class NimraKhalid:
def __init__(self):
self.name = "Nimra Khalid"
self.role = "AI Engineer"
self.location = "Islamabad, Pakistan 🇵🇰"
self.education = "BS Artificial Intelligence — SZABIST (CGPA: 3.68/4.0 🥈 Silver Medalist)"
self.seeking = "Exciting AI Engineering opportunities 🚀"
self.focus = ["Agentic AI", "NLP", "Computer Vision", "LLMs", "Data Pipelines"]
self.email = "nimra3261@gmail.com"
def say_hello(self):
print("Let's build something intelligent together! 🚀")
me = NimraKhalid()
me.say_hello()|
Custom agent-loop frameworks enabling LLMs to reason, select tools, and execute tasks autonomously — with tool registries, prompt orchestration, and observation handling. |
End-to-end data ingestion processing audio, images, PDFs, and text into structured training datasets using LLaMA, LLaVA, and other multimodal models. |
|
Real-time object detection and segmentation systems — from construction safety monitoring to fruit detection with YOLOv8. |
Embedding-based document retrieval using FAISS without LLMs, plus NLP-powered recruitment systems that parse CVs and rank candidates. |
Languages
AI / ML
Tools
| Role | Company | Period | |
|---|---|---|---|
| 🤖 | AI Engineer | RCM Nexus | Jul – Dec 2025 |
| 🧠 | AI / ML Engineer | Biome | Jul – Oct 2025 |
| 🔬 | AI Engineer Intern | Disruptive AI | Jun – Sep 2024 |
|
A real multi-tenant SaaS: businesses sign up, paste their FAQ/docs, and get an embeddable chat widget that answers customer questions grounded only in their own content. Per-tenant document storage in Supabase pgvector, Groq for generation, Stripe billing with real usage-limit enforcement, and a vanilla-JS widget with zero framework dependency for end customers.
|
|
|
Retrieval-augmented document Q&A — FastAPI backend, ChromaDB vector store, Claude API generation, React frontend. Ships with a retrieval-quality eval harness (
|
|
|
A decoder-only transformer with hand-written causal self-attention — no
|
|
|
Researcher, writer, and critic agents hand off work in sequence with live SSE streaming — the critic checks every claim in the draft actually traces back to the research brief and triggers a real revision when it doesn't. Next.js + TypeScript, new stack for this portfolio.
|
|
|
Plans a question into sub-questions, researches each with live web search, and synthesizes one answer where every claim cites the source that actually supports it — pulled from real search results, never invented.
|
|
|
End-to-end recruitment platform — job postings, GPT-4 resume screening against the job description, interview panel scheduling and evaluation, personality assessment, and offer letters, with role-based dashboards for HR, HOD, and Dean.
|
Three models compared honestly on cross-validated ROC-AUC (logistic regression won), with SHAP explaining each individual prediction rather than just outputting a number.
|
|
Real-time fruit detection and classification using YOLOv8. Full pipeline from dataset prep to model inference.
|
|
| Award | |
|---|---|
| 🥈 | Silver Medalist — Top Graduate, SZABIST Islamabad (2025) |
| 🌐 | Microsoft Learn Student Ambassador (MLSA) — SZABIST |
| ⚙️ | Agentic AI Engineering — Professional Certification |
| 🤖 | Generative AI For Everyone — DeepLearning.AI |
| 📐 | Machine Learning Specialization — Andrew Ng, Coursera |
I'm actively seeking exciting AI Engineering opportunities — open to relocation.
"Let's build something intelligent together 🚀"