Syed Burhan Ahmed
Building scalable, production-grade systems using Python, PyTorch, YOLOv11, FastAPI, and n8n. I bridge the gap between advanced research and deployment, architecting real-time ML pipelines, multimodal microservices, and multi-tenant SaaS automations for enterprise and academic sectors.
About Me
AI Engineer & Researcher at UMT Makerspace Lab — building production-grade CV and GenAI systems that bridge research and deployment.
My Journey
I am an AI Engineer building robust, scalable systems that solve complex, real-world problems. My industry work involves architecting end-to-end automation pipelines and evaluating scalable deployment infrastructures (self-hosted vs. cloud APIs) to transition internal operational tools into commercial SaaS products.
In the research domain at UMT's Makerspace Lab, I focus on high-performance computer vision. My work includes engineering hybrid YOLOv11 and Vision-Language Model (VLM) pipelines—optimizing FastAPI microservices to achieve <100ms latency for real-time semantic natural-language querying.
Across all projects, I emphasize production-quality code, clean architectural design, and measurable value. Beyond deployment, I am deeply invested in technical leadership, having trained over 120 participants in Generative AI and serving as a mentor for core computer science courses to bridge the gap between academic theory and industrial application.
Open to collaborating on challenging, impact-driven engineering problems. Whether it’s deployable computer vision systems, workflow automation infrastructures, or mentoring developers, the focus is on building reliable tech that solves real-world bottlenecks.
How I Work
Clean Code & Practical AI
Writing scalable, production-ready AI systems with an emphasis on maintainability and real-world impact.
Continuous Learning
Staying ahead of research trends, exploring new architectures, and pushing boundaries in CV and GenAI.
Collaboration & Mentorship
Working with teams, mentoring engineers, and building clear documentation to multiply collective expertise.
Performance & Automation
Optimizing inference pipelines, automating workflows, and delivering high-performance AI systems in production.
Technical Expertise
Battle-tested in production ML systems, real-time vision pipelines, and GenAI applications.
Languages
7 skills
Python
C/C++
C#
JavaScript
MIPS Assembly
SQL
HTML/CSSProfessional Journey
From enterprise solutions to tech innovation, building scalable systems and leading AI-driven initiatives across diverse technology stacks
AI Engineer (Trainee)
OptimusFox
Architecting and developing scalable marketing automation infrastructure, with the primary objective of transitioning internal operational tools into a multi-tenant commercial SaaS product.
Key Achievements
- Architecting an end-to-end automation pipeline utilizing n8n to streamline and autonomously manage marketing operations for internal and sister companies.
- Benchmarking and evaluating n8n deployment architectures (Self-hosted vs. Cloud API) to optimize for scalability, system control, and cost-efficiency.
- Developing a custom, streamlined UI layer integrated with the n8n backend to abstract complex data workflows for non-technical marketing teams.
- Designing the automation architecture with multi-tenant capabilities, laying the foundational groundwork for a B2B SaaS product release.
Technologies Used
AI Researcher – 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
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
Data Operations Associate
Punjab Skills Development Authority (PSDA)
Optimizing backend data integrity and system performance for the Single TVET-MIS, ensuring scalability for statewide vocational education programs.
Key Achievements
- Managed data workflows for a system serving 100,000+ concurrent users, ensuring high availability and query optimization.
- Automated data reporting pipelines for 1,100+ institutes, reducing manual data entry overhead and ensuring 99.9% data accuracy.
- Collaborated with engineering teams to maintain backend stability and implement role-based access protocols using SQL Server.
- Executed rigorous data cleaning and transformation scripts to standardize provincial vocational education datasets.
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.
ArUcoNav: Autonomous Vision-Guided Robot
Real-time pose estimation & dynamic path planning
Engineered an autonomous navigation stack using Python and OpenCV for global supervision. Overcame tracking failures by implementing robust vector math for ArUco marker orientation and Euclidean distance routing around obstacles via dynamic Safety Nodes. Integrated via ESP32 with PID steering correction to achieve a flawless 13-second finish.
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 deep-dives into CV, NLP, and Optimization algorithms.
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
Explains PCA for dimensionality reduction, covering its mechanics, importance in ML workflows, and practical implementation.
When to Use Mean, Median, and Mode for Handling Missing Values in Data?
A practical guide to selecting statistical imputation methods (mean, median, mode) for handling missing data effectively.
1D Convolutional Neural Networks (1D-CNN): A Powerful Tool for Sequential Data
Explores 1D CNNs for sequential data, covering working principles, advantages, and a hands-on TensorFlow/Keras implementation.
Understanding Gradient Descent in Machine Learning
Explores the mechanics and variations of gradient descent, the fundamental optimization algorithm driving modern machine learning and deep learning.
Understanding Long Short-Term Memory (LSTM) Networks in Deep Learning
Comprehensive guide to LSTMs for NLP and forecasting, detailing their architecture and advantages over basic RNNs.
Understanding Gated Recurrent Units (GRU) in Deep Learning
Covers GRUs as an efficient LSTM alternative, explaining their architecture, mechanics, and deep learning 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.
Dean’s Merit Award – Spring 2023
School of Systems & Technology, UMT
Conferred 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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