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Fast '26 | AI and ML enthusiast
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FawwazRaza/README.md

Software Engineer | Full-Stack Developer | AI/ML Engineer

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About Me

I'm a Software Engineer and graduated from FAST NUCES. I spent my time in learning how to build software that is fast, clean, and reliable. I enjoy the logic behind a project — figuring out the best way to move data or the most efficient way to solve a problem.

I am deeply interested in algorithms and optimization. I don't just want my code to work; I want it to be efficient. When working on a voice AI project, I focused on fine-tuning a small 30MB model so it could run instantly on a phone without needing the internet. I enjoy looking at a task and finding a way to make it run faster or use less memory.

I believe the best software comes from solid team effort. Across different companies, I regularly worked alongside other developers to make sure the backend, frontend, and AI parts all fit together perfectly. I write clean code and use clear REST API headers so my teammates can easily integrate their work with mine.

I have worked on projects that handle real-world stress. I have built parts of large systems — a multi-tenant school platform, automated business tools that connect to Workday, and real-time voice AI pipelines. Whether I am working on a 4-layer backend or a simple search tool, I follow professional design patterns to keep the code easy to maintain.

Goal: To join a top-tier team where I can use my skills in algorithms and system design to build high-quality products.


Tech Stack

Languages

Python JavaScript C++ SQL HTML5 CSS3

Backend & APIs

Django FastAPI Node.js Express.js

Frontend

React Material-UI Bootstrap Streamlit

AI & Machine Learning

LangChain OpenAI Hugging Face PyTorch Keras scikit-learn

Vector Databases

Pinecone ChromaDB

Databases

PostgreSQL MySQL MongoDB

Data Science

Pandas NumPy PySpark

DevOps & Tools

Git Docker Linux VS Code


Featured Projects

Project What It Does Tech Stack Impact
QueryClipGitHub Ask questions about any video and get timestamped answers Whisper, ChromaDB, FastAPI, LangChain, FFmpeg, Redis Semantic video Q&A with caching
SkillWarp LMS Multi-tenant AI learning platform with voice tutoring Django REST, PostgreSQL, Pinecone, Whisper, ElevenLabs 50+ APIs, real-time RAG tutor
Workday + OpenDental Voice Agent Real-time voice AI for HR/CRM workflows Retell AI, LiveKit, Twilio, Deepgram, Groq, ElevenLabs Sub-200ms latency, 99% completion
Wealth Shield Financial document RAG with IRR/NPV auto-extraction FastAPI, Pinecone, BM25, LangChain, Streamlit 95%+ extraction accuracy
TARA Travel 4-tier travel agency platform with AI trip planning Django REST, PostgreSQL, JWT, MCP, LLM APIs 30% faster client onboarding
SentientEdge Real estate intelligence with NLP scoring FastAPI, PostgreSQL, Fine-tuned LLM, Geospatial AI Final Year Project

Professional Experience

AI Engineer @ Systems Limited

  • Built AI automation pipelines for enterprise HR, IT, and support workflows using Python, LangChain, and Azure OpenAI — processing 1,500+ daily requests
  • Cut inference costs by optimizing prompt context usage instead of relying on expensive Copilot/Power Automate flows
  • Built 15+ REST APIs and webhooks with FastAPI to connect AI services to internal enterprise systems
  • Added monitoring and observability for AI latency, accuracy, and production health

Generative AI & Django Backend Engineer @ Artificizen

  • Built multi-tenant backend with 150+ RESTful API endpoints and 20+ PostgreSQL tables using Django REST Framework
  • Reduced page load time from 2.5s to 0.8s through indexing and query optimization
  • Deployed production RAG apps with OpenAI, LangChain, Pinecone, and BM25 — 90%+ semantic search accuracy
  • Built real-time voice AI with Deepgram, ElevenLabs, Twilio, LiveKit, and Groq — sub-200ms latency
  • Dockerized AI backend services and deployed multi-agent workflows for scalable production inference

Python Developer & AI/ML Intern @ AdAxiom Tech

  • Built a semantic-search chatbot with FastAPI, OpenAI Embeddings, and ChromaDB serving 1,000+ products at 95% retrieval accuracy
  • Built ETL pipelines with Pandas and NumPy for preprocessing and embedding generation
  • Reduced search latency by 60% by optimizing PostgreSQL queries and adding Redis caching

Certifications & Achievements

  • Microsoft Certified: Machine Learning Operations Engineer Associate — Jul 2026
  • Microsoft Certified: Azure AI Apps and Agents Developer Associate — Jul 2026
  • NSCT — Ranked in the Top 1.9% (98.1 percentile) nationwide, HEC Pakistan & PSEB (2026)
  • Dean's List — Fall 2022, Spring 2023, Fall 2023, Fall 2025, Spring 2026
  • DeepLearning.AI — Pretraining LLMs, OCR and PaddleOCR
  • Udemy — Complete GenAI Course with LangChain & Hugging Face (Krish Naik, 2025)
  • DataCamp — Supervised Learning, Deep Learning, FastAPI, OpenAI API, MLOps, SQL Fundamentals
  • Leadership — Programming Competition Officer, SOFTEC 2024 (organized contests for 100+ participants)

GitHub Stats

GitHub Streak

Contribution Graph

Latest Writing

Read more on Medium →


Let's Connect

I'm always open to discussing:

  • Full-time Software Engineer opportunities
  • Collaboration on AI/ML and full-stack projects
  • Open source contributions
  • Technical writing and knowledge sharing
  • Production system architecture and design patterns

Email LinkedIn Portfolio Medium


"Empowering communities with intelligent systems, one line of code at a time."

If you find my work interesting, consider giving my repositories a ⭐

Thanks for visiting! 😊

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