Machine Learning Generative AI Architect Solutions Expert

MUNTASER SYED

https://linkedin.com/in/muntasersyed • https://github.com/jemsbhai

SUMMARY

●Award-winning AI, ML, and software systems expert with over a decade of experience.

●History of building scalable, intelligent, and secure technology platforms.

●Recognized globally as a Major League Hacking (MLH) Top 50 Hacker and recipient of 300+ innovation awards from institutions including MIT, Google, AWS and NASA

●Deep expertise in LLMs, multimodal sensor fusion, edge computing, embedded AI, and autonomous systems.

●Skilled in designing end-to-end AI systems for speech, vision, and text applications. Specialized in Retrieval-Augmented Generation (RAG), attention-based architectures, federated learning, privacy-preserving AI, and high-performance model deployment on resource-constrained devices.

●Former GPU Advocate at NVIDIA, AI Lead at CloutKitchen, and Project Manager for UAE's FalconEye national surveillance system.

TECHNICAL SKILLS

Languages: Python, C, C++, Java, JavaScript, R, MATLAB, Perl, PHP, SQL, HTML,

CSS, Bash, Assembly, Prolog, ASP.net, C#, J2EE, J2ME

ML & AI: PyTorch, TensorFlow, Keras, Scikit-learn, OpenCV, Whisper,

LangChain, Transformers, RAG, HuggingFace, NLTK, spaCy,

DeepSpeech, XGBoost, FastAI, LlamaIndex, RAPIDS, cuML

Model Architectures:Vision Transformers (ViT, DeiT, MobileViT), CNNs, LSTMs, RNNs,

GANs, Dynamic Attention Models, Mixture-of-Experts (MoE)

Optimization: Quantization, Pruning, Knowledge Distillation, Dynamic Head

Selection, ONNX, TensorRT, 8-bit inference

NLP & Speech: Whisper, Tacotron2, BERT, GPT, T5, wav2vec 2.0, RNN-T, phoneme

encoding, cepstral features, delta MFCCs, multilingual ASR

Data & Databases: Supabase, Azure Cosmos DB, AWS RDS, PostgreSQL, MySQL, MSSQL,

MongoDB, Redis, Apache Ignite, Neo4j, DBT

Data Engineering: Apache Spark, Airflow, ELK Stack, Pandas, NumPy, Alteryx

Visualization: Tableau, Power BI, Looker, Matplotlib, Seaborn, D3.js, Adobe

Analytics, Google Data Studio

DevOps & Infra: Docker, Kubernetes, GitHub Actions, CI/CD, Terraform, Jenkins,

Ansible

Cloud: AWS, Azure, GCP, IBM Cloud, Databricks, Snowflake

Web & Backend: Flask, Node.js, Express, React, Angular, Bootstrap, GraphQL

Embedded/Edge/IoT: Jetson Nano/Orin, Arduino, Raspberry Pi, ESP32, Embedded C,

Watson IoT, NFC, BLE, LoRa, RabbitMQ, MQTT, ZeroMQ

Security: Firewalls, IDS/IPS, HP OpenView, Wireshark, Fortinet, Access

Control Systems, CCTV

Other Tools: OpenAI API, FastAPI, Twilio, JIRA, Confluence, Google Maps API,

GitHub API, FFMPEG, Audacity, Jenkins, MLFlow

EDUCATION

Ph.D. in Computer Engineering - Florida Institute of Technology, Melbourne, FL

●Research: Machine Learning, Wireless Sensor Networks, Robotics, IoT, GenAI

●Best Graduate Student Award: 2019,2020,2021

M.S. in Computer Engineering - Florida Institute of Technology, Melbourne, FL

●Focus: Speech Synthesis and Recognition, Machine Learning

Postgraduate Diploma in Software Engineering - University of Bradford, Bradford

●Focus: Artificial Intelligence and Data Mining

M.S. in Computer Science - Abu Dhabi University, Abu Dhabi, UAE 2008 – 2010

●Focus: Network Design, Administration, and Security

B.S. in Information Technology - University of Miami, Coral Gables, FL

●Focus: Networking

●Bowman Foster Ashe Scholar

WORK EXPERIENCE

CloutKitchen Oct 2024 – present

AI Lead

●Led the development of AI coaching agents for esports, including Backseat Gaming for League of Legends.

●Built custom LLM pipelines with real-time feedback loops and reinforcement learning.

●Fine tuned custom LLM deployments for gaming use cases and MoE approaches for real-time user feedback

●Developed LLM prompt library to match individual user gameplay skill levels and style

●Developed near real-time human speech synthesis models serving over 15k daily users

●Designed telemetry and analytics pipelines to model user behavior for intelligent coaching decisions.

●Integrated Whisper and GPT-based models for hybrid speech-command analysis and interaction.

Environment: Python, Gen AI, LLMs, Pytorch, Tensorflow, Javascript, Transformers, ASR, STT, AWS, Azure, GCP, RAG, Apache Spark, Supabase, SQL, Deepspeech, RAPIDS, NLP, Kubernetes, Docker, MoE, MongoDB, ONNX, Neo4J, Twilio, MLFlow, Audacity, FFMPEG, Databricks, Snowflake

NVIDIA Oct 2022 – Oct 2024

GPU Advocate & Technical Lead, Open Hackathons

●Led technical engagement for GPU computing bootcamps, AI workshops, and developer events across North and Latin America

●Developed and delivered training in the latest GenAI model workflows for large scale partners including Accenture, Cognizant, Deloitte and BMW

●Mentored NASA, NCAR, NERSC, and university researchers in GPU optimization for AI workloads.

●Delivered HPC training and support for various researchers from Industry and National Agencies using OpenACC and CUDA technologies.

●Developed and delivered hands-on labs for deploying LLMs and RAG systems in low-latency settings using the latest GPU accelerator hardware

●Drove adoption efforts for Nvidia NIMS and NGC model repositories across various domains to developers and researchers working on cutting edge science and technology at various world leading agencies, supercomputing centers and research labs

Environment: Python, C, C++, Gen AI, LLMs, Pytorch, Tensorflow, Javascript, Transformers, ASR, STT, AWS, Azure, GCP, RAG, Apache Spark, SQL, Deepspeech, RAPIDS, NLP, Kubernetes, Docker, MoE, MongoDB, ONNX, Neo4J, MLFlow, Audacity, FFMPEG, GPU, OpenMPI, OpenACC, HPC, CUDA, GraphQL, Omniverse, Parakeet, LLAMA, Devops, MLOPS, XGBoost, FastAI, LlamaIndex, ONNX, TensorRT, 8-bit inference, Fine tuning, Model training, Optimization, LoRA, Keras, Scikit-learn

NVIDIA May 2021 – Sep 2021

GPU Advocate

●Developed and delivered training materials for AI and HPC workshops and bootcamps for clients across the globe.

●Mentored NASA, NCAR, NOAA, NERSC, and National Lab researchers in GPU optimization for AI and HPC workloads using the latest accelerator hardware

●Developed and delivered solutions using RAPIDS, cuDnn and other gpu accelerated bot data technologies for various clients.

Environment: Python, Gen AI, LLMs, Pytorch, Tensorflow, Javascript, Transformers, ASR, STT, AWS, Azure, GCP, RAG, Apache Spark, SQL, Deepspeech, RAPIDS, NLP, Kubernetes, Docker, MoE, MongoDB, ONNX, Neo4J, MLFlow, Audacity, FFMPEG, GPU, OpenMPI, OpenACC, HPC, CUDA, GraphQL, LLAMA, Devops, MLOPS, XGBoost, FastAI, LlamaIndex, ONNX, TensorRT, 8-bit inference, Fine tuning, Model training, Optimization

Aeronyde Corp Mar 2018 – Oct 2020

Autonomous Systems Architect

●Designed real-time AI for autonomous drone operations including emergency response and surveillance.

●Developed multi-modal models for object recognition, localization, and mission planning.

●Architected the AI integration with FAA’s LAANC system for dynamic drone airspace clearance.

●Secured telemetry pipelines and ensured FAA compliance for flight data integrity.

●Deployed large scale UAS command, control and data ingestion pipelines using multiple cloud platforms (Azure, AWS, GCP and IBM Cloud)

●Developed cutting edge AI powered solutions for UAV based infrastructure

Environment: Python, Pytorch, Tensorflow, Javascript, ASR, STT, AWS, Azure, GCP, IBM cloud, Apache Spark, SQL, NLP, Docker, MongoDB, FFMPEG, Devops, Optimization, OpenCV, Flask, Node.js, Express, React, Angular, Bootstrap, GraphQL, Jetson Nano, Arduino, Raspberry Pi, ESP32, Embedded C, Watson IoT, NFC, BLE, LoRa, RabbitMQ, MQTT, ZeroMQ, Tableau, Power BI, Looker, Matplotlib, Adobe Analytics

Florida Institute of Technology Apr 2017 – April 2020

Research Assistant

●Contributed to funded projects in speech recognition, low-power AI, and federated learning for health and security.

●Developed voice interfaces using phoneme encoding, MFCCs, and neural decoding systems.

●Led a large scale research project into cellular signal analysis, optimization and improvement towards large scale 5G adoption

●Researched and mentored various projects and studies into NB-IoT and BLE deployment for ad hoc sensor networks, funded by NOAA as part of weather resilient infrastructure.

●Led embedded AI research on Raspberry Pi and Jetson platforms for edge deployment.

●Designed experimental studies and AI classifiers for projects like smart bird feeders, rodent deterrents, and vocal therapy.

Environment:: Python, Pytorch, Tensorflow, Javascript, ASR, STT, AWS, Azure, GCP, IBM cloud, Apache Spark, SQL, NLP, Docker, MongoDB, FFMPEG, Devops, Optimization, OpenCV, Flask, GraphQL, Jetson Orin/Nano, Arduino, Raspberry Pi, ESP32, Embedded C, NFC, BLE, LoRa, RabbitMQ, MQTT, ZeroMQ, Tableau, Power BI, Vision Transformers (ViT, DeiT, MobileViT), CNNs, LSTMs, RNNs, GANs, Dynamic Attention Models, Whisper, Tacotron2, BERT, GPT, T5, wav2vec, ELK Stack, Pandas, NumPy, cuPy, Alteryx

Securetech - UAE

Senior Project Manager / Software Engineer(AI) Aug 2010 – Nov 2012

●Led UAE’s FalconEye surveillance system phase 1 integrating AI, GIS, and predictive analytics.

●Led a team of highly skilled professionals including CCIE’s, VCP,s, Data center experts and MCSE’s to develop and deploy leading edge technology solutions in the region

●Coordinated multi-agency deployments and national infrastructure development.

●Built emergency response dashboards, virtualized security systems, and VMS integrations.

●Lead Technical Consultant for keystone applications at NCEMA and Injazat data centers.

●Clients included UAE Armed Forces, Ministry of Interior, NCEMA, Abu Dhabi Police, Abu Dhabi Airports and State Security Department

●Vendors for managed projects were major IT firms including Dell, Microsoft, Cisco, Google, Tandberg, DDN, EMC, Citrix, Vmware, Bosch, Barco, PCSC, Samsung, Milestone, Pelco, Symantec and Fortinet

Environment: Python, C, C++, Java, JavaScript, Perl, PHP, SQL, HTML, CSS, Bash, Assembly, ASP.net, C#, J2EE, J2ME, Firewalls, IDS/IPS, HP OpenView, Wireshark, Fortinet, Access Control Systems, CCTV, Cisco Stack, Microsoft AD

Abu Dhabi University Sep 2008 – Aug 2010

Adjunct Lecturer / TA / Lab Manager

●Taught microprocessors, networking, and programming labs in C, C++, Java and Python

●Managed Cisco and electronics labs and ABET-compliant course design.

●Led research groups working on multilingual user interactivity projects

●Led and developed novel approaches to software usability and performance testing with Morae and Loadrunner - research sponsored by Microsoft

●Mentored senior capstone projects and advised competitive robotics teams at the undergrad and graduate levels

●Instructed CCNA, CCSP and CCIE students as a Cisco Certified Instructor.

Environment: Python, C, C++, Java, JavaScript, Perl, PHP, SQL, HTML, CSS, Bash, Assembly, MATLAB, R, ASP.net, C#, J2EE, J2ME, Wireshark, Embedded C.

Kip McGrath Education Center Apr 2013 – Dec 2015

Head Instructor

●Taught college-level computer science, electronics, and programming.

●Supervised STEM instructors and built lab curricula for UK high school and college levels.

●Supervisor for O and A level board test exams for various science, math and technology courses

●Judge and technical reviewer for youth robotics and innovation events.

Goldman Sachs May 2006 – Sep 2006

Technology Analyst

●Built internal tooling and dashboards for system administration using Perl and in-house platforms.

●Developed novel approaches for enterprise system failure prediction and mitigation

●Technical liaison between data center reliability teams and trading floor tech teams.

●Assisted with HP OpenView monitoring and infrastructure coordination.

Environment:: Python, Perl, Java, J2EE, Php, mysql, HTML, CSS, HP Openview, Distributed Data

eMicrograph Solutions Jun 2005 – Dec 2005

Web Developer

●Developed internal wireless validation tools for telecoms using PHP, J2EE, and MySQL.

●Built forums and inventory systems for client network diagnostics and management.

●Built an array of consumer facing web portals with a user base of >20k daily users

●Implemented user-facing interfaces and backend APIs for test data reporting

Environment:: Python, Perl, Java, J2EE, Php, mysql, HTML, CSS, MSSQL, SQL Server

University of Miami Sep 2003 – May 2007

Graduate Assistant / Teaching Assistant

●Tutored undergraduate students in physics, chemistry, mathematics, and engineering.

●Taught introductory programming, electrical engineering and networking courses.

●Taught Programming in C, C++ and Java lab sessions and graded assignments as a TA.

●Organized academic workshops and managed peer tutor coordination as Assistant Manager of the Academic Resource Center.

Environment: C, C++, HTML, CSS, Java, Javascript, Wireshark, SQL, MATLAB

University of Miami Jan 2001 – Aug 2003

User Assistant (IT & Network Ops)

●Managed operations of engineering department computer labs and assisted users with technical issues.

●Received 'Best IT Staff' recognition by the Department of Information Services in 2001.

Environment: Java, Python, Perl, PhP, SQL

Al Manara International Hospital, Abu Dhabi May 2000 – Aug 2000

Assistant Network Administrator

●Maintained and supported a network of over 500 workstations and 5 servers.

●Handled network troubleshooting, server updates, and security patching in a hospital IT environment.

Environment: CISCO stack, HTML, XML, Java, C, C++, Bash

PUBLIC SPEAKING & LEADERSHIP

OpenAI Academy — Workshop Instructor & Speaker (2025 – Present)

●Delivered hands-on training on GPT customization, Retrieval-Augmented Generation (RAG), and multi-agent system architectures.

●Taught advanced sessions on Custom GPTs and pipelines for enterprise applications.

●Mentored developers on secure, production-grade LLM deployments in healthcare, legal tech, and civic AI.

WACV 2024 – WVLL Workshop — Keynote Speaker & Co-organizer

●Presented “Safety and Security Considerations in Large Language Models for Low-Resource Languages.”

●Organized expert panel on multilingual NLP, adversarial robustness, and LLM fairness for underserved populations.

Miami AI Summit — Invited Speaker

●Discussed real-world deployment strategies for Whisper, GPT, and RAG-based agents in live environments.

●Highlighted techniques for pathways toward AGI and secure AI system integration.

IEEE Alaska Cruise Conference — Guest Speaker

●Delivered a technical talk on AI interpretability, adversarial mitigation, and LLM reliability in embedded systems.

●Showcased applications of AI in scientific computing and edge inference.

GPTuesdays Miami — Community Presenter

●Taught workshops on GPT agents for education, civic platforms, and accessible technologies.

NVIDIA Open Hackathons — Technical Mentor & Coach

●-Supported 100+ research teams from NASA, NCAR, NERSC, and academia in GPU-accelerated AI.

●Provided 1:1 mentorship on Transformer tuning, multimodal model deployment, and Jetson optimization.

4th U.S. Congressional Hackathon — Presenter

●Demonstrated civic data dashboards and legislative transparency tools powered by AI.

●Discussed policy implications of LLMs and data-driven decision systems.

PROJECTS & IMPACT

Salus — GPT-Based Virtual Wellness Assistant

●Google Award – MIT Grand Hack 2025

●Privacy-preserving virtual health agent with speech interface, symptom tracking, and GPT summaries.

RescueR — Autonomous Disaster Response Drones

●TADHack Global 2021 Winner (Symbl.ai, Subspace, Telnyx, Jambonz)

●AI-controlled UAV platform for disaster zone mapping and real-time victim detection.

Tip Panda — Transparent Tip Distribution Engine

●First Place Overall – GarudaHacks

●Blockchain + NLP-based equitable tip system for service workers.

Guardian Care — AI Dashboard for Remote Caregiving

●Winner – TADHack Open 2023

●Predictive health monitoring using IoT signals and anomaly detection.

Cassandra — AI-Powered Disaster Forecasting System

●Recognized by NASA

●Deep learning system for hazard prediction using geospatial, weather, and seismic data.

Swamp Sense — IoT-Powered Wetland Monitoring Platform

●Best Use of IoT – Stetson Civic Tech Hackathon

●Real-time flood detection using edge ML and sensor fusion.

ZeroDK — Smart Oral Hygiene Tracker

●Winner – Pitt Challenge Hackathon

●AI-powered dental hygiene tracker with accessibility for neurodivergent children.

FootBit — Gait and Fall-Risk Detection System

●Runner-Up – Yale CBIT Hackathon

●Low-cost, wearable accelerometer and AI dashboard for elder mobility monitoring.

PUBLICATIONS & WRITING

●“Towards Enhanced Comprehension of Human Errors in Cybersecurity Attacks” – Springer

●“Comparative Evaluation of Transfer Learning for Brain Tumor Classification using MRI” – WACV 2024

●“Medical Imaging: Multimodal CNN for Dermis Disorder” – IEEE ICMLA 2022

●“Multi-Dimensional Spectral Process for Cepstral Feature Engineering” – Journal, 2022

●“An Insight into the Intricacies of Lingual Paraphrasing” – Journal, 2022

AWARDS & HONORS

●300+ Innovation & Hackathon Awards – from MIT, NASA, Google, IBM, Stanford, MLH

●Google Award – MIT Grand Hack

●MLH Top 50 Hacker – Inaugural Class

●Runner-Up – Yale CBIT Healthcare Hackathon

●Winner – TADHack Open & Global (multiple categories)

●Best Use of IoT – Stetson Hack

●Outstanding Student of the Year – Florida Tech (2018, 2019, 2021)

●Bowman Foster Ashe Scholar – University of Miami

●NASA Central FL Space Apps – People’s Choice Award

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