Open to Opportunities

Adarsh Lal Anilal

MS in Industrial Engineering from UTA. Driving measurable improvements in manufacturing through Lean Six Sigma, simulation modeling, and data-driven decision-making.

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About Me

Background & Education

Adarsh Lal Anilal

Adarsh Lal Anilal

CSSGB Certified

Arlington, TX

Industrial, Manufacturing, Quality, and Process Engineer with an MS in Industrial Engineering from the University of Texas at Arlington and a Certified Six Sigma Green Belt, bringing hands-on experience across manufacturing systems, production planning, process optimization, and quality engineering in high-volume automotive and industrial environments. Skilled in Lean Manufacturing, Six Sigma DMAIC, time studies, line balancing, capacity analysis, root cause analysis, FMEA, SPC, CAPA, and continuous improvement. Experienced in developing standard work, manufacturing documentation, SOPs, BOMs, and routings, designing tooling and fixtures, and analyzing KPIs including OEE, defect rate, and cycle time. Currently building multi-agent AI systems for manufacturing operations using agentic AI, LLMs, and hallucination mitigation techniques. Proven ability to drive efficiency improvements of up to 34% and defect reductions of 90% through data-driven decision-making and cross-functional collaboration.

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Education

Master of Science in Industrial Engineering
University of Texas at Arlington (UTA)
Arlington, TX | Aug 2024 – May 2026
Key Coursework: Operations Research, Engineering Economy, Statistics & Probability, Linear Regression, Production & Inventory Control, Global Supply Chain Management, Quality Systems, Systems Engineering, Manufacturing Processes, AI in Industrial Applications
Bachelor of Technology in Automobile Engineering
Manipal Institute of Technology (MIT)
Manipal, India | Aug 2019 – June 2023
Key Coursework: Manufacturing Engineering Technology, Automotive Engines, Ergonomics in Automotive Design, Finite Element Methods, Automotive Transmission Systems

Experience

Professional Journey

Projects

Featured Work

Click any project card to see the full breakdown — problem, methodology, and impact.

Publications

Published Research

Teaching Supply Chain Collaboration Concepts Using Networked Participatory Agent-Based Modeling

Shaikh, Md P.; Anilal, A. L.; Kulkarni, P.; Krejci, C.

Journal: IISE Annual Conference Proceedings

Volume: 2026, 1–6

Comparative Evaluation of Machine Learning Regression Techniques for Predicting CO₂ Emissions in Light-Duty Vehicles

Anilal, A. L.; Leboulluec, A. K.

Journal: International Journal of Computer Applications (IJCA)

Volume: Vol. 187, No. 114, June 2026

Skills

Technical Expertise

Methodologies

21 skills

Lean ManufacturingLean Six Sigma (DMAIC)KaizenContinuous ImprovementValue Stream Mapping (VSM)5STime StudiesTime-and-Motion StudiesWork SamplingLine BalancingCapacity AnalysisRoot Cause Analysis (RCA)FMEA/DFMEA/PFMEAStatistical Process Control (SPC)Design for Manufacturing (DFM/DFA)CAPATotal Quality Management (TQM)Process Flow AuditingJITKanbanSOP Optimization

Recognition

Awards & Certifications

Awards

Don Liles Endowed Scholarship

University of Texas at Arlington — March 2025

Founder's Arena Arlington FIFA AI Hackathon — Second Prize

Founder's Arena — June 2026

Certifications

Six Sigma Green Belt (CSSGB)
McKinsey Forward Program

Contact

Let's Connect

I'm actively seeking opportunities in Industrial Engineering, Manufacturing Engineering, and Process Engineering. Let's talk.