| | | 20,000+ Fresh Resumes Monthly | |
|
|
| |
Click here or scroll down to respond to this candidate Candidate's Name
PHONE NUMBER AVAILABLE | EMAIL AVAILABLE | LinkedIn | Seattle, WA
TECHNICAL SKILLS
Programming Languages: Python, C/C++ Web Technologies: HTML5, CSS3, JavaScript
Database: MySQL Data: Datastructures, Algorithms, Elasticsearch, Logstash, Kibana
EXPERIENCE
L&T Technology Services (LTTS), Bengaluru, India
Engineer, May 2022 - Nov 2022
Associate Engineer, May 2021 - May 2022
Developed and implemented a Python-based automation engine that seamlessly integrates with current EDA
tools to replace the legacy shell and Perl scripts for PDK automation. Facilitated efficient generation of layout
designs and comprehensive reports such as LVS, DRC, ERC, and simulation logs.
Achieved nearly 60% reduction in memory usage and significantly accelerated execution time by migrating to
the Python-based automation engine, enhancing overall efficiency and performance of PDK automation
processes.
Utilized jinja2 templating for generating various files used for validation of kits.
Collaborated with cross-functional teams, including designers, testers, and project managers, to ensure
successful project delivery.
L&T Technology Services (LTTS), Bengaluru
Software Engineer Intern, Feb 2021 - Apr 2021
Specialized training on generations of mobile technologies like 2G, 3G, 4G LTE, and 5G.
Comprehensive understanding of components and functionalities within the Elasticsearch, Logstash, and
Kibana ecosystems(ELK).
Implemented a log parser for telecom log files that takes a log file and configuration rules as inputs, parses the
log file, extracts information, and generates an output file.
PROJECTS
Border security intrusion detection using IoT and Embedded system, Project lead, Jan 2020, Bengaluru
An autonomous security system aimed at replacing human personnel in high-risk intrusion zones
Utilized Raspberry Pi, Passive Infrared Sensor (PIR) technology, and buzzer mechanism to promptly notify
intruders and security personnel.
Implemented face recognition using Haar Cascade for face detection and embedding distance for image
similarity search, aiding security personnel in accurately categorizing detected individuals as potential intruders.
Utilized Blynk for remote communication with the Raspberry Pi, enabling seamless control over various
functionalities including the activation of an electric fence, management of camera direction, and regulation of
vehicular movement.
Published a paper -
https://www.researchgate.net/publication/372187359_Border_Security_Intrusion_Detection_Using_IoT_and_E
mbedded_Systems
STUDENT MANAGEMENT SYSTEM, Python, MySQL, Group project, Jan 2019, Bengaluru
The project involves the creation of a tailored Student Management System, specifically designed to cater to the
administrative needs of colleges. This system efficiently retrieves student data, role-based logins, profiles, and course
information.
Designed ER diagram to capture the interactions between students, professors, courses, administrators, more
Designed and developed backend RESTful APIs to support CRUD operations
Implemented robust security features, including authentication using hash-based comparison and role-based
authorization
EDUCATION
Reva University, Bachelor of Technology in Computer Science & Engineering, August 2020, GPA: 8.97/10
|
