MECHANICAL ENGINEERING × ARTIFICIAL INTELLIGENCE

Engineering depth.
AI-driven quality.

Mechanical Engineer with 6+ years of experience across industrial engineering, refinery operations, technical documentation, QA/QC, manufacturing-domain AI evaluation, accessibility-focused content and prompt engineering.

Explore case studies ↓Download ResumeLinkedIn ↗
6+Years experience
8.16B.Tech CGPA
AI + Eng.Cross-domain expertise
BPCLRefinery experience
Professional portrait of Sayooj K P
Sayooj K PMechanical Engineer · AI/LLM Evaluation · Technical QA
01 / Profile

A profile built across engineering, quality and AI.

I combine mechanical engineering knowledge and industrial experience with technical content, quality assurance, documentation and AI/LLM evaluation.

My strength is the bridge between technical understanding and structured quality assessment — whether reviewing engineering content, validating AI outputs, documenting technical information or working around industrial maintenance workflows.

“Translate complex technical information into accurate, useful and recruiter-friendly outcomes.”

Snapshot
B.TechMechanical Engineering
First Classwith Honours
RankUniversity Rank Holder
AIMercor project work
QATechnical review
IndustryBPCL refinery
02 / Skill System

Skills grouped for fast recruiter scanning.

⚙️ Mechanical Engineering

Mechanical EngineeringPlant MaintenanceManufacturingThermodynamicsFluid MechanicsHeat TransferReliabilityTroubleshooting

🤖 AI / LLM

AI/LLM EvaluationPrompt EngineeringAI Quality AssuranceTechnical ValidationReasoning AssessmentManufacturing AI

✓ Quality & Documentation

QA/QCTechnical DocumentationSOPContent ReviewRCAALT Text

🏭 Industrial / Enterprise

BPCL RefinerySAP MMMaterial ManagementProcurement ExposureProject CoordinationMS Excel

💻 Technical Tools

MATLABAutoCADSolidWorksPython BasicsC / C++MS Office

🧩 Professional Strengths

Analytical ThinkingTechnical CommunicationAttention to DetailCross-functional CollaborationAdaptabilityTime Management
03 / Experience

Experience that connects disciplines.

MERCOR · PROJECT-BASED / CONTRACT · 2026

AI Generalist Expert

AI / LLM Evaluation
  • Evaluate AI-generated outputs for factual accuracy, reasoning quality, instruction adherence, contextual understanding, consistency and communication.
  • Design and test prompts for mechanical engineering and technical scenarios and provide structured feedback on output quality.
MERCOR · PROJECT-BASED / CONTRACT · 2026

Manufacturing Domain Expert

Mechanical Engineering & Manufacturing AI
  • Evaluate AI-generated mechanical and manufacturing responses against engineering principles and real-world industrial practices.
  • Assess industrial feasibility, process reliability and technical accuracy across maintenance, production, reliability, quality, thermodynamics and fluid mechanics topics.
INNOVALANCE LEARNING SYSTEMS · SEPT 2022 – SEPT 2025

Senior SME – Mechanical / QA-QC Reviewer / ALT Text

Technical Content & Documentation
  • Performed technical quality checks, error analysis and approval workflows for mechanical engineering content.
  • Reviewed technical documentation and educational engineering content for accuracy, consistency and quality standards.
  • Produced accessibility-compliant ALT text for engineering diagrams and technical illustrations.
BPCL KOCHI REFINERY · JAN 2020 – OCT 2021

Graduate Engineer Trainee

Refinery Maintenance & Operations
  • Supported shutdown/startup activities and preventive/corrective maintenance for refinery equipment and plant operations.
  • Worked with SAP MM material requisition/resource tracking and supported shutdown planning, contractor coordination, safety and documentation.
GREEN HUB ENGINEERING CONTRACTORS · DEC 2017 – NOV 2019

Mechanical Engineer

Site Engineering & Contractor Coordination
  • Supervised on-site mechanical work and contractor activities while monitoring specifications, progress and safety compliance.
04 / Featured Case Studies

Work shown as systems, not just bullet points.

These presentations use documented professional and academic work. Confidential client information is intentionally excluded.

CASE 01 · PREDICTIVE MAINTENANCE AI

AI-Powered Predictive Maintenance & Failure Risk Analysis

Engineering-focused machine-learning project using the UCI AI4I 2020 Predictive Maintenance Dataset to analyze machine-failure patterns, engineer physical features and build a failure-risk prediction workflow.

EDA→ Feature Engineering→ ML Modeling→ Risk Scoring
10,000Machine observations
3.39%Observed failure rate
0.963Random Forest ROC-AUC
0.856Random Forest PR-AUC
0.909Failure precision
0.735Failure recall
PREDICTIVE MAINTENANCE WORKFLOWENGINEERING × ML
Machine Data→ Engineering Features→ Random Forest→ Risk Segments
GitHub ↗ Kaggle Notebook ↗
Focus: predictive maintenance · mechanical feature engineering · imbalanced classification · model evaluation · maintenance risk scoring
CASE 02 · ENGINEERING DOCUMENT QA

Engineering Document Quality Assurance

ChatGPT-assisted review of a fictional centrifugal-pump maintenance procedure to identify documentation gaps, ambiguous instructions, missing acceptance criteria, safety-related omissions and items requiring verification.

Procedure→ Structured Review→ Findings Register→ Run Comparison
9Run 1 findings
13Run 2 findings
2Review iterations
GitHub Repository ↗
Focus: engineering documentation QA · traceable findings · prompt refinement · verification planning · human oversight. ChatGPT-assisted case study; not an independently deployed autonomous agent.
CASE 03 · AI / LLM RESPONSE EVALUATION

AI / LLM Response Evaluation

Structured evaluation of AI-generated responses for factual accuracy, reasoning, instruction adherence, context, consistency and communication quality.

Requirement→AI Output→Technical Review→Validation→Feedback
EVALUATION LOOPAI × ENGINEERING
AccuracyReasoningInstructionContextCommunication
Focus: LLM evaluation · prompt testing · structured feedback · technical quality
CASE 04 · MANUFACTURING AI

Engineering Output Validation

Mechanical and manufacturing knowledge is used to assess whether an AI-generated technical response is logically sound and practically feasible.

AI Claim→Engineering Principle→Industrial Context→Feasibility
DOMAIN VALIDATIONMECHANICAL
ThermalFluidMaintenanceQualityReliability
Focus: manufacturing domain expertise · technical accuracy · process reliability
CASE 05 · THERMAL ENGINEERING

Concentric Tube Heat Exchanger

Academic project covering design and fabrication of a concentric tube double-pipe heat exchanger and performance investigation using water and Al₂O₃-based nanofluids.

FLOW CONFIGURATIONCOUNTER / PARALLEL
Hot fluid →← Cold fluid
Design→Fabricate→Test→Compare
Documented scope: water vs Al₂O₃ nanofluids · flow orientation · flow rate · effectiveness study
CASE 06 · ALTERNATIVE FUEL

Ethyl-Esterified Rice Bran Petrol Blend

Experimental project involving rice-bran biodiesel production and blending with ethanol, petrol and camphor, followed by fuel-property measurements.

01 · FEEDSTOCKRice bran oil
02 · REACTIONAlcohol + KOH → transesterification
03 · SEPARATIONGlycerol layer separation
04 · BLENDINGBiodiesel + ethanol + petrol + camphor
7.36pH · 85% petrol sample
704.6kg/m³ density
0.60cp viscosity
Tests documented: viscosity · pH · density · production economics
CASE 07 · INDUSTRIAL ENGINEERING

BPCL Refinery Maintenance Workflow

Industrial experience spanning refinery maintenance, shutdown/startup activities, equipment operations, material-management workflows and multidisciplinary coordination.

Maintenance Need→Planning→Materials / SAP MM→Execution→Safety + Documentation
INDUSTRIAL CONTEXTBPCL KOCHI REFINERY
Gas TurbinesBoilersCooling TowersNitrogen Plant
Focus: maintenance support · shutdown planning · material tracking · contractor coordination
CASE 08 · TECHNICAL QA

Engineering Content & Accessibility QA

Systematic review of technical content for accuracy and consistency, combined with accessibility-focused ALT text for engineering diagrams and technical illustrations.

Source Visual→Analyze→Extract Meaning→Write→QA
Focus: technical review · error analysis · documentation · accessibility-focused content
05 / Working Method

A repeatable quality loop.

01Understand
02Analyze
03Validate
04Review
05Improve
06Deliver
06 / Recruiter Matrix

Where the experience maps.

DomainCapabilitiesEvidence
Mechanical / IndustrialMaintenance, manufacturing, thermal/fluid concepts, troubleshooting, reliabilityMechanical engineering + industrial roles
AI / LLMOutput evaluation, reasoning review, instruction adherence, prompt testingMercor project-based work
QualityQA/QC, error identification, structured review, technical validationInnovalance + AI evaluation
Technical ContentTechnical writing, documentation, SOP-oriented review, ALT textProfessional content experience
Materials / ProcurementSAP MM exposure, material requisition, resource tracking, procurement workflowsBPCL / engineering experience
07 / Engineering & AI Projects

Projects presented as evidence.

PREDICTIVE MAINTENANCE · MACHINE LEARNING

AI-Powered Predictive Maintenance & Failure Risk Analysis

Built an engineering-focused ML workflow covering EDA, physical feature engineering, imbalanced classification, Logistic Regression benchmarking, Random Forest modeling and maintenance risk scoring.

Result: Random Forest ROC-AUC 0.963 and PR-AUC 0.856 on the test set.

GitHub ↗ Kaggle ↗
ENGINEERING DOCUMENT QA · CHATGPT-ASSISTED

Engineering Document Quality Assurance

Reviewed a fictional centrifugal-pump maintenance procedure through two structured review runs, comparing findings, priority rationale, confidence and verification planning.

GitHub Repository ↗
AI / LLM RESPONSE EVALUATION

AI / LLM Response Evaluation

Structured evaluation of AI-generated responses for factual accuracy, reasoning quality, instruction adherence, contextual understanding, consistency and communication quality, based on project-based evaluation work.

THERMAL ENGINEERING

Concentric Tube Heat Exchanger

Design and fabrication of a concentric tube heat exchanger with experiments comparing water and Al₂O₃ nanofluids under different flow orientations, concentrations and flow rates.

FUEL / EXPERIMENTATION

Ethyl-Esterified Rice Bran Petrol Blend

Rice-bran biodiesel production and blending with ethanol, petrol and camphor, with viscosity, pH and density measurements across tested blends.

SEMINAR

Hydrogen–Ethanol Blending in SI Engines

Academic seminar on hydrogen–ethanol blending as an alternative-fuel concept for spark-ignition engines.

08 / Education & Certifications

Foundation + continuous learning.

Education

B.Tech Mechanical Engineering

First Class with Honours · CGPA 8.16 · University Rank Holder · 2017

Professional Learning
Rubric Academy FellowshipPrompt Academy FellowshipSAP MMProject Management EssentialsLean Six Sigma White BeltSix Sigma Yellow BeltSeven QC ToolsCyber SecurityIntroduction to Agents — Mercor Academy · Verify ↗
09 / Opportunities

Roles aligned with the hybrid profile.

⚙️ Mechanical & Industrial

  • Mechanical Engineer
  • Maintenance / Reliability
  • Manufacturing Engineer
  • Project / Operations

🤖 AI & Quality

  • AI / LLM Evaluator
  • AI Generalist
  • AI Quality Analyst
  • Manufacturing AI Domain Expert

📝 Content & Operations

  • Technical Writer
  • Technical Content / QA
  • SAP MM / Procurement
  • Project Coordination
10 / Contact

Let's talk about the right opportunity.

Open to suitable opportunities connecting Mechanical Engineering, Manufacturing, AI/LLM evaluation, Technical Content, QA/QC and analytical problem-solving.

Sayooj K P

B.Tech Mechanical Engineering · Palakkad, Kerala

Download ResumeEmail me ↗LinkedIn ↗
Emailsayoojkp506@gmail.comPhone+91 8943620519ResumeOpen / download PDF ↗