Divyam Saran

Engineering Manager

London, United Kingdom10 yrs 3 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Led automation reducing reporting time by 90 hours.
Developed predictive models with over 80% accuracy.
Integrated deep learning for real-time applications.

Stackforce AI infers this person is a skilled professional in AI and Fintech with strong expertise in machine learning and predictive analytics.

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Skills

Core Skills

Machine LearningRoboticsPredictive AnalyticsCloud Computing

Other Skills

Deep LearningPythonImage ClassificationSQLMicrosoft AzureXGBoostData AnalysisAPI DevelopmentMobile ApplicationsIOTWindows AzureAndroid DevelopmentMicrosoft SQL ServerAlgorithm DesignProgramming

About

Currently building the safest messaging platform in the world. Are you reaching out for a referral? If yes, please adhere to the following: Have we worked together in the past? If yes, drop me a message. Otherwise, are you applying for a E6+ or a M1+ role? If yes, drop me a message with the job link. Otherwise, apply directly at metacareers.com, I did the same to get here!

Experience

10 yrs 3 mos

Total Experience

3 yrs 5 mos

Average Tenure

5 yrs 3 mos

Current Experience

Uber

Software Engineer

Feb 2020 – Dec 2020 · 10 mos · Hyderabad, Telangana

Deutsches forschungszentrum für künstliche intelligenz (dfki)

Research Assistant

Sep 2018 – Sep 2019 · 1 yr · Saarbrücken Area, Germany

As a research assistant at the Interactive Machine Learning team, I was responsible for the following projects:
 Captioning scenes using human attention: Integrating deep learning models and knowledge bases with Pupil Labs eye tracker to get real-time captioning of scenes.
 HP Sprout based interactive real time image classification.
 Multi-modal incremental learning for human-robot language grounding: using pre-trained models and knowledge bases to ground symbols for robots.

Microsoft

2 roles

Software Engineer

Jul 2013 – Sep 2017 · 4 yrs 2 mos · Hyderabad Area, India

Worked as a software engineer at Microsoft India in the Predictive Analytics team working on machine learning powered applications for financial forecasting and optimizing sales pipelines. Major tasks:
 Led the automation of a business intelligence report which forecasts product revenue and enhances target gap-analysis. Reduced turnaround time for monthly reporting by 90 hours for 3200 active users.
 Led the development of an XGBoost model that predicts churn in the sales pipeline with >80% accuracy.
 Deployed several models on Microsoft Azure for real-time insights on Microsoft CRM, with over 100k request/day.
 Reduced API response by 300% to ~7s by redesigning back end architecture and moving APIs to cloud