Let me introduce myself
This is me.
Expanding my toolbox.
Working on things that interests me.
Exploring ideas.
Feeling social.
Hi. My name is Ankit.
Developer Relations Specialist at Rockset
Welcome
Let me introduce myself
This is me.
Expanding my toolbox.
Working on things that interests me.
Exploring ideas.
Feeling social.
Hi, my name is Ankit Khare. I am a Developer Relations Leader, creative content creator, and AI enthusiast. I am currently leading Developer Relations at Rockset.
I specialize in creating and executing comprehensive DevRel programs, aligning DevRel strategy with GTM motions, and enhancing developer experiences through cross-functional collaboration with sales, marketing, product, and engineering teams. My work includes influencing product roadmaps, collaborating with AI influencers to leverage their communities, producing engaging developer content, and managing diverse creative content teams. I also have expertise in revamping documentation and social media channels, creating API tutorials and technical articles, developing social media strategies, building workshops, streamlining email marketing, managing SEO experts, and organizing impactful developer-centric, no-fluff engineering and science-focused community events.
If you would like to know more about me or if you're just feeling social, feel free to reach out – I appreciate socializing and human connection. I believe that before anything else, we are all human beings. I value exchanging ideas, listening to people's stories, and learning from their life experiences.
Resume
Neural Networks
Computer Vision
Image Captioning
AI-assisted Path Planning
Data Modelling
Software Engineering
and others..
I graduated with a Master's degree in Computer Science from UT-Arlington. During my time in the program, I focused on understanding the principles behind machine learning and explored how deep learning enables computers to process visual, auditory, and linguistic data. Some of my happiest memories from my graduate days include engaging in conversations with my supervising professor, Dr. Huber, and his company during our conference presentations, as well as working under his supervision to publish my research on image captioning using deep neural networks and path planning using deep reinforcement learning.
Master of Science - AI & Intelligent Agents
Show Courses
2016 - 2019
Courses
B.Tech (Hons.) Computer Science
Show Courses
2010-2014
Courses
Feb. 2023
From
Developer Experience Lead
Sep. 2023
To
Twelve Labs is building powerful video understanding technology. Their multimodal AI helps businesses and developers deliver contextual search, generate summaries, classify content, and much more. The central theme is to help humans understand videos better and faster. Check out some of the API tutorials I wrote for them; each tutorial comes with a web app built to demonstrate how the APIs could be used: Twelve Labs API Tutorials
Oct 2023
From
Developer Relations Specialist
Present
To
Rockset indexes your vector, text, geospatial, and JSON data for the most efficient hybrid search and real-time analytics at any scale. I'm shaping the developer relations function at Rockset, focusing primarily on establishing Rockset as the go-to retrieval data system for GenAI app builders and a speed layer for real-time search and analytics developers. Check out this playlist of short videos I produced Short clips and movies produced in-house at Rockset.
May 2020
From
Head of Content & DevRel
Jan. 2023
To
Abacus.AI is an AI-assisted data science and end-to-end MLOps platform that enables real-time machine learning and deep learning at scale for common enterprise use cases. I have experienced the full spectrum of DevRel, from managing the documentation center, building communities on Slack and Eventbrite, running monthly coding workshops, to conducting customer demos and writing blogs/tutorials. Check out their documentation center that I used to manage: https://abacus.ai/help/useCases
2018
From
Graduate Researcher
2019
To
My first DevRel experience was at the Learning and Adaptive Robotics lab at UT-Arlington, where I developed an innovative deep-learning encoder-decoder system for image captioning. This resulted in human-like captions that outperformed existing models by 3.7%. My work was presented at BMVC 2019 and received a Best Student Paper Honorable Mention. Additionally, I created two popular YouTube videos on using computer vision for automated parking systems, which led to numerous production requests and appreciation emails for sharing my code and ideas.
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