Shishir Narayan
ML EngineerLead Software Engineer at Appian
Appian
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Lead Software Engineer at Appian
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I'm a software engineer with 7 years of experience in the industry in various technical roles around the entire software development lifecycle. I'm currently helping design, build and scale Appian’s Process Mining capabilities, mostly on AWS and Kubernetes. Feel free to reach me at bg.shishir@gmail.com.
Heidelberg University of Applied Sciences
Master of Science (MSc), Informatics
January 1, 2016 – January 1, 2018
St Joseph's University
Bachelor of Science (BSc), Computer Science, Mathematics and Physics
January 1, 2013 – January 1, 2016
Appian
Lead Software Engineer
March 1, 2026 – Present
Berlin, Germany
Appian
Senior Software Engineer II
March 1, 2024 – March 1, 2026
Berlin, Germany
Appian
Senior Software Engineer - Infrastructure
October 1, 2022 – April 1, 2024
Berlin, Germany
Datameer
Senior DevOps Engineer
November 1, 2021 – October 1, 2022
Datameer
DevOps Engineer
December 1, 2019 – November 1, 2021
UPCUE
Software Engineer - Machine Learning
September 1, 2017 – November 1, 2019
Berlin Metropolitan Area
Centre for Fundamental Research and Creative Education
Research Intern
October 1, 2013 – February 1, 2015
Bangalore, India
headstreams
Community Volunteer
August 1, 2013 – September 1, 2014
Bangalore, India
Cultural Fit Analysis
The candidate has a diverse background spanning software engineering, DevOps, and machine learning, indicating adaptability. The progression through various roles at Appian and Datameer, along with prior ML experience at UPCUE, suggests a willingness to learn and grow. The volunteer work demonstrates community engagement. However, the recent focus on infrastructure/DevOps roles might require a re-alignment to a pure ML Engineer role, potentially impacting cultural fit if the candidate is not actively seeking to return to a hands-on ML development position.
Soft Skills & Operational Fit
The candidate's experience as a Lead Software Engineer and Senior DevOps Engineer suggests leadership potential and operational acumen. Descriptions of bringing in new tools (ArgoCD) and stabilizing CI/CD landscapes indicate initiative and problem-solving skills. The volunteer experience also points to strong communication and coordination abilities.