- Fine-tuned AI LLM models through stress testing, evaluation & optimization, leveraging models such as Gemini(Bard), GPT-4 etc within a robust training pipeline- Implemented data pre & post-processing techniques using a golden dataset to ensure superior performance in developing software applications & data analysis- Established & optimized a generic model evaluation pipeline with a robust feedback mechanism, thriving in a dynamic & agile setting across multiple fast-paced projects

- Achieved a 5x acceleration for vulnerability detection & reporting by owning E2E automation encompassing feasibility study, prototyping, testing, integration with Nexpose, Layer7 & ServiceNow in a distributed system architecture & orchestrated deployment via Jenkins CI/CD pipeline on Cloud Foundry - Conducted in-depth research & data mining to extract meaningful patterns & trends on 8,000+ servers, pinpointing backup failure & compliance issues. Identified decommissionable servers, yielding a 7% cost reduction- Collaborated with stakeholders to forecast operational costs during COVID by analyzing employee engagement statistics. Utilized a Random Forest ML model to optimize cost & achieve a cost accuracy rate of 91.4%- Improved data quality by building a custom API & cron job for IT asset renewals & expirations, improved client satisfaction by 11% for informed decision-making- Mentored 4 newly onboarded engineers, conducted knowledge transfer (KT) sessions & fostered a culture of collaborative pair programming- Recognized as a finalist for the ‘Global Technology Award - Brilliant at Basics' at Fidelity International Limited

- Partnered with engineering & product team to automate user identity management using Nexpose APIs for generating feed files for IAM portal, reducing daily data management time by 1 hour - Engineered a web app along with a data pipeline enhancing server backup data gathering & formatting for improved audits. Slashed data retrieval time by 19%. Implemented an Oracle DB for efficient data storage & access - Improved cross-departmental transparency through Python/SQL-based Power BI visualizations, resulting in a 43% reduction in production issues & optimizing operations & decision-making- Promoted extensive software testing (unit, integration, smoke, load) with a focus on Test-Driven Development (TDD), boosting developer productivity by 18%- Automated the summarization of service goals to document technology on Confluence & generate API Swagger in collaboration with data science & AI team- Analyzed web app performance metrics & user behavior, optimizing load time & reducing request queue issues by 13%

- Designed & developed a responsive and adaptive GUI for an existing desktop application for recruitment and ported it to mobile using JavaScript, HTML and CSS- Worked on incorporating enhancements and feature adds for a new workflow being added to the application using Java