Mar 2025 – Present · 1 yr

Mar 2024 – Jun 2024 · 3 mos · Pune, Maharashtra, India · On-site

• Strategized platform migration of 2+ applications, across 3 continents, to Open source clusters, cost reduction by at least 50%
• Practiced AGILE methodology, scrum master for 5 sprints, throughput increased 40%, spillovers decreased 25%

Aug 2022 – Mar 2024 · 1 yr 7 mos · Pune, Maharashtra, India · On-site

• Conceived live tracking system with DB side integration, averted breaches in 2Mn+ derivative trades, reduced manual work by 50% and improved response times by 40%.
• Automated batch execution of 1K+ SQL queries in daily 10+ P&L report generation, 2K+ manhours saved annually
• Automated CI/CD pipelines for 3+ applications, reduced deployment times by 60%
• Built 3+ scalable apps, tracked 50+ risk reporting metrics for daily trades by 100+ HNIs

Jan 2022 – Jun 2022 · 5 mos · Bengaluru, Karnataka, India

• Awarded PPO
• Designed CORE dashboard for tracking KPIs and metrics evaluating 10+ risk controls,
• Performed NFBM data reconciliation by designing Alteryx workflows, identified compliance breaches

Sep 2019 – Dec 2021 · 2 yrs 3 mos

Jul 2019 – Sep 2019 · 2 mos

• Machine Learning Internship in which I had to write an article on Medium regarding Application of ML for social good (post on LinkedIn), apply ML algorithms on known datasets like the Fruits-360 dataset as well making pull requests via GitBash to push code into the AITS internShowcase repository. This was followed by a detailed report on the algorithm, adhering to the IEEE format and presenting my works through a PowerPoint presentation.

Jul 2019 – Sep 2019 · 2 mos

Jan 2019 – Mar 2019 · 2 mos

• Built a Digit Recognizer using the concepts of Machine Learning and CNN.