San Francisco Bay Area
Food and beverage plants do not lose performance because people do not care. They lose it because variation creeps in. Changeovers drift. Equipment runs “almost right.” Data sits in logs. Then OEE drops, scrap rises, schedules slip, and quality risk grows.When variation is not controlled, the costs stack up fast:- More downtime and firefighting- Lower yield and unstable throughput- Higher rework, waste, and utility spend- GMP and HACCP exposure during audits- Customer complaints and brand damage when issues escapeI’m early-career, but I’m serious about building a strong process engineering foundation in food and beverage manufacturing. I like work where the goal is clear: stabilize the process, protect product quality, and help operators win the shift.Here’s what I bring to that job:1) Data-driven process analysisI use mass and energy balance thinking, structured problem-solving, and clear documentation to find where losses happen and what to change first.2) Process documentation and plant readinessI build and interpret process flow diagrams and P&ID-style logic to support safe operation, better troubleshooting, and cleaner handoffs between production, maintenance, and quality.3) Continuous improvement executionI apply Lean root-cause methods (define the problem, verify the cause, test the fix, lock in the standard) to reduce repeat issues and make improvements stick.My project work includes designing full processes, performing mass/energy balances across multiple unit operations, and creating technical deliverables that translate complex systems into clear operating logic. I’m looking to apply that same discipline in a real plant environment where safety, quality, and throughput all matter.If you hire for Process Engineer, Manufacturing Engineer, or Continuous Improvement roles in food and beverage, I’d love to connect. Send me a message and tell me what constraint is hitting you hardest right now: downtime, yield, changeovers, or compliance.
I worked in a team of 4 students on this academic process control lab, simulating an industrial temperature control loop using an Arduino-based heater/sensor system and data-driven modeling for controller analysis. I was responsible for running controlled experiments, collecting transient temperature data, and validating whether an ARIMAX model could predict controller temperature response under different power inputs. - Experimental Runs & Data Capture (Arduino/MATLAB): Executed 24 step-input runs (8 power levels, 12.5%–100% with 3 trials) and exported .mat datasets to build a clean modeling baseline. - System Identification (ARIMAX): Fit ARIMAX models per power step and validated prediction accuracy, improving fit from ~62.5% at 12.5% power to ~91.1% at 100% power. - Model Validation: Compared modeled vs. measured step responses, analyzed residual spikes, and proposed a single long run with 12.5% step increments to improve fit and reduce noise impact.
Project context: Circular-economy refining concept that re-processes used motor oil into base lubricating oils, gasoline-range products, and asphalt using filtration, vapor recovery, hydrotreatment, and distillation. I was responsible for engineering the end-to-end process and economic design of a 500,000 bbl/year used oil re-refinery to maximize product recovery while minimizing emissions, waste, and utility intensity. - Re-refinery Plant Design: Engineered a 500,000 bbl/yr used motor oil re-refinery concept to recover base lube oils, gasoline-range product, and asphalt with focus on safety and sustainability. - Unit Ops Integration: Integrated coarse filtration, vapor recovery, hydrotreatment, and distillation into a complete process train, aligning separation logic with product specs and operability needs. - Mass/Energy + Utilities: Built mass and energy balances plus utility specs (electric heat, hydrogen feed, cooling water) to validate conditions and guide equipment sizing and operating targets. - PFD/P&ID + Controls Development: Created PFDs and a P&ID with control strategy for pressure, temperature, level, and flow to support stable operations and reduce process and safety risk. - Tech + Economic Deliverables: Delivered 5 memos and a final design report including $38.58M CAPEX and $41.98M OPEX estimates, recommending optimization and diversification to improve NPV.
Worked in a team of 4 students on this academic process engineering project modeling a patent-based ammonium nitrate prill production process for industrial supply chains (mining/construction applications). I was responsible for translating the patent description (U.S. Patent 2,568,901) into an end-to-end process model and quantifying the mass and energy requirements so we could validate its feasibility and utility. - Process Modeling in Excel: Modeled a patent-based ammonium nitrate prill production process, building a flow diagram and material/energy balances across the heater, reactor, and evaporator. - Mass Balance & Yield: Calculated 88% nitric acid conversion and 11,198 kg/yr ammonium nitrate output via extent-of-reaction and component balances; quantified excess ammonia needs. - Energy Balance & Utilities: Estimated duties (heater 507.6 W; reactor −711.8 W), sizing cooling water at 0.959 kg/h to hold 180°C; presented PFDs to faculty highlighting assumptions.
Decathlon operates high-volume warehouses to receive inventory, fulfill orders, and move product to stores. I was responsible for accurate inventory intake and fast, error-free order fulfillment, solving the core problem of product shipment delays and stock inaccuracies in a high-volume warehouse environment. - Maintaining Inventory Accuracy: Entered inbound SKUs into internal systems to keep counts accurate, reduce stock errors, and support reliable picking, replenishment, and fulfillment flow. - Supporting Order Fulfillment: Successfully boxed, labeled, and palletized outbound orders to meet Decathlon standards, reducing rework risk and keeping daily shipping targets on track. - Safe Material Handling: Operated platform lift and coordinated with 2 teammates to move goods safely and efficiently, preventing incidents and improving daily throughput.
Cazadero Music Camp is a youth music and camp program focused on structured activities, student safety, and skill-building in groups. I was responsible for leading and supervising 20–30 middle school students daily, addressing the core challenge of keeping programs safe, on schedule, and productive despite conflicts and shifting priorities. - Team Leadership: Successfully led groups of 20–30 students through scheduled activities, keeping sessions on track and ensuring program objectives were met consistently. - Operations and Safety Management: Coordinated daily logistics, enforced safety routines, and maintained a structured environment to reduce disruptions and prevent incidents. - Conflict Resolution: Managed student conflicts in real time using clear communication and de-escalation, restoring focus and enabling smooth group execution.