Jul 2024 – Jul 2025 · 1 yr · Hyderabad, Telangana, India · On-site

Dec 2022 – Jun 2024 · 1 yr 6 mos · Hyderabad, Telangana, India · On-site

Apr 2022 – Dec 2022 · 8 mos

• 1) Bulk Ingestion/Egestion platform: Achieved graceful processing of bulk use-
• cases (uploads/downloads), thereby shielding data service from unregulated traffic and allowing
• seamless client on-boarding by the introduction of bulk processing layer between upstream back-
• end services and data service.
• 2) Test Automation: Enhanced testing mechanism which required repetitive testing
• steps and multiple process hops by introducing change auto-propagation based on test reports,
• thereby bringing down change marketing time by 70% by iteratively implementing manual test
• recording/generation/re-use and test-suite generation/tagging/execution.

Sep 2019 – Mar 2022 · 2 yrs 6 mos

• 1) Change Stakeholder-ship Model: Devised and enabled stakeholder-ship (exten-
• sible to ownership) of data such that for a given change, system can determine stakeholders for
• approvals/notifications by providing stakeholders ability to create expression which are evaluated
• against ongoing changes followed by approval/notification generation.
• 2) Dynamic Configuration Roll-out: Provided feature to fast-tune the impact of
• change, allowing testing to be done with minimal customer impact which can be quickly reduced
• to zero during outage by periodically generating change tuning values as requested by tuner.
• 3) Search Configurations: Provided search functionality for existing business configurations,
• thereby allowing users to manage/order/find them using known metadata by applying chain of
• responsibility pattern on configuration metadata database indexes.
• 4) Change Management/Propagation Service: Created a service responsible for
• managing the state (validation/approval/deployment) of business changes.
• 5) Helper Scripts Service: Reduced manual and repetitive on-call efforts for typical ad
• hoc business use-cases Invocation of multiple APIs (single/bulk) along with some business logic by
• creating and hosting helper scripts service.

Feb 2019 – Aug 2019 · 6 mos

• 1) Cache Refresh Optimisation: Reduced data configuration size from 1.3 million to 0.1
• million at write plane, thereby reducing cache reloading time at read plane by 23% by grouping
• similar data using anagram hashing technique.
• 2) One Click Info Fetcher: Enhanced usability of business configuration tool which required
• multiple time consuming hops to make informed decision by refactoring data models and API
• structure along with the front-end tool and thus gathering the required details with a single click

Jun 2018 – Jul 2018 · 1 mo · Pune Area, India

• Transaction Analyser: Generated/analyzed reports on fraudulent credit card transactions by writing python scripts based on anomaly detection algorithms.