ML Engineer experienced in full-stack AI; including vision, edge, & robotics domain knowledge. Proven track record of creating impactful tools. Seeking opportunities to build impactful ML&AI in unique engineering environments.
Experience
ML & AI Engineer
Rowan University, CS Vehicles Grant
[contract]
Glassboro, NJ
February 2022 - Current
Led research cycles with 10 member team to rapidly prototype and deploy AI solutions, mentoring on optimization of artificial intelligence and machine learning models.
Architected production MLOps platform with zero-deploy framework supporting efficient allocation and monitoring of AI workloads on resource-constrained vehicular and edge platforms.
Achieved 7% inference speed improvement through performance profiling and optimization on embedded hardware, reducing energy consumption for sustainable edge deployments.
Technical Lead for team at NSF regional I-Corps, deploying ML models for boutique crop life-cycle applications.
Design and integrate bi-manual SO-100 arms into custom robot frame for hierarchical Vision Language Models.
Containerized ROS2 in Docker to maintain consistent dependencies across edge-devices in robotic vehicles.
Senior Staff Engineer
Rowan University, College of Engineering
Glassboro, NJ
November 2021 - Current
Architect multidisciplinary engineering solutions integrating full-stack development, embedded systems, and DevOps practices for Engineering ERP services using Django, Docker, and Dragonfly, serving entire 2,000+ Engineering college.
Lead development team in applying DevOps practices by integrating CI/CD checks for quality assurance in code submissions and revising system documentation across distributed micro services.
Create CI/CD tooling pipelines for front-end and back-end testing using Gitlab CI and GitHub Actions, increasing pre-production bug detection by 38% and reducing post-deployment issues by 21% annually.
Collaborate closely with teams from other disciplines to develop a flexible solutions for all stakeholders.
Create compliant access management with CAS SSO and student ID cards to validate student training records when accessing industrial equipment.
Feature rollout of 5,000-SKU inventory system with vendor API integration, accelerating throughput by 66% and automating all inventory requests measured over 24 months.
Develop automated part request management with integrated inventory tracking, tripling lab task throughput on over 2,500 high-touch tasks annually.
Staff Engineer
Rowan University, College of Engineering
Glassboro, NJ
February 2018 - February 2022
Deployed recurring calibration schedule for $500k+ of instrumentation, providing advanced lab capabilities.
Rapid development of custom embedded devices to support individualized research needs.
Managed 12 student employees to support simultaneous course operations across the College of Engineering.
Optimize engineering equipment utilization across 40 sections of engineering education with only two engineers.
Delivered annual training sessions to 120+ students on safe operating procedure for industrial equipment.
Automation Engineer
Ernie Green Industries
Rochester, NY
December 2015 - August 2017
Developed real-time image based defect identification that seamlessly integrated with existing processes.
Engineer robotic end-effectors to decrease injection molding cycle times by an average of 17%.
Delivered critical onsite operational integration for PLC mold interlock logic installations at international locations.
Implemented inspection systems, achieving $171k annual cost savings with defect reduction; ROI under <4 months.
Other Works
Course Scheduling RAG Agent
[Internal Mockup]
April 2025
Rapid prototype demonstrating AI-first development of production-ready agentic RAG system.
Allowed for conversational control over student services, without direct user entry to underlying service.
Built custom prompt engineering pipeline with hybrid vector database to support course discovery.
Agentic workflow with secure API tools, multi-stage reasoning, validation & constraint satisfaction.
Full observability with tracing for production debugging, error analysis, and fine-tuning pipeline.
Input/output validation and monitoring to protect from malicious usage, hallucination, and identify user distress.
Schedule validation tool calls enabled minimal context windows, reducing API costs while maintaining accuracy.
Food Bank Management System
[Hunger Free Campus Grant]
March 2024 - May 2024
Developed a robust offline network for pantry operations, utilizing Django & SQLite, serving 6000 students.
Integrated compatibility with UPC-A, UPC-E, and QR internal barcodes for digital asset tracking.
Introduced intuitive user interfaces to help new staff navigate inventory verification of 1000+ SKUs seamlessly.
Configured embedded Linux builds with Pi-Gen, ensuring system compliance and efficient resource usage.
Reinforcement Learning of Street Fighter Training Partners
[MS - Machine Learning II]
January 2023 - May 2023
Evaluate capability of Reinforcement Learning trained AI opponents gated by human physiological limitations.
Agent constrained to naive basic inputs, to organically discovering advanced techniques through exploration.
Reward function considered indirect advantages to strengthen agent’s approach. Severely penalty on loss.
Asynchronous Advantage Actor-Critic used to optimize resource allocation during training.
Zero Shot DNN Behavioral Evaluation
[MS - Machine Learning I]
September 2022 - December 2022
Constructed and analyzed Zero Shot CNN classifier on the Caltech-UCSD Birds-200-2011 dataset in PyTorch.
Initially trained on attribute segmentation data, enabling feature-specific classification of known species.
Fine-tuned additional layers to identify species held outside training set.