Vishesh Narendra Pamadi Research Profile

About

Vishesh Pamadi is a seasoned Siri Software Engineer at Apple, based in Cupertino, California. He holds a Master’s Degree in Electrical and Computer Engineering from Georgia Institute of Technology and a Bachelor’s Degree in Electronics and Communications Engineering from Vellore Institute of Technology. At Apple, Vishesh focuses on enhancing Siri's speed, intelligence, and efficiency. His experience includes roles as a Graduate Research Assistant, where he worked on cloud infrastructure, and as a Software Engineering Intern at Red Hat. He has also contributed to research on gesture control automation and indoor localization, showcasing his expertise in advanced technologies and software engineering.

Skills

Experience

Siri Software Engineer

Apple

Jul-2018 to Present

Education

Georgia Institute of Technology

M.SC in Computer Systems and Software

Passout Year: 2018

Publication

Research Article

Vishesh Narendra Pamadi

August, 2015

Intelligent Gesture Controlled Automation

Journal : IJAER - International Journal of Applied Engineering Research

The project focuses on simplifying various tasks by enabling individuals to control appliances in their surroundings wirelessly by using simple hand gestures. An alternative to pushing bu...

Peer-Reviewed Articles

A METHOD FOR ENDPOINT AWARE INSPECTION IN A NETWORK SECURITY SOLUTION

Due to the flood in remote work after the episode of Covid, network security has gained a giant fixation. The issue of mixed-up audit decisions in network security plans has for quite a while been reprimanded, but the meaning of the decision precision has never been overall around as critical as today. In this paper we offer a response for additional fostering the assessment decision accuracy by deciding a method for endpoint careful survey in an association security plan prepared for performing significant package examination. The method utilizes a subset of the protected association to gather hash fingerprints from the endpoint application network traffic plans. The information collected from this subset is then utilized for procuring endpoint care for the rest of the protected organization. We use strategies that work on the application layer of the show stack. This makes the strategy fitting not only for neighborhood executions, as NGFWs and IPSs, yet also for SaaS and SASE game plans. The methodology is, regardless, conveniently utilized with lower layer information, for instance, association and transport layer information, for working system care too. We similarly present a proof-of-thought context-oriented examination where that is the thing we see, of the relevant association affiliations, 100% could be recognized while the functioning system and endpoint application were accessible in the source pack. All things considered, this is the primary method to redesign the assessment cycle accuracy by using a subset of the protected association to secure endpoint care.

Projects

Nov-2016 to Present

Multi-threaded User-Store-Vendor Interface using Distributed Services

Built a multi-threaded store in a distributed service using asynchronous RPC packages. The store receives requests from different users and queries the prices for the request offered by registered vendors. On each product query, the store server requests all of these vendor servers for their bid on the queried product. Once the store has responses from all the vendors, it collates the (bid, vendor_id) from the vendors and sends it back to the requesting client. gRPC was used as the communication mechanism and Protobuf is used to construct messages to be sent across the network.