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AI Research Engineer with less than a year in Industrial Engineering with expertise in Data Science,
My Ph.D. research at IIT Delhi focuses on applying data science and optimization techniques to public transport systems. I have worked on diesel bus scheduling by eliminating overlapping trips, driver scheduling to reduce overtime costs, and electric bus planning with efficient charging strategies. Using real-world operational data and analytical models, my work improves fleet utilization and charging efficiency. The developed solutions support cost reduction, service reliability, and sustainable mobility. This work provides data-driven solutions that help transit agencies improve both operational effectiveness and financial efficiency.
Indian Institute of Technology Delhi
Doctor of Philosophy · Industrial Engineering and Operation Research
August 1, 2020 – June 30, 2026
Govt. Sec. School, Chandresal
10th
N/A – May 31, 2013
MNIT Jaipur
B. Tech · Mechanical Engineering
N/A – June 30, 2020
Sagar Bal Sr. Sec. School
12th
N/A – May 31, 2015
INDIAN RAILWAY
Apply predictive maintenance using sensors in service of wagons
May 1, 2019 – June 1, 2019
Vadodara, Gujarat, India
GAN-Augmented Deep Learning Framework for Electric Bus Route Prioritization (Self Project)
July 1, 2025 – December 1, 2025
This study proposes a fully data-driven framework where route electrification priorities are learned using backpropagation-based deep neural networks, with data scarcity addressed through generative adversarial networks (July-Dec 2025).
Optimization of Electric Bus Operations: Scheduling, Charging, and Infrastructure Planning (BMTC-IITD)
July 1, 2022 – January 1, 2024
Proposed integrated planning models for electric bus scheduling and charging infrastructure that minimize total initial investment and improve operational efficiency (July 2022-Jan 2024).
Bus Optimization Toolkit (BMTC-IIT Delhi)
June 1, 2021 – July 1, 2022
Built reusable Python-based optimization modules supporting scheduling, routing, and resource allocation (June 2021- July 2022).
Predictive Analysis for Retail Demand (Voylla Fashion)
January 1, 2020 – April 1, 2020
Demand Estimation Using Machine Learning Models (ANN): A Case of Jewelry Industry (VOYLLA FASHION PVT.LTD. (Jan-April 2020).
Reducing Fleet Replacement Requirements through Energy- Aware Electric Bus Deployment in Urban Transit Systems
Journal of Public Transport (Under review)
January 1, 2026 – Present
Efficient and Sustainable Electric Bus Operations through Joint Scheduling, Charging Infrastructure Utilization and Driver Planning
Working paper
January 1, 2026 – Present
Optimization of charging infrastructure and battery size for efficient electrification of diesel bus Network
5th Indian International Conference on Industrial Engineering and Operations Management
November 1, 2025 – Present
Optimization of Bus Schedule: An Integrated Approach to Mitigate the Bus Overlapping
Institute for Operations Research and the Management Sciences (INFORMS 2025) International Meeting
July 1, 2025 – Present
Designing a decision support system for optimal allocation of drivers and reducing the overtime costs for bus transportation system
Transportation Research Interdisciplinary Perspectives (Under review)
January 1, 2025 – Present
Design and Implementation of a Network- Aware Automated Bus Scheduling System for Optimizing Operational Efficiency and Financial Performance
Case Studies on Transport Policy
January 1, 2025 – Present
Design and Implementation of an Integrated Optimization Framework for Electric Bus Scheduling and Charging Infrastructure in Urban Transport Systems
Journal of Transport Policy (Under Review)
January 1, 2025 – Present
An Integrated Approach to Electric Bus Timetabling and Scheduling for Sustainable Urban Mobility
33rd European Conference on Operational Research (EURO 2024)
June 1, 2024 – Present
IIT Delhi Grant: Received International Research Travel Grant from IIT Delhi for presenting a research paper in EURO 2024 conference
IIT Delhi
January 1, 2024 – Present
Bus Crew Schedule Optimization in Bus Transit Network: Impact on Overtime Cost of Drivers
56th Operational Research Society of India (ORSI 2023) Conference
December 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic background and extensive research in optimization and AI for public transport systems indicate a strong alignment with roles requiring deep technical expertise and a research-oriented mindset. Their involvement in multiple academic projects and publications suggests a collaborative approach to problem-solving. The diversity of projects, from academic to professional and personal, shows initiative and a broad interest in applying AI/ML. However, without psychometric test results, a comprehensive assessment of cultural fit regarding teamwork, stress handling, and work attitude is not possible.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills through their academic research and project work. Their focus on optimization and data-driven solutions aligns well with operational efficiency. The numerous publications suggest strong communication of complex technical concepts, which is crucial for a research role. However, direct experience in a corporate R&D setting is limited, and the psychometric and English test scores are not available, making a full assessment of soft skills and operational fit challenging.