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Strong mix of AI/ML + Electrical Engineering + Automation + Programming.
Proven experience in real-world utility applications
Computer vision, scripting, data wrangling — directly applicable to many industries.
Programming
> More than 8 years of programming experience
> Proficient in python and C++
> Interest in building a high performance code
> Advanced software development in C++
> Software Development Life Cycle (SDLC)
> Scripting Language (Batch and Powershell)
> Manipulating and analyzing complex, high-dimensional data from varying sources
Languages: Python, C#. Java, Kotlin
Machine Learning
> Building end-to-end machine learning application pipeline
> Analyzing Engineering Problems and Providing Effective Solutions
Engineering
> Problem Solving
> Reviewing Engineering Drawings
Computer Science
> Familiar with networking protocols such as TCP/IP and UDP
Communication
> Excellent Verbal and Written Communication
MLGW (August 2024 - July 2025)
Updated the Load Book and Ampacity Book for 2025
Hands-on experience with regression-based forecasting, data preprocessing, Python automation, and computer vision for real-world electrical systems. Skilled in transforming raw data into structured formats suitable for ML pipelines, and optimizing workflows for predictive analytics.
The State Group
Facilitated cross-functional daily stand-up meetings, aligning multidisciplinary teams on operational targets and field constraints; proactively identified and documented field issues to inform strategic decision-making for the Senior Project Manager.
Authored detailed daily reports and issues logs used by executive leadership to guide resource allocation and risk mitigation.
Developed and implemented a custom V-Plan monument tracking system, improving visibility and accountability for progress milestones across engineering, fabrication, and installation phases.
Reviewed and redlined complex electro-mechanical schematics, identifying design inconsistencies and proposing field-ready modifications to enhance system reliability and maintainability.
Demonstrated robust hands-on and leadership experience in manufacturing operations and engineering, including incident management, lean process improvement, and large-scale infrastructure & facilities planning.
Deep technical exposure to coating, mixing, drying, and slitting processes, including performance optimization of associated machinery and process integration within high-throughput production environments.
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