Parth Jaggi Email & Phone Number

Toronto, Canada Area

• Worked in a team of 3 (1 doctoral students, 2 postdocs) under the supervision of Prof. Scott Sanner to create MonteCarloLights, which uses a learnt microscopic traffic dynamics model in conjunction with tree-search.
• Collaborated with Jihwan Jeong and Prof. Scott Sanner on closed-form solutions for continuous state MDPs where a linear program determines state transitions, by proposing a novel symbolic dynamic programming solution.

New Delhi Area, India

• Worked with the backend team (~10 engineers) on the Test-Taking Portal at myPAT (one of India’s largest online learning platforms), helping over 700k students generate Reports and Analyses of their attempted Tests.
• Used Node.js, MongoDB to design and develop efficient Report-Creation APIs.

Gurgaon, India

• Initiated a moonshot project, stock market trading bot, for DataMonk (data intelligence consultancy specialized in ML solutions) using model-free DRL agents in PyTorch which utilized features from statistical indicators.
• Developed multiple Java-based web-services for the in-house recommendationengine. In production.

Haryana

• Lead and shipped SurveyFi (survey-making website and web-based mobile app) at Summit Global It Solutions (IT solutions consultancy) helping provide online-survey solutions to customers.
• Wrote and reviewed code in Node.js, Angular4, MongoDB in conjunction with management of AWS deployment as a full-stack developer.

Mahindra Research Valley, Chennai

• Part of Heavy Engines Design Team that received training at Mahindra's Haridwar Plant.

West Bengal, India

• Analyzed Capillary Filling Dynamics of a Viscoelastic Fluid through a Concentric Annulus.
• Worked extensively on MatLab to create better Capillary Flow Visualization to better understand its Oscillatory Nature.
• Estimated Criterion for the Onset of Oscillations, as a function of the Bond Number and Capillary Number.

Punjab, India

• Development of Crank-Angle Based Exergy Analysis using MatLab and data provided by SRM module.
• Worked on formulating an Availability balance that can predict about the different regions of Exergy transport on a Crank angle basis.
• Published as SAE Technical Paper.

Bangalore

• Gained Proficiency on Star CCM+ to perform Convection Term Analysis for the MUSCL scheme.
• Presented Report comparing Run-time and Convergence results between 2nd Order Upwind Scheme and Hybrid Second Order Scheme.

Master Of Applied Science, Mechanical And Industrial Engineering

Engineer’S Degree, Mechanical Engineering (Hons), 8.53

Practical Deep Learning For Coders

Machine Learning Advanced Nanodegree Program

High School