Mortha Sai Sriram

Software Engineer

United Kingdom4 yrs 9 mos experience

Key Highlights

Expert in Video Streaming and Backend Development.
Developed E2E Media Processing Pipelines for Disney+ launch.
Awarded Rockstar Award for team contributions.

Stackforce AI infers this person is a Backend Engineer specializing in Video Streaming and Machine Learning technologies.

Contact

Skills

Core Skills

Software EngineeringVideo StreamingBackend DevelopmentMachine Learning

Other Skills

Go (Programming Language)MongoDBPythonAWSFFmpegC++PrometheusFluentdGrafanaGolangAWS DocumentDBAWS S3Data AnalysisAirflowGensim Word2Vec

About

Hi, I am Sriram. I am interested in working on Backend Services, Machine Learning and Video Streaming technologies. I have been working as a Software Development Engineer in the Video Platform team at Disney+Hotstar for the last year. For the past year, I have been involved in the development of E2E Media Processing Pipelines for the Disney+ launch in 18+ countries. I love to work on challenging problems, which will push me hard to improve my problem-solving skills.

Experience

4 yrs 9 mos

Total Experience

1 yr 11 mos

Average Tenure

11 mos

Current Experience

Tiktok

Software Engineer

May 2024 – Jun 2025 · 1 yr 1 mo · Singapore · On-site

Go (Programming Language)MongoDBSoftware Engineering

Hotstar

2 roles

SDE 2 - Video Platform

Promoted

Aug 2022 – Apr 2024 · 1 yr 8 mos

Designed and implemented Real time Live Encoding Monitoring using Python Multiprocessing, VMAgent, Prometheus,Fluentd, Grafana.
Designed and implemented Glacier Auto Un-archival flow using Golang, AWS DocumentDB, AWS S3.Existence of this service allowed aggressive archival of Source files in S3, saving thousands of dollars
Developed an Ffmpeg filter to Downsample Atmos audio files.This enabled Content Operation folks to perform QC of Atmos Source files. Contributed to FFmpeg (C++).
Integrated Processing and Delivery of Dolby Atmos at Hotstar.
Implemented SCTE Passthrough for MPEG-TS in FFmpeg, this will enable development of In-house Live Encoder.
Optimised ABR Ladder (Adaptive Bitrate) for H264 rendition of Videos providing better streaming experience for consumers and saving Thousands of dollars for the organisation. Analysed VMAF, BD-Rate of streams to decide on Optimal Ladder.

PythonAWSFFmpegC++Video StreamingBackend Development

SDE 1 - Video Platform

Jul 2021 – Aug 2022 · 1 yr 1 mo

Worked on Development of E2E Video Processing Pipelines for MovieLabs Digital Distribution Framework which is being used for processing and publishing of contents in Disney’s expansion to 80+ Countries
Developed Pipelines for Ingestion of Thumbnails and Markers for Contents
Developed Midroll Ingestion Backend service. This enables adding midrolls(ads) for our pre-processed large content catalogue
Received Rockstar Award for contribution to the team
Technologies: Python, Airflow, C++, AWS Tech Stack, Ffmpeg

PythonAirflowC++AWSVideo StreamingBackend Development

Tata consultancy services

NLP based recommendation system on Restaurant's review comments

Mar 2021 – Jun 2021 · 3 mos · Chennai, Tamil Nadu, India

Applied Machine Learning and NLP Techniques to predict areas of Improvement for Restaurants using review comments for the restaurant

Gensim Word2VecScikit-LearnMachine Learning

Fincare small finance bank

Roles of Digital Initiatives in Financial Inclusion/Mass Banking

Jun 2018 – Jul 2018 · 1 mo · Greater Bengaluru Area

Manually Tested their Loan Disbursement Application and reported bugs to the developer.
Visited Bank branches and took feedback from Bank Employees and reported to my manager.