Sep 2023 – Aug 2024 · 11 mos

• Leading Database Monitoring (DBMON) team.
• Accomplishments as Team Leader:
• HANA Database Support, Led the team through extensive discussions during the design and implementation phases, successfully integrating support for the new HANA database type.
• Agent/Fleet Management, Guided the team through the design and implementation of agent and fleet management features, fostering cross-team collaboration and dialogue throughout the process.
• Performance Optimization: Addressed and resolved performance issues for one of the largest customers, specifically targeting database domain page loading issues that were causing 504 gateway timeouts, and contributed to resolving additional issues for the same customer.
• Database Monitoring Expertise: Established as the go-to expert for triaging and resolving database monitoring issues for customers, demonstrating strong problem-solving skills.
• Accomplishments as Team Member:
• Metric Browser Tree Construction: Overhauled the Metric Browser tree construction logic to utilize a new Metric Hierarchy, achieving a 95% reduction in tree loading latency by incorporating collector level metric filtering.
• Performance Improvements: Significantly enhanced performance across various database monitoring backend APIs, achieving a reduction in page loading latency by over 99% through optimized Role-Based Access Control (RBAC) calls.
• Custom Events Workflow: Developed backend workflow APIs, the Data Access Object (DAO) layer, and the schema layer for the Custom Events feature
• Database Agent Fleet Management: Implemented backend APIs for Agent management within the database domain, including the addition of pagination and filtering support.
• Issue Triage and Customer Engagement: Managed numerous triage issues, including database monitoring (DBMON) and pre-escalation (PRE) situations, and actively engaged with customers during calls to address and resolve their specific concerns.
• https://www.tdcommons.org/dpubs_series/7120/

May 2021 – Oct 2023 · 2 yrs 5 mos

• DataStore Observability (DSO)
• Led a team to design and develop a collector on top of OpenTelemetry Collector which collects telemetry data from different databases and reports it in OTLP format.
• Data Modelling - For AppD cloud, came up with model keeping cloud correlation (cloud databases) in mind.
• Implemented the data model in schema
• Cross collaboration with several teams including architects in finalising the configs needed for DSO modelling
• Kubernetes Monitoring
• Led a team to design and develop the data model for AppD cloud and get it implemented in the schema.
• Added the feature for intra communication of different services using gRPC protocol.
• Add support for pipeline to collect metrics from APIServer and Kube State Metrics (KSM)
• Database Monitoring
• Led a team to remodel and implement the licensing logic for Database monitoring according to the new Licensing architecture used for Infrastructure monitoring.
• Wrote purgers to purge stale (Entities and metrics) data from the backend system.
• Add session information for running queries under query list and query details pages.
• Attend Customer Calls to know their pain points so as to fix their issues with the product.
• Created a POC using SQLCommentor to inject comments in the running SQL queries for
• APM-DBMON correlation.

Nov 2019 – Apr 2021 · 1 yr 5 mos

• Database Monitoring :-
• Improved support for Couchbase monitoring in Database Monitoring Agent.
• Improved the loading time of Metric Browser (by 30%) for Database application.
• Go to person for handling customer escalations.
• Platform (Alerting)
• Designed and implemented RESTful APIs using OpenApi to create Alerting configs (Health- Rules, Policies, Schedules, Actions).
• Design and implement Alerting Templates for Alerting configurations.
• Go to person for Engineering On-Call issues, got several awards to fix the business critical
• production systems.
• Hackathon Value Award: Designed and implemented an event correlation service to establish
• relationships between events from different sources.

Jul 2018 – Oct 2019 · 1 yr 3 mos

• Platform (Baselines)
• Improved the Baseline compute algorithm for temporal data.
• Hackathon Winner: Designed and implemented a POC for a Recurrent Neural Network
• (RNN) algorithm to calculate baseline data using time series parameters, integrating it with
• existing backend system for demonstration.
• Created a POC in python using ML to forecast baselines based on the hackathon ie a
• pipeline to incorporate different algorithms.

Jan 2015 – Jun 2018 · 3 yrs 5 mos · Noida Area, India

• Adobe Capture CC (iOS/Android) (July 2016 - June 2018)
• Designed and implemented Color Management in Capture App both for iOS and Android
• Added the functionality to capture Wide Color in iOS
• Designed and implemented the Analytics architecture in Adobe Capture both in iOS and Android
• Revamped the Sharing workflow in iOS
• Revamped the complete UI to spectrum guidelines of Capture app on both the platforms
• Adobe Gibson (Jan 2015 - June 2016)
• Part of a team where I worked on Server side Java based PDF library called Gibson. My responsibilities include feature development, current API enhancements and bug fixing.
• Few major work done:-
• Redesigned the logic for parsing embedded CMap table in font file.
• Implemented Fallback mechanism during PDFA conversion
• Improved the Text-Extraction and Redaction workflow for PDF.
• Fixed several performance issues(brought down memory usage of a huge PDF from 5GB to few hundred MB)

Jul 2013 – Dec 2014 · 1 yr 5 mos · Hyderabad Area, India

• ORACLE COMMUNICATION SOLUTIONS INTEGRATIONS (CSI) Aug 14 - Dec 14
• Worked in Oracle Communication Solutions Integrations (CSI) Team for past 4
• months in the capacity of a developer to integrate edge applications such as
• OSM, Siebel CRM, BRM.
• Used SOA suite and AIA Communications PIPS for performing the integration.
• ORACLE ORDER AND SERVICE MANAGEMENT (OSM) July 13 - July 14
• Worked with the IDC Architect to propose a new order ownership algorithm
• using Consistent Hashing based architecture, which reduces order shuffling
• between servers from 85-90% to 11-14%.
• Development and sustenance of OSM. This ERP caters to the needs of
• telecommunication giants all around the world by receiving, enriching,
• orchestrating, compensating and updating large telecom orders.
• Technologies used and concepts harnessed include – J2SE and J2EE, Design
• Patterns, Oracle Weblogic Server, Oracle Database, SOAP.

May 2012 – Jul 2012 · 2 mos · Bangalore

• Implemented using OpenCV library on Windows platform.
• The algorithm runs on traffic camera with 13 FPS frame rate and
• provides information about traffic density and average movement of
• vehicles.