April 2021 – Present
Lausanne, Switzerland

Senior Data Engineer


September 2019 – March 2021
Lausanne, Switzerland

Software Engineer | R&D Lead

GenLots SA

■ Software Developement(Python, JS) & ETL pipeline design-implementation
■ Algorithmic developement & optimization, Reinforcement Learning
■ Applied machine learning | Time series forecasting | Big Data Analytics
■ University partnership lead | Mentoring master thesis students
January 2015 – August 2015
Zürich, Switzerland

Project Intern

ETH Zürich

■ Master thesis supervised by Prof. Friedemann Mattern & Anwar Hithnawi
■ Project: Facilitating Wireless Coexistence Research
■ Areas: Wirelss networks, Internet of Things, Software radio, Embedded systems
January 2014 – August 2015
Berlin, Germany

Co-founder & Systems Architect


■ Planning & development of a cloud infrastructure for testing IoT products
Co-developed a multi-national team, won the Future Cloud Challenge 2014
Deployed the system at ETH Zürich & TU Berlin, gathered performance metrics
■ Conducted surveys & in-person interviews, made changes based on the feedback
Composed the business plan as minor thesis
August 2011 – August 2013
Goa, India

Embedded Design Engineer


■ Design & testing of embeded platforms for IoT devices & mobile robots
■ Created training strategy, conducted training sessions at premier universities
■ Represented the organization at flagship security conferences such as NullCon
May 2009 – September 2009
Goa, India

Project Intern

National Institue of Oceanography

■ Integrating sensors on an Autonomous Underwater Vehicle (AUV)
■ Conducting experiments & collected feedback

Peer-reviewed Publications

More Publications (Preprints)

Information Disclosure in Location-based Services: An Extended Privacy Calculus Model
International Conference on Information Systems (ICIS), 2019


Breadcrumbs: A Feature Rich Mobility Dataset with Point of Interest Annotation
Advances in Geographic Information Systems (ACM SIGSPATIAL), 2019

PDF Code Dataset1 Dataset2 Dataset3

On the Inability of Markov Models to Capture Criticality in Human Mobility
28th International Conference on Artificial Neural Networks (ICANN), 2019

PDF Code Dataset1 Dataset2 Dataset3

Examining the Limits of Predictability of Human Mobility
Entropy, 2019

PDF Code Dataset1 Dataset2 Dataset3

Generative Models for Simulating Mobility Trajectories
Neural Information Processing Systems Workshop on spatiotemporal modeling, 2018

Preprint Project Dataset

Capstone: Mobility Modeling on Smartphones to Achieve Privacy by Design
IEEE Conference On Trust, Security & Privacy In Computing & Communications (TrustCom), 2018

Preprint Project Dataset1 Dataset2 Dataset3

Extracting Hotspots without A-priori by Enabling Signal Processing over Geospatial Data
Advances in Geographic Information Systems (ACM SIGSPATIAL), 2017

Preprint Project Dataset1 Dataset2

Generating Synthetic Mobility Traffic using Recurrent Neural Networks
ACM SIGSPATIAL Workshop on AI and Deep Learning for Geographic Knowledge Discovery, 2017

PDF CODE Dataset

Privacy-Preserving Location-Based Services by using Intel SGX
ACM SenSys Workshop on Human-centered Sensing, Networking, and Systems, 2017

PDF code Dataset

MobiDict: A Mobility Prediction System Leveraging Realtime Location Data Streams
ACM SIGSPATIAL Workshop on GeoStreaming, 2016

PDF Project Dataset

Capturing Complex Behavior for Predicting Distant Future Trajectories
ACM SIGSPATIAL Workshop on Mobile Geographic Information Systems, 2016

PDF talk Dataset

A Mobility Prediction System Leveraging Realtime Location Data Streams
ACM Conference on Mobile Computing and Networking (MobiCom) (Poster), 2016

PDF Project Dataset

Controlled Interference Generation for Wireless Coexistence Research
ACM MobiCom workshop in Software Radio Implementation Forum (SRIF), 2016

PDF Code Dataset


  • Python data science stack (NumPy, SciPy, pandas) ● Programming, Scripting, Databases (C/C++, Python, JavaScript, Scala, SQL)
  • Applied ML/AI (Tensorflow, Keras) ● Data visualization (Tableau, matplotlib) ● Microsoft office tools ● Version control tools (GIT, SVN)
  • Statistics ● Data privacy & security regulations ● Privacy enhancing technologies ● Encryption standards
  • On-demand cloud computing platforms: Amazon web services ● Microsoft azure ● Google colab ● Cloud-native Apache Hadoop & Apache Spark
  • Front-end web dev. (HTML5, React-Redux, Angular) ● Android application dev. (Android studio) ● Web application dev. (NetBeans)
  • Embedded systems & IoT dev. (Contiki OS) ● Software radio dev. (GNU radio, USRP) ● DSP & FPGA (Code composer studio) & TI tools
  • Languages: English (Fluent) ● French (B1) ● German (A2-B1) ● Hindi (Fluent) ● Marathi & Konkani (Native)