Mar 2022 – Jan 2025 · 2 yrs 10 mos

• Successfully released the One Migrate-unified at-scale agentless discovery and assessment of SQL Server in Azure, achieving General Availability (GA).
• Expanded support for SQL discovery on Hyper-V and physical servers, addressing customer demand and completing SQL discovery coverage across all fabrics, including VMware, Hyper-V, and servers.
• Implemented a critical feature for SQL GA - HADR (FCI/AG) Discovery and Assessment End-to-End from Common Agent, SQL Agent, and SQL NuGet. This enhancement enables customers to utilize Azure Migrate for discovering, assessing, and receiving appropriate SKU recommendations for clustered instances and Availability Groups.
• Improved the SQL discovery and assessment agent's service-level agreement to 99.9%.
• Implemented Kerberos and token-based solutions for multi-credential scenarios on Linux and SQL Extensibility to support SQL agent on Linux.
• Improved the DMO extension of ADS with prerequisite validations, logging, code improvements, error handling, and support tabs.
• Optimized SQL login migrations by enabling public endpoints, monitoring, versioning, and prerequisite validations.
• Mentored an intern through a challenging SQL VM bulk validation project, significantly enhancing migration success rates by minimizing customer errors through proactive validation.

May 2021 – Mar 2022 · 10 mos

• Contributed significantly in building the team and lay the foundations of SQL modernization.
• Enhanced the performance of the SQL discovery and assessment agent integrated into customer appliances for Deep discovery of SQL server.
• Boosted the efficiency of SQL Server discovery by incorporating Create, Update, and Delete functionalities for SQL servers into Cosmos DB during the discovery process.
• Implemented support for Multi-port and Dynamic ports to improve overall SQL discovery.

Jun 2020 – May 2021 · 11 mos

Aug 2018 – Jun 2020 · 1 yr 10 mos

• 1) SDWAN ( Software-defined approach to managing the wide-area network.As a centralized, cloud-delivered WAN architecture, SD-WAN makes it easy to scale across thousands of endpoints, whether they are in the branch, campus, or cloud) .Worked on end to end implementation of SDWAN with CSR(cloud service router).
• 2) Integration of Umbrella(Cisco Umbrella Branch is a cloud-delivered security service for the ISR. It
• provides the first layer of defense against threats at branch offices. You gain visibility and
• enforcement at the DNS layer, so you can block requests to malicious domains and IPs before a
• connection is ever made) onboarding features with Vmanage,Vbond and Vsmart - the three main
• components on SDWAN implementation.
• 3) Identity POC - Successful in getting the mapping of IP address to username and eventually the
• usergroups. Got familiar with workings of Microsoft's Active Directory server as part of it.
• 4) DSA (Dns snooping agent) - Implemented a feature to enhance DSA to support more clients
• including wlc clients.
• 5) SKS-Client (Secure Key Server) - Implemented the Client for the Secure Key Server. A secure key server is a computer that receives and then serves existing cryptographic keys to users or other programs. Different features can get keys ,capabilities from the server through the implemented client securely.
• 6) TLS-GW Simulator - Implemented the entire code for the TLS-Client Simulator , where only 1 computer is enough to simulate behavior of 10000 clients and is able to create 10000 tunnels to the gateway ,where each tunnel belongs to a particular client. This was possible using the concept called Linux namespaces , which acts a VRF's in a router. Each namespace represents a new client able to create tunnel to the gateway resulting in a new session.
• 7) TpS(Trustpoint Share) bundle infra feature - more details in project section.

Jan 2018 – Jul 2018 · 6 mos

• PART-I:  PERFORMANCE IMPROVEMENT OF POINT TO POINT PROTOCOL OVER ETHERNET(PPPOE) CLIENT EMULATION ON ASR1000 ROUTER
• Fine-tuned the PPPoE emulation module, which helps in generating PPPoE control packets at the much faster rate, which eventually improves the Calls per second(CPS) at higher number of sessions.
• PART-II:  HOSTING TREX AS A CONTAINER ON ISR4K ROUTER FOR PPP SESSIONS
• A realistic Traffic Generator (TRex) is ran as a container over ISR4k router, which can be used to send the PPPoE sessions traffic through TRex inside the container on ISR4k router, thus acting as a virtual Traffic Generator, instead of relying on third party expensive traffic generators like Spirent & Ixia, as being used by Cisco for generating traffic over router

May 2017 – Jul 2017 · 2 mos · Bengaluru Area, India

• DIGITAL ASSISTANT USING ARTIFICIAL INTELLIGENCE & MACHINE LEARNING
• Delightful and natural conversational experiences for users using the digital
• assistant.
• Performed research activities related to AI, built CHATBOT prototypes for
• various sectors using API.AI and deployed them on various platforms such as
• FACEBOOK MESSENGER etc. Developed a web based interface for the same
• and performed analytics on it.

Jun 2016 – Jul 2018 · 2 yrs 1 mo · Pes Uninversity,Bangaore

• Project : Big Data Benchmarking under Dr. K.V.Subramaniam
• The project was based on analyzing the system performance Using big data bench as
• a tool using platforms such as Hadoop, Hive and Spark to run the workloads on
• these platforms and analyze how different platforms respond to each workload.

Jun 2015 – Aug 2015 · 2 mos · Pes University,Bangalore

• Member Technical Staff
• IMAGE PROCESSING – FACIAL RECOGNITION - under Prof. Nitin.V.Pujari
• Detection and retrieval of individual faces from a photograph using OpenCV
• ,coupled with training of haarcascades to improve image and PATTERN
• RECOGNITION