Dhiraj D Shanbhag

AI Researcher

Bengaluru, Karnataka, India10 yrs experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in machine learning and data-driven solutions.
Proven track record in optimizing complex systems.
Strong foundation in software engineering and networking protocols.

Stackforce AI infers this person is a Data Scientist with expertise in Fintech and E-commerce solutions.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Machine LearningNetworking

Other Skills

Large Language Models (LLM)Core MLLinuxCGenerative AIRecommender SystemsData StructuresAlgorithmsDPDKRSVP-TEMPLSVxWorksOperating SystemsShell ScriptingC++

About

I am a engineer with a solid foundation in software engineering, advanced research in machine learning, and hands-on experience in data science. Software Engineer (2013–2018): Specialized in developing networking protocols, with expertise in OSPF, RSVP. Focused on creating efficient and reliable communication systems that are used in networking devices and data-centers. MTech, Computer Science and Automation (2018–2020): Graduated from the Indian Institute of Science (IISc), with research focused on machine learning @ Machine Learning Lab under Prof. Chiranjib Bhattacharyya. Data Scientist (2020–Present): Designed and deployed data-driven solutions for e-commerce and financial sectors, specializing in recommendation systems, last-mile delivery optimization, natural language processing (NLP), and leveraging large language models (LLMs) and Agentic AI to tackle complex business challenges. With expertise spanning software engineering, networking protocols, and cutting-edge machine learning techniques, I am passionate about solving complex problems, building scalable systems, and driving innovation at the intersection of data and technology.

Experience

Fidelity investments

2 roles

Senior Data Scientist / Machine learning Engineer

Jan 2026 – Present · 2 mos · Bengaluru, Karnataka, India

Data Scientist - AICOE

Sep 2022 – Feb 2026 · 3 yrs 5 mos · Bengaluru, Karnataka, India

Working on
Recommendation systems:
Recommendation of appropriate sessions to end-users based on their life-events, financial conditions to meet their learning requirements.
Generative AI:
Building a tool for business stakeholders to derive insights from surveys.
This project aims to reduce the time taken to analyse customer reviews manually.
We leverage LLM in the pipeline to extract themes in a map-reduce fashion.
With an RAG integration, this product enables stakeholders to get deeper insights with citations.
Aiming to reduce call handle times by automating post-call activities.
Used Quantization, Fine-tuning to get the required performance, latency for our product.

Large Language Models (LLM)Artificial Intelligence (AI)

Udaan.com

Data Scientist

Aug 2020 – Sep 2022 · 2 yrs 1 mo · Bengaluru, Karnataka, India

Projects@Udaan:
1. Logistics : Using Google-OR + ML to optimize last-mile delivery.
2. Explored approaches to replace LiDAR devices by monocular camera on warehouse robots.
As part of this, worked on depth prediction using RGB images from monocular camera.
3. Ads Serving: Working on CTR prediction, Targeting, Audience extension.
As part of this project used PyTorch big-graph to generate recommendations.

Core MLMachine Learning

Juniper networks

Software Engineer

Jan 2017 – Sep 2017 · 8 mos · Bengaluru, Karnataka, India

Worked on the Routing Daemon of the JUNOS product.
Worked on RSVP-TE, FRR, CSPF.

Ip infusion

2 roles

Senior Software Engineer

Promoted

Jul 2016 – Dec 2016 · 5 mos · Bengaluru, Karnataka, India

Was part of the team that developed the network routing software on ZebOS network operating system. ZebOS is the commercialized a version of the open source project Zebra OS.
Developed modules for MPLS, RSVP, RSVP-GR, and RSVP-HA-GR protocols.
Implementation of Diffserv traffic engineering (DS-TE) and Tunnel-infra, RSVP-TE, FRR features (RFC 2205, RFC 3209. RFC 3473, RFC 2961).
Prototyping for tunnel infrastructure on ZebOs.

LinuxCNetworking