Abhilash M Menon
Operations Research Scientist - I
Bengaluru
Summary
Seasoned operations research scientist specializing in supply chain optimization, replenishment planning, railway crew scheduling, and vehicle routing. Proficient in solving intricate optimization problems using various techniques including MILP, meta-heuristic algorithms such as genetic algorithms, and advanced AI/ML algorithms. Demonstrated success in implementing end-to-end solutions by integrating SQL databases, developing APIs, and deploying applications using Docker and AWS services. Skilled at managing large-scale data-driven optimization tasks and collaborating with cross-functional teams to deliver scalable solutions. Well-versed in cloud-based deployments using AWS (EC2, SQS, Secrets Manager) and containerization through Docker. Possesses strong analytical and problem-solving abilities, complemented by expertise in Python, SQL, C++, and optimization tools like Gurobi, Pulp, and AIMMS. Proven track record of enhancing supply chain efficiency and reducing operational costs through the implementation of multiple policy-driven replenishment models.
Overview
1
1
year of professional experience
5
5
years of post-secondary education
Work History
Operations Research Scientist
ORMAE
7 2024 - Current
- Developed end-to-end replenishment system with multiple policy logics (due order, monthly, weekly).
- Designed SQL queries for seamless data extraction and integration.
- Implemented Flask APIs for efficient module communication.
- Set up AWS SQS for asynchronous processing to enhance performance.
- Deployed on AWS EC2 using Docker with AWS Secrets Manager for secure credentials.
- Automated process to reduce stockouts and optimize inventory levels.
Operations Research Scientist
08.2023 - Current
- Worked on optimizing vehicle routing problems with time windows, clustering, multiple vehicle runs, and pickups/deliveries
- Explored and benchmarked Google OR tools to implement new features and ensure robustness in routing optimization product
- Enhanced product by developing solutions for complex routing scenarios, ensuring scalability for larger datasets.
Operations Research Scientist
04.2024 - 07.2024
- Developed a crew scheduling model aimed at minimizing crew size while adhering to various labor regulations, including rest and duty hour restrictions
- Captured complex non-linear business rules, including duty hour-dependent outstation/home lobby rest requirements
- Used Mixed-Integer Linear Programming (MILP) to find optimal crew links, minimizing crew requirements while maximizing efficiency
- Implemented the solution in Gurobi, resulting in streamlined crew assignments that significantly reduced operational costs and improved service reliability.
Operations Research Scientist
10.2023 - 11.2023
- Solved a supply chain network optimization problem for an FMCG client by determining optimal hub locations and village assignments
- Developed a Genetic Algorithm to optimize coverage and minimize travel time while adhering to business constraints
- Constructed a sophisticated fitness function to quantify and improve the solutions w.r.t all the constraints in their respective priority order and the hierarchical objectives, with customized crossover and mutation operations
- Delivered results that improved client's operational decision-making by identifying optimal logistics routes and hub placements.
Operations Research Scientist
09.2023 - 10.2023
- Developed a Genetic Algorithm to optimize vehicle routes for village-level service using priority scoring and constraints
- Implemented heuristic based approaches such as nearest neighbour and its variants using clusters from sweeping algorithm for initial population
- Managed population generation, selection, crossover, and mutation strategies to ensure robust route optimization
- Used the OSRM API to get the distance and time matrices between the locations
- Improved operational efficiency by reducing route times and increasing van coverage through optimization.
Education
Indian Institute of Technology
Bhubaneswar 07.2018 - 05.2023
Skills
- Programming: Python, C, SQL
- Optimization Tools: Pulp, AIMMS, Google OR Tools, Gurobi
- Cloud & Deployment: AWS (EC2, SQS, Secrets Manager), Docker
- Optimization Methods: MILP, Genetic Algorithms, Heuristics
- Other Tools: Flask API, TensorFlow, MySQL
- Collaboration: Effective communication and teamwork with cross-functional teams
Documentation expertise
Skillsandexpertise
Python, C++, SQL, Pulp, AIMMS, Google OR Tools, Gurobi, AWS (EC2, SQS, Secrets Manager), Docker, MILP, Genetic Algorithms, Heuristics, Flask API, TensorFlow, MySQL
Scholasticachievements
- Secured an All India Rank of 7227 (top 3%) in JEE Advance 2018 and 6628 (top 1%) in JEE Mains 2018.
- Selected for presenting at the Symposium "Artificial Intelligence and Machine Learning for Problems in Structures and Materials" conducted by the American Institute of Aeronautics and Astronautics (AIAA) in 2022
- Provincial Topper in All India Senior School Certification Examination 2017 for English literature.
Research Projects
Deep Learning-Based Optimization of Piezoelectric Energy Harvester (PEH), Virtual Research Intern, Cardiff University, 03/2021 - 01/2022, Abaqus, FEM simulations, Python, TensorFlow, Deep Neural Network, Developed a DNN-based surrogate model to optimize the configuration of a PEH for maximizing electrical output., Applied genetic algorithms to optimize the harvester's design parameters for energy efficiency., Published findings at the American Institute of Aeronautics and Astronautics (AIAA) conference.
Accomplishments
• Secured an All India Rank of 7227 (top 3%) in JEE Advance 2018 and 6628 (top 1%) in JEE Mains 2018.
• Selected for presenting at the Symposium “Artificial Intelligence and Machine Learning for Problems in Structures and Materials” conducted by the American Institute of Aeronautics and Astronautics (AIAA) in 2022
• Provincial Topper in All India Senior School Certification Examination 2017 for English literature.
Timeline
Operations Research Scientist
04.2024 - 07.2024
Operations Research Scientist
10.2023 - 11.2023
Operations Research Scientist
09.2023 - 10.2023
Operations Research Scientist
08.2023 - Current
Indian Institute of Technology
07.2018 - 05.2023
Operations Research Scientist
ORMAE
7 2024 - Current
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