Mar 2023 – Nov 2025 · 2 yrs 8 mos · Toronto, Ontario, Canada · Remote

• Supported product development lifecycle through documentation, feature development and system enhancement.
• Enhanced product intelligence by developing an LLM powered model generator, integrating OpenAI models to deliver intelligent suggestions, real-time feedback, and adaptive error correction enhancing user experience.
• Built a proof-of-concept AI-enabled web automation tool utilizing agent-based self-reflection to visually interpret user interfaces and autonomously execute workflow using natural language.
• Contributing to ITEA-funded I2DT international project on intelligent interoperable digital twins. Designed and proposed reference architecture for interoperability framework. Responsibilities included system analysis and data fusion. ML integration.
• Improved internal document discovery and comprehension by developing a smart AI summarization and Q&A agent using OpenAI for accurate context-aware answers and insights.
• Streamlined test performance tracking by designing a Power BI dashboard connected to Snowflake which provided real-time analysis, historical trends, and executive-level reporting to QA and engineering stakeholders.
• Assisted in technical documentation and submission of SR&ED filings for AI-based R&D activities and international collaborative efforts to secure innovation funding support through CRA-compliant claims.

Nov 2018 – Mar 2023 · 4 yrs 4 mos · Greater Toronto Area, Canada

• Lead developer for R&D and POC solutions including AI dataset generation, variability modeling, and performance testing tools.
• Developed automation system for robotics testing and validation using ROS (python and C++), Unity3D, and Gazebo. Used procedural generation, model-based testing and variance-based scenario simulation for safety-focused testing approach (HARA).
• Engineered a no-code automated testing and execution tool leveraging combinatorial analysis and intelligent test-case generation to significantly accelerating insurance QA workflows and improving coverage.
• Co-developed automotive testing tool for autonomous vehicles and HiL systems for real-time system simulation and testing in collaboration with ACE and NRC.
• Contributed to international ITEA-funded XIVT initiative on configurable systems and testing methodologies. Collaborated with global partners to develop scalable tools and processes for more efficient testing of highly configurable and variant-rich products.
• Built route planning solutions for intelligent testing and designed algorithmic path optimization tools. Simulated dynamic, real-world navigation scenarios for testing autonomous vehicles and systems.
• Developed AI dataset generation pipelines and variability modeling tools by using custom algorithms, FEA analysis tools and structured data generation to support robust training and testing of AI/ML systems.
• Developed test-focused applications for business clients by creating tools supporting AI training, map variance detection, and route planning using MATLAB, Simulink, and proprietary modeling techniques
• Contributed to SR&ED initiatives and supporting R&D efforts by preparing comprehensive technical documentation and collaborating with finance and legal teams to ensure full compliance with CRA guidelines resulting in successful tax credit recovery.

Sep 2016 – Dec 2017 · 1 yr 3 mos · Ghāziābād Area, India

• Automated business processes and improving operational efficiency. Revised workflows and streamline database management.
• Cross-communicated with unit managers throughout the organization and prepared recommendation proposals to revise methods and troubleshoot organizational issues.

Jan 2015 – Jun 2016 · 1 yr 5 mos · Greater Delhi Area

• Designed and programmed software modules for fleet operation using C++ STL Boost Libraries, and DDS middleware.
• Conducted integration and post-production operations at Bharat Electronics Limited.

Dec 2013 – Dec 2014 · 1 yr · Gurugram, Haryana, India

• Improved auto-trading systems using C++ IPC in Linux, back-testing strategies with TA-Lib.
• Created a pattern recognition algorithm in Python to optimize trade signal entry points.