrome Extension API
Azure

Projects

Oratoria AI

Lead Developerpersonal
Leading development of an AI-powered communication coach delivering real-time feedback for debate, interview, and presentation training. Architected 3-service microservices backend with FastAPI, PostgreSQL, SQLAlchemy ORM, Alembic migrations, RESTful APIs, and WebSocket protocol for low-latency bidirectional communication which is optimized for 100+ concurrent users. Integrated multimodal AI pipeline (Whisper STT, Wav2Vec2 emotion detection, MediaPipe gesture analysis, GPT-5/Mistral) and built Next.js 15 frontend with OAuth 2.0 (Google, GitHub, Facebook) and glassmorphism UI
Next.jsFastAPIPostgreSQLDockerWebSocketsLLMsSQLAlchemy ORMAlembicWhisper STTWav2Vec2MediaPipeGPT-5MistralOAuth 2.0

LLM Fine-Tuning for Debate Evaluation

Researcher/Developeracademic
Fine-tuned 12 open-source LLMs (Llama 3, Qwen 2.5, OpenHermes 2.5, WizardLM) achieving human-aligned debate scoring across content, structure, argumentation, and delivery. Developed iterative prompt optimization strategy reducing scoring deviation by 40%+ across 3–5 iterations. Built data pipeline processing 500+ hours of debate audio; benchmarked model robustness across prompt variations
PythonPyTorchTransformersHugging FaceLlama 3Qwen 2.5OpenHermes 2.5WizardLM

Job Board

Full-Stack Developerpersonal
Built a full-stack job board platform with dedicated candidate, recruiter, and admin portals using Next.js and FastAPI. Developed an AI-powered resume builder and resume-scoring engine using OpenAI and vector text embeddings to evaluate and rank candidate profiles. Implemented semantic job-matching via vector embeddings and integrated SERP API for automated job and company data aggregation
Next.jsFastAPIOpenAIVector EmbeddingsSERP APIHybrid Search

Education

Bachelor of Science in Computer Science

Forman Christian College and UniversityComputer Science2022 – 2026

Coursework

Mathematics

Recognition

Awards

Semi-Finalist — Allied Bank 4th FinTech Hackathon

Allied Bank2025

Competed nationally; advanced to semi-finals with a voice-enabled AI banking solution targeting non-smartphone users, including AI-driven savings optimization and personalized marketing features

Patents & publications

Can Lightweight LLMs Judge Debate?

research paper2025

Submitted — ACL Student Research Workshop 2025. Investigated whether sub-8B open-source LLMs can reliably evaluate debate quality; developed iterative prompt optimization achieving human-aligned scoring without GPT-scale models

What drives the work

Motivations

  • Building scalable AI-driven systems
  • Optimizing high-traffic backend architectures
  • Developing multimodal AI applications

Objectives

  • Full-Stack Development
  • AI Engineering
  • Python Backend
  • LLM Fine-Tuning
  • Microservices Architecture
  • Real-Time Systems
  • Next.js Ecosystem
  • Multimodal AI
  • Scalable Web Apps
Hire MuneebReach out about a role, a contract or a conversation.For recruiters

Muneeb's twin is AI, it can make mistakes.