Raunak Kalani

AI Researcher

Bengaluru, Karnataka, India8 yrs 4 mos experience

Highly Stable

Key Highlights

Expert in developing Large Language Models.
Led successful click prediction models at Microsoft.
Strong background in data analysis and machine learning.

Stackforce AI infers this person is a Data Scientist specializing in Machine Learning and Advertising technologies.

Contact

rkalani@nvidia.com LinkedIn

Skills

Core Skills

Large Language Models (llm)Machine LearningFpga ImplementationData Access

Other Skills

AdvertisingBig DataCC++CUDACaffeDeep NetworksInformation RetrievalMLOpsNLPNodeJSPig ScriptPythonRecommender SystemsReinforcement Learning

About

Experienced Data Scientist with a demonstrated history of working in the computer software industry. Skilled in Python, Statistical Data Analysis, C++, TensorFlow, and Matlab. Strong Computer Science professional with a Dual Degree (B.Tech(Hons.) + M.Tech) focused in Electrical Engineering from Indian Institute of Technology, Madras.

Experience

Nvidia

Senior Applied Scientist

Sep 2023 – Present · 2 yrs 6 mos · Bengaluru, Karnataka, India · On-site

Working as Sr. Deep Learning Scientist in the NeMo team to develop Large Language Models (LLMs)

Large Language Models (LLM)Information Retrieval

Microsoft

Data & Applied Scientist

Jul 2018 – Aug 2023 · 5 yrs 1 mo · Bengaluru, Karnataka, India

Microsoft Advertising click Prediction team
Part of team serving ads in 120+ countries, to model Click-Through-Rate and Conversion Rate using NLP and historical user and advertiser data to train deep networks for Bing Ads.
Led the modelling efforts for setting advertiser bids based on time spent by user on ad landing page.
Undertook design & training of model for prediction of advertiser ROI which is used for target-ROAS
bid strategy in Bing Ads, resulting in daily $4M+ revenue from advertiser adoption of Bing Ads.
Led effort to globalize the conversion and good click prediction models resulting in quick on-boarding of new markets without encountering cold start problems. Resulted in AUC improvement of 1.5 − 2% in existing markets.

Machine LearningRecommender Systems

Indian institute of technology, madras

Teaching Assistant

Aug 2017 – May 2018 · 9 mos · Greater Chennai Area

Ibm

Intern (Extreme Blue)

Jun 2017 – Aug 2017 · 2 mos · Bengaluru, Karnataka, India

FPGA implementation of Elliptic Curve Cryptography (ECC) scalar multiplication in Verilog and Python. Implementation helped optimize space and hardware requirements

Paypal

Intern

May 2016 – Jul 2016 · 2 mos · Bengaluru, Karnataka, India

Wrote a wrapper around logging service for easy data access in understandable format by the developers. Python, Pig Script for data retrieval from Hadoop Servers and NodeJS for backend server