Wasim Ali

Associate Consultant

Kolkata, West Bengal, India9 yrs 11 mos experience

Key Highlights

Expert in building AI systems beyond text generation.
Proven track record in supply chain optimization.
Strong experience with cross-functional team collaboration.

Stackforce AI infers this person is a Supply Chain and AI Optimization Specialist.

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Skills

Core Skills

Supply Chain OptimizationOperations ResearchSupply Chain Management

Other Skills

Large Language Model Operations (LLMOps)MIPMixed Integer ProgrammingCritical ThinkingCPLEXData ScienceMachine LearningMILPCPAnalyticsAutonomous AgentOllamaSemantic SearchSentence TransformersAutonomous AGents

About

I build AI systems that think, retrieve, and act — not just generate text. I specialize in Generative AI and LLM applications, designing systems that go beyond prompts: RAG pipelines that turn unstructured data into grounded intelligence Agentic workflows with memory, planning, and decision-making Local LLM deployments optimized for real-world use I’ve built: * A video-to-knowledge RAG system enabling semantic search and grounded Q&A * Autonomous Exploration Agent (Frontier-Based + A*) * An autonomous AI agent combining reinforcement learning (PPO) with A* planning for navigation under uncertainty (WIP) What sets me apart: Most GenAI work stops at demos. I focus on building complete systems: • End-to-end pipelines (ingestion → retrieval → reasoning → response) • Deployment and backend integration using FastAPI, Docker, and MLflow • Evaluation, and practical usability Backed by ~10 years in optimization and decision systems, I bring mathematical rigor into GenAI — building systems that are not just intelligent, but reliable and efficient. * Experience working with clients across India, US, Germany, UK, and Middle East * Led and collaborated with cross-functional teams delivering high-impact solutions I’m interested in building next-generation AI systems — where LLMs don’t just answer questions, but interact with the world, make decisions, and solve real problems. If you're working on GenAI, AI agents, or LLM systems, let’s connect.

Experience

9 yrs 11 mos

Total Experience

Average Tenure

Current Experience

Arkieva

Optimization Consultant

Aug 2024 – Present · 1 yr 10 mos · Mangaluru · On-site

Developed Mixed Integer Programming (MIP) models for supply chain optimization, building a tea blending solution that reduced blending costs by 18% and improved process accuracy

Large Language Model Operations (LLMOps)MIPSupply Chain Optimization

Wipro

Senior Project Engineer

Oct 2021 – May 2023 · 1 yr 7 mos · Bengaluru · Hybrid

Developed and optimized airline tail assignment models, improving fleet utilization by ~20-22% and reducing scheduling inefficiencies
Designed and implemented crew bidding and assignment modules for decision support systems, increasing crew allocation efficiency by ~10–15%
Applied data science and machine learning techniques to enhance scheduling accuracy and operational decision-making
Delivered solutions for major airline clients, including a UK-based low-cost airline (~£1.46B revenue) and a leading US carrier (~$6.04B revenue)

Critical ThinkingCPLEXOperations Research

Intel corporation

Operations Research Engineer

Mar 2020 – Oct 2020 · 7 mos · India

Contributed to Intel’s Supply Chain Decision Solution (SCDS) team by enhancing in-house decision support systems for supply chain planning
Troubleshot and optimized system logic to address stakeholder requirements, improving solution reliability and planning effectiveness
Partnered with cross-functional stakeholders to resolve operational issues and support data-driven supply chain decisions

Critical ThinkingSupply Chain OptimizationSupply Chain Management

Ey

Consultant

May 2014 – Apr 2019 · 4 yrs 11 mos · India

Developed optimization and analytics solutions (MILP, CP, heuristics, ML) for supply chain and operations across enterprise clients, improving efficiency by ~8–15% across projects
Implemented Product Wheel–based production planning models for multinational clients (~$46B assets) using IBM ILOG CPLEX and MS SQL, increasing OTIF by 10% and improving throughput by 12%
Designed network optimization models for an FMCG client (~$1.3B assets), reducing logistics and distribution costs by ~6–10%
Built inventory optimization models for a global enterprise (~€25B assets), lowering inventory holding costs by ~8% while maintaining service levels
Developed telecom tower location optimization solution using logistic regression, improving coverage efficiency by ~12%
Led supply chain transformation and production scheduling initiatives for a mid-sized enterprise (~$163M revenue), improving planning efficiency
by ~10%
Delivered KPI frameworks and analytics insights for multinational FMCG operations across India and Middle East engagements (UAE), enabling data-driven decision-making
Collaborated with cross-functional teams (8–10 members) to deliver client-facing solutions and strategic insights

Critical ThinkingSupply Chain OptimizationOperations Research

Optirisk india

Manager of Techno Marketing

Jan 2010 – Jan 2011 · 1 yr · Chennai Area, India

Worked on mathematical models using Mixed Integer Linear Programming to solve problems in production planning and scheduling, supply chain, and fleet scheduling.
Optirisk was a startup and I was also part of the team that developed the company website
Gained experience in online marketing and headed the marketing team

Supply Chain OptimizationAnalyticsSupply Chain Management