Project Management Power Bi

AHMAD KASHASH

+1-226-***-**** *****.***@*****.*** Dearborn, MI, USA

SKILLS

Programming & Software: Python, Java, SQL, HTML/CSS, JavaScript, R, MATLAB, C/C++, Node.js Data Analysis & Database: Power BI, Snowflake, MySQL, OpenCV, NumPy, Pandas, Scikit-learn, Pytorch, Database Design, Data Modeling, Excel/Numbers/Sheets, Tensorflow, High Performance Computing (HPC), ETL Framework, Schema Design, SysML, Visio Program & Project Management: Agile, SCRUM, JIRA, Product Management, Strategic Planning, Roadmap Planning, Risk Management, Root Cause Analysis, Cross-Functional Collaboration, Stakeholder Communication, Data Driven Storytelling, DFMEA, FMEA, DVP&R, Product Support Plan, Product LifeCycle, SDLC, Cost Estimates, A/B Testing, Communications, Presentation Software Development: Git, Docker, Kubernetes, Microsoft Azure, OpenCV, Development Operations (DevOps), Jupyter, Azure, Linux/Unix

Machine Learning and Algorithms: ML Models, Deep Learning, Genetic Algorithms, Experimentation Techniques, LLM, Bayesian Filters, SLAM, Data Structures & Algorithms, Risk Modelling Schema Design, High Dimensional Data Modelling PROFESSIONAL EXPERIENCE

KLA Ann Arbor, MI, USA

Product Engineer III March 2022 - October 2024

• Developed detailed Python ETL pipelines (Snowflake, Power BI) to visualize support gaps, system uptime, and ROI enabling data-driven decisions and stakeholder insight for implementing POAs and Strat plans.

• Led structured problem-solving (8D, DFMEA) for production issues, implementing corrective actions resulting in 95% issue reduction.

• Designed an integrated project management framework merging sequential planning (POAs), detailed test plans, and Gantt charts for timeline and resource planning throughout all development phases to launch, and presented product metrics and current standings to stakeholders to highlight current standings and future needs.

• Created UAT scenarios for data pipeline changes, validated end-to-end analytics workflows, and tracked issues in version-controlled dashboards to ensure stable deployments.

• Managed and coordinated Agile product launches via Support Plan, ensuring controlled deployment, smooth transitions, and high customer satisfaction through timeline shifts and feature implementation.

• Developed data-driven cost estimation using MTBF and historical data, minimizing downtime and optimizing hardware maintenance.

• Established escalation procedures and post-mortem analyses to minimize downtime, driving continuous process improvement and preventative measures.

AI Implementation Engineer March 2022 - October 2024

• Led cross-functional prototyping to validate AI-driven features under resource constraints, implementing CI/CD and SLDC best practices to help scale concepts into full product implementations successfully and iteratively incorporating stakeholder feedback and minimizing downtime

• Developed RAG workflows on hybrid database architecture (Snowflake, MilvusDB), achieving 40% latency reduction and 25% retrieval accuracy gain through advanced search technique implementation.

• Engineered Python pipelines (Camelot, PyMuPDF) for multimodal PDF data segmentation, delivering high-quality data for LLM inference.

• Spearheaded on-prem LLM training (QLoRA, H100 GPUs), aligning HPC scheduling and improving LLaMA accuracy to

~89% and training, testing and deploying model to RAG production pipelines simultaneously.

• Integrated local LLMs for documentation, compared model performance, and established security protocols to safeguard training data.

• Prototyped rapid-cycle AI models, validating model viability with open-source tools to guide resource investment. Ford Motor Company Dearborn, MI, USA

Quality Test Engineer October 2021 - March 2022

• Executed end-to-end Over-The-Air (OTA) software update validation, ensuring feature compatibility and seamless performance across multiple product lines

• Used CANalyzer and CANoe to debug vehicle communication networks, streamlining fault isolation and resolution

• Created test plans and diagnostic protocols, enabling engineers to identify and fix critical faults quickly. Amphenol Adronics Novi, MI, USA

Design Resident Engineer June 2020 - September 2021

• Optimized automotive component designs, saving $100K+ by validating supplier proposals and implementing improved design solutions

• Enhanced PDT collaboration and cut meeting times by 30% by preparing concise analytics and visuals for more effective decision-making

• Developed Python-based OCR tools that automated content validation for ~100 PDFs, saving 20+ hours per product

• Maintained rigorous DVP&R and DFMEA practices, ensuring robust design change management, thorough failure mode analysis, and proactive risk mitigation.

EDUCATION

Georgia Institute of Technology January 2025 - April 2027 Master's, Computer Science

University of Windsor September 2015 - August 2019 Bachelor's, Electrical Engineering

CERTIFICATIONS

Coursera Stanford University - Machine Learning

PROJECTS & OUTSIDE EXPERIENCE

Brain-Computer Interface (BCI) Hardware Implementation July 2024 - Present

• The Developed a DIY EEG-based BCI system with custom ADS1299/TL072-based PCBs (4–40Hz bandpass, 50/60Hz notch filters), real-time Python processing (MNE, BrainFlow), and OpenBCI GUI visualization and analysis. Implemented Fourier/PCA feature extraction, tested multiple BCI paradigms (SSVEP, Motor Imagery, P300), and explored LLM integration for thought-driven AI interactions.

Voice-Controlled Hexapod January 2019 - August 2019

• Developed a voice-controlled hexapod for my capstone project by integrating real-time object detection (TensorFlow, OpenCV) alongside rudimentary implementation of Bayesian filters and SLAM from sensor (Lidar, Camera). Leveraged Raspberry Pi and Arduino for multithreaded PWM motor control via I2C and designed 3Dprinted joints for rapid prototyping, achieving seamless concurrent movement.

Electric Skateboard January 2020 - February 2020

• Engineered a dual-motor electric longboard by wiring ESCs, BLDC motors, and custom Li-Ion/Li-Po battery packs with integrated BMS and loop key safety; developed a CAN-based control system for synchronized acceleration and designed 3D-printed housings to enhance durability and safety Hackathon - Mwendo - MedHacks 2017 Toronto, ON, Canada September 2017 - September 2017

• Won - $10,000 towards choice of donation for best implementation of security features

• Health tracking of hand cleanliness using sensors and black light to detect is hands were properly washed, and the idea was for it to be implemented in hospitals where sanitation is super important. Hackathon - MyoManus - HackWestern London, ON, Canada April 2014 - April 2014

• Won - Best App that Saves People Money and Best Social Impact Hack

• It was an implementation of a robotic arm that imitated the movement of the users arm using Myo armband.

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