Shamiek.
Postdoc | PhD @ USI
I am part of the SWSYTEMS lab at USI headed by Prof. Patrick Eugster. I am broadly interested in distributed systems, security, programming languages and their interaction. I like to ski, hike, swim, cook, do yoga etc.
Hi, my name is
About Me
I am a PhD student advised by Prof. Patrick Eugster at the SWSYTEMS lab in Università della Svizzera Italiana (USI). My research simplifies the development of secure distributed applications by efficiently employing cryptography, including partially homomorphic encryption, and trusted execution environments for secure computing.
Some technologies I have worked with include:Scala, C++, Python, GoLang, Java
Apache Spark, Apache Hadoop, Airflow
Intel Software Guard Extensions (SGX), AWS Nitro, AMD Secure Encrypted Virtualization (SEV)
AWS EC2, S3, Microsoft Azure, GCP, OCI
Docker, K8s, Terraform
Flask, Jinja
Xen, KVM, QEMU
Jekyll, Hugo
Some technologies I have worked with include:
Education
2024 - present
Postdoc
2019 - 2024
PhD in Computer Science
Università della Svizzera italiana-
Grateful to be awarded the prestigious Bridge PoC grant of 130k CHF for STRIDE (secure transparent resilient independent distributed execution).
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Confidential Analytics with Scylla. In progress.
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Security Policy as Code. Published at IEEE S&P.
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Generalized policy-based noninterference for efficient confidentiality-preservation. Published at PLDI.
Link to full paper.
Courses:
- Distributed Systems, Data Management, Distributed Algorithms, Software Analysis.
Extracurricular Activities:
- Active member of the ski club.
2015 - 2017
Masters in Computer Science
Purdue University
Courses:
- Operating Systems, Compiling and Programming Systems, Algorithm Design & Analysis, Data Communication and Computer Networks, Parallel Computing, Statistical Machine Learning, Data Mining.
Extracurricular Activities:
- Key leader for SKY Campus Happiness (SKY@Purdue).
2011 - 2015
Bachelor of Technology in Electrical and Electronics Engineering
Indian Institute of Technology Guwahati (IITG)
Courses:
- Sparse Representation & Compressive Sensing, Probability and Random processes, Advanced Control Systems, Digital Signal Processing, Pattern Recognition & Machine Learning, Digital Image Processing, Introduction to Queueing Systems.
Extracurricular Activities:
- Valuable player of IITG water polo team.
Experience
I worked as a software engineer and developed products at the intersection of cybersecurity and program analysis which detected exploits at real-time on embedded-resource constrained systems and IoT devices.
- Lead developer for SensorTracer — a low footprint novel source code instrumentation tool based on Ball-Larus path profiling built for a wide range of systems.
- Lead developer for SensorDoctor — a diagnostic tool to replay exploits.
- Designed tests and successfully tested over comprehensive code structures across linux-based application utilities such as wget, vim, sed, flex, grep, gzip, bash, etc.
I worked as a research intern in the area of software engineering and computer vision.
- Developed a new semi-automatic algorithm for 3-D reconstruction of femoral head from CT scans of the pelvic region.
- Reduced reconstruction time of femoral head by over 50%.
- Achieved an outstanding accuracy of 93% compared to manual reconstruction of femoral head.
Instructed Foundations of Computer Science (CS 182) to a class of 50 students in summer 2016.
Responsibilities included
- curating course content and delivering lectures.
- desinging and grading quizzes, assignments and examinations.
Achievements
Get in Touch
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