Sajan Kedia

Director of Engineering

Bengaluru, Karnataka, India12 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Led ML platform deployment for high throughput.
Published research papers in KDD.
Patent holder in personalized discount generation.

Stackforce AI infers this person is a Data Science and Machine Learning expert in E-commerce and AdTech industries.

Contact

sajankedia@gmail.com LinkedIn

Skills

Core Skills

Machine LearningData ScienceBig Data

Other Skills

AdTechAerospikeAlgorithmsAmazon Web Services (AWS)AnalyticsApache KafkaApache SparkArtificial Neural NetworksBig Data AnalyticsCC++CTR PredictionCore JavaData StructuresDeep Learning

About

I’m working on Machine Learning, Big Data, Data Science, and AI. Published couple of Research Papers in KDD. Patent in US & India on topic “Personalized Discount Generation System & Method” In Myntra was leading the ML Platform team to deploy complex Deep Learning Models in Prod for Huge Throughput & low latency. Also building Online Feature Store for complex User, Product Embeddings feature sets. Also worked on multiple key Data Science Projects: Return Prediction & RTO Reduction Pricing (Portfolio & Personalized) Home Page Personalization. Intent Scoring Model. MediaIQ worked on AdTech problems: CTR Prediction on RTB data. Trained model on ~30-40 TB of Ads auctions RTB data. IBM Research Labs was part of the Big Data Analytics Team, working on Social media modeling on streaming data. P.S. View, Opinions, post anything expressed on any social media(Linkedin, FB, Twitter, etc) are my personal opinions & don't represent my company or employer's opinion or view in any form.

Experience

Jiohotstar

Senior Director of Engineering

Nov 2025 – Present · 4 mos · Bangalore Urban, Karnataka, India

Disney+ hotstar

Senior Engineering Manager

Jun 2022 – Present · 3 yrs 9 mos · Bengaluru, Karnataka, India

AdTech at Hotstar.

Maxtap

Co-Founder

Jul 2021 – Jun 2022 · 11 mos · Bangalore Urban, Karnataka, India

Upgrad

Visiting Faculty UpGrad

Jan 2018 – Dec 2021 · 3 yrs 11 mos · Bangalore Urban, Karnataka, India

Taking Courses on Data Science, Big Data, Machine Learning, AI.

Myntra

[Team Lead] Machine Learning Engineer

Sep 2017 – Jan 2022 · 4 yrs 4 mos · Bangalore

Tech Lead for Machine Learning Platform: Leading the entire ML Platform for deploying complex ML models for Huge Throughput & Low Latency. Ex: Recommendations, Feed Ranking, Personalization.
Online Feature Store using Aerospike: Fetching user, product features in real time with low latency was solved using Aerospike & built our own Feature Store.
Return Prediction: Get probability of returns in real-time at the cart page. Multiple actions i.e. more delivery charge, No COD, return to myntra wallet only, etc.
Home Page Personalization: personalize home page widget for all users. Built user & widget embeddings.
Pricing Model: Get optimal discounts for all the products. Demand Prediction Model. Price Elasticity of demand. Linear Optimization to maximize the Revenue.
Intent Scoring Model: generate intent of user for buying a particular brand, article, price levels, discount. etc.

Machine LearningDeep LearningFeature StoreReal-time ProcessingPricing ModelsReturn Prediction+2

Great learning

Visiting Faculty (University of Illiniois & Great Lakes University)

Sep 2017 – Sep 2021 · 4 yrs · Bangalore

https://www.greatlearning.in/faculty/sajan-kedia
Taking weekend courses on Big Data Analytics & Machine Learning.
Course Name: Applying Machine Learning in Real-Time on Streaming data using Spark Streaming.

Media iq digital ltd

Senior Data Science Engineer

Oct 2014 – Sep 2017 · 2 yrs 11 mos · Bangalore

Predict: CTR prediction in AdTech. Huge Spark clusters for crunching massive RTB(Real Time Bidding) data.
Demographic Prediction: predict users' gender, age, education, etc. to target user segments in Ad campaigns.
MiQ Audience: keyword categorization & targeting in RTB. Ex: travel, auto, etc advertisers category.
Performance Index(PI): Key performance indicators of seller, domain, geo, etc. used for campaigns
optimizations.
Working on many NLP projects.
Technology used: spark, kafka, stream api, scikit-learn, python, Hadoop, Hive, Apache Mahout, AWS servers, S3 Cloud Storage, Redshift, EMR, K-Means Clustering, Canopy Clustering, SQL, java, shell, hudson, pandas, spark streaming-api, shell scripts

CTR PredictionAdTechReal-Time BiddingNLPData ScienceMachine Learning

Ibm india research labs

ML Research Engineer

Jun 2013 – Oct 2014 · 1 yr 4 mos · Bangalore, India

Intelligence Law Enforcement (ILE): built intelligence tool to leverage social media data to detect law
enforcement scenarios like protest, threat, refugee, bomb etc.
Key Contributions: Implemented crawler for Twitter & Facebook. Getting top trending keywords & topics from social media. Sentiment analysis. Topic detection.

Big Data AnalyticsSocial Media ModelingStreaming DataBig DataData Science