# Saikrishna Bhagavatula

> Machine Learning | Video Streaming | Engineering

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/saikrishnabhagavatula

Solving interesting problems at scale related to Video Streaming and Machine Learning. 
	 
Core Skills:
•	ML: PyTorch, Scikit-learn, Spark, NumPy, Pandas, Matplotlib, R. 
•	Tech Stack: ZooKeeper, Redis, Nginx, IPVS, Kafka, Fluent, ELK, Git, Jenkins and AWS services (EC2, S3), Linux, HTTP, TCP/IP.
•	Languages:  Python, C++, Node.js, Go, C, R.
•	Multimedia: HLS, DASH, SCTE 214-4, MPEG TS, DVB Subtitles.

## Work Experience
### Staff Software Engineer @ Reddit, Inc.
Jan 2020 – Present

### Machine Learning Engineer - Video Streaming Infra @ Cisco
Jan 2018 – Jan 2019 | San Francisco Bay Area
• Led a team of five in building a prototype of a log analytics system that could auto-triage and auto-fix issues for large scale cloud deployments drastically reducing support tickets and debug time.      Python/Scikit/Kafka/Fluent    
• Built ML pipelines for training and inference consisting of data ingest, preprocessing and feature extraction. 
• Built a visualization interface that explains the ML predictions by highlighting significant event correlations.           
• Demonstrated a working prototype at global conferences such as CES-Las Vegas & IBC-Amsterdam.  
• Conceptualized a novel idea, secured funding and pitched to Cisco Executives
• Guest Speaker at Startup Cisco & worked closely with the Cisco Strategic Innovation Group

### Senior Software Engineer - Video Streaming Infra @ Cisco
Jan 2011 – Jan 2019 | San Francisco Bay Area
Cisco Service Provider Video Group (sold off to Synamedia in Nov 2018):
• Led the design and development of features in a cloud-based IP Video Delivery Pipeline spanning LiveTV, Video on Demand, and CloudDVR solutions for top-tier service providers with millions of product users.
• Ensured high-availability and performance across components as a member of the cross-site architecture team.
• Microservices Architecture: Led the design and architecture of Cisco’s next-gen microservice based distributed video packaging solution. Successfully deployed the containerized solution on AWS for high-profile customers in a short time frame. GoLang/C++/Docker/Ansible/OpenShift/AWS S3/Etcd
• Distributed Video Packager: Implemented several features related to HLS/DASH/CIF specs, Subtitles (DVB), Ad-Insertion w/SCTE-35, MPEG-TS indexing. C++/NodeJS/RedisDB/Zookeeper/Nginx/IPVS/HAProxy
• Data Analytics: Built tools to analyze and visualize system resource utilization (CPU/Mem/Conns etc.), and validate streaming video and subtitle data leveraging open source tools such as Tesseract OCR. Python/R/TesseractOCR

### Speed Teams Intern for Lotus Notes and Domino @ IBM
Jan 2010 – Jan 2010 | Littleton, MA
Led a small team in developing an extensible compatibility layer between Lotus Domino and Sharepoint to improve productivity of customers in diverse business ecosystems. Java/Eclipse Plugin Dev

### Explorer Intern for Windows Phone 7 Series @ Microsoft
Jan 2009 – Jan 2009 | Redmond
Our team prototyped a device-adaptive web framework (similar to today’s Twitter Bootstrap + iUI) to improve the state of the Rich Mobile Web. Concepts adopted by platforms like WordPress and published in developer docs. PHP, JS


## Education
### Master of Science - MS in Computer Science (Machine Learning)
Georgia Institute of Technology

### Bachelor of Science - BS in Electrical Engineering
Georgia Institute of Technology

### High School
FIITJEE

### High School
Bharatiya Vidya Bhavan Public School


## Contact & Social
- LinkedIn: https://linkedin.com/in/saibv

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Source: https://flows.cv/saikrishnabhagavatula
JSON Resume: https://flows.cv/saikrishnabhagavatula/resume.json
Last updated: 2026-04-12