Sanwal.

Sanwal Bilal

AI Engineer & Architect | Specialist in Computer Vision, RAG, and Autonomous Agents

Overview

Junior Machine Learning Engineer with a proven track record of architecting end-to-end AI pipelines. Expert in Computer Vision (YOLO, InsightFace) and LLM orchestration (LangGraph, RAG). Developed production-ready systems for real-time safety monitoring and autonomous reconnaissance. Passionate about bridging the gap between complex AI research and practical, scalable hardware/software integrations.

Islamabad, Pakistan

Experience

Feb 2023

WORK

Junior Machine Learning Engineer

AI Soft (Pvt) Ltd

Islamabad, Pakistan

Developed, deployed, and maintained scalable AI/ML applications using Python, TensorFlow, and PyTorch, improving system performance by 30% and reducing processing time by 25%. Designed and deployed ML models for AI-driven features, achieving 90%+ accuracy across key use cases and enhancing user engagement by 20%. Integrated third-party AI/ML APIs into existing web applications, reducing development time by 40% and improving feature delivery speed. Implemented data-driven optimization strategies, increasing model efficiency by 25% and reducing error rates by 15%. Built and optimized NLP pipelines using open-source LLMs for summarization and information extraction, improving response relevance by 35%. Led NLP and computer vision initiatives, improving team productivity by 20% through collaboration and mentorship.

•Developed, deployed, and maintained scalable AI/ML applications using Python, TensorFlow, and PyTorch

•Designed and deployed ML models for AI-driven features

•Integrated third-party AI/ML APIs into existing web applications

•Implemented data-driven optimization strategies

•Built and optimized NLP pipelines using LangChain and model pruning techniques for high-speed summarization and information extraction

•Led NLP and computer vision initiatives

Key Achievements

→Architected and deployed real-time inference workflows using AWS Lambda and Docker, reducing latency for high-speed detection tasks.

→Improved system performance by 30% and reduced processing time by 25% through serverless optimization.

→Achieved 90%+ accuracy across key use cases and enhanced user engagement by 20%.

→Reduced development time by 40% and improved feature delivery speed.

→Increased model efficiency by 25% and reduced error rates by 15%.

→Improved response relevance by 35%.

→Improved team productivity by 20% through collaboration and mentorship.

→Improved system performance by 30% and reduced processing time by 25%

→Achieved 90%+ accuracy across key use cases and enhanced user engagement by 20%

→Reduced development time by 40% and improved feature delivery speed

→Increased model efficiency by 25% and reduced error rates by 15%

→Improved response relevance by 35%

→Improved team productivity by 20% through collaboration and mentorship

PythonTensorFlowPyTorchNLPLLMsComputer VisionAWS LambdaDockerServerless ArchitecturesDatabricksLangChainModel Pruning

Project Portfolio

PERSONAL

Present

AI-Powered PPE Detection & Reporting System

Architect

Architected a scalable AI pipeline combining YOLO-based computer vision and LLM-based reporting for intelligent safety monitoring, specifically optimized for detecting safety shoes on fast-moving personnel. Engineered real-time inference workflows with optimized frame processing and detection pipelines. Developed automated incident reporting using LLMs, reducing manual reporting effort significantly. Designed modular micro-pipeline enabling seamless integration with edge hardware and cloud systems.

Computer VisionLLMYOLOPythonAWS LambdaDockerRaspberry Pi

Code

PERSONAL

Present

Autonomous AI Reconnaissance System

Architect

Architected an LLM-powered autonomous agent system for OSINT-driven reconnaissance and intelligence gathering. Engineered dynamic tool orchestration using LangGraph, enabling context-aware decision loops. Built scalable multi-tool integration pipeline for real-time data enrichment and structured insight generation. Designed extensible framework supporting cybersecurity research and automated intelligence workflows.

LLMsLangGraphOSINTCybersecurityEthical Hacking Tools

Code

PERSONAL

Present

Real-Time Missing Person Detection with RAG-Based Alerting

Developer

Built end-to-end pipeline: Video Stream → Face Detection → Embedding Generation → Vector Search → Identity Matching. Leveraged InsightFace (buffalo l) for high-accuracy facial embeddings; implemented RAG pipeline for large-scale record matching. Designed automated alert system with multi-channel notifications (SMS & Email) for real-time incident reporting. Achieved ~90% recognition accuracy with minimized false accept/reject rates and near real-time detection-to-alert latency.

Face RecognitionVector SearchInsightFaceRAGSMSEmailDatabricks

Code

Education

Apr 2026

B.S. in Computer Science

University of MianwaliSpecialization in Computer Science

GPA: 3.38

Impact & Recognition

Professional Certifications

Google & HEC Pakistan

AI and Cybersecurity (Hacking by Gen AI)

FAQs

Frequently Asked Questions

Skills & Interests

Deep Learning

TECHNICAL

Python (3.x)

TECHNICAL

LLMs

TECHNICAL

Generative AI

TECHNICAL

PyTorch

TECHNICAL

NLP

TECHNICAL

Computer Vision

TECHNICAL

TensorFlow

TECHNICAL

Ethical Hacking

TECHNICAL

OOP

TECHNICAL

Data Structures & Algorithms

TECHNICAL

Transformer Models

TECHNICAL

Model Evaluation

TECHNICAL

NumPy

TECHNICAL

Pandas

TECHNICAL

Scikit-learn

TECHNICAL

Keras

TECHNICAL

Hugging Face Transformers

TECHNICAL

REST API Development

TECHNICAL

AWS

TOOL

SQL

TECHNICAL

Relational Databases

TECHNICAL

Git

TOOL

Linux

TOOL

GCP

TOOL

Databricks

TOOL

Docker

TOOL

Serverless Architectures

TECHNICAL

Data Visualization

TECHNICAL

System Monitoring & Alerting

TECHNICAL

SQLAlchemy (ORM)

TECHNICAL

Distributed & Eventually Consistent Systems

TECHNICAL

Microservices

TECHNICAL

Design Patterns

TECHNICAL

Message Brokers

TECHNICAL

Event-Driven Systems

TECHNICAL

Flask

TECHNICAL

Django

TECHNICAL

Dependency Injection

TECHNICAL

SOLID

TECHNICAL

Azure

TOOL

Let's Connect

I'd love to hear from you. Feel free to reach out.

These unlock once you finish onboarding and publish your profile.

Talk to AI Sanwal

Online

I am an AI representation of Sanwal. Ask me anything about their experience, skills, or working style.

Overview

Experience

Junior Machine Learning Engineer

Key Achievements

Project Portfolio

AI-Powered PPE Detection & Reporting System

Autonomous AI Reconnaissance System

Real-Time Missing Person Detection with RAG-Based Alerting

Education

B.S. in Computer Science

Impact & Recognition

Professional Certifications

AI and Cybersecurity (Hacking by Gen AI)

FAQs

Do you have your own laptop and reliable transport for commuting to partner school sites?

Are you familiar with Arduino? Briefly describe a hardware-based robotics project you have built using Arduino or a similar platform.

You’re in the middle of a robotics session and a student's hardware isn't working, while three others are asking for help at once. How do you handle the room?

Skills & Interests

Deep Learning

Python (3.x)

LLMs

Generative AI

PyTorch

NLP

Computer Vision

TensorFlow

Ethical Hacking

OOP

Data Structures & Algorithms

Transformer Models

Model Evaluation

NumPy

Pandas

Scikit-learn

Keras

Hugging Face Transformers

REST API Development

AWS

SQL

Relational Databases

Git

Linux

GCP

Databricks

Docker

Serverless Architectures

Data Visualization

System Monitoring & Alerting

SQLAlchemy (ORM)

Distributed & Eventually Consistent Systems

Microservices

Design Patterns

Message Brokers

Event-Driven Systems

Flask

Django

Dependency Injection

SOLID

Azure

Let's Connect

Talk to AI Sanwal