Operations Research · Decision Intelligence · Riyadh
I build AI systems that make operations smarter.|
Strategy consultant turned AI builder. I sit at the intersection of operations research, agentic AI, and business strategy — turning complex operational problems into systems that deliver measurable, lasting impact.
5+
Years Experience
$1M+
Impact Delivered
3
Countries Worked
10
Countries Explored
●AI Operations●Strategy Consulting●CP-SAT / OR-Tools●Agentic AI●Workforce Optimization●Market Entry●Decision Intelligence●Python●Tableau●VRPTW●Monte Carlo●PyVRP●Transportation OR●Statistical Validation●AI Operations●Strategy Consulting●CP-SAT / OR-Tools●Agentic AI●Workforce Optimization●Market Entry●Decision Intelligence●Python●Tableau●VRPTW●Monte Carlo●PyVRP●Transportation OR●Statistical Validation
Background
About
I'm a strategy and operations professional with 5+ years of experience across management consulting, industrial procurement, and AI-enabled ops — spanning India and Saudi Arabia.
My edge is rare: I don't just advise on operations — I build the systems that fix them. From AI optimization models that cut labor costs by ~$1M, to agentic AI pipelines deployed in live QSR operations, I work across the full stack from insight to implementation.
Before going deep into ops, I spent time at Praxis Global Alliance crafting $60M market entry strategies, leading national patient safety initiatives across 163K+ healthcare centers, and running commercial due diligence for PE/VC investors. I understand boardroom-level strategy and shop-floor execution equally.
Currently working with
Countries explored
🇮🇳 India🇸🇦 Saudi Arabia🇦🇪 UAE🇲🇾 Malaysia🇸🇬 Singapore🇹🇭 Thailand🇵🇭 Philippines🇶🇦 Qatar🇧🇭 Bahrain🇴🇲 Oman
Education
MBA — International Business
Indian Institute of Foreign Trade (IIFT) · 2023
B.Tech — Mechanical Engineering
Anna University (SSN College) · 2018
Featured Projects
Work
+41pp
FADR improvement
PythonVRPTWMonte CarloDecision Intelligence
Last Mile Route Intelligence Engine
Full OR decision-support system for transportation — Predict → Optimize → Simulate → Decide cycle validated on Amazon Last Mile 2021 dataset (6,112 US routes). PyVRP solver outperforms Amazon's professional drivers by +4.0% travel time [95% CI: 3.3–4.7%, p=3.7×10⁻¹⁰, n=50 routes]. Monte Carlo cascade failure prevention: +41.2pp FADR · $4.3M/year impact. Live Demo ↗
→
$1M
Annual savings
PythonCP-SATOR-ToolsAI
Workforce Optimization Engine
Constraint-programming resource allocation model for multi-location shift scheduling — demand-driven coverage constraints, overtime rules, and cross-branch labor balancing. 4-branch pilot: ~20% staffing reduction with zero SLA degradation. Full 200+ location rollout: ~$1M USD annually. Architecture directly applicable to crew scheduling and resource allocation in multi-depot transport networks.
→
12%
OT cost reduction
PythonAutomationGoogle Workspace
Scheduling & OT Automation System
End-to-end labor resource scheduling pipeline — automated shift allocation rules, overtime calculation, and cross-location compliance flagging across a 200+ branch network. Eliminated 80%+ of manual effort, reduced OT cost ~12%. Demonstrates production-grade integration of OR scheduling logic into live operations.
→
80%
Data noise reduced
Data EngPythonAttendance
Attendance Data Reliability Fix
Enhanced fingerprint transaction reliability for attendance tracking by reducing noisy data points by ~80%, enabling near-real-time imports and eliminating manual reconciliation overhead.
→
$60M
Market entry
StrategyHealthcareUS Market
US Med-Tech Market Entry
Led end-to-end $60M market entry strategy for a U.S. med-tech client at Praxis Global Alliance — industry analysis, market sizing, competitive benchmarking, and GTM framework.
→
163K+
Healthcare centers
PolicyHealthcareNational
National Patient Safety Initiative
Advised on national patient safety policy reform across 163,000+ healthcare centers, leveraging global best-practice benchmarking and stakeholder framework design.
→
$3M
Projected revenue
Site AnalysisF&BGrowth
Branch Expansion Site Selection
Identified and evaluated 9 high-potential branch expansion sites across KSA using geospatial and commercial analysis — projected to contribute ~$3M in additional annual revenue.
→
Career Timeline
Experience
- Daily Food Co.
- Praxis Global
- Titan Engineering
- Becton Dickinson
Senior Operations Associate — Ops & Strategy @ Daily Food Co. (Maestro Pizza)
- Built AI-powered workforce optimization model from scratch reducing labor costs by ~15% across 4 branches — ~$1M USD annual savings potential at full scale
- Conducted org-wide empowerment survey across ~200 branches, establishing KPIs across 12 functions
- Implemented end-to-end scheduling & reporting system, automating OT calculations with ~12% cost savings
- Enhanced fingerprint attendance reliability by reducing data points ~80%, enabling real-time imports
- Automated food safety inspections using Agentic AI, enabling direct quality-team notification and improving compliance
- Identified 9 potential branch sites across KSA with projected sales of ~$3M/year
Management Consultant @ Praxis Global Alliance
- Crafted ~US$60M market entry strategy for a U.S. med-tech client through industry analysis and benchmarking
- Executed quantitative modelling (market sizing, forecasting) using micro-level healthcare industry data
- Led national patient safety policy initiatives for 163K+ healthcare centers, leveraging global best practices
- Advised med-tech firm on tier 2/3 expansion through organic & inorganic growth strategies
- Conducted commercial due-diligence (CDD) across health, tech, and finance sectors for PE/VC investors
Senior Procurement Engineer — Strategy @ Titan Engineering & Automation
- Evaluated investment opportunities in 150+ companies to optimize ~US$1M annual spend on process improvement
- Built financial model to analyze and optimize ~US$5M annual spend on a portfolio of SME companies
- Facilitated client top-line growth to ~US$2M, a 700%+ increase through dual sourcing and cost-plus pricing
- Achieved a 25-fold increase in a ~US$1.6B tech client's top-line through product diversification strategy
- Saved ~US$270K through multi-pronged cost reduction strategy in FY20
MBA Summer Intern @ Becton Dickinson India
- Process optimization and ERP master data cleanup documentation
- Revamped demand-supply planner processes; streamlined supply chain via 16 SOPs
- Automated S&OP planning sheet (significant man-hour savings)
- Prototype for SAP login automation & report retrieval via scripting
Technical & Domain
Skills
Optimization & Operations Research
CP-SAT / OR-Tools
VRPTW / VRP Solvers
Monte Carlo Simulation
Workforce Scheduling
Math Optimization
AI & Automation
Agentic AI Design
Python
Process Automation
Workflow Design
Strategy & Consulting
Market Entry / GTM
Commercial Due Diligence
Quantitative Modelling
Value Chain Analysis
Analytics & Tools
Tableau / QuickSight
Advanced Excel
SQL
ERP Systems
Competition Record
Wins
🥇
International Pre-finalists · Top 67 / 16,000+ teams
Optum Stratethon Season 3
🏆
National Semi-finalists · Top 15
EXL Acumen 2021
🥈
National 1st Runners-up
Cryptomania — Crypto Trading
🏅
Finalists · Top 8 / 1,000+
Bits & Bytes — IIM Bangalore
🏅
National Finalists · Top 10
Mars Wrigley Idea Hunt
🎯
National Semi-finalist
Tata Imagination Challenge 2021
🏅
National Finalists
Nautica — MDI Gurgaon
🥇
International Pre-finalists · Top 67 / 16,000+ teams
Optum Stratethon Season 3
🏆
National Semi-finalists · Top 15
EXL Acumen 2021
🥈
National 1st Runners-up
Cryptomania — Crypto Trading
🏅
Finalists · Top 8 / 1,000+
Bits & Bytes — IIM Bangalore
🏅
National Finalists · Top 10
Mars Wrigley Idea Hunt
🎯
National Semi-finalist
Tata Imagination Challenge 2021
🏅
National Finalists
Nautica — MDI Gurgaon
Travel & Exploration
Through the Lens
UAE
Egypt
Jordan
Thailand
Cambodia
Oman
Qatar
UAE — Night
Jordan
10 countries explored · UAE · Egypt · Qatar · Jordan · Thailand · Cambodia · Oman · and more
Medium · 3+ Years
Writing
Leadership · Strategy
Leadership Lessons from Abraham Lincoln
An analytical take on how Lincoln navigated unprecedented crisis — drawing parallels to modern leadership under pressure, ambiguity, and high stakes decision-making.
More articles
View on Medium →LinkedIn Recommendations
What People Say
Yeshwant helped FullCircle, a digital platform for storytelling between Mother Africa and the Diaspora, to develop the communications logic for web, social, and email campaigns. His mind is analytical and his presence is comfortable. He asked me many questions to help me refine my thinking about requirements, listened actively, and returned flowcharts and notes on time. The difference between what we spoke about and what I got as deliverables was positive. I got more detail, good ideas, and actionable advice than I expected which was a treat.
Mike Wittenstein
Founder, StoryMiners · Dec 2023
Yeshwant is a quick learner and innovative. He brings newer perspectives / alternative ways of solving problems and he is good in execution as well. Overall, he is a quiet person but brings a lot of value to the project through his thought provoking ideas. I wish him all the very best.
Saumya Mitra
Integrated Supply Chain Leader · Aug 2022
Yeshwant is always a new thinker. He does all the job differently — finds alternative solutions for the problem. Dedicated and hard working. His presence always creates a huge impact in process improvements.
Jaya Prakash S
Global Strategic Sourcing · Jul 2021
Epistemophile is what comes to mind when I think about Yeshwant. Above all, I was impressed with his ability to provide unique solutions to problems which requires high understanding and efforts. Yeshwant would be a true asset for any company.
Nithya Babu
Senior Cloud Architect, EY US · Jun 2021
Full Circle
The workforce optimization model I built — it's now in production.
What started as a pilot across 4 branches is now being evaluated for full-scale rollout across 200+ locations. Built from scratch using Python and Python, it has the potential to save ~$1M USD annually. This is what happens when strategy meets engineering.
Present · August 2026
What I'm Doing Now
Building
Last Mile Route Intelligence Engine — full OR decision-support cycle (Predict → Optimize → Simulate → Decide) validated on Amazon Last Mile 2021 data. Deploying as interactive live demo. Exploring transportation simulation and cascade failure modeling.
Let's build something.
Working on hard operations problems or AI transformation? I'd love to talk.
yeshash17@gmail.comTypically responds within 24 hours