Syed Burhan Ahmed
Generative AI, NLP & Computer Vision Engineer
AI Engineer specializing in Generative AI, NLP, and Computer Vision. Expert in Python, PyTorch, YOLOv11, and LangChain, with a proven track record of building production-ready, real-time AI systems that power impactful solutions across education, healthcare, and enterprise domains.
About Me
Passionate about building transformative solutions that create real impact
My Journey
Currently a final-year undergraduate in Artificial Intelligence (UMT), I've engineered end-to-end deep learning and full-stack solutions—ranging from custom YOLOv11 deployments for real-time detection, to retrieval-augmented (RAG) lecture agents and memory-driven conversational bots.
In every project, my focus is production-quality code, clear ML explainability, and tangible value for users and businesses alike. My leadership includes guiding student teams, conducting workshops, and mentoring on advanced computer vision, NLP, and workflow automation.
When I’m not building or deploying systems, I contribute to open source, share insights on Hugging Face, Kaggle, and GitHub, or document my AI journey to help the next generation innovate.
How I Work
Clean Code & Practical AI
Writing scalable, production-ready AI systems with an emphasis on maintainability and real-world impact.
Continuous Learning & Innovation
Staying ahead of technology trends and actively exploring new research to push the boundaries of what's possible.
Collaboration & Knowledge Sharing
Working with teams, mentoring peers, and building clear documentation to multiply collective expertise.
Automation & Performance
Optimizing workflows, automating repetitive tasks, and ensuring seamless user experiences through high-performance solutions.
Technical Expertise
Technologies I've worked with in real-world projects and professional environments
Programming Languages
Python
C/C++
C#
JavaScript
MIPS Assembly
SQL
HTML/CSSAI/ML Frameworks & Tools
PyTorchYOLO
TensorFlow
Keras
Scikit-learn
LangChain
Hugging Face Transformers
Google SDKWeb & Backend Development
Flask
React.jsGradioStreamlit
ASP.NETTools, Platforms & IoT
ESP32/IoT
Git
GitHubGoogle ColabKaggle
VS CodePyCharm
Visual StudioProfessional & Leadership
AI Team LeadershipTechnical MentorshipTeachingPublic SpeakingProfessional Journey
From enterprise solutions to tech innovation, building scalable systems and leading AI-driven initiatives across diverse technology stacks
Software Development Intern
BeWhoop
Selected as a Software Development Intern(~20–25 hours/week), focusing primarily on .NET technologies. Involved in core software projects requiring rapid adaptation to new tech stacks, timely delivery of high-quality code, and effective team collaboration within a professional learning environment.
Key Achievements
- Acquired hands-on experience with .NET development, building and integrating new software modules in a remote setting
- Demonstrated strong problem-solving skills and contributed creative solutions while collaborating virtually
- Ensured timely completion of remote tasks, consistently meeting project quality standards and deadlines
- Maintained professional conduct and strong communication across distributed teams and time zones
- Actively participated in remote team discussions, supporting peers and sharing insights to enhance productivity
Technologies Used
AI/ML Intern & FYP Researcher
AVR Research Lab, UMT
Contributing to ongoing AI/ML research with a focus on object tracking, real-time detection, and advanced YOLO architectures. Actively working toward robust multi-object tracking solutions for surveillance and industrial contexts, as part of a final-year project. Engaged in early experimentation, integration, and methodology documentation for future publication.
Key Achievements
- Currently researching and developing object tracking algorithms for real-time video streams
- Exploring integration of tracking modules with existing YOLO detection pipelines
- Evaluating tracking methods for accuracy, speed, and robustness in dynamic environments
- Documenting challenges and early findings to support future publications
Technologies Used
Technical Support & Data Operations Associate
Punjab Skills Development Authority (PSDA)
Improved database operations and automated data reporting for vocational education programs. Enhanced event management workflows and technical troubleshooting.
Key Achievements
- Streamlining data cleaning, transformation, and integrity checks for end-to-end database operations
- Maintaining and updating records to ensure accuracy across the PSDA’s parent department (SDED) statewide data systems
- Managing key email correspondence and documentation for team coordination and client requests
Technologies Used
Teaching Assistant – Digital Logic Design
University of Management and Technology
Assisted the course instructor by managing LMS activities, organizing and uploading class materials, and overseeing student assignment and project submissions.
Key Achievements
- Coordinated and monitored assignment, quiz, and project submissions via LMS
- Maintained grade records and managed student progress in Excel
- Ensured timely availability of lecture slides and course content for all students
Technologies Used
Master Trainer – Generative AI
Arfa Karim Technology Incubator (AKTI)
Designed and delivered workshops on Generative AI, large language models, and prompt engineering for early-career tech professionals and students.
Key Achievements
- Developed curriculum and interactive sessions for 120+ participants
- Mentored cohort for innovative project submissions
Technologies Used
Freelance Software Engineer
Lahore Arts Council
Spearheaded development of a reservation web system for event space management including admin dashboards, user portals, and automated e-mail notifications.
Key Achievements
- Deployed .NET/SQL Server based web reservation system with Excel reporting
- Achieved automated workflow for 500+ monthly users
Technologies Used
Featured Projects
AI-driven systems for vision, language, and automation—integrated for real-world education, industry, and innovation.
RULEN
Real-Time Unified Lecture Extraction Network
AI-powered multilingual educational assistant automating lecture transcription (99+ languages), bilingual notes in Roman Urdu/Hindi & English, and curriculum-aligned quiz creation with RAG. Supports dashboards, CLO/PLO mapping, multi-format upload, and integrates with learning outcomes for institution readiness.
Freak AI
Memory-Augmented Conversational Agent
A rule-based agent simulating five human-like memory systems with Neo4j graph storage, real-time dashboards, web chat, and ESP32 hardware for multimodal input and voice. Small step toward AGI and real-time agent reasoning.
CelebVision – Dual-Shot Celebrity Classification
Multi-Pipeline Face/Gender/Celebrity Recognition
CV pipeline using YOLOv11 for face detection, EfficientNetV2-S for celebrity recognition (15+ Pakistani celebrities). 1st place in CV Kaggle competition; real-time inference, visualizes bounding boxes and recognizes gender, class imbalance handled.
Real-Time Fall Detection System using YOLO
Elderly Safety & Surveillance
YOLOv11-based fall detection system for real-time video feeds in safety/public spaces. Fine-tuned on LE2I, high precision/recall, supports logging and alerts, modular for sensor integration.
Lahore Arts Council Reservation System
Event Space Reservation Web App
Designed and developed a full-stack .NET and SQL Server application for event reservations. Features include user registration, an admin dashboard, automated email notifications, and Excel report generation. Built as a proof-of-concept to demonstrate robust reservation workflows in a simulated environment.
Voice-Based Smart Attendance System
IoT-Driven Attendance Platform
Designed and built a prototype automated attendance system using ESP32 with NFC/fingerprint authentication, a speech-to-text pipeline via Flask, and an OLED display. Developed as a semester term project to demonstrate end-to-end integration of IoT hardware, biometric verification, and real-time data processing. Focused on core features, system workflow, and proof-of-concept usability in a classroom scenario.
Interested in collaborating on innovative AI/ML projects?
Publications & Writing
Research contributions and technical insights
Video Based Fall Detection System using YOLO
Research on real-time fall detection using YOLOv11 and computer vision.
Understanding Principal Component Analysis (PCA) in Machine Learning: A Comprehensive Guide
An in-depth explanation of Principal Component Analysis (PCA), its importance for dimensionality reduction, and its value in machine learning workflows. Covers how PCA works, why it matters, and practical implementation tips.
When to Use Mean, Median, and Mode for Handling Missing Values in Data?
A practical guide to choosing the right statistical imputation method for missing data. Explains when to use mean, median, or mode, including their pros, cons, and suitable scenarios in data preprocessing.
1D Convolutional Neural Networks (1D-CNN): A Powerful Tool for Sequential Data
Explores the application of 1D Convolutional Neural Networks in handling sequential data, covering their working principles, advantages over traditional methods, and key use cases. Includes a Python TensorFlow/Keras implementation.
Understanding Gradient Descent in Machine Learning
A comprehensive overview of gradient descent, the fundamental optimization algorithm behind most machine learning and deep learning models. Discusses the mechanics, variations, and significance of gradient descent in achieving accurate predictions.
Understanding Long Short-Term Memory (LSTM) Networks in Deep Learning
An in-depth guide to LSTM networks, their role in handling sequential data for deep learning tasks like NLP and forecasting, and their advantages over basic RNNs. Includes explanations of working mechanisms and core applications.
Understanding Gated Recurrent Units (GRU) in Deep Learning
Covers Gated Recurrent Units (GRUs) as an efficient alternative to LSTMs for sequential data in deep learning. Explains their architecture, how they function, their advantages, and practical applications.
Awards & Achievements
Honoring accomplishments in AI research, academic excellence, and impactful technical leadership.
Dean’s Merit Award – Spring 2023
School of Systems & Technology, UMT
Awarded by Dean for outstanding academic performance and top CGPA in Artificial Intelligence program.
Gold Medalist – Matriculation
Lahore Garrison Education System
Secured the Gold Medal at the Matric level for academic excellence.
Get In Touch
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