BAHAWAL KHAN

Hi, I'm

BAHAWAL KHAN

AI / ML ENGINEER

Portrait of Bahawal Khan, AI/ML Engineer
I am an AI/ML Engineer. I build Machine Learning systems. I work with Deep Learning, NLP & Transformers. I build RAG applications. I develop Agentic AI systems.

Building intelligent systems that solve real-world problems.

About

I build AI systems, not just models.

I'm Bahawal Khan, a BS Computer Science student at the University of Lahore (UOL), currently in my 7th semester with a CGPA of 3.06. My focus is on Artificial Intelligence and Machine Learning — spanning classical machine learning, deep learning, NLP, transformers, Generative AI and Agentic AI.

3.06

CGPA

7th

Semester

BS CS

Program

Alongside AI/ML, I also have hands-on web development experience, building interfaces and APIs with HTML, CSS, JavaScript, React.js, Next.js and FastAPI. I enjoy turning ideas into practical, end-to-end systems that can retrieve information, use tools, maintain context and interact with users.

Python
Machine Learning
Deep Learning
NLP
Transformers
Generative AI
RAG
Agentic AI
Capabilities

Technical Skills

Grouped by discipline — from classical ML through deep learning, generative and agentic AI, to the retrieval and tooling that ties it together.

Machine Learning

(11)
EDA
Feature Engineering
Linear Regression
Logistic Regression
K‑Nearest Neighbors (KNN)
Random Forest
XGBoost
Model Evaluation
Hyperparameter Tuning
SHAP
Optuna

Deep Learning

(10)
ANN
CNN
RNN
LSTM
GRU
Transformers
Self-Attention
DistilBERT
EfficientNetB0
Transfer Learning

NLP

(6)
NLP
TF-IDF
Text Classification
Embeddings
Semantic Search
Transformer-based NLP

Generative AI

(11)
LLMs
RAG
LangChain
LangGraph
Prompt Engineering
AI Agents
Tool Calling
Memory
Context Management
Hugging Face
Model APIs

Agentic AI

(6)
Agents
7 Tools
Booking Agent
HITL
Tool Calling
LangGraph

Database & Retrieval

(6)
PostgreSQL
pgvector
FAISS
Chroma
SQL
Vector Databases

AI / Developer Tools

(9)
Groq
Hugging Face
LangSmith
Cloudflare
Git
GitHub
Docker
FastAPI
External APIs

Multimodal AI

(4)
Vision / Image-to-Text
PDF QA
Voice
Image Generation

Web Development

(5)
HTML
CSS
JavaScript
React.js
Next.js
Portfolio

Selected Work

Five systems, one flagship — real architectures, real metrics, and how each one actually fits together.

ShopAgent

FlagshipCurrently Working

An agent-based shopping workflow designed to simplify product discovery and booking.

AgentsBooking AgentHITL
GitHub

ChatModel

A multimodal agentic AI assistant capable of interacting with users, retrieving information, using external tools and working across text, vision, PDF, voice and image-generation workflows.

LangGraphRAGPostgreSQLTool Calling
Live DemoGitHub

Customer Assistant

Built

An NLP/RAG support system that classifies incoming queries and retrieves grounded answers — transformer-based classification paired with embedding retrieval over a Postgres/pgvector-oriented store.

DistilBERTRAGEmbeddingspgvector
Live DemoGitHub

PlantCare AI

Built

A deep learning model fine-tuned to detect plant diseases from images across the PlantVillage dataset — a real agricultural use case, trained end-to-end on CPU.

EfficientNetB0Transfer LearningPlantVillage Dataset
Live DemoGitHub

ChurnAI

Built

An end-to-end machine learning pipeline predicting customer churn, comparing multiple models before selecting a winner on real test data.

Logistic RegressionRandom ForestHistGradientBoostingClassifierANN
Live DemoGitHub
Technical Journey

How the skillset was built

Stage 01

Classical ML

EDA, feature engineering, regression, ensemble models

Stage 02

Deep Learning

ANN, CNN, RNN, LSTM, GRU, transfer learning

Stage 03

NLP

TF-IDF, text classification, embeddings, semantic search

Stage 04

Transformers

Self-attention, DistilBERT, transformer-based NLP

Stage 05

Generative AI

LLMs, LangChain, prompt engineering, model APIs

Stage 06

RAG

Retrieval pipelines, vector databases, context management

Stage 07Current

Agentic AI

LangGraph agents, tool calling, memory, HITL

Engineering

How the technologies connect

An explanatory view of how the stack layers together — not a claim that every project uses every piece.

AI / ML

Classical MLDeep LearningNLP

Generative AI

LLMsRAGLangChainLangGraph

Agentic AI

ToolsMemoryHITLExternal APIs

PostgreSQL / Vector Retrieval

Contact

Let's build something intelligent.

Have an AI project, idea, or opportunity?