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M.Sc. Informatics

Technical University of Munich, Munich, Germany

• Courses
  • IN2228 Computer Vision 2 Multiple View Geometry
  • IN2375 Computer Vision 3 Detection, Segmentation and Tracking
  • IN2046 Machine Learning
  • IN2124 Mathematical Methods for Imaging and Visualization
  • IN2030 Data Mining and Knowledge Discovery
  • IN2062 Techniques in AI
  • IN2356 Autonomous Driving
  • IN2381 Introduction to Quantum Computing
• Master-Praktikum
  • IN2106 Machine Learning in Crowd Modeling & Simulation
  • IN2257 Motion Planning for Autonomous Vehicle
• Master-Seminar
  • IN2107 Deep Learning in Physics
• Master-Thesis
  • Unravelling topology of Dynamic Neural Networks, under Datar, Chinmay M.Sc. and Dietrich, Felix Dr. rer. nat. at the Chair of Scientific Computing at TU Munich.

B. E. Computer Engineering

D.J. Sanghvi College of Engineering, Mumbai, India

• Courses
  • FEC101, FEC201, CSC301, CSC401 Applied Mathematics
  • CSC405 Theoretical Computer Science
  • CSC303 Data Structures
  • CSC304 Digital Logic Design and Analysis
  • CSC305 Discrete Structures and Graph Theory
  • CSC305 Analysis of Algorithms
  • CSC406 Computer Graphics
  • CPC502 Operating Systems
  • CPC504 Computer Networks
  • CPC601 System Programming and Compiler Construction
  • CPC701 Digital Signal Processing
  • CPC703 Artificial Intelligence
  • CPE8031 Machine Learning
  • CPC802 Human Machine Interaction
• Practicals
  • CSC306 Electronic Circuits and Communication Fundamentals
  • CPL501 Web Technologies Laboratory
  • CPL601 Network Programming Laboratory
  • CPL701 Network Threats and Attacks Laboratory
  • CPL801 Cloud Computing Laboratory
• Bachelor-Final Project
  • Speech to Indian Sign Language Translation System, under Sonawane, Pankaj Assistant Professor at the Department of Computer Engineering, D. J. Sanghvi College of Engineering, Mumbai.

Computer Scientist - Autonomous Driving

Institute Systems Engineering for Future Mobility, German Aerospace Centre

• Developing new, efficient systems engineering methods and tools for demonstrating functionality (verification), practical suitability (validation) as well as the further development of trustworthy transport systems.
• Researching co-ordinated, co-operative transport systems with distributed learning intelligence with the help of driving and traffic simulators.

Research Assistant - Autonomous Driving

Chair of Traffic Engineering and Control , TU Munich

• Researched and operationalized the construction of a digital twin of the city of Ingolstadt, BY, DE using ArcGIS CityEngine and Unity3D.
• Ran procedural tests on a landscape of approx 30 sq. km. with an aim to answer questions in the domains of traffic efficiency, safety, ecology and social acceptance of autonomous vehicles.

Data Science Intern

Quantum Diamonds , Munich, Germany

• Modelled Rabi and Electron Spin Resonance (ESR) data using techniques like Gaussian Process, CMA-ES and a custom Auto-Encoder to better understand and streamline the process of creation of Diamonds with Nitrogen Vacancies and their properties.

Business Analyst Intern

BMW Group , Munich, Germany.

• Worked on handling customer feedback processing as a Big Data application within the Global Customer and Dealer Satisfaction Team at BMW. Prototyped a Document Clustering pipeline using SBERT and Doc2Vec.
• Led the process management pipeline during the market launch of the new-7 series (2022) in the European and North American Markets.

Research Assistant - Reinforcement Learning

Chair of Computational Modelling and Simulation , TU Munich

• Learnt local & global navigation behaviors via multimodal interaction between agent-agent and agent-environment in real world 3D environments using Unity ML Agents and Open AI Gym.
• Matched benchmark OpenAI benchmarks, and devised connectors to run OpenAI algorithms on packaged Unity environments.

Business Analyst

Quantiphi Inc. , Mumbai, India

• Worked with a decision-science team on multiple use cases in Machine Learning & Computer Vision.
• Led decision-making conversations using market trends, user behavior findings, price & market constraints and data visualizations.

Machine Learning Intern

National Stock Exchange of India Limited , Mumbai, India

• Worked on a proprietary classification algorithm which categorized trade orders into different categories in conjunction with the technical team at Tata Consultancy Services Ltd.
• Was awarded a bounty of $4000 for winning the NSE Futuretech Machine Learning in Capital Markets Hackathon, Mumbai 2018.

• Best Final Year Project awarded by DJASCII, D. J. Sanghvi College of Engineering, Mumbai, India.

• Winner at NSE Futuretech Hackathon, Mumbai.
• Awarded a bounty of $4000 and an internsip opportunity at the National Stock Exchange of India Limited.