Srishti Mouli
Montreal,Canada
Summary
Product Engineer with 5 years of experience designing and developing products from customer specifications and sales department requests. Proactively communicated with manufacturing team to plan materials and tools necessary to build specified designs. Well-versed in software design applications and products.
Overview
8
8
years of professional experience
Work History
Product Support Engineer
Siemens Digital Industries Software
09.2021 - Current
- Enhanced product usability by troubleshooting issues and providing effective solutions to customers.
- Streamlined support processes for increased efficiency, leading to improved customer satisfaction rates.
- Worked with Product Specialists on testing and problem debugging to optimize semiconductor chip performance by 8%
- Addressed 90% pre-/post-sales needs via technical customer calls and troubleshooting software application issues
- Developed custom scripts using Python and Bash scripting
- Delivered Product Presentations to leadership showcasing 10+ ML-based Electronic Design Automation (EDA) tools to 10+ leading semiconductor companies
- With strong cross-functional team skills, have driven new business opportunities by 7%; acquired new customer accounts resulting into 1.5x annual revenue growth
- Created 10+ detailed technical documentation, including user manuals, installation guides, and API documentation, to assist customers and stakeholders
- Collaborated with cross-functional teams (project managers and software designers) for seamless software delivery and provided ongoing customer support and maintenance
- Optimized tool operations, reducing incident response times by 12% and proactively resolving 2x more issues to enhance service quality and prevent future challenges
- Experience in end-to-end ETL pipeline using Azure Data factory, Databricks, DataLake, SQL.
Machine Learning Researcher
University of Saskatchewan
09.2018 - 12.2021
- Enhanced machine learning model performance by implementing advanced algorithms and feature engineering techniques.
- Developed innovative solutions for complex data problems, resulting in significant improvements to model accuracy and efficiency.
- Developed an optimization tool for a Convolutional Neural Networks (CNNs) based ML application, "Flower Counter" using a Deep Learning (DL) Hyperparameter Optimization Framework "Optuna"; improved overall performance.
- Automated Optuna-based experiments in Linux using Python, Bash, and SQL, improving efficiency and achieving 3x speedup by distributing training across multiple GPUs
Application Support Engineer 1
Accenture Solutions
05.2016 - 08.2018
- Diligently ensured the quality of the product by quality control methods
- Enhanced application performance by identifying and resolving technical issues in a timely manner.
- Reduced downtime for clients by swiftly addressing and troubleshooting software defects and bugs.
- Utilizing the knowledge of SDLC, STLC, testing methodologies, have created test plans, and created automated test cases for quality control and assurance
- Worked closely with client side, Business and Application Analysts for working on test priorities\
- Worked on severity 1 level defects for CPU usage, batch processes and memory usage, garbage collection analysis, sever capacity analysis
- Documented and created new knowledge base to provide information on new interfaces being added with the current system and documented the most effective solutions for production issue
- Designed and implemented an automated solution for alerting the support team via email and rebooting application on every occasion of a network glitch using shell script
- Proposed and automated a purging model for the cleaning up Linux disk filesystem monthly for files aged more than 30 days when the disk space reaches more than 90%
- Designed a series of proactive alerts for the ADF application in use and core merchandising application using Dynatrace and monitored alerts
- Developed business ready reports and dashboards based on requirement gathering and provided daily updates to onshore and offshore team which resulted in saving ~130hrs annually
Education
Master of Science in Computer Science -
University of Saskatchewan
SK, Canada12.2021
Bachelor of Information Technology -
KIIT University
Bhubaneshwar, India12.2016
Skills
- Python
- Linux
- SQL
- Linux/Bash scripting
- Software Debugging
- Client Relations
- Project Management
- Quality Assurance
- Performance Monitoring
- Software Installation
- System Integration
- Salesforce
- JIRA
- Confluence
Accomplishments
- Scholarship from University of Saskatchewan during 2018 to 2021.
- KIIT Academic Scholarship during 2012 to 2016.
Languages
English
Full Professional
French
Limited Working
Timeline
Product Support Engineer
Siemens Digital Industries Software
09.2021 - Current
Machine Learning Researcher
University of Saskatchewan
09.2018 - 12.2021
Application Support Engineer 1
Accenture Solutions
05.2016 - 08.2018
Master of Science in Computer Science -
University of Saskatchewan
Bachelor of Information Technology -
KIIT University
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