Akash Jain

Conducted mass balance calculations to resolve data inconsistencies in LNG and trucking logbook, analyzed historian data to identify correlation between key parameters and suggested changes which improved plant efficiency by 15% resulting in $0.6M in monthly savings.
Optimized daily LNG trucking schedules using simplex and statistical analysis, reducing processing time from 120 to 90 minutes.
Recommended cost-saving strategies, including leveraging the existing BOG Generator during holding mode to recover gas and reduce electricity costs, achieving potential savings of $40K per month.
Prepared a proposal for the electrical equipment required for turbine-motor generator synchronization with the grid, enabling the export of up to 4MW of electricity produced.
Performed field inspections to identify discrepancies in as-built P&IDs, ensuring documentation accuracy and compliance with operational standards.

Led the design, development, and delivery of an automatic tire rotation system for long term storage of airplane tires with a tight deadline of 6 months and under 80% of the project budget.

Oversaw the development of a swarm of autonomous electric-farming tractors utilizing hybrid agile methodology, reducing development time by 40% while fostering innovation and cross-team collaboration.
Managed the company’s expansion into a 15,000 sq. ft. facility, tripled the team size, established a matrix organizational structure, and created a central database, boosting the company’s productivity by 5 times.
Planned, monitored, and controlled company financials including project budgets, monthly expenses, operational costs, and annual burn rate to optimize investor funding while reducing losses by 30%.
Standardized manufacturing, procurement, and quality control procedures to effectively utilize resources, reduce waste and improve part quality by 50%.

Designed and prototyped a high-speed 3D printer with features such as a triple Z-axis for auto-leveling, expandable print bed to eliminate thermal warping and high-speed dual-duct nozzle cooling for faster prints, reducing part manufacturing time by 50% while improving quality.

Proposed a predictive maintenance system for cooling tower gearboxes utilizing thermal and vibrational sensors to detect faults up to 90 days in advance. Installed and calibrated proposed sensors on test rig under standard loading.

Developed an autonomous wall climbing quadruped robot utilizing foam tip suction cups for scaling concrete walls simplifying structural inspection and maintenance of buildings and industrial infrastructure.