Syed Burhan Ahmed
AI Engineer specializing in Generative AI & Computer Vision
AI Engineer specializing in Generative AI, NLP, and Computer Vision. Experienced with Python, PyTorch, YOLOv11, LangChain, and real-time ML pipelines, delivering production-grade systems for education, healthcare, and enterprise use cases.
About Me
Passionate about building transformative solutions that create real impact
My Journey
Currently a final-year Artificial Intelligence undergraduate at UMT, working on end-to-end deep learning and full-stack solutions—from custom YOLOv11 deployments for real-time detection to retrieval-augmented (RAG) lecture agents and memory-driven conversational bots.
Across projects, the emphasis is on production-quality code, clear ML explainability, and measurable value for users and stakeholders. Leadership experience includes guiding student teams, conducting workshops, and mentoring on advanced computer vision, NLP, and workflow automation.
Outside of deployment work, time goes into open-source contributions, sharing experiments on platforms like Hugging Face, Kaggle, and GitHub, and documenting the AI journey to help the next generation build and ship better systems.
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
Generative AI (RAG)Vision-Language Models (VLMs)YOLO (v8/v11)
PyTorch
TensorFlow
Keras
Scikit-learn
LangChainOpenAI WhisperFAISS
Hugging Face Transformers
Google SDKWeb & Backend Development
Flask
React.jsGradioStreamlit
ASP.NETGoogle Cloud Platform (GCP)Tools, Platforms & IoT
ESP32-S3/Robotics
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
Research Assistant – Computer Vision & Robotics
AVR Research Group Makerspace Lab, UMT
Conducting applied research in computer vision, robotics, and multimodal perception within a makerspace-driven environment, with a focus on deployable, low-latency systems for real-world use cases.
Key Achievements
- Conducting R&D on InsightVision, a hybrid YOLO/VLM pipeline targeting under 100 ms end-to-end latency for semantic natural-language querying on live video streams.
- Benchmarking VLM-based adaptation against YOLO baselines to validate few-shot and zero-shot learning, aiming to reduce data annotation effort by approximately 40% for novel object classes.
- Synthesizing experimental results and documenting system integration for a planned 2026 peer-reviewed research publication.
- Designing and building a line-following and wall/curve-following robotic car, integrating embedded control with real-time perception for robust path tracking.
Technologies Used
Technical Support & Data Operations Associate
Punjab Skills Development Authority (PSDA)
Supporting provincial-scale skills and training initiatives through database operations, automation, and technical coordination for vocational education programs.
Key Achievements
- Streamlining data cleaning, transformation, and integrity checks for end-to-end database operations across PSDA datasets.
- 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, improving response time and traceability.
Technologies Used
Teaching Assistant – Digital Logic Design
University of Management and Technology
Assisting the course instructor in delivering Digital Logic Design by managing course operations, assessments, and student support across multiple semesters.
Key Achievements
- Coordinated and monitored assignment, quiz, and project submissions via the LMS, ensuring smooth assessment workflows.
- Maintained grade records and tracked student progress in Excel to support data-driven academic decisions.
- Ensured timely availability of lecture slides and course content, and resumed responsibilities from Oct 2025 onwards to support a new cohort.
Technologies Used
Software Development Intern
BeWhoop
Selected as a Software Development Intern (~20–25 hours/week) focusing on .NET technologies and contributing to core software projects in a fully remote environment.
Key Achievements
- Gained hands-on experience with .NET development, building and integrating new software modules within existing systems.
- Demonstrated strong problem-solving skills and contributed creative solutions while collaborating virtually with the engineering team.
- Ensured timely completion of assigned tasks, consistently meeting project quality standards and deadlines.
- Maintained professional communication across distributed teams and time zones, supporting smooth remote collaboration.
- Actively participated in remote team discussions, sharing insights to enhance productivity and code quality.
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 a practical curriculum and interactive sessions for 120+ participants, covering modern LLM and generative AI workflows.
- Mentored cohorts on developing innovative project submissions that applied generative AI to real-world use cases.
Technologies Used
Freelance Software Engineer
Lahore Arts Council
Led development of a reservation web system for event space management, including admin dashboards, user portals, and automated email-based workflows.
Key Achievements
- Deployed a .NET/SQL Server-based web reservation system with integrated Excel reporting to support operational decision-making.
- Achieved a largely automated reservation workflow serving 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
Efficient Vision Based Fall Detection for Elderly Surveillance Using YOLOv11
Real-time fall detection system leveraging YOLOv11 and computer vision for elderly surveillance in video-based safety monitoring.
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.
Professional Certifications
Continuous learning and professional development in cutting-edge technologies
Google Cloud Fundamentals: Core Infrastructure
Coursera
Covers core Google Cloud concepts and services, including organizing infrastructure, creating basic cloud resources, and selecting appropriate storage options.
Committed to staying current with the latest technologies and best practices
Awards & Achievements
Honoring accomplishments in AI research, academic excellence, and impactful technical leadership.
Rector’s Merit Award – Spring 2025
University of Management and Technology (UMT)
Conferred by the Rector for achieving a perfect 4.00/4.00 SGPA in Spring 2025, in recognition of exceptional academic excellence under UMT’s official merit award policy.
Dean’s Merit Award – Spring 2023
School of Systems & Technology, UMT
Awarded by the Dean for earning a high semester SGPA and ranking among the top-performing students in the Artificial Intelligence program.
Gold Medalist – Matriculation
Lahore Garrison Education System
Secured the Gold Medal at the Matriculation level for outstanding academic performance.
Get In Touch
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