Ritesh Pallod profile photo 1 on Tal

Ritesh Pallod

Senior Staff MLE at Glance

Bengaluru
Hiring

SDE 3, Machine Learning

Glance

Glance logo

Join Glance as a Senior Software Engineer to build and scale generative AI commerce platforms that power intelligent, connected shopping experiences.

Kadubeesanahalli, Bengaluru

₹55–70 LPA

CTC

5–7 years

Exp

About Ritesh

Glance
Jan 20251 yr 9 mosPresent

Scaling AI Shopping for millions
Glance
Jan 20241 yrDec 2024

Building upon my work on Content Generation & still building react apps to facilitate automation of workflows. AIGC work is backed by heavy analytics & prediction models to do better at click through rate & timespent. On the side working on Infra Cost Optimization initiatives that improve ML inference latencies & throughput & reducing our experiment costs
Glance
Jan 20213 yrsDec 2023

Bengaluru, Karnataka, India

Part of the team building an ML Platform on top of GCP. Productionizing GANs, recommendation systems at scale, building ML based internal tools end to end & doing SQL in spare time. We got our serving infra to do 10 million predictions per second, 80k QPS within 250 p99 ms. With advent of Gen AI, I transitioned into a role where I am working on identifying & implementing the AI breakthroughs happening in the world and converting them to new business usecases & internal productivity tools. Content Generation, Image Generation, "Docubot" (chatting with internal docs), lip syncing digital avatars - are some of the tech had a role to play in. All these work pieces have resulted into a track - AIGC that is aimed at providing hyperpersonalized content generated via AI for the end user.
InMobi
Jun 20181 yr 2 mosJul 2019

Bangalore

Work includes contributing to user feature stores that house features for billions of users, building feature engineering pipelines for recommendation models, building user scoring model, managing and optimizing the DS Platform (Mesos + JupyterHub Setup) to cope up with the heavy resource consumption requirements from the Data Sciences & Product teams.
BMC Software
Jul 20171 yrJun 2018

Pune, Maharashtra, India

Developed an ETL tool for fast retrieval of large data sets and data aggregation. This project was aimed at extracting millions of records from a data-warehouse, performing aggregation functions on it and providing a consolidated, processed result; exempting the client the overhead of processing individual data from the source.

Education

Pune Institute of Computer Technology

Bachelor of Engineering - BE, Computer Engineering

Pune Institute of Computer Technology

20144 yrs2018

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Ritesh Pallod on Tal

Headline

Senior Staff MLE at Glance

About

An engineer, experienced in building & deploying ML models at scale, creating AI driven applications end to end & platforms. My work is a mix of ml, platforms, backend, creating excel sheets, documents & JIRAs. I line my work tracks with overall business objectives (revenue, engagement) and try to tackle it with clinical precision while also donning different hats traditionally worn by Product, Program Managers. In my spare time, I read books, think things. What I may lack in years of experience, I gain in hard work, sincerity & passion for work. Here's the space I write about things & stuff - https://badpallod.substack.com/

Location

Bengaluru

Work experience

Senior Staff Machine Learning Engineer, AI at Glance, Jan 2025 - Present · 1 yr 9 mos, Scaling AI Shopping for millions

Staff Machine Learning Engineer, AI at Glance, Jan 2024 - Dec 2024 · 1 yr, Building upon my work on Content Generation & still building react apps to facilitate automation of workflows. AIGC work is backed by heavy analytics & prediction models to do better at click through rate & timespent. On the side working on Infra Cost Optimization initiatives that improve ML inference latencies & throughput & reducing our experiment costs

Machine Learning Engineer 3, ML Platforms & AI at Glance, Jan 2021 - Dec 2023 · 3 yrs, Bengaluru, Karnataka, India, Part of the team building an ML Platform on top of GCP. Productionizing GANs, recommendation systems at scale, building ML based internal tools end to end & doing SQL in spare time. We got our serving infra to do 10 million predictions per second, 80k QPS within 250 p99 ms. With advent of Gen AI, I transitioned into a role where I am working on identifying & implementing the AI breakthroughs happening in the world and converting them to new business usecases & internal productivity tools. Content Generation, Image Generation, "Docubot" (chatting with internal docs), lip syncing digital avatars - are some of the tech had a role to play in. All these work pieces have resulted into a track - AIGC that is aimed at providing hyperpersonalized content generated via AI for the end user.

Data Engineer 1 at InMobi, Jun 2018 - Jul 2019 · 1 yr 2 mos, Bangalore, Work includes contributing to user feature stores that house features for billions of users, building feature engineering pipelines for recommendation models, building user scoring model, managing and optimizing the DS Platform (Mesos + JupyterHub Setup) to cope up with the heavy resource consumption requirements from the Data Sciences & Product teams.

Intern at BMC Software, Jul 2017 - Jun 2018 · 1 yr, Pune, Maharashtra, India, Developed an ETL tool for fast retrieval of large data sets and data aggregation. This project was aimed at extracting millions of records from a data-warehouse, performing aggregation functions on it and providing a consolidated, processed result; exempting the client the overhead of processing individual data from the source.

Education

Bachelor of Engineering - BE, Computer Engineering, Pune Institute of Computer Technology