About Me
- Hi! I’m Sathiyanarayanan Palani.
- I am good at providing solutions for the problems via possibilites in the tech realms as a Solutions Architect. (specialized in 0-1 developmental phase)
- Interested in (Entrepreneurship / Problem Solving / POC Development)
Age
29
Email
sathiyanarayanan396@gmail.com
Phone
+918072500974
Address
Cuddalore, Tamil Nadu, India
Professional Skills
Python
C/C++
Jenkins/Docker
Proficiency in Communication
Self-Learning/Problem-Solving
Proof-of-concept development
Skills
| Category | Technologies |
|---|---|
| Languages: | C, C++, Python, Shell & Batch basics |
| Operating System: | Linux, windows |
| Communication Protocols: | UART, I2C, SPI |
| Networking Protocols: | TCP/IP, UDP, HTTP, MQTT, SQL, Postgres, Elastic, Prometheus, OTLP Basics, WebRTC, Websockets |
| SCM: | |
| Tools and Libraries: | Gtest, FFF, Jenkins, Git, MySQL, OpenCV, Tkinter, paramiko, SCP, pandas, ASTREE, lark – parser, matplotlib, numpy, plotly, libdatachannel pyYaml, rich, pytest, polars, multiprocessing, elasticsearch, kibana, grafana, prometheus_api_client, diskcache, dash, sqlalchemy, apscheduler, aiortc, asyncio, websockets etc |
| Web Technologies: | |
| DevOps & Deployment: | |
| Infra as Code, K8s, Helm & GCP | |
| Machine Learning: | |
| PyPI: |
Work Experience ( 8+ years )
Telemetry Software Data Engineer
at Intel SRR, Bangalore
( Nov, 2023 - Present )
- ETL-Pipeline - Scalable Architecture & Scripting done for aggregating errors in timeseries metrics stored in centralized tsdb cluster to populate elastic indices.
- Telemetry-UI - Scalable Design & Scripting done for visualization of collected KPI's using improved MVC architecture & local cache.
- EBDT - Proposal, Prototype of Event Based Distributed Tracing architecture for enhanced telemetry collection process, drawing inspirations from Open Telemetry Project for better observability.
- QTOPP - Development of Queued tasks on Process Pools, as headless CICD runner, for scheduled statistical calculations to share refined results via SMTP.
- V&V POC - Evaluating, Prototyping to ensure the infrastructure for implementation of assisted verification and validation of designs by leveraging Pre-trained AI Models.
Semiconductor S/W Product Development Engineer
at UST Global, Bangalore
( May, 2022 - Oct 2023 )
- Responsible for Python Automation test framework, modification, maintenance & Improvement. Handling Development, Testing, setting up CICD Nightly using Github actions with custom runners for Python packages, being part of automation telemetry team
- Implementing Serial-Over-Lan using IPMI tool & tee object using Powershell command, with monitoring thread for retrying connections during target reboot & Worked on POC for uploading register values to influx DB, using low-latency InfluxDB-line-protocol, for Storage, Visualization & analysis. Collecting Performance KPI's from Thermal & Power sub-system via Redfish, based on DMTF Docs, using ODATA queries that works on top of REST APIs
Open Source PyPI Package Development
as Self-Initiated Volunteer
( Jan, 2022 - Apr 2022 )
- Worked on problem statement definition, framing requirement specification, architecture design, development, testing, documentation & release for OSS PyPI Packages.
- The Packages have garnered around 86k+ life time downloads organically via GitHub and PyPI.
Senior Engineer
at Ielektron Technologies, Chennai
( Oct, 2018 - Dec, 2021 )
Software Validation Engineer
at MBRDI, Bangalore ( as External )
( Apr, 2019 - Dec, 2021 )
- Responsible for writing test scripts for automated validation of measurements in python based on HIL scenarios from DOORS.
- Responsible for HiL process Automation via SSH using python Libraries like paramiko and SCP.
- Responsible for development of Custom framework and reusable components in Python & Bash for automated test case generation using pandas data frames for pre-HIL execution task.
- Responsible for Runtime dynamic analysis of ADAS utility modules in c using ASTREE.
- Responsible for unit testing, L2 testing using Google test framework in c++ based on Scenarios (SIL).
Python Developer
at SAFRAN Aerospace, Bangalore ( as External )
( Oct, 2018 - Mar, 2019 )
- Responsible for Multi-Display Broadcast over local Network using TCP/IP.
- Responsible for Data Visualization of sensor plots in Aerospace Applications using python & plotly (3d scalar plots).
- Responsible for visualization of volumetric data in the form of normal distribution for the development of algorithm on event classification using Matplotlib.
Embedded Software Developer
at Ielektron Technologies, Chennai
( Jul, 2017 - Sep, 2018 )
- Responsible for Embedded Software unit and functional Testing.
- Responsible for Embedded Software Development of iElektron Security Products.
- Development of multi-branch CI/CD pipeline in Jenkins for Unit Testing with github app integration for events and mail, slack integration for notifications.
- Responsible for development of semi-automated hardware testing platform for Renesas Microcontrollers using Iron-python Renesas APIs
Education
BE - Electrical and Electronics Engineering
from Anand Institute of Higher Technology, chennai
(affiliated to Anna University)
2013 - 2017
- Graduated with a first class in Electrical and Electronics Engineering.
- Final Year project done using OpenCV and Raspberry Pi for Automatic Attendance System using Face Recognition.
HSC
from ARLM Matric Higher Secondary School, Cuddalore
2012 - 2013
- Completed with 85%
SSLC
from SRV Matric Higher Secondary School, Trichy
2010 - 2011
- Completed with 85%
Proposals
Element 14 Road Test
Proposal written on the Test strategy & Test procedure to be followed for testing Xsens MTI-680-DK GNSS/ISS Development Kit.
More >Cluster Monitoring
Proposal written on Monitoring clusters, for Visualization of node observability metrics, involved in Intense workloads like Training ML models.
More >River Banks, Proprioceptors & An Intangible Network
Transdisciplinary Movement redefining Information System (IS) integral to Socio-Ecological-Technical System (SETS)
More >Monosemanticity-MLP-Interpretability
Decomposing Multi-Layer Perceptron (MLP) activations using Sparse Autoencoders (SAEs) to identify monosemantic features via sparse Dictionary Learning.
More >Activation-Steering-et-Ablation
Experiments on Activation Steering & Ablation to understand & Demonstrate Controllable Mechanistic Interpretability through Real-Life Applications on MLP.
More >