Mitali Sodhi
AI for Recommendation Systems | Multimodal AI (Vision, Audio, LLMs) | Building ML Systems at Scale
- Role
- Director of Engineering at JioHotstar
- Location
- Bengaluru, KA, IN
- LinkedIn followers
- 500 followers
About Mitali Sodhi
Applied Science Leader with 11+ years of experience building large-scale machine learning systems witha focus on multimodal content understanding, trust & safety, and generative AI. Proven track record ofleading applied scientists and engineers to develop real-world ML solutions in high-impact domains likeads, moderation, ranking, and personalization. Extensive experience with deep learning, vision-languagemodels (VLMs), and LLM-based systems.
Experience
Director of Engineering
Sep 2025 — Present
Leading the engineering efforts behind tray ranking, page ranking, and recommendation infrastructure that power the user journey.2. Owning and evolving personalization platforms at scale to deliver dynamic, contextual discovery experiences.3. Building large-scale, low-latency systems that determine what content users see across key product surfaces.4. Driving innovation in multi-objective ranking, exploration strategies, and real-time inference to enhance engagement and retention.5. Leading a cross-functional team across Machine Learning, Data Science, and Engineering to shape the future of personalized experiences.
Education
IIMT Engineering College
Bachelor of Technology (B.Tech.), Electronics and Communication Engineering
2008 — 2012
International Institute of Information Technology Bangalore
Master of Technology (M.Tech.), Information Technology
2012 — 2014
Skills
- Html
- Javascript
- Ios Development
- Artificial Intelligence
- Computer Science
- Product Management
- Core Java
- Linux
- Mysql
- Data Analysis
- Segmentation
- Python
- Team Leadership
- C++
- Machine Learning
- C
- Programming
- Algorithms
- Jsp
- Matlab
- Eclipse
- Operating Systems
- Team Management
- Java
- Strategy
- Shell Scripting
- Product Development
- Objective-C
- Perl
- Embedded Systems
- Data Structures
- Computer Vision
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