July 2022 – Present
Lausanne, Switzerland

Data Engineering Lead


■ Enterprise data-warehouse solution to collect-harmonize-process clinical data
■ ML-driven entity-extraction & search for knowledge-graphs & trend-monitoring
■ System architecture design & implementation of large-scale analytical-applications
■ Conducting technical due diligence of startups to aid digital health investment
April 2021 – June 2022
Lausanne, Switzerland

Senior Data Engineer


■ Infrastructure development for ETL pipelines to ingest large-complex data
■ Analytical tools for data-pipelines providing business performance insights
■ API & CLI to expose DB functionalities; Formal specifications for requirements
September 2019 – March 2021
Lausanne, Switzerland

Software Engineer | R&D Lead

GenLots SA

■ Implemented microservices architecture to ingest, serve client data to ML service
■ Benchmarked & optimized the ML service; designed & shipped end-to-end features
■ Developed reporting tools to automate client delivery services; Led R&D projects
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


■ Designed PCB layouts of platforms for embedded applications
■ Implemented tools to benchmark platform performance
May 2009 – September 2009
Goa, India

Project Intern

National Institue of Oceanography

■ Integrated sensors on an Autonomous Underwater Vehicle (AUV)
■ Conducted experiments & collected feedback


  • OO-Programming, Scripting, Test-driven Development: Java, Python, C/C++, Bash (6 years); Scala, Javascript (3 years); JUnit, pytest
  • Database Development: SQL, PostgreSQL, MySQL (5 years); SQLite, MongoDB, Redis, Elasticsearch (2 years), pgAdmin (debugging tools)
  • Microservices-driven Architecture: Docker-compose, Kubernetes, RabbitMQ, Kafka, Flask, Spring, Jersey, Airflow, AWS, Azure (4 years)
  • Observability, Logging, CI/CD: Elasticsearch-Kibana-Logstash stack (2 years); Setting Gitlab/Jenkins/Bitbucket CI/CD pipelines (3 years)
  • ML & Data Science Stack: NumPy, SciPy, pandas, Dask, scikit-learn, TensorFlow, Keras, R (4 years), Apace Spark/ Spark streaming (2 years)
  • Version Control & Data Visualisation: Git, SVN, Jetbrains Toolbox (6 years); matplotlib, seaborn, Tableau, D3, deck.gl, Folium (4 years)
  • Security Audit Tools & Project Management: npm-audit, kubeaudit, docker-bench-security, Bandit, Git-Secrets (2 years); Atlassian suite
  • Languages: English (Fluent), French (working proficiency), German (elementary proficiency), Hindi (Fluent), Marathi & Konkani (Native)

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, 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 - 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