Anirban Ghosh

Senior Software Engineer

Bengaluru, Karnataka, India9 yrs 5 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in machine learning and AI-driven personalization.
Proven track record in developing scalable networking solutions.
Strong background in mentoring and team management.

Stackforce AI infers this person is a SaaS and Networking expert with a strong focus on machine learning and AI.

Contact

anighosh@linkedin.com LinkedIn

Skills

Core Skills

Machine LearningArtificial Intelligence (ai)Software DesignNetworkingData Science

Other Skills

AI AgentsAlgorithmsApache KafkaApache SparkArtificial Neural NetworksAzureBig DataCC (Programming Language)C++CoachingComputer ScienceDBMSData AnalysisData Mining

About

As a Senior Software Engineer at LinkedIn, I leverage my expertise in machine learning to drive impactful personalization and product experiences across various verticals. Skilled in building ML models in the areas of Large Language Models, Agentic experiences, Neural Networks, Multi Layer Perceptron models and Transformers.

Experience

9 yrs 5 mos

Total Experience

4 yrs 8 mos

Average Tenure

6 yrs 3 mos

Current Experience

2 roles

Senior Software Engineer, Machine Learning

Promoted

Apr 2022 – Present · 4 yrs 2 mos

1. LinkedIn Hiring Assistant
Building agents for the LinkedIn Recruiter product, making hiring seamless through agents.
2. Flagship AI Personalization.
Push Notifications Copy Personalization - Modeling user preferences of notifications copy and driving impact through personalization.
Building next-gen Features and Embeddings for Machine Learning models, driving differentiating product experiences across verticals at LinkedIn.
3. Groups AI.
Groups Discovery and Recommendations Models
4. Productive Machine Learning (ProML) - Health Assurance (HA).
Model Anomaly Detection
Model Health Assurance on Azure

Large Language Model Operations (LLMOps)LanggraphLangChainArtificial Neural NetworksAI AgentsLarge Language Models (LLM)+47

Software Engineer, AI Platform

Mar 2020 – Apr 2022 · 2 yrs 1 mo

Productive Machine Learning (ProML) at LinkedIn.
Model System Performance Validation
Model and Data Analyzers
Metrics Aggregation Systems
Model Health Assurance on Azure

Machine LearningData AnalysisMetrics Aggregation Systems

Arista networks

Software Engineer

Jul 2016 – Sep 2019 · 3 yrs 2 mos · Bengaluru Area, India

Developer in the Platform team, designing software for Layer 3 forwarding features in networking switches for high-end data-centres and cloud computing environment. Responsible for software design, review, testing, maintenance, handling escalations and mentoring new-hires.
Involved in major product releases' management in Q4'17 and Q1'19, taking care of release stability, product enhancements, feature tracking and bug priority management.
Tomahawk 3 Route Scale
Developed longest prefix matching algorithms to support Internet-scale routes on Tomahawk3 platform, supporting 400Gbps Ethernet speed.
Route scale on Tomahawk3 platform brought to 770,000 routes, 47% greater than previous platforms. Supported route-churn to the order of 10,000 routes per second with zero traffic loss.
Directly involved with the customers on successfully finishing multiple Proof-of-Concepts for their data centers and eventual product deployment.
DirectFlow
Worked in a team of 2 to bringup DirectFlow on newer platforms. The features helped to achieve several control rules on various flow attributes, including Vlan, Port and MAC.
Upgraded the features for support over Link Aggregation Channels and Virtual Interfaces. Improved modularity to support newer platforms with minimal changes.
Unicast Reverse Path Forwarding
Developed the uRPF feature for newer Trident2Plus and Trident3 platforms. Key security feature to prevent spoofing of hosts and incoming connections.
Extended the feature to support metrics such as counters, as well as support for different forwarding modes and route-scales.

Software DesignNetworkingAlgorithms

Max planck institute for informatics

Visiting Research Fellow

Jan 2016 – Jun 2016 · 5 mos · Saarbrücken, Saarland, Germany

Researched and developed parallel and scalable algorithms for large scale Boolean Matrix Factorization with Dr. Pauli Miettinen at Databases and Information Systems lab.
Proposed algorithm finds latent factors of matrices using boolean algebra and scales using MapReduce paradigms over distributed cluster frameworks. Tested on SNAP and NSF datasets, factorizing matrices of the order of a million with 80-90% precision.

Parallel AlgorithmsMapReduceData Science

Arista networks

Software Engineering Intern

May 2015 – Jul 2015 · 2 mos · Bengaluru Area, India

Worked on adding a new feature of Port Mirroring support for Link Aggregation Channels as Mirror Destination for Arista's networking switches.
Involved in a complete cycle of project planning, discussion, implementation, testing and deployment over an intensive 2 month period.
Successfully completed the internship and was offered a full-time role with the company as a Pre-Placement Offer.

NetworkingProject Management

Iiitdm kancheepuram

Research Intern

May 2014 – Jun 2014 · 1 mo · Kancheepuram, Chennai, India

Involved with a project on Data Mining under Prof. B Sivaselvan as a research Intern.
The project focused on using Frequent Pattern Mining in Huffman Encoding. Worked on the compression aspect of Data Mining, using pattern mining algorithms to achieve efficient text compression.

Data MiningPattern MiningData Science