Rushikesh Amale

Pune

As an R&D DevSecOps Software Engineering Specialist, I approach complex challenges with a blend of creativity and determination, always striving for mastery in my field. My ambition drives me to continuously innovate and build robust solutions, while my resilience ensures I overcome obstacles and deliver impactful results.

Experience

D

R&D DevSecOps Software Engineering Specialist

Dassault Systèmes · Oct 2022 – Present

Not yet confirmed

• Spearheaded development of NinjaOps, an ML-powered self-healing incident management platform, reducing manual intervention by 95%.
• Worked on GenAI workflows leveraging LLMs, FastAPI, MCP, and retrieval-based architectures to support contextual incident investigation and AI-assisted operational processes.
• Redesigned the platform for scalability and enhanced ML model performance, improving prediction accuracy by 40%.
• Engineered an ML-driven system for automated problem tagging and real-time reporting, cutting manual analysis effort by 60-70%.
• Accelerated incident recovery by 20x by optimising ML training pipelines, automating data ingestion, feature extraction, and contextual data attachment.
• Designed & implemented intelligent escalation workflows and outage notification systems using decision-management logic and flapping alert detection.
• Optimised database architecture through schema redesign and indexing, improving query performance by 3-5x and reducing database load by 50%+ by migrating SQL procedures to Python services.
• Transformed batch-processing workflows into reusable Flask REST APIs, eliminating 50% duplicate logic and enabling real-time execution.
• Instituted automated monitoring and self-healing restart mechanisms, achieving 100% service uptime with zero critical production incidents.
• Led infrastructure migration from CentOS to Red Hat, streamlining deployment pipelines.

E

Full Stack Developer

EduBrite Systems Inc. (Mannara Technologies Pvt. Ltd.) · Jan 2022 – Oct 2022

Not yet confirmed

• Enhanced performance and stability of the EduBrite Learning Management System, resolving backend inefficiencies and critical frontend issues.
• Developed and optimised core LMS functionalities across both user-facing interfaces and backend services.
• Diagnosed and resolved production-critical defects, significantly reducing system downtime and support tickets.
• Contributed to platform scalability supporting professional training institutes and enterprise users.
• EduBrite was acquired by LinkedIn in Oct 2022, highlighting the platform's strong market adoption.

Full Stack Developer

EduBrite Systems, Inc. · Jan 2022 – Oct 2022

Not yet confirmed

• As a Full Stack Developer, I enhanced the performance and stability of the EduBrite Learning Management System by resolving backend inefficiencies and critical frontend issues.
• I developed and optimized core functionalities across user-facing interfaces and backend services, significantly reducing system downtime and support tickets.
• My contributions supported the platform's scalability, which was crucial for its acquisition by LinkedIn.
• Achievements:
• - Resolved critical frontend issues, enhancing system stability.
• - Contributed to platform scalability.

Assistant System Engineer Trainee

Tata Consultancy Services · Oct 2020 – Jan 2022

Not yet confirmed

• In this role, I developed Python-based automation solutions for the Jaguar Land Rover Business Intelligence unit, streamlining complex data processing workflows.
• I optimized file processing pipelines, which reduced manual effort significantly.
• Additionally, I designed and maintained BigQuery views to support enterprise-scale analytics, improving the performance and reliability of Google Cloud Functions.
• Achievements:
• - Streamlined data processing workflows, saving 15–20 minutes per file.
• - Enhanced system efficiency through improved Google Cloud Functions performance.

Assistant System Engineer (Software Developer)

Tata Consultancy Services · Oct 2020 – Jan 2022

Not yet confirmed

• Developed Python-based automation solutions within the Jaguar Land Rover Business Intelligence unit, streamlining complex data processing workflows.
• Optimised file processing pipelines, reducing manual effort and saving 15-20 minutes per file.
• Designed and maintained BigQuery views and scheduled queries to support enterprise-scale analytics.
• Improved performance and reliability of Google Cloud Functions, enhancing system efficiency.

P

Software Developer Intern

Pravara Infotech Pvt. Ltd. · Sep 2019 – Oct 2020

Not yet confirmed

• Designed and deployed an online competition management portal for UNESCO School Clubs Maharashtra.
• Developed backend automation for KharediKhat, enabling automated generation of complex legal documentation.
• Built dynamic websites and Python-based automation scripts with integrated payment gateway functionality.

P

Software Engineer Intern

Pravara Infotech Pvt. Ltd. · Sep 2019 – Oct 2020

Not yet confirmed

• During my internship, I designed and deployed an online competition management portal for UNESCO School Clubs Maharashtra.
• I developed backend automation for KharediKhat, enabling the automated generation of complex legal documentation.
• My work also included building dynamic websites and Python-based automation scripts with integrated payment gateway functionality.
• Achievements:
• - Successfully deployed an online competition management portal.
• - Developed backend automation that streamlined legal documentation processes.